In the rapidly advancing world of artificial intelligence (AI), content creators are continually seeking innovative ways to ensure their work bypasses AI detectors. Enter Pass AI Detection, a ground-breaking tool that not only refines your content for human readers but also ensures it’s tailored to bypass AI detectors increasingly utilised by search engines and other platforms.

What is Pass AI Detection?

Pass AI Detection is a sophisticated AI detection tool that analyses your text and modifies it to bypass both AI and human readers. It’s a game-changer for content creators, enabling them to create engaging content that meets the stringent requirements of AI detectors.

AI content detectors are utilised in a range of applications, from search engines to academic integrity tools like Turnitin. These AI detectors scrutinise the text to determine its relevance, quality, and originality. As a result, content creators need to ensure their content is tailored to bypass these AI content detection systems to improve visibility and reach.

Pass AI Detection leverages cutting-edge AI techniques to evaluate and modify your content. The process begins with the AI content detector, which scans your text and identifies areas for improvement. The AI detector looks at your distribution of keywords and topics and provides a suggested distribution that would optimise your content for AI content detection.

A Balanced Approach to Content Creation

Pass AI Detection centres on balance. It understands the negatives of keyword stuffing and the necessity for reader-friendly text. The tool doesn’t increase keyword frequency, but promotes balanced keyword distribution, crafting content that is both AI and reader-friendly.

As AI detection methodologies progress, Pass AI Detection adapts. The tool is continuously refining its algorithms to ensure your content remains optimised for the most recent AI detection techniques. This commitment to staying ahead of the curve positions Pass AI Detection as a leader in the AI content detection market.

Content creation is a critical component of successful marketing strategies. Pass AI Detection helps generate content that not only attracts your audience but also performs well with AI detectors, achieving an ideal balance between human readability and AI detectability. Experience cost-effective, innovative content creation with Pass AI Detection’s unique BYOK model. Join the revolution today.

<p>The post Meet Pass AI Detection: Your Free Tool to Bypass AI Content Detectors first appeared on Prompt Muse.</p>

Ancient Times: Automata and Early Mechanical Devices

During ancient times, people had a fascination with creating machines that could perform tasks on their own. These early mechanical devices were often inspired by nature and the movements of animals. One of the most famous examples of these early machines is the Antikythera mechanism. Discovered in 1901 in a sunken ship off the coast of the Greek island of Antikythera, this device is thought to have been built around 200 BCE. It consisted of a complex system of gears and was used to predict the positions of the sun, moon, and planets, as well as lunar and solar eclipses.

The Antikythera mechanism was an incredible feat of engineering for its time and is often considered to be one of the first examples of a complex mechanical device. It was also a testament to the advanced knowledge of astronomy that existed in ancient Greece.

Other examples of ancient automata include the chessboard robot. This device was reportedly built in the 9th century and used a hidden human operator to move the pieces on the chessboard. The operator would sit inside the machine and use levers and pulleys to move the pieces, making it appear as though the machine was moving them on its own.

In addition to these early mechanical devices, there were also other types of automata that were created during ancient times. These included statues that could move and speak, as well as water clocks and other timekeeping devices.

Overall, the development of automata and early mechanical devices during ancient times was an important milestone in the history of technology. It paved the way for future innovations and helped to lay the foundation for the modern world we live in today.

Late 1700s – Early 1800s: The Industrial Revolution and Early Automata

The Industrial Revolution was a period of significant change that transformed the way goods were produced, and it had a profound impact on society. During this time, there were many advances in mechanical technology, which led to the development of early automata.

One of the most famous examples of early automata from this time is the Mechanical Turk. The Turk was a chess-playing automaton that was built in 1770 by Wolfgang von Kempelen, an engineer from Austria. The Turk was a life-size figure of a man sitting at a table, and it appeared to be capable of playing chess on its own, defeating many notable opponents throughout Europe and America.

However, the reality was that the Turk was not capable of playing chess on its own. Instead, it was operated by a human chess player who was hidden inside the machine. The player sat on a small platform inside the Turk and used a series of levers and pulleys to control the movements of the chess pieces on the board.

Despite the fact that the Mechanical Turk was not truly automated, it was an impressive feat of engineering for its time and became famous for its ability to defeat skilled chess players. It toured throughout Europe and America for over 80 years, attracting crowds of people who were amazed by its apparent ability to play chess on its own.

In addition to the Mechanical Turk, there were many other examples of early automata that were developed during the Industrial Revolution. These included machines that could perform simple tasks like weaving and spinning, as well as more complex devices like the Jacquard loom, which used punch cards to control the weaving of intricate patterns.

Overall, the Industrial Revolution was a critical period in the development of mechanical technology and automation. It laid the foundation for the modern era of manufacturing and set the stage for future advancements in automation and robotics.

1950s: The Birth of Artificial Intelligence

In 1956, John McCarthy, an American computer and cognitive scientist, coined the term “artificial intelligence” or “AI.” This marked the beginning of a new era in computing, where machines were no longer limited to performing basic arithmetic operations but were instead being developed to simulate human-like reasoning and decision-making.

At the time, computers were still in their infancy and were mainly used for scientific and military purposes. They were large, expensive, and required specialized knowledge to operate. However, McCarthy saw the potential for these machines to be used for more than just number-crunching.

In his proposal for the Dartmouth Conference, which was held in the summer of 1956, McCarthy outlined his vision for a machine that could reason and learn from past experiences. He envisioned a system that could simulate human intelligence by using a combination of logic, rules, and probability to make decisions.

This idea was revolutionary at the time, and it sparked a new wave of research and development in the field of AI. Over the next few decades, researchers made significant strides in developing algorithms and techniques that could simulate human-like intelligence.

One of the early breakthroughs in AI was the development of expert systems in the 1970s. These were programs that could replicate the decision-making abilities of human experts in specific domains such as medicine, finance, and engineering. Expert systems were widely used in industry, but they were limited in their ability to generalize to new situations.

In the 1980s and 1990s, there was a renewed focus on developing machine learning algorithms that could enable machines to learn from data and improve their performance over time. This led to the development of neural networks, which were inspired by the structure of the human brain.

Today, AI is a rapidly evolving field that is being used in a wide range of applications, from speech recognition and natural language processing to image and video analysis and autonomous vehicles. While the goal of creating machines that can match or surpass human intelligence is still far off, advances in AI are driving significant changes in industry, healthcare, and other fields, and the potential for future breakthroughs is immense.

1960s – 1970s: Rule-Based Expert Systems

In the 1960s and 1970s, rule-based expert systems were a significant area of research in the field of artificial intelligence. These systems were designed to solve complex problems by breaking them down into a set of rules that the computer could follow. The idea behind rule-based expert systems was to capture the knowledge and expertise of human experts and encode it into a set of rules that a computer could use to solve similar problems.

One of the earliest examples of a rule-based expert system was MYCIN, developed by Edward Shortliffe in 1976. MYCIN was a medical expert system designed to diagnose bacterial infections based on a set of symptoms and medical history. It was designed to replicate the decision-making process of a human expert, using a set of rules and heuristics to reach a diagnosis.

Another example of a rule-based expert system was DENDRAL, developed by Joshua Lederberg and his colleagues at Stanford University. DENDRAL was designed to help chemists identify the molecular structure of organic compounds based on their mass spectrometry data. It used a set of rules to generate hypotheses about the molecular structure and then used feedback from the user to refine and improve the accuracy of its predictions.

Rule-based expert systems were widely used in industry and government during the 1970s and 1980s. They were particularly useful in areas where there was a large amount of specialized knowledge that needed to be applied in a consistent and reliable manner. However, rule-based expert systems had some limitations, particularly when it came to dealing with uncertainty and ambiguity.

Despite their limitations, rule-based expert systems paved the way for further advances in the field of artificial intelligence. They demonstrated that it was possible to encode human expertise into a computer system and use it to solve complex problems. Today, the ideas and techniques behind rule-based expert systems continue to influence the development of more advanced AI systems, including machine learning algorithms and deep neural networks.

1969: The First AI Winter

In 1969, the US government cut funding for artificial intelligence (AI) research, marking the beginning of what is now known as the first AI winter. The term “AI winter” refers to a period of reduced funding and interest in AI research that occurred several times throughout the history of AI.

The first AI winter was caused by a combination of factors, including the lack of significant progress in AI research, the high cost of hardware and software needed for AI research, and the inability of AI researchers to demonstrate practical applications for their work. As a result, the US government, along with other organizations and institutions, began to reduce funding for AI research.

The first AI winter lasted from the late 1960s to the early 1970s and had a significant impact on the development of AI research. Many AI researchers were forced to abandon their work or move on to other areas of research, and funding for AI research remained low for several years.

The AI winter also had a profound impact on the perception of AI among the general public. Many people began to view AI as a pipe dream or a science fiction concept, rather than a realistic field of research with practical applications.

However, the first AI winter eventually came to an end, as new breakthroughs and innovations in AI research led to renewed interest and funding. In the 1980s, the development of expert systems and the rise of machine learning led to a resurgence of interest in AI research, which helped to drive significant progress in the field.

Today, AI is once again a rapidly growing field with significant investment and interest from governments, corporations, and individuals around the world. While the first AI winter was a challenging time for AI researchers and the field as a whole, it ultimately served as a reminder of the importance of perseverance and continued innovation in the pursuit of scientific advancement.

1980s – 1990s: Neural Networks and Machine Learning

In the 1980s and 1990s, researchers began exploring the use of neural networks and machine learning techniques in the field of artificial intelligence. These technologies represented a significant departure from the earlier rule-based expert systems and offered new possibilities for creating intelligent machines that could learn and adapt over time.

Neural networks are computer systems that are modeled after the structure and function of the human brain. They consist of interconnected nodes or “neurons” that can learn and adapt based on new information. Neural networks can be used for a wide range of tasks, from image and speech recognition to natural language processing and decision-making.

Machine learning involves creating algorithms that can learn from data and make predictions or decisions based on that data. These algorithms can be used to classify data, detect patterns, and make predictions. One of the key benefits of machine learning is its ability to improve over time as it receives more data, making it an ideal technique for tasks like image and speech recognition.

The development of neural networks and machine learning techniques in the 1980s and 1990s led to significant advances in AI research. Researchers were able to develop sophisticated algorithms that could learn and adapt to new data, opening up new possibilities for creating intelligent machines.

One of the most significant applications of neural networks and machine learning in the 1990s was in the field of computer vision. Researchers developed algorithms that could analyze and recognize images, opening up new possibilities for applications like facial recognition, object recognition, and autonomous vehicles.

Today, neural networks and machine learning continue to be a major focus of AI research. The development of deep neural networks and other advanced machine learning techniques has led to significant breakthroughs in areas like natural language processing, speech recognition, and computer vision. As these technologies continue to evolve, we can expect to see even more significant transformations in the field of artificial intelligence.

1997: Deep Blue Defeats Kasparov

The chess match between Deep Blue and Garry Kasparov in 1997 was a major turning point in the field of AI. Deep Blue was a specially designed computer system created by IBM, designed specifically to play chess at a professional level. The match was held in New York City and attracted a lot of media attention.

The match was played over six games, with Kasparov winning the first game, but then losing the second and third games. The fourth game ended in a draw, and Kasparov won the fifth game, leaving the match tied at 2.5 games each. In the final game, Deep Blue emerged victorious, defeating Kasparov and winning the match by a score of 3.5 to 2.5.

The victory of Deep Blue over Kasparov was a significant achievement in the field of AI, as it demonstrated that machines could be developed to compete at a high level in complex games like chess. It also showed that machines were capable of analyzing and evaluating vast amounts of data in a short amount of time, far beyond what a human could do.

After the match, there was some controversy over whether or not Deep Blue’s victory was a true test of AI. Some argued that Deep Blue’s victory was due more to its brute computational power than to any real intelligence. Others argued that the machine’s ability to adapt and learn from past games made it a true example of AI.

Regardless of the debate, the match between Deep Blue and Kasparov was a pivotal moment in the history of AI. It showed that machines were capable of performing complex tasks that were once thought to be the sole domain of human intelligence. This breakthrough paved the way for further advances in the field of AI, including the development of machine learning algorithms and deep neural networks, which have led to even more significant breakthroughs in recent years.

2000s: Big Data and Deep Learning

In the 2000s, the advent of the internet and the explosion of data led to a renewed interest in artificial intelligence. Big data analytics became an essential part of AI research, with the ability to analyze vast amounts of data to find patterns and insights. Deep learning, a subset of machine learning, also emerged during this time and became an area of intense research and development.

Big data analytics involves the use of advanced algorithms and tools to analyze and make sense of large and complex data sets. The explosion of data in the 2000s, including social media, digital devices, and other sources, meant that big data analytics became increasingly important for businesses and organizations looking to gain insights and improve decision-making.

Deep learning, a subset of machine learning, involves the use of artificial neural networks with multiple layers. These networks are designed to learn from data and make predictions based on that data. Deep learning algorithms can be used for a wide range of applications, including image and speech recognition, natural language processing, and decision-making.

One of the most significant breakthroughs in deep learning came in 2012 when a deep neural network called AlexNet won the ImageNet Large Scale Visual Recognition Challenge, a competition for computer vision systems. AlexNet’s success demonstrated the potential of deep learning to revolutionize computer vision and image recognition, opening up new possibilities for applications like self-driving cars and facial recognition.

Overall, the 2000s saw significant progress in the development of AI, driven by the explosion of data and the emergence of big data analytics and deep learning. These technologies have had a significant impact on many industries, including healthcare, finance, and manufacturing, and have paved the way for further advances in AI research and development.

2010s – Present: AI Goes Mainstream

The 2010s saw a significant surge in the mainstream adoption of AI applications in various industries. This period marked the beginning of the fourth industrial revolution or Industry 4.0, which involved the convergence of technology, data, and physical systems.

One of the key drivers of this AI revolution was the growth of big data and cloud computing. The rise of the internet and digital technologies led to the collection of vast amounts of data, which could be used to train machine learning algorithms and develop sophisticated AI models. With cloud computing, businesses could access these resources on demand, without the need for significant upfront investment in hardware and software.

This period saw the emergence of virtual assistants like Siri and Alexa, which became ubiquitous in many households around the world. These assistants used natural language processing and machine learning algorithms to understand user queries and provide personalized responses.

The use of AI also expanded into various industries, including healthcare, finance, and manufacturing. In healthcare, AI is being used for early disease detection, personalized treatment recommendations, and drug discovery. In finance, AI is used for fraud detection, trading algorithms, and risk management. In manufacturing, AI is used for predictive maintenance, quality control, and supply chain optimization.

The development of self-driving cars also gained significant attention in this period, with major tech companies like Google, Tesla, and Uber investing heavily in autonomous vehicle technology. Self-driving cars use a combination of machine learning algorithms, computer vision, and sensor technologies to navigate and make decisions on the road.

Overall, the 2010s saw a massive expansion of AI applications in everyday life and across various industries. With continued advances in AI technology, we can expect to see even more significant transformations in the way we live and work in the coming years.

2011: Watson Wins Jeopardy!

In 2011, IBM’s Watson computer made history by winning a Jeopardy! match against two former champions, Ken Jennings and Brad Rutter. The match was broadcast on national television and attracted a lot of attention from the media and the public.

Watson was a highly advanced computer system designed by IBM to understand and respond to natural language clues. It was named after Thomas J. Watson, the founder of IBM. The system was built using a combination of advanced algorithms, machine learning, and natural language processing techniques.

The Jeopardy! match was a significant breakthrough in the field of natural language processing. Jeopardy! is a game show that involves answering questions in the form of answers, and the questions can be quite complex and require a deep understanding of language and culture. Watson’s ability to understand and respond to these questions in real-time was a major achievement for the field of natural language processing.

Watson’s success in the Jeopardy! match was due to its ability to analyze vast amounts of data and make connections between seemingly unrelated pieces of information. It used a combination of statistical analysis and natural language processing to understand the questions and generate responses.

The victory of Watson over human champions was a significant moment in the history of AI. It demonstrated that machines were capable of understanding and responding to natural language, a task that was once thought to be the exclusive domain of human intelligence. It also showed that machine learning algorithms and natural language processing techniques were becoming increasingly sophisticated and capable of performing complex tasks.

2016: AlphaGo Defeats Lee Sedol

In 2016, Google’s AlphaGo computer made history by defeating world champion Lee Sedol in a five-game match of the ancient Chinese game of Go. Go is considered one of the most complex games in the world, with more possible moves than there are atoms in the universe. AlphaGo’s victory was a significant achievement for the field of artificial intelligence and demonstrated the potential of deep learning and AI to solve complex problems.

AlphaGo was developed by DeepMind, a British AI research company acquired by Google in 2015. The system used a combination of deep neural networks and reinforcement learning to learn the game of Go and improve its gameplay over time. Reinforcement learning involves training a computer system by rewarding it for positive behavior and punishing it for negative behavior, allowing the system to learn from its mistakes and improve its performance.

The match between AlphaGo and Lee Sedol attracted a lot of attention from the media and the public, as it pitted human intelligence against artificial intelligence in a highly competitive and complex game. The victory of AlphaGo over Lee Sedol was a significant milestone in the development of AI, demonstrating the potential of AI to perform complex tasks that were once thought to be the exclusive domain of human intelligence.

AlphaGo’s success in the game of Go had significant implications for the future of AI research and development. It showed that deep learning and reinforcement learning techniques could be used to solve complex problems and learn new tasks, paving the way for further advances in AI technology. The victory of AlphaGo also sparked renewed interest and investment in AI research, leading to significant progress in areas like natural language processing, computer vision, and robotics.

Overall, the victory of AlphaGo over Lee Sedol was a significant moment in the history of artificial intelligence. It demonstrated the potential of deep learning and AI to solve complex problems and perform tasks that were once thought to be the exclusive domain of human intelligence. As AI technology continues to evolve, we can expect to see even more significant transformations in the way we live and work in the coming years.

2021: GPT-3 and Advanced Language Models

In 2021, OpenAI released GPT-3, a state-of-the-art natural language processing model that has been hailed as a breakthrough in AI research. GPT-3 stands for “Generative Pre-trained Transformer 3,” and it is the third iteration of a series of language models developed by OpenAI.

GPT-3 is a massive deep learning model that was trained on a vast amount of data from the internet, including books, articles, and websites. It has over 175 billion parameters, making it one of the largest and most complex language models ever created.

One of the most significant advances in GPT-3 is its ability to generate human-like text. It can write essays, stories, and even computer code with remarkable fluency and accuracy. GPT-3’s language generation capabilities have been used in a wide range of applications, from chatbots and virtual assistants to content creation and language translation.

GPT-3’s language generation capabilities are made possible by its deep learning architecture, which allows it to learn from large amounts of data and generate responses based on that learning. It also has the ability to understand context and generate responses that are appropriate to the situation.

GPT-3’s release has sparked a lot of excitement in the AI community, as it represents a significant step towards creating more advanced AI systems that can understand and interact with humans more effectively. It has the potential to revolutionize the way we interact with machines, making them more human-like and easier to use.

Final Thoughs

As we’ve seen, the history of AI is a long and fascinating one, filled with many breakthroughs and setbacks. From ancient automata to advanced deep learning models, AI has come a long way over the centuries. But where is it headed next? What new breakthroughs and innovations lie ahead?

As AI continues to evolve and develop, it raises many questions and challenges. Will machines eventually surpass human intelligence, and if so, what will that mean for our society? How can we ensure that AI is used ethically and responsibly? And what role will humans play in a world dominated by intelligent machines?

In the words of Stephen Hawking, “The rise of powerful AI will be either the best or the worst thing ever to happen to humanity. We do not yet know which.” But by continuing to push the boundaries of AI research and development, and by engaging in thoughtful and ethical discussions about its implications, we can work towards creating a future where AI is a force for good, and where humans and machines can coexist in harmony.

<p>The post A Brief History of Artificial Intelligence: From Its Humble Beginnings to Its Future Possibilities first appeared on Prompt Muse.</p>

In a world where technology evolves at breakneck speed and buzzwords capture the public’s imagination, the term “metaverse” has taken center stage. Its allure is undeniable, offering a tantalizing glimpse into a future where the virtual and physical worlds converge seamlessly. However, beneath this captivating veneer lies a perplexing paradox: the metaverse remains an abstract concept that many fail to grasp, even as they find themselves enthralled by it. This article delves into the metaverse phenomenon, exploring its origins, the role of major corporations, and the potential consequences of chasing an ill-defined dream.

The Roots of the Metaverse and Its Pop Culture Appeal

The metaverse’s literary origin can be traced back to Neal Stephenson’s 1992 novel Snow Crash, which presented a virtual world that functioned as an extension of reality. However, it was the film adaptation of Ernest Cline’s Ready Player One that truly catapulted the metaverse into the public consciousness. The movie’s portrayal of a fully immersive digital universe captured the imaginations of millions, setting the stage for a surge of interest in this futuristic concept.

Corporate Ambitions and the FOMO Factor

Major corporations, such as Facebook (now Meta), have been quick to capitalize on the public’s fascination with the metaverse. Their ambitious claims and rebranding efforts have perpetuated the myth of the metaverse as an imminent technological wonderland. This narrative has given rise to FOMO, or Fear of Missing Out, which drives individuals and businesses alike to invest in projects that promise a slice of the metaverse pie.

The metaverse’s abstract nature has made it the perfect playground for marketing campaigns that exploit the public’s innate curiosity and desire for innovation. The term has been used to sell everything from virtual real estate to digital fashion, with little clarity on what the metaverse truly entails. In the absence of a universally agreed-upon definition, the metaverse risks becoming a hollow catchphrase that serves corporate interests more than it fosters genuine technological advancement.

The Reality of Virtual Worlds and Digital Assets

While the metaverse remains a nebulous concept, existing virtual worlds like VRChat and digital assets have already made their mark on the tech landscape. These platforms and assets cater to niche audiences, providing immersive experiences for users who actively engage with them. However, the current state of these technologies does not match the grandiose vision of the metaverse as a ubiquitous, all-encompassing digital universe.

Although some proponents argue that the metaverse will emerge as a natural evolution of existing virtual worlds, the vast majority of people have yet to show a sustained interest in these platforms. As it stands, the gulf between the metaverse’s utopian promise and the reality of consumer engagement remains wide, casting doubt on the notion that we are on the cusp of a metaverse revolution.

The Metaverse Paradox: A Vision that Obscures

The allure of the metaverse lies in its ability to captivate and inspire. However, this same quality has given rise to a paradox: the more we chase the metaverse dream, the further it recedes from our grasp. The ambiguity of the term allows it to assume myriad forms, fueling speculation and hype without fostering a clear understanding of what it truly entails.

This metaverse paradox poses several risks. The term’s widespread misuse may lead to disillusionment among users and investors, as the promised digital utopia fails to materialize. A prime example of this disillusionment is the $700 billion crash in Meta’s stock value in October, which equated to a 25% drop in share price. This occurred as users grew tired of broken promises amid rising inflation and fears of a looming recession. Furthermore, the focus on the metaverse may divert attention and resources from more tangible and immediate technological challenges, such as bridging the digital divide, ensuring data privacy, and promoting equitable access to technology. This shift in focus has also impacted other tech giants like Google and Snap, who have experienced hits to their ad revenues. By fixating on a poorly-defined vision of the future, we risk neglecting the pressing issues that demand our attention today.

Rethinking the Metaverse and Embracing Clarity

The metaverse, as a concept, is undoubtedly intriguing and thought-provoking. However, it is crucial to recognize the potential pitfalls of pursuing an ill-defined dream that serves corporate interests more than it addresses real-world needs. As we navigate the complex landscape of technology and innovation, it is vital to ground our discussions in reality, prioritizing tangible progress over nebulous fantasies.

In the words of renowned science fiction author William Gibson, “The future is already here — it’s just not evenly distributed.” Instead of getting swept away by the metaverse craze, we should focus on harnessing technology to create a more equitable and sustainable future for all. By fostering a clearer understanding of the metaverse and its implications, we can ensure that our collective enthusiasm is channelled towards meaningful innovation that benefits the many, rather than the few.

By Alex Player

<p>The post The Metaverse: A Misconstrued Term Fueling FOMO and Misdirection first appeared on Prompt Muse.</p>

Artificial intelligence (AI) has come a long way in recent years, and with language models like ChatGPT, it’s easier than ever to interact with technology. However, as with any tool, the success of your AI interaction lies in the quality of the prompts you use. In this article, we’ll explore five research-backed prompting methods that can help you improve your AI experience, with full credit to the expert AI Youtuber, Goda Go (Like and Sub) for allowing us to share her content.

With these tips, you can get the most out of your AI assistant and achieve more accurate and meaningful results.

Consider the size of your prompt

One of the most common mistakes people make when prompting AI is either providing too little or too much information. It’s essential to consider the size of your prompt. ChatGPT, for instance, allows up to 4,097 tokens for the prompt and the result. If your prompt is 4,000 tokens, you’ll only get a response of 97 tokens, which isn’t enough to produce meaningful results.

Tokens represent the limit after which AI forgets. Different models have varying token sizes. For example, ChatGPT uses the Da Vinci003 model with a limit of 4,000 tokens or approximately 3,000 words. When creating your prompt, ensure it’s within the allowable limit to maximize your results.

Providing too little information to AI can lead to vague or incomplete responses, leaving you with more questions than answers. On the other hand, too much information can cause confusion and overwhelm the AI, resulting in irrelevant or inaccurate results. Therefore, finding the right balance is crucial.

As mentioned earlier, ChatGPT allows up to 4,097 tokens for the prompt and the result. To make the most out of your AI experience, it is crucial to keep your prompt within this limit. Keep in mind that this limit is the total number of tokens, which includes spaces, punctuations, and other characters.

To ensure that your prompt is within the allowable limit, consider breaking it down into smaller, more manageable parts. This approach will help you focus on the essential details of your prompt and get more precise and accurate results.

Provide instructions

A prompt can contain information such as instructions or questions, and it can also include other details like inputs or examples. Here are a few examples of how you can use instructions to improve your AI experience:

• Use TLDNR (Too Long; Did Not Read) to provide a summary of your prompt.
• Include personal identifiable information for sales or email marketing purposes.\
• Use adjectives before your text. You can also ask ChatGPT to list 20 adjectives that go before a word like “story.”
• Assign a role to AI. For instance, you can start with “You are a doctor” or “You are a lawyer” and ask ChatGPT to answer medical or legal questions.

Use a Q&A format

The Q&A format is a powerful method to improve the precision and accuracy of the responses you receive from an AI assistant like ChatGPT. Unlike a standard prompt, the Q&A format involves asking specific questions to prime the AI with the exact answers you are looking for. By asking targeted questions, you can eliminate any ambiguity or confusion in your prompt and ensure that the AI focuses on the most important information.

The Q&A format is commonly used in research papers and academic literature, where researchers often include a list of questions and answers related to their research topic. This approach can be easily adapted to your interaction with ChatGPT. To use the Q&A format, simply structure your prompt as a series of questions and answers that you want ChatGPT to address.

For example, let’s say you are writing an article on the benefits of yoga and want to get some insights from ChatGPT. You could prompt ChatGPT with questions like “What are the physical benefits of yoga?” or “How does yoga improve mental health?” By using the Q&A format, you can ensure that ChatGPT provides you with precise and relevant information that directly answers your questions.

The Q&A format is particularly useful for complex topics that require detailed and specific information. By breaking down your prompt into a series of targeted questions, you can ensure that ChatGPT focuses on the most important aspects of the topic and provides you with the most accurate responses.

Try the chain of thought prompting method

Chain of thought prompting is a powerful technique that can help you solve complex problems. Here’s how it works:

• Show ChatGPT an example of a complex problem you’re trying to solve.
• Explain how you would solve the problem step by step.
• Close the loop by asking, “What would be the result?”
• Include your complex but similar question.

This method is three times more effective at tasks like arithmetic, common sense, and symbolic reasoning compared to a simple standard prompt.

Use the “Criticize Me” mode

“Criticize Me” mode is a personal approach to challenge ChatGPT’s output and encourage it to criticize itself. Here’s how it works:

• Provide input and instructions to ChatGPT.
• Once you get a response, switch to “Criticize Me” mode and ask ChatGPT to act as a critic.
  For example, you can ask ChatGPT to criticize email titles and convince you why they’re bad.
  Act as a harsh critic and provide brutally honest feedback.
• Encourage ChatGPT to rewrite the titles.

This method can help you challenge your assumptions and ideas while encouraging ChatGPT to improve its output.

Effective prompting is essential to getting the most out of your AI language model. By following the tips and techniques we’ve shared in this article, you can improve your results and make the most of your AI assistant.

<p>The post Mastering AI Interaction: 5 Proven Prompting Methods for Better Results first appeared on Prompt Muse.</p>

From ChatGPT to CatGPT

If you’re familiar with ChatGPT (if you are reading this, then chances are you are), you’ll be pleased to know that CatGPT works in much the same way, or doesn’t). However, instead of providing you with accurate answers and helpful information, CatGPT provides its responses in the form of meows. That’s right, if you ask CatGPT a question, you’ll receive a response that’s 100% cat.

“How Does It Work?”

At its core, CatGPT works just like ChatGPT. It uses advanced AI algorithms to understand your questions and provide you with an answer. However, unlike ChatGPT, which is designed to be as helpful and informative as possible, CatGPT is all about having fun. When you ask it a question, it’ll respond with a string of meows, and that’s about it.

When Cats Ruled the Internet

For those of us who remember the early days of the Internet, the idea of a cat-themed AI system might seem familiar. After all, the Internet of the mid-1990s was a far cry from what it is today. Back then, it was a place where you could waste hours of your day looking for cat gifs and playing online games. And that’s exactly what CatGPT brings back – the fun and frivolity of the early Internet.

Of course, as with any AI system, it’s impossible to know for sure what CatGPT is really thinking. When I asked it the most pressing and important question since July 2000 – “Who let the Dogs out??” – I wasn’t sure if it knew the answer or not. After all, I don’t speak cat. But that’s all part of the fun of CatGPT. It’s a mystery, and we may never know the truth.

The Purrfect Tool for a Bored Audience

If you’re tired of using tools like ChatGPT that seem to know everything and are always providing you with the same, predictable answers, or simply need a break from watching endless runs of “Nothing, Forever”, then CatGPT is the perfect tool for you. It’s a fun and quirky alternative that’ll take you back to a time when the Internet was still new and exciting. So, why not give it a try today and experience the thrill of the early Internet for yourself?

CatGPT is the purrfect clone of OpenAI’s ChatGPT. It brings back the fun and excitement of the early Internet and is the perfect tool for those who are looking for a break from the monotony of everyday AI systems. Whether you’re a fan of cats, the early Internet, or just want something new and different, CatGPT is definitely worth checking out. So, what are you waiting for? Give it a try today and enjoy the purrfect blend of the past and present!

<p>The post CatGPT: The Purrfect Clone of OpenAI’s ChatGPT first appeared on Prompt Muse.</p>

Customer Service Agents

According to a LinkedIn article, customer service agents are one of the top 10 jobs at risk of being replaced by ChatGPT and AI tools. With ChatGPT’s ability to respond to customer inquiries and provide instant solutions, customer service jobs may become a thing of the past. The rise of chatbots and AI tools in customer service has already begun to change the way companies interact with their customers.

Accountants

Accounting is another profession at risk of being replaced by ChatGPT and AI tools. AI-powered software can now perform basic accounting tasks such as bookkeeping and generating financial reports, leaving the accountant’s role in question. The increased accuracy and speed offered by AI tools will make it more attractive for companies to adopt them instead of human accountants.

Graphic Designers

Graphic designers may also face a threat from ChatGPT and AI tools. AI-powered design software is already being used to create logos, graphics, and even websites, which were once the exclusive domain of human graphic designers. With AI tools improving, the demand for human graphic designers may decrease in the future.

Traders

Trading jobs may also be impacted by the rise of ChatGPT and AI tools. AI-powered trading software can now make investment decisions based on data analysis, leaving traders at risk of being replaced by machines. The speed and accuracy of AI tools may give them an edge over human traders, leading to a decrease in demand for human traders.

Teachers

Teaching jobs are also at risk of being replaced by ChatGPT and AI tools. AI-powered tutors and online education platforms can now provide students with personalized learning experiences, potentially reducing the need for human teachers. While AI tools may never be able to replace human teachers completely, their ability to enhance the learning experience may lead to a decrease in demand for human teachers.

Market Research Analysts

Market research analysts may also be impacted by the rise of ChatGPT and AI tools. AI-powered market research software can now collect and analyze data, leaving market research analysts at risk of being replaced. The speed and accuracy of AI tools may give them an edge over human analysts, leading to a decrease in demand for human market research analysts.

Lawyers

The legal profession may also be impacted by the rise of ChatGPT and AI tools. AI-powered legal software can now perform tasks such as contract review and legal research, leaving lawyers at risk of being replaced. The speed and accuracy of AI tools may give them an edge over human lawyers, leading to a decrease in demand for human lawyers.

In conclusion, the rise of AI-powered tools like ChatGPT is disrupting a wide range of jobs and industries. From customer service agents to lawyers and teachers, the increased speed and accuracy of AI is making it more attractive for companies to adopt them instead of human workers. While this shift will bring many benefits, it also raises important questions about the future of work and the role of humans in a rapidly changing technological landscape.

As the famous science fiction writer Isaac Asimov once said, “The true danger is not that machines will begin to think like people, but that people will begin to think like machines.” This quote underscores the importance of embracing the changes brought about by AI while retaining our human values and perspectives. Only then can we ensure that the rise of AI serves to enhance and augment human life, rather than replacing it.

<p>The post The Shocking 7 Jobs Facing Imminent Replacement by AI: Are You at Risk? first appeared on Prompt Muse.</p>

FAQ:
Q. What is GPT-3?
A. GPT-3 (Generative Pre-trained Transformer 3) is an AI writing tool that can generate news articles, opinion pieces, and marketing campaigns.

Q. How do I get started with Chat GPT?
A. First, set up the GPT-3 extension for Chrome and grant the necessary permissions. Then, head to the web chat area and type in a keyword or title related to what you want to find news about.

Q. What are the benefits of using Chat GPT?
A. Chat GPT is convenient, free, and easy to use, providing quality content in just a few clicks. Additionally, since GPT-3 has been trained up until 2021, users always have access to the latest news and opinion pieces.

Q. Can I customize the type of article I generate with Chat GPT?
A. Yes, you can customize the number of results generated and the style of writing, such as an opinion piece or a news story. Additionally, you can set parameters such as the length of the article, the language, and the level of readability.

Q. How can businesses utilize GPT-3?
A. Businesses can use GPT-3 to quickly generate blog posts, marketing designs, and campaigns. Additionally, GPT-3 can be used to track Twitter trends and generate Bingo cards.

TL/DR: Chat GPT is a revolutionary tool that helps people stay informed on the latest news and trends. It offers customisable options and is free and easy to use. With its connection to the internet, users can access up-to-date information and opinion pieces in just a few clicks. Whether you’re looking to get the latest news or write your own opinion piece, Chat GPT is the perfect solution.

<p>The post How To Connect ChatGPT to the Internet first appeared on Prompt Muse.</p>

Maximizing the potential of ChatGPT requires the crafting of clear and specific prompts. To aid in this endeavour, we’ve compiled a list of tips to keep in mind when writing prompts for this cutting-edge AI language model:

1. Task Specificity: Be clear on the task or question you want ChatGPT to tackle. Instead of asking a vague question like “Write a story about a dragon,” opt for a more specific request, such as “Write a story about a friendly dragon who assists a group of lost travelers.”
2. Contextualization: Providing context for the task is key. This includes details on the setting, characters, or background information related to the story or activity. For instance, if you’d like ChatGPT to pen a news article, provide information on the subject matter, such as “Write a news article about the construction of a new school in the city, including details on funding and community support.”
3. Guided Language: Use specific words and phrases to steer the output in the desired direction. For example, to generate a humorous story, include words such as “funny” or “laugh” in the prompt.
4. Clarity: Simple language is best. ChatGPT is an incredibly powerful tool, but it can’t read your mind, so ensure your language is easy to understand and avoid using technical terms or complex vocabulary.
5. Age Consideration: Keep in mind the age and skill level of your target audience. ChatGPT’s output may not be suitable for young children or students with limited reading and writing abilities, so review the output and make any necessary changes.

   In conclusion, writing effective prompts for ChatGPT requires careful consideration and attention to detail. By following these guidelines, you can unlock the full potential of this state-of-the-art AI language model.

<p>The post Tips for Writing Perfect Prompts #1 first appeared on Prompt Muse.</p>

Discovering Passion and Earning Mastery – Amelia Player

Everyone dreams of finding something that they truly love and are passionate about, and then mastering it until nothing else in life matters besides their thing. For Daniel Tedesco and Michael Du from Craft Podcast, this dream is realised through their interviews with people who have done just that.

In their latest episode, they have decided to speak to Amelia Player, an artist, AI researcher, and tech enthusiast, who has a wealth of knowledge in the field of motion graphics, graphic designs, 2D and 3D modelling, and the gaming industry. Amelia’s passion lies in empowering individuals and organisations to use AI through hands-on learning and expert training – a mission she founded with her brother Alex – Prompt Muse.

Daniel and Michael start off the conversation by asking how Amelia began her journey towards mastery in the tech industry, and she tells them that she began without any privileges in terms of education and GCSEs, but with a burning determination to find something she loved and be great at it. At first, Amelia began studying beauty therapy, but found that she had access to computers and libraries again. Here, she came across books on 3D and graphic design, and this was where her passions truly ignited.

A Passion for Gaming

Amelia’s passion for tech and gaming began when she was growing up, playing games excessively during her youth. When college finished and she started her job in marketing, she quickly transitioned into a graphic designer. She admits that she “just winged it” with this position, but soon realised that free software such as Photoshop and 3D Studio Max came easy to access. Soon after, she managed to get her hands on some internships in the gaming industry, and she was able to use the skills she had learnt to meet the demands of the company. The young creator then began working as a contractor, creating motion graphics and titles for clients. She was also well-acquainted with many technologies like Final Cut Pro and Maya, so she was able to offer a range of work to customers. Despite the difficulty of freelancing, Amelia says that her projects gave her the opportunity to do something she really loved and experience the joy of creating something entirely from scratch.

AI Education

It was at this point that Amelia encountered machine learning, and it changed her life. As her interest in the subject grew, she decided to take the plunge and start her own business with her brother – Prompt Muse. Their mission was to bridge the gap between theoretical knowledge of AI and its practical applications through step-by-step tutorials, best practices, and expert advice. Amelia’s thriving business has given her the chance to share her passion with others, and empower them to use AI for their benefit. At the same time, she has gained the opportunity to prove to herself and others that not having a higher education does not mean one cannot achieve success, as long as they have the passion and dedication to master something. Amelia is living proof that anyone can reach their goals and their desired level of mastery, regardless of their background.

Launching Prompt Muse

In 2022, Amelia and her brother launched Prompt Muse, which aimed to bridge the gap between theoretical AI knowledge and its practical applications. Although it was a daunting task, the pair felt passionate about their mission and had faith that it would bring success. The two began working hard on the project, and within a few years, they had produced numerous tutorials, best practices, and expert advice to help businesses and individuals understand AI and how to best use it for their benefit.

Advice for Other Entrepreneurs

Now that Amelia has tasted success with her business, she has advice for other entrepreneurs who may feel discouraged or unsure of what to do. She believes that no two people have the same paths in life, so although there are lessons to be learnt from studying how others achieve success, it is essential to remember that everyone’s journey will be different. Amelia also believes that being able to set your own rules and decide what kind of work you want to do is essential. Having the autonomy to choose your own hours and projects allows for more creativity, which is the foundation of any successful business.

Prioritising Wellbeing

Amelia is also a firm believer in prioritising well-being, as she believes that taking care of one’s physical and mental health is just as important as succeeding in one’s business. Too often, entrepreneurs become too preoccupied with making sure their business is successful that they forget to take care of themselves, but this can have serious consequences. As a result, Amelia advocates for setting boundaries and making sure that you take time out to relax and enjoy yourself. This could involve taking regular vacations or simply having days off to do something you truly enjoy, such as reading a book or going for a walk.

Following Your Passion

For Amelia, she believes that the best way to achieve success is to follow your passions and pursue them with dedication and enthusiasm. Doing something that you truly love and care about not only increases your chances of becoming successful, but also increases your overall satisfaction and happiness in life. When asked about her own success and how she got there, Amelia credits her tenacity and determination to succeed. She believes that, with enough hard work and dedication, anyone can achieve their dreams and be successful in whatever field they wish.

Achieving Mastery Through Dedication

Ultimately, Amelia Player’s story highlights the power of passion and dedication. Despite her lack of higher education and privileges, Amelia was able to find something she was passionate about and master it through hard work. This shows us that anyone can achieve success, regardless of their background, as long as they have the desire, dedication, and willingness to learn. Conclusion: Amelia Player’s journey is inspirational and demonstrates the power of passion and dedication. It proves that regardless of an individual’s background, they have the capability to master something with enough dedication and hard work. Her story serves as an example to us all that anyone can achieve their goals, as long as they are willing to strive for greatness and make their dreams a reality.

FAQ:

Q: What is the article about?

A: The article is about Amelia Player, an artist, AI researcher, and tech enthusiast who has mastered her field of motion graphics, graphic design, 2D and 3D modelling, and the gaming industry.

Q: How did Amelia begin her journey towards mastery?

A: Amelia began without any privileges in terms of education and GCSEs, but with a burning determination to find something she loved and be great at it. At first, she studied beauty therapy, but later found books on 3D and graphic design which ignited her passions.

Q: What inspired Amelia’s journey into the tech and gaming industry?

A: Amelia’s passion for tech and gaming began when she was growing up, playing games excessively during her youth. When college finished, she transitioned into a graphic designer and soon began working as a contractor creating motion graphics and titles for clients.

Q: What is Prompt Muse

A: Prompt Muse is a business founded by Amelia and her brother which aims to bridge the gap between theoretical knowledge of AI and its practical applications through step-by-step tutorials, best practices, and expert advice.

Q: What advice does Amelia have for other entrepreneurs?

A: Amelia believes that no two people have the same paths in life, so although there are lessons to be learnt from studying how others achieve success, it is essential to remember that everyone’s journey will be different. She also advocates for setting boundaries and making sure that you take time out to relax and enjoy yourself. Lastly, she believes that the best way to achieve success is to follow your passions and pursue them with dedication and enthusiasm.

TL;DR:

Amelia Player’s story shows that hard work and dedication can lead to success, no matter the background. Her journey serves as an example of how, with enough passion and commitment, anyone can achieve their goals.

Transcript

Daniel Tedesco
All right, well, hi everybody. Welcome to the Craft Podcast, where Michael and I interview experts of various fields to learn about their discipline and how they strive towards mastery. We love talking to people who are passionate enough to master something, and we’ve each been, ah, asking curious questions of these craftspeople our entire lives, but we want to share that with others. The interviews we hold are to the point, informative and fun. You will love all of them. So please subscribe to the channel and like the video. If you love our interviews, let’s get right into it. Michael, who’s with us today? Yeah.

Michael Du
Thanks, Dan. Today we are joined by Amelia Player, an artist, AI researcher, and a tech enthusiast with a background in motion graphics, graphic designs, two D and three D models, and also deep into the gaming industry. She co-founded Prompt Muse with her brother Alex. Prompt Muse is the teaching platform that bridges a gap between theoretical knowledge of AI and it’s practical through step by step tutorials, best practices for both beginners and experienced users in the AI industry. Sorry. And latest news and opinions on this industry as well. So, with the mission to democratize the AI education, amelia is passionate about empowering individuals and organizations to harness the potential of AI through hands on learning and expertial training. So Amelia is a master in her disciplines, and we are honored to have her on the show. Amelia. Welcome to the Craft podcast.

Amelia Player
Hello. Thank you for having me. And don’t tell me Chat GT wrote that.

Daniel Tedesco
No, that was all old school handwritten. Yeah.

Amelia Player
Well, Vicky, for an amazing introduction then, yeah, you nailed it.

Daniel Tedesco
But before API, you weren’t doing AI related things forever. You started out your career in gaming. We did some LinkedIn stalking and found all these gushing reviews about you from people you’ve worked with in the past and game companies when you were doing game art. And one of the things that stuck out to me is that you didn’t just stick with one area of game art, but you learned all the different sub disciplines from concepting and many others that maybe you can introduce us to and then tell us how kind of your journey to mastering that field.

Amelia Player
Yeah, cool. Yeah. Well, I hope my journey was by others who may not come from a normal background and might not have the privilege of going to university in higher education. Because none of that I had and everything I’ve learned and every job I’ve ever been able to get was through passion and showing that passion and also backing it up with focus and determination and spending a lot of time researching what I was learning and listening to people who know more than me and knowing when to be quiet and knowing when to speak. It’s a fine balance as well. So my CB is just absolutely everywhere. I actually started my journey not knowing what I wanted to do at school. I was off at school, my GCs, these probably spell a swear word, it was in the UK and it was bad. And I came out of school education feeling so dejected and my grammar and spelling is as bad as it is when I was at school. It hasn’t improved one bit, but I knew I had to get a skill to survive in this world and I knew that from a young age.

Amelia Player
And I actually went and to college and did beauty therapy, but in fact I didn’t have enough GCSE to be allowed to do beauty therapy. So I ended up doing hair for a year to get myself into a beauty therapy course. I don’t understand the logic of that and that was my first insight into education. That processes just didn’t seem to make any sense to me. But I knew I had to get skills, so I did beauty therapy. But when I was doing that beauty therapy course, I discovered I had free access to a library and computers and I came from I’ll talk about it in a bit later. I grew up with computer games. I was the ultimate person who played a lot of computer games. So as it was the attractive computers and the internet and the library are quite old as well, nearly 40 and well, not that old, but in the grand scheme of things, middle age, I would say. And you know, there was a lot of books as well, about three D and graphic design. And so when I was doing the Speedy Therapy course, I sort of fell in love with graphic design and finished the course and I didn’t do anything beauty therapy related to do marketing for a company.

Amelia Player
And I kind of just winged it into the business by just saying, yeah, I can do that clip, I can. And I ended up always being graphic designer within the company because I just say, let me do it for you. And back then as well, it was easier to get free software like Photoshop 3D Studio Max. You could have access to it or view where to look. I don’t promote that whatsoever, but it’s very different nowadays where you have to have serial keys and it wasn’t easier to hijack those as it used to be back in the days. So I had access to absolutely every graphical application in this marketing job and I learned everything and I realized I could learn software very quickly and I didn’t learn very well in the classroom, but I did learn by teaching myself and working out problems. So if I needed to find a solutionist and somebody said, could you make this video for us to do? I would do it and I would use 3D Studio Max, I would use Photoshop, I use Paid Shop Pro, which was an old program back in the day. And I would learn this software basically being paid for my education in pred.

Amelia Player
The company loved it because they loved what I did for them. But also I felt this was such a better way of learning because it’s actual practical use of software. I signed myself up at the time, I used all my money to do an ICT course, I think it was at £2000. It was a lot of money back then for my job. And I went into this course and it was full of people who just didn’t want to learn. And the teacher said, we need to use access to build this database. In order to do this, you have to use this software and learn this. And I was like, well, wouldn’t it be better if you use this? No, that’s not part of the syllabus. And again, that’s another case of I just don’t belong in that formal setting. So I actually wasted all my money and I think about two weeks into doing that course that I dropped out of my hands, not great, but I realized I could learn more actually working and putting a practical use to the software. And then after that job, I could have stayed and moved to London, but I met my husband now who worked there as well and he lived in the middle of the Lands, the Midlands in the UK.

Amelia Player
And so I had to move up here and I thought, well, it’s a good opportunity to try and get a job with what I’ve learned, with no experience at all. I applied for a 3D architectural company and just was honest with him. I said, Look, I love doing three D and I can learn it very quickly and I have, and this is my four year, this is what I’ve got. Gives me a chance, an opportunity, and hopefully you’ll get rewarded and you can pay me less than everybody else, doesn’t matter, just give me a chance. And I was very lucky. And to any viewers as well, knock on doors, always knock on people’s doors because even if they say no, go to the next door and be honest about what you know and be open to so many, you will get so many opportunities that way. And unfortunately, I lost my job due to the recession within the housing market because it was based on housing. But I had enough time in that business to learn 3D really well. Photorealistic three D and from the guys around me in that team as well. Everyone taught a little bit here and a little bit there.

Amelia Player
Then I started up my first of many businesses after that because I knew I wanted to carry on with 3D, but the job market was just completely dead at the moment at that time. And I started doing 3D visualization for businesses and just carried on just freelancing until I found this job for a game artist in the city that was near me. And again I applied for it. I was very honest, I said, I don’t know anything about the game industry, I have no background experience, but I am so willing to learn. And I stayed there for six years and became a lead artist. And everyone used to say, well, what university, where did you go? What did you learn? And I say, I didn’t, I learnt it here, I learnt it from the people around me, I learnt it from Google, YouTube, I learned it. I didn’t learn anything in an educational environment, it just wasn’t suitable for me and how my mind proceeds as information. I think there’s a lot of people like that in the world that feel lost because they haven’t found their thing or might have thought they found their thing and then realized it wasn’t.

Amelia Player
And I think taking a word from Silicon Valley, I love, you know, when they say pivot, they have to pivot that on everything they’ve done up to that point, they have to change. And it’s knowing how often to do that and when to do it. Don’t do it too often, be consistent, but know when you’ve come to the dead end to something that’s not going to fulfill your mind and your spirit. And Free D has always run through from the beginning, finding it in the library and learning the software, it’s being there, always there. And so I loved my job at the games company, like being making 3d assets, working with developers, working with other artists. It was such a fantastic job. And I actually started another role as a lead artist in another game studio. And unfortunately, my dad passed away quite suddenly and he ran an online software business. And his last words were pretty much, can you look after this? So I was just like, Why? Why did you finish that? Now? Again, the directives of that business were so kind to me. They let me bring my laptop in and run his software business as well as do my job.

Amelia Player
But it got to the point where it’s just too much. I had to make a decision and they were just so good to me and I’ve got to take this on because I feel so because he’s asked me to do that, I have to. And one thing I realized, it wasn’t my passion and it was his passion. And I automated that business, his software business, as much as I could and also tried to earn money out of it, which I did and still out, which is great. And it has been essentially what I’ve created now with my brother. So it’s funded it, essentially and bumps my living. It’s not much, but it keeps it all going. So I still run the software business and I did help my dad when he was building it, build that business, though I knew it inside out, but I took it over, automated it. It could have been far better than it was if I was passionate about it, but I realized that I really wasn’t so essentially using it as a bit of like a cash cow, but keeping it the customers happy as well. So the last five years has been juggling that.

Amelia Player
And then I had room to start another business and that created mom, started creating stock images and selling them. I again wanted another automated business, and I realized I could just draw and license the artwork and then draw again and license that artwork. And so that built pretty quickly and did really.

Daniel Tedesco
Well. If we could linger on gaming a little bit longer. First of all, there’s no way, I guess, a LinkedIn profile could do much justice to the story you just told because it’s just amazing and it just shows so much tenacity that well, LinkedIn is made for showing off what brands you associate yourself with. Not passion, showing real passion, and tenacity for discipline. So I’m really glad you shared that story, and I hope you write memoirs someday because I’m sure there’s a million stories within that.

Amelia Player
I actually left home at 15. I was sleeping on my friends so far when I did the beach therapy course and ICT, I actually didn’t have a home at that time. My parents had divorced, and you go through those teenage years, and my brother did it too. There’s a lot more in depth there. There’s a lot of going on, and that’s why I want to share that with anybody watching this, that I wasn’t given any opportunity and I had to work for everything. And Ed has been tough. It has not been easy at all, but I’ve always been okay, I just need to get enough money. I don’t need to be rich. I just need to get enough money to keep doing what I want to keep doing.

Daniel Tedesco
That’s really inspirational. And you mentioned your passion for games a bit, and I guess before we kind of go deeper into just kind of the pure AI art, how do you see AI art impacting games? Because that’s something that, if you ask me, things could start happening very quickly. But since you’re much closer to the game, like how game art pipelines actually work, you kind of know more about that world.

Amelia Player
Yeah. So every gaming studio is different, and it depends on looking at big gaming studios will have different types of artists with different types of jobs. So you’ve got a concept artist and they will be given information of what design that the customer or the client and other game studio is working with. So they’ll get an outline brief of what they’re looking for, and they will come up with concepts and designs to fit that brief. And those will then have to be translated. Let’s say we’re talking about a 3D pipeline here to a 3D modeling artist who will then have to take those concept drawings and create the 3D version of that. And that probably sounds quite simple to do. It it’s quite technical to take something that’s two dimensional and turn it into 3D. So the 2D artist usually uses something called a turnaround sheet to concept, which means, let’s say we’re talking about a person who’s a game character, you would have a 2D image of that person at every angle. So when the 3D artist comes to conceptualize or make a 3D model of that, they have a 360 degree view to put into their viewport to create the model or the mesh from.

Amelia Player
And then once the 3d artist has finished and they might be the one doing the materials as well, creating the clothes and the style and the feel of the character, that will be then moved onto an animator who will rake the character as well and get that ready and put the weights onto the character, which will then make a skeleton join onto the mesh. And they will have the job of then creating the animation sidewalk for if it’s going to be a video, or if it’s going to then move on to a developer to put it into unity or unreal as well to make sure everything is suitable for them. And then you’ve got if it’s going to be used for a scene, like a video scene, you’ve then got somebody who’s going to composite it all together. So it’s a huge production pipeline. So all these artists have to communicate with each other and do their job so well that they can then pass that on in a nice, neat package that works for the next person. And it can get quite a complex process, especially if you’re not doing a humanoid character, if you’re doing quite difficult.

Amelia Player
And now AI isn’t replacing these artists, but what it will do is make some of those processes a lot easier. So from the concept stage, your AI isn’t there where you could say you can’t design you something specific, you get what you’ll give them. So mid journey or stable diffusion will chuck you something out. You’re essentially just given something, whereas an artist will always be able to come up with a specific idea. So if the sales guy says, well, this is what the client wants, an artist can be more specific about that. AI can’t currently. But that’s not to say that won’t happen. And so that’s the concept artist. And then you’ve got the person making the mesh. Now, essentially, that will probably be done by API and obscene some background work and development of companies that are doing 2D images to 3D mesh. Now, the problem they’re having is getting it to apologize, which means getting the mesh clean and neat for the person to rig it and skin it and bone it. But again, if there’s something that is, the nuance isn’t there with AI. So if it was a particular character and needed to be custom built, API just can’t achieve what a human can.

Amelia Player
So that’s why I believe their jobs essentially are safe. But you’ll see two D, two, three D very soon. But it just wouldn’t work in a game studio because of the bespokenness of that character or the design they need. And I say yes, I don’t know what’s going to happen. But they’re the same with the skeleton. People have been trying to automate that pipeline for such a long time now with new plugins rigging characters as well, that’s getting more automated. But in the game studio, they potentially wouldn’t use Blender, they would use something like Mia as well. Again, it’s more in depth and more bespoke as well. I just don’t see these guys being replaced at all. I can see plugins coming in to help those processes with unwrapping and rigging, but you still need somebody who has that skill set to know, oh, why is it arm hanging on backwards? What do to change that? Why am I not getting the emotional animation that I want out of this theme? It won’t be. I’ll just click a button, somebody in the sales team clicks a button and it generates a 3D avatar that does absolutely everything they want to do.

Amelia Player
Because if that happens, then everything becomes vanilla, everything becomes the same. And it’s almost like I can read something online and know that’s being created by Chat GPT, there’s no soul to hide it. And when it does try and create a soul, it doesn’t work. So I think in the game industry you always need an artist there. And I know I’ve had a lot of backlash on my videos saying, oh great, well I’ve spent six years learning how to use 3D software. Now that’s down the road. It’s not down the road at all. You still will experience when the magic stops, you will need to know what to do.

Daniel Tedesco
Right?

Amelia Player
And it’s the things I can do now. I at the moment starting doing my next tutorial will be on how to use stable diffusion images and project that onto a 3D character. Now that’s good for someone to do in their bedroom and do for fun, but that’s not studio, that’s not for a game. That wouldn’t work in the fight. Someone says, well, we don’t like her face. Can you change that and go, well, I don’t know how to use Photoshop doesn’t allow me. You do need those skills still there. So that’s my personal feeling. I feel artists are safe at the moment.

Daniel Tedesco
It sounds like at each step of the way there’s still a lot of need for like human eyes, human common sense, human soul, and people can be helped and things can be sped up through applying these tools. But it’s not going to be like you said, a salesperson clicks a button and a game is made.

Amelia Player
People have that great bid. That’s going to happen and it’s not. It might be that there’ll be a tool developed for someone to do that for a TV channel and put themselves into a game and make it to a baby? Yes, possibly. But the pipeline just wouldn’t work there professionally, where you’ve got to have a good story and you’ve got to have people that reflect that story. And it all has to align and there’s so many multiple processes going on. And then when the creative director says, actually scrap that character, we need to change something on it where you can’t go backwards with AI. You can get forward. So what do you do at that point? You go, well, the button doesn’t go backwards, it’s now rigged and skinned. See, you need good people to be able to good knowledge of all people, to be able to interact with that character and create it. And it really is communication with a good team that makes good assets for games. It’s never one person who joins a team of people. And the same with the developers. The developers have to work and communicate with the artists from how they’re going to integrate it into their game and how efficiently they need the textures.

Amelia Player
And the mesh has to be very clean for them to use as well in code.

Michael Du
That’s really eye opening because I didn’t know something about the game studio. I know something, but not in this detail. Yeah, thanks for introducing that on my channel.

Amelia Player
I use blender. Some game studios, like I said, they’re all very different and it depends on their budgets, the size. Some have artists called who are called generalists that do everything. So it might be one or two people in a game studio and they literally are through the artists attitude. Artists and an animator that would be a lot smaller. You see that on Steam where lots of people who are enthusiastic come together and form an indie studio. And you find there are artists that wear many hats. So they not just read animator, they’re not just a concept artist. They have to do a bit of everything. So it does really depend on the studio, how much they can afford. And I think AI will help those smaller studios get better results. So the generalists would then use better and easier workplace to get games out quicker.

Daniel Tedesco
Right.

Amelia Player
I don’t think yet there is anything to be concerned about. But again, my personal opinion, and I know other people are pulled at art being created by AI, but I think how many digital images have you seen from AI now? Probably not in all by many of them, because there’s nothing behind it. There’s no concept, no story. It’s just generated by AI and machine learning to make it fit the golden ratio, to fit color profiles that work for the eye. And we talked earlier, before the street went on about, let’s say, mid journey. It’s all machine learning. So when you click and upscale an image, I’m not saying mid journey does that, but machine learning part of it is that information is all being gathered to what makes a good image. You’ve got 8 million people doing that. They have all that data to produce a better looking image, all that data set to create you what looks nice. And that’s why a lot of these images end up looking the same type of woman, because that’s what is pleasing to the human eye. And you don’t really get many disfigured people because people are just saying, I want that to look a good image, whether that’s morally right or not.

Amelia Player
That’s why within these things, the creativity isn’t there to produce something new, ground shattering. The API artists that I’ve seen do really well, just have a consistent theme. So there’s lots that follow on Instagram that they’ll consistently do something very well. But other than that, I haven’t seen anything that I’ve gone, wow, that’s really amazing.

Daniel Tedesco
Right?

Michael Du
Yeah. So what inspired you to start exploring those generated by stuff and also starting promise? And what’s the motivation behind it?

Amelia Player
Who isn’t here because he’s pamerishai, but he does exist? Everybody on the website, we talk about Chap GPT a lot as well, because that’s his thing. So I did business before this, creating stock images for illustrations, and I started going down the digital route. So I’d create these images to sell and license, and my brother ben me up and he said, you need to look at this. This is going to destroy your business. Getting somewhere. I was like, look at this. It was dark. Something like that. It was one of the first versions, and it wasn’t very good at all. It was like you could bake sushi with arms or something. And I was like, My mind is blown. I couldn’t. So I started looking at it and actually looked at it, went, I could generate a lot of images here, and if I can get them into a consistent set, then I could sell these. But unfortunately, because of the terms and conditions were so murky with API images, unfortunately I could never work out a way to commercialize it because I would never own those images to license them out and it could come back.

Amelia Player
All of that’s really interesting. And then Mid Journey came out, I just had my finger on the pulse and tried to integrate it somewhere, either in the software business or in the art business. And I did what I always do. I just learn everything I can at that time. And my brother was as well. We were like really giddy, ringing each other up, saying, this is look what I found. This is amazing. So I said to him, I’ve got this name. If we could put a website together, she could do it for me. I think we could put some information out there and sort of become a central hub for information. We didn’t think it would go anywhere. We just thought, well, we’ll just share our passion with people on Reddit and on Discord and then have the website just to have all the knowledge and see where it goes as well and have almost a history of where it started and we could see the articles and how everything grew. AI and it’s going to be absolutely big or machine learning as well. And so yeah, that’s how it kind of happened. He actually does SEO, he’s self employed.

Amelia Player
Asked him to build me with that. Just like need somebody to talk to about this. You were the only person I can talk to about this, about them going to last night. That’s why it happened. And the name prompt me as well. I actually just went and I was looking for something prompts something and I went through all the trademark night names and Muse was three and I was like, I don’t know about anything. Unfortunately, there’s no magical tale about neighbor or anything. So yeah, I had to just ensure that get the trademark could get the website and could get every single context of the sun and that was the one that had them free and it just worked out really well. I was quite lucky with that. And it’s just a side project that we wanted to share the information and so I just put a few YouTube videos out of me using Mid Journey, probably pretty badly and people liked it because it was nontechnical and they could see that I was learning as well and tried to keep it quite slow pace as well. I’ve watched so many YouTube videos I feel like sometimes YouTube is a bit like The Matrix if you want to learn something, watching them.

Amelia Player
And I’m used to watching like 2 hours YouTube videos back in the day of somebody creating something in 3d Studio Max and just going oh, I wish to see where their mouth is or you know, elements. So I try and incorporate all those things that I wish I saw in those tutorial videos into mine. So zoom very close into a window rather than seeing it from afar because I realized people were probably watching from their mobile as well. So there’s just little dances like that I try and help viewers with and not there yet, I don’t think. I’m sometimes it’s a tithe thing, time constraint, just to get a video out and also just to make sure that the videos are not just advertisement products. Because channel started doing well, I got a lot of company contacting me saying would you be able to do this for money? I was like, oh, that money would have been so nice. In line with what we wanted the channel to be. We wanted it to be honest. So if something stopped working and the computer stopped working, would show it. If we felt stable diffusion, 2.1 wasn’t very good, we’re not going to show it not that stable diffusion stopped, there weren’t approaches, but companies that have.

Amelia Player
These apps, so many apps that have AI and they were like, well, we’ll pay you money to show us on the channel. And it’s just turning down those offers and just going, no, we’ve got to stick to showing what’s new and how we can integrate that. So somebody could make a book for their kid or be able to learn stable diffusion without being put off by it. But I also understand that I have these issues as well. When they run out of Ram, I run out of Ram as well. Pie to Watch doesn’t install though, that happens to me as well sometimes. But it’s understanding breaking it down so it doesn’t go over people’s heads. That’s essentially what it is. Me and Microbaps, we love it and we love how quickly it’s evolving. It keeps our attention, definitely keeps our attention. How quickly it’s coming on the good sides of machine learning and AI and the bad sides of it as well. It’s exciting. And I’ve had a few death breaths as well along the way. Other people live, so they’re local. I’m like, oh my God, they are going to be. That’s what’s interesting.

Amelia Player
It’s like I’m just showing other user how to use the software. I am not open AI and not stable diffusion. I’m not these people. I’m just showing the product. I’m not endorsing them either.

Michael Du
Yeah, that’s very nice. So are there any specific sources you follow or practices like a cape to keep you stay cutting edge and also be in the front of the whole API development business so fast. It’s pace of change so fast. And how do you keep.

Daniel Tedesco
Stay ahead?

Amelia Player
Yeah, that’s a really good question because a lot of the development that is happening is open source. So it’s a lot of developers that are working independently, so it’s trying to find their work. And that’s by Twitter. Through reddit, through discord. I am a member of so many communities at Limo and I don’t actually watch TV. I just like just on these communities watching what’s going on and seeing anything new. And developers can sometimes be very humble about something they created. And I’m like, what the heck do you create that’s amazing? I need to show that I haven’t finished it yet because that’s going to change. Like some people, they can be able to create amazing things with what you’ve created. And so many of them are open to using essentially what they have created, their workflows. And so I just reach out and email and that’s how I find these guys as well. So it takes a lot of looking. And I’ve spent a week trying to get something to work in Blender and I worked on the YouTube channel, but I realized it was just to integrate it into a normal person’s PC.

Amelia Player
It took a whole day to install. It took about 20, 30GB of Ram and I just wrapped the whole thing in the end because I thought it’s not there yet. The guy, he’s got something good, but it’s just too slow for just a normal person with a normal computer who just wants to be able to create something quick. So there’s a lot of this background work and sometimes there can be a large gap between videos and it is that sometimes I find something and I’m like oh my God, that’s absolutely amazing. But then when I actually get it working and it’s not working as well as I thought it would, or it crashes too often as well, so there’s a lot of research that goes on as well. So the channel isn’t just oh look at this new API software sort of thing, isn’t this fantastic? I really get into the bones of how it works and if anybody can run it on their computer because I’ve got 4GB of VRAM, not a good PC, and it sounds like somebody said the other day that you hear it in the background of the video because it’s about to die.

Amelia Player
But I like to keep that because I like to think, well, this is probably what everybody else has got as well. A 2000 pound speed Joe and a lot of people. But I wanted to make videos that are suitable for the masses, not just the people who have got money to buy powerful computers or rent good computers. I do get a lot of comments when I run things on Google Colab and they’re like why didn’t you just run it on a better powerful PC? That’s the whole point is because you can’t access this through a PC like mind. So I try and make it to all really.

Michael Du
Cool.

Daniel Tedesco
So I feel like there’s I mean, that’s I love hearing like the nuts and bolts of how all the videos come together because I’ve just, you know, I’ve seen a bunch of the finished products but like, knowing a bit about what goes on behind the scenes, it’s kind of powerful to see how it all comes together. And it’s just the beginning, right? You guys started, I think you said like three months ago, something like that.

Amelia Player
Yeah, it’s just completely so many people interested in it and I think it’s just I think it’s because they can see that we’re just honestly just trying to show workflows that work. And my brother does a lot of workflows with Chat, Gptpt and Excel and Google Sheets as well that have really helped a lot of people. We do get a lot, lot of emails and sorry we haven’t replied your email, it goes very quick, we sit down and respond to all our emails. But there’s a lot of people that then send in donations which help massively because they said this has helped them at work, this has helped them to get a job, this has helped them be able to do something, write a book with their child, things like that. And that’s really inspiring. And that really helps us to continue to try and develop new techniques and understand. We read every single comment, the good, the bad, the ugly, because know what people want from this. So a lot of people want to tell a story. Everybody’s got a story to tell, whether it’s about their life or if it’s fiction, they all want to tell a story.

Amelia Player
And I think AI will allow them to create a book. And it’s not even for monetary purposes. A lot of the time people just want to be creative, not have to learn a free D program or a package. They want to just be able to create a consistent image and write text to it. But from there but you the creatively, not just write chap TPT, write me a story and then create images from that. They want to put their own spin on it as well. So we’re heading towards that very quickly, people. And we live in such I say it’s great to live in this kind of technology, but realistically, we do live in a horrible time. There’s a lot of poverty, there’s wars everywhere. And this just takes away you can focus your energy and your mind into creating something beautiful. And that’s a good thing.

Daniel Tedesco
Yeah, for sure. One of the things that definitely shows in the videos and the videos are like, well done, really understandable even from the very beginning of prompt views. But I’m sure this, as US Americans say, wasn’t your first rodeo. In our research, we came across the creative mum. So you had done tutorials before. How did you build up the skills of doing good tutorials? Because it’s not just something that it looks natural to a viewer, but I’m sure that learning process took a lot.

Amelia Player
Yeah, I think on the last video I did and I cast it out and I only mentioned it in the comments, that the video just looks like it’s done in one smooth within an hour. Hustle bake. And last video I did, I actually had a complete computer meltdown. It blue screened halfway through and I lost my whole car drive, but I got it back. But there was a lot that went on behind the scenes in the video that gets cut out, obviously. And there’s a lot of moments I go, do you know what? Everybody wants to see this. What are you doing? The Internet? Or worse than that, you’re just going to get your view. That ten refresh reviews on your video. And that’s another thing as well. It just feels like sometimes am I wasting my time and everybody else’s time by producing the video? There’s a lot of self talk got to get out of you got to get it out into making the video. So it’s not as streamlined as it is. And he found the 18 month video. Unfortunately, I had to lock down so much because of the death threat.

Amelia Player
I was told by the police, actually, because it got quite bad that I had to lock down all my other social media platforms. My face is up and out. But then I asked some crazy people on the internet and I was aware going into this that could be an issue. So if anybody viewed, tried to find some of that, they might not find much. I don’t know. That probably didn’t do a very good job at hiding anything, but I had to take everything down. But there might still be some videos out there. But I essentially was making videos on how to take the artwork that you could buy from my website and create it into mugs and bags. And that was my start with YouTube. And terrible, I probably still am terrible on YouTube, but you just fail your weight and success. So I’m not success at all, but just failing my way there slowly. I can’t remember the saying, so forgive me, I’m going to say it wrong, but perfection is the enemy of done. So you want it to be perfect, but it never will be. And if you try to aim section, you won’t get there.

Amelia Player
So sometimes you just have to suck it up and just go, well, this is the best I can do. Tomorrow I’ll do better. And I feel like three weeks trying to work on the next video because things that I’ve scrapped or work processes, I’ve gone it’s too complicated, actually. I’ve gone down a rabbit hole here. It’s not working. And I just have to either go with it and stick with it, or just like I have done, to scrap the whole thing and start again. And that’s three weeks of work, of work that no one sees. Nobody sees the late nights trying to install or get things working or I’ve got it working once and they come to record and it’s not working at all. And there’s so much research that my brother and I do, it takes over our life. We go to quite a lot of expos as well, machine learning experts as well, just to see what other people are doing. You learn from other people all the time. And again, with the developers that I talk to, the amount I’ve learned from these guys is unreal. The amount of knowledge that they have in that section is crazy.

Amelia Player
It’s inspiring as well, for sure.

Daniel Tedesco
Yeah, well, and if they can bring it full circle, it I mean, it it sounds like the type of stuff that like this the work that you’re doing is probably helping, you know, thousands or eventually, like millions of amelia’s, who, like, don’t like their school experience, but they can find content like this, and it will help them get skills so that they can create the kind of art that they’re passionate about. Is that something that’s in the back of your mind? Because we didn’t make that connection. But I feel like having spoken with you more now. That seems like a really heartfelt motivation to be creating this type of content.

Amelia Player
Yeah. So there’s no pay wall at all, there’s no patron. I don’t expect people to give me money whatsoever. I just have to buy me a coffee fund. But I don’t want people to spend money they don’t have. I want people to learn. There was times in my life where I just didn’t have the finances to learn or the opportunity, but I used the resources that I had just to try and get to where I wanted to be at the time. And YouTube was a big part, being able to access YouTube and learn how to use a 3D software and package from people who know. I just was amazed. And this was before patriot came around. This is before people started putting the whole world to see the rest of the video. You need to sign up to this. And people need to make a living. And I understand that’s why they do that. You can’t just continuously do something for free. No one’s subsidizing you. But I do feel like the reward will come somewhere. Yeah. If you do something good and have the right intentions, something will come. My whole life would be back, something better.

Amelia Player
It will happen if I generally consistent with it and continue. And it feels right. Everything feels right about this. And I didn’t mention that when I was doing creative mum. A big pivotal moment actually happened when I got COVID and I got very sick. Very sick. And in fact, I was in Resuffin and he died. Was really bad. They bought me back and I just felt like I had another opportunity to do something. My immune system completely failed. I was not slimmer than I was now because I was on special drinks, because I became allergic to everything. And it’s something a lot of people are dealing with now and it’s not in the media for multiple reasons. And I couldn’t work during that period. I couldn’t do anything. I lay there and just watch Netflix in bed because I was so ill. I was having loaded reactions to everything. Every food, caffeine. I’m the caffeine junkie now. I’m back, I’m a lot better. I was going to allergy specialists and they were like, it’s your white blood cells who’ve been affected by COVID. There’s nothing we can do. You just have to take all these tablets to get through your days, which it was antihistamine tablets.

Amelia Player
So they knock you out. They absolutely. So I went from being like this to being bed bound for a long time. And I can’t continue creative mum and do all this artwork and stuff as I was doing before, because I was so poorly. And that’s why my brother was like, have you seen API? Could you integrate that, maybe? I was like, yes, that would be a great way to create artwork, but that’s how it all came about. So I had this major blip and that was last June. That wasn’t long ago. It was funny. Life is like that because I’m healthy, I’m youngish, and I never thought cope it would affect me. Never in a million years. I was like, yeah, that’s what older people get, or if you’re ill. And then when I got it, I got it bad. Yeah, I was very sick for a long time, but I’m healed now, I’m totally recovered. My immune system was completely back. But it’s made me think, God, life just can be taken just like that. Or not even life, your health can be taken away straight away. So that’s why I am just so determined to push this and get the information out there.

Amelia Player
While I’m shivering, I’ll get something recorded and about and there’s a lot of pressure with that. But I think if I hadn’t got very ill with COVID I would not be doing this, I’d still be flooding along with the creative mom. But, yeah, getting sick like that really made me, like, well, what would make me happy? And sharing knowledge and experience, I really enjoy it. Well, what knowledge and experience I do have, I really like. And I like learning as well. So just all of it summed up. But, yeah, there’s a lot there to take off. A lot has happened. Ride, for sure, really has. But I think that reflects back to, again, back to you, is that it’s not easy street, it’s not at all. You just got to keep going. If you’re going through hell, keep going. I just feel like AI and all this movement has really helped me get better as well, because we come to Bakers Off, right?

Daniel Tedesco
Wow, what a powerful story. Thank you so much for sharing that with us.

Amelia Player
Yeah, quite a bit. Because it really did feel like it was the end.

Daniel Tedesco
Wow. Well, I mean, despite that struggle, it sounds like you’re making the most of it.

Amelia Player
Yeah.

Daniel Tedesco
Like, kind of the best kind of outcome you could hope for. Not only recovering, but kind of having this new dimension of purpose in life.

Amelia Player
Yeah, massively. And I do feel like that really a lot of people say that happened. I was awake and I saw the tunnel vision come in, saw it go black, and they had to put adrenaline into me to get me back. And it’s so vivid, but when you see that tunnel and it didn’t go black, it makes you rethink your life and what you’re doing. And I thought, well, actually, now I feel like I’ve got something to do and I have a mission to help others create workflows. And it’s not crazy with AI and that’s why I feel so committed to it, because I feel like, yeah, this is the cause here, and I don’t want to put any paywalls up. I don’t do any of this for money ever. So if I show you something or promote something, because I think it’s good and it works.

Daniel Tedesco
It’s amazing. And it’s just the beginning. It’s only been a couple of months so far.

Amelia Player
I know it’s pretty crazy, and in those months it feels like a lifetime. And me and my brother, we have no sort of forecast of where we’re going because everything is just headed in so many directions. I don’t think you can forecast where you’re going. But we are consulting businesses now, which is insane. Like I said before, we’re linking up developers who have created programs that could help studios and artists alike as well within their work, both and cut out pain points and speed up creativity rather than get stuck with the laborious work. So none of it is cutting jobs. All of it is just essentially streamlining pipeline and encouraging creativity and not stopping it. Nobody’s typing anything into creative, really character. Not yet anyway. It’s the boring processes that nobody wants to do. He’s trying to eliminate those which is more cost effective to do.

Daniel Tedesco
Yeah, and I guess as a last thing. So how should folks follow your journey and learn more about what you’re up to, what Prompt Muse is up to?

Amelia Player
Well, I’m absolutely everywhere at Prompt Muse, if you have to come on YouTube, I’ve got to Twitter, which is Prompt Muse even got a TikTok. But I feel like I shouldn’t be on there. I don’t belong there whatsoever. I’m on reddit as well. You’ll see me posting a lot in the stable diffusion and AI models section and things. Yeah. So if anybody needs to contact me, I’m sorry, but I’m really bad at the moment because sometimes I turn the emails off and get on with work.

Daniel Tedesco
Got videos to get out?

Amelia Player
Yeah, I got videos to get out. But I do love reading the messages people send me and that keeps me going and totally inspired by their stories and why they’re using AI. I was quite insolent before all this. I’m not very social asshole. I tend to like going around people, but I find online it’s different. When somebody writes you an email, they write it through their heart, if that makes sense. And you don’t have to look at somebody, or they don’t have to pretend to be something else. Whereas if in a virtual environment, you are more open to who you really are, if that makes any sense, and freely avatars all play into that. I don’t like using the word metaphors, but I’m going to use it when the metabolism comes. I think people like me will socialize on that. It’s not for everyone, and I know a lot of people do dislike it and feel like it’s actually not good for mankind. But there are people out there that actually is good to talk to online. So I’m looking at that and all this is flowing nicely into the metabolism. So avatar creation that I’m looking more into creating your own avatar in the Metaburrs and creating clothes for it and stuff, that would be very cool.

Amelia Player
And that’s where I think potentially all this is going. We’ve never created a successful metabolism yet that is enjoyable, but I think it will come one day. And all these free D characters and all these creations, there will be a part to play in that environment at that time. So it’s not just doing something for doing something. I think it will lead there. And I don’t know if your viewers understand or know of Nvidia omni verse. If they have a look at that, that NVR really pushing the omni verse. That’s a pipeline of how to get characters to lip sync with your voice and get that all into the metaphor. I hate some metabolism. I hate them. It’s like using the word AI all the time when it’s not, but pushing that into a virtual environment as well. But like I say, it’s not for everybody. And some people just go I’ll just go out like that. So I grew up with the old ICQ and MSN chat by way of socializing. Probably a bad thing, actually.

Daniel Tedesco
Well, okay, so YouTube, Reddit, all these other places, and someday soon Metaverse will find your Metaverse avatar. Maybe you’ll be doing tutorials in one of the whichever Metaverse actually becomes a mainstream thing. Maybe we have our round two interview in the Metaverse when that comes.

Amelia Player
I think like NFP and crypto, it’s all early. It’s all going to tie in. Everything’s going to make sense one day. And we look at these things and say, oh, it’s a bit scammy, or it doesn’t make sense. Why do I want to buy an NFP when I could screenshot it at the moment? Maybe it doesn’t make sense, but I think everything will line at some point. All work out to be something good. Hopefully. Maybe not now, but hopefully I’m forever an optimist. But yeah, there will be negatives, of course, as long as we keep learning how to stop it, if we need to stop it or unplug it. I spoke to you before about there are anti API artists or anti AI people, and I get that and I understand it’s quite a scary thing to see, especially if you feel frightened by it. But I think burying our heads in the sand and ignoring it and not talking about it is worse. I think that’s the most dangerous part. I think learning it how it works and putting laws in place to stop people developing something that they shouldn’t is essential. And we’re now seeing in the art community, lawsuits happen.

Amelia Player
Rightly or wrongly, these lawsuits need to set a precedent for laws that are going to come in the future to control it. Although I understand people’s concerns about AI, I think ignoring it and just banning it is not going to help. I think laws will help control, hopefully. But we spoke for this thing about going to one person to be a bad apple and a lot to make something that shouldn’t be there or could potentially be dangerous. But you could say that about everything. It’s here, and we’ve got to deal with it, and it’s going to evolve quicker than we think it’s going to evolve.

Daniel Tedesco
Yes. And yes, technology is always a doubleedged sword. I guess what we can do is try and understand it, help each other better understand it and how to use it and hopefully the right ways. So our guest today has been Amelia Player. Amelia, thanks for being part of the craft and for all of you listening, watching thanks so much for listening and watching to this craft. To the craft. For more information about this episode and other episodes, you can search the Craft podcast by Michael Dew and Daniel Tedesco on YouTube or anywhere you get your podcast. See you next time. I’m.

<p>The post Discover What Gave Amelia Player the Edge to Co-Found Prompt Muse! first appeared on Prompt Muse.</p>

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Transcript:

Hey, GPT-3ers!

Are you ready for the ultimate content creators dream? Or maybe nightmare, depending on how you look at it. Either way, we’ve got twelve magical words that are guaranteed to get you excited. Rewrite content in bulk that is better than the original and undetectable. Yes, you heard that right. With the power of GPT-3 and Google Sheets, you can now rewrite content content from multiple URL I’m too excited. From multiple URLs in bulk, making it better than the original and completely undetected. So are you ready to join the ranks of the ultimate content creators? Let’s go. Welcome back. So the first step is you’re going to need an open AI account to do this. Head over to openair.com. The link is in the description below and then click API. Sign up and here you’ll be prompted to add your email address and do a recapture. For the sake of the demo, I’m going to continue with Google as I already have an account. You will then be asked for a phone number verification. This is basically just to make sure that you’re not someone trying to spam many accounts to get free credits. So pop in your number and send code and blend the verification.

Once in, click on Personal and click Manage account. Over here we want to head to billing and we want to add our favourite payment methods. If you want to see how much it is exactly before you start spending, head over to the options. Click Pricing and then it tells you how much it costs per image generation or per word generation. Okay, we’re nearly ready to go, so let’s click Personal View API keys and this is where you can create and select an API key. This key I will delete. Obviously you don’t want to share your P because basically that key will allow people to charge your account, so keep it a secret. Now, with that out of the way, I would like to say a special thank you to Michael Hayden of Autosheets AI link in the description who allowed me to use his workflow. And pretty much this wouldn’t be possible without him. So big. Thanks, Mike. Hey all, this is Alex from the future, about a week and a half in the future. So the voice is going to sound different. I’m in a different room, I’m at different time. Things have changed, the code has changed, the workflow has changed, I’ve changed, the aim of this has changed, everything’s changed.

So if there’s a little bit difference within the continuation of this video, how it was initially, I’m sorry, but it’s changed for the best. So what do I have to show you? We have the bulk GPT-3 content creation, which scrapes and reiterates content. What do I mean by that? Well, first I’ll show you how it works, then I’ll show you how it works. Head over to the Discover tab and type in the search term you want to be ranking for so best dog food, that will do fine. Then we go to extensions and run all requests. So this is using an application called Affinity IO. I’ll give you the instructions on that in a second. And it’s scraping Google with my API that I’ve created. And the green tick means good, so close that down and now we can put in the data after running API. Here we have it. This is the top 100 articles for best dog food. So let’s have a look at some of these articles. Which ones would you want? You can select as many or as little as you want. So for the sake of this I’ll just do one.

Save my credits. I’ll do one. The best dog food, how to choose the right food for your pet and lovely. So give that tick and then move over to rewriter and that will be waiting for us already. Fantastic. Now we have the option to choose additional features. FAQ, TLDR, suggested hashtags Slack which is the URL and create an image for the sake of the demo. Let’s push the boat out and do all of them. Head over to the menu and then activate rewrite a little bit like star eight chevrons. These are now locking into place. It’s scraping the content of the article and removing all of HTML elements. It’s creating a list of the top keywords for that article that we should be hitting. It’s creating an article summary based on all this information. Then we will ask it to create a 1000 word article with hub headings in the same format of using the same facts and building upon them. The 1000 limitation is due to GP three so which forfeit push it into another one and we ask it to continue the article so we could open this and see it’s done. Lovely formatting.

I’ll fast forward this for the safety of sanity. Then we’ve got continue article. Now we do an FAQ of TLDR and then it will compose them all together for us to copy to wherever we wish. Sometimes it gets some random text at the top. Ignore that, that’s just it thinks the buttons I’ve created are instructions but there’s not as code. Then it will write a clickbaiting headline, give us an Seafocused URL message, a description and then to top things off piers to resistance we have a picture. Lovely little dog shimp and yeah, that’s it. Your article is ready to go. What was that? A minute? Two minutes and you can click as many articles and it will produce as many as you want. So what do you need to make this okay? First of all, let’s head over to setup. You’re going to need your GPG three API which we mentioned earlier in this video about two weeks ago. Put it there and then surphouse API which is free. You get 200 calls for every month which is ample really all of this. So far is just one call. And then stick your API in there.

The links are here below, and then Effini, which is the scraping I did on Discover.

Hey, it’s Alex from the future. Future here. If you don’t want to pay for a feeney, you don’t have to. You just don’t do the scraping part. So just delete that entire tab and just manually put in the URLs. It’s optional, but I just thought I’d add this in.

Cheers. This is usually, I think, $13 a month or $300 forever. But right now they have a promotion on AppSumo where it’s $99 forever. No monthly cost. That’s it. That’s the less the price. So grab that while you can. Additional here. We have credits at Auto Sheets who came up with a concept initially that I built on. Thank you to them and buy me a coffee buy me a coffee buy me a coffee shameless plugin yeah, buy me a coffee once you’re ready and you got your APIs in order, head over to Extensions, add Extensions, get Add ons, and then search for API, the Afini API connector. Click on that and click Install will then ask you for some Google permissions. Plus just click yay. Initially, when you first tried to run anything here, it will do a pop up. Say this is unsafe. Click advance. Click. Okay, I agree. So your soul and then click is fine. Then once you’ve done that, head back over to Ethnic Connector and click Import API. So what we need here is something that I forgot to do. We need this little snippet here. So I will put this here for you.

There we go. Let’s make that neater. Let’s say what it is. It’s not a bike. Off the button. Okay? So once you got that code, head back over to this Import API. Okay, this is important. Paste it in here. Click Save. Give it a name. Google Cert. Doesn’t matter what the name is, as long as you know what it is. Save. That. I’ve got two. You should have one. But this is for demo purposes. Click it. Google serve. That’s fine. We want to change this to Processing. Do not allow it to be set up. That is important. It will just obliterate this page, but change it to Processing. So it dominates stuff in this tab down here. Everything else is good. And click save. I’ll just delete that. You don’t delete yours. So you should just have one and that’s it. You’re pretty much ready to go. If you want to kind of customise the tone of voice, the way it’s written and stuff, you can look under the hood. Simply just highlight number one, hold down Shift. Highlight number three as well. Right click do resize rows fit to data. Okay, so this expands column number two.

And you can see all the initiatives that we’ve done with the text here. So things like, if you want to change the output type of the content. You can tweak this initial instruction. Additionally, you can tweak the continuation. Have a look. Cheque under the hood. Have a play of it, dabble with it a little bit. Play and see what you come up with. Yes. So like subscribe hope to see You Soon by Maria Profi take care, alex out. Bye.

<p>The post GPT3 Auto Scraper & Content Re-Writer + SEO first appeared on Prompt Muse.</p>

OpenAI is an artificial intelligence research and development company, founded by tech entrepreneurs Elon Musk, Sam Altman, and Greg Brockman. It has been at the forefront of AI development for the past few years and is known for its breakthroughs in the field. OpenAI is the creator of ChatGPT, a natural language processing (NLP) model designed to understand conversational language. The company is currently in talks to receive a $10 billion investment from Microsoft.

According to a report by news site Semafor, the investment will value OpenAI at $29 billion. The funding includes other venture firms and will provide Microsoft with 75% of OpenAI’s profits until it recoups its initial investment. This makes OpenAI one of the most valuable artificial intelligence (AI) companies in the world.

Microsoft’s investment in OpenAI will give the tech giant access to a wide range of AI technology, including ChatGPT. Microsoft will have the opportunity to use ChatGPT to develop new applications and services and integrate them with its existing products and services. Additionally, Microsoft will benefit from any profits generated by OpenAI through the funding terms, which include Microsoft receiving 75% of OpenAI’s profits until it recoups its initial investment. This could potentially provide Microsoft with a significant return on its investment if OpenAI’s projects are successful.

What are the Other Ventures Firms Involved?

Aside from Microsoft, other venture firms have also expressed interest in investing in OpenAI. According to the Wall Street Journal report, the firm is in talks with venture firms including Andreessen Horowitz, Index Ventures, and Khosla Ventures. It has not yet been revealed how much each firm is looking to invest.

What is ChatGPT?

ChatGPT is the innovative natural language processing (NLP) technology owned by OpenAI. It uses deep learning algorithms to generate human-like responses to questions asked in natural language. This technology has the potential to revolutionize natural language processing, and OpenAI has been using it to power its virtual assistant and chatbot products.

What is the Funding Terms?

According to the report from Semafor, the funding terms include Microsoft getting 75% of OpenAI’s profits until it recoups its initial investment once. This means that Microsoft will be able to recoup their original investment in OpenAI before any other investors can benefit from the company’s success. This also ensures that Microsoft has a controlling stake in OpenAI and will be able to shape its future direction and growth.

Aside from Microsoft, other venture firms have also expressed interest in investing in OpenAI. According to the Wall Street Journal report, the firm is in talks with venture firms including Andreessen Horowitz, Index Ventures, and Khosla Ventures. It has not yet been revealed how much each firm is looking to invest.

What Impact Will This Have on OpenAI?

The potential investment from Microsoft could have a major impact on OpenAI. With the $10 billion investment, it is expected to receive a major financial boost, allowing the company to expand its operations and focus on developing more of its AI technology. Furthermore, Microsoft’s involvement could also open up opportunities for OpenAI to collaborate with other leading tech firms, providing more resources and access to new markets. The injection of funds may also give OpenAI the resources to hire more staff and develop more products.

What Does the Future Hold for OpenAI?

The investment from Microsoft could be a huge boon for OpenAI as it looks to grow and expand its research and development efforts. The company has already made huge strides in developing AI technology, but with this funding, it could take things to the next level. With Microsoft’s support, OpenAI could become a leading player in the AI industry, paving the way for further innovations and revolutionary developments. It remains to be seen what the future holds for OpenAI, but with Microsoft’s backing, the possibilities seem endless.

Microsoft’s investment in OpenAI is a strong sign of confidence in the AI industry. The $10 billion investment is a significant boost for the company, and it is expected that OpenAI will use the funds to continue to develop and expand their ChatGPT technology. This investment could have a major impact on the AI industry, as OpenAI has been at the forefront of advancements in this sector. It will be interesting to see how Microsoft’s investment affects OpenAI and the AI industry in the long-term.

<p>The post Microsoft Corp to Invest $10 Billion Into OpenAI Chatbot Maker first appeared on Prompt Muse.</p>

As AI continues to gain widespread use and applications, governments around the world are enacting laws and regulations to ensure its safe and ethical use. The European Union, for example, has adopted the Artificial Intelligence Act which sets out harmonized rules for the development, marketing, and use of AI. The EU AI Act also imposes risk-based requirements for AI systems and is seen as a benchmark in terms of AI regulation. In Canada, the federal government has proposed Bill C-27, which is known as the Artificial Intelligence and Data Act (AIDA). It seeks to regulate the use of artificial intelligence and its associated data in Canada. This would be the first law in Canada regulating the use of artificial intelligence. The AIDA would impose various requirements on private sector businesses that use AI systems including risk-based assessments.

Exploring Canada s AI Regulatory Framework

Although it is still in its early stages, Canada has made progress in the development of an AI regulatory framework. The Canadian government has proposed the Artificial Intelligence and Data Use Regulation (AIDA), which would be the first of its kind in Canada. This proposed legislation would regulate the design, development and use of AI systems in the private sector in connection with interprovincial and international trade. Additionally, CIFAR s Pan-Canadian Artificial Intelligence Strategy is supporting research that explores the social, ethical, legal and economic effects of AI.

The Role of the Canadian Government in AI Regulation

The Canadian government is actively engaged in the process of developing AI regulation. In June 2022, the government introduced Bill C-27, titled The Digital Charter Implementation Act, 2022. This bill seeks to establish a framework for regulating AI systems, with a focus on safety, privacy, and transparency. Furthermore, the AI Directive on Automated Decision-Making has been established to address the risks associated with using AI systems in the federal public sector. These moves demonstrate the government’s commitment to ensuring that AI technologies are used responsibly and ethically.

The Impact of AI Regulation on Businesses

Businesses in Canada and the U.S. have an opportunity to take a proactive role in understanding and preparing for the implications of AI regulation. The Canadian government s proposed Artificial Intelligence & Data Act (AIDA) would bring significant changes to how businesses operate across the country.

Under the AIDA, businesses that use artificial intelligence systems must assess whether it is a high-impact system and put in place risk mitigation measures. The AIDA also requires that businesses be transparent about the use and outcomes of their AI systems, as well as adhere to specific ethical standards. For those running a regulated activity, such as healthcare, financial services or transportation, there will be additional requirements under the CPPA.

Businesses should also consider the impact of international regulations, such as the EU s AI Act or the OECD s Principles on Artificial Intelligence, which could affect their operations in other countries. Taking a proactive approach to understanding and preparing for these regulations will help businesses stay ahead of the curve and ensure that they are compliant with all relevant laws and regulations.

The potential benefits of AI to businesses are clear, which is why governments around the world are beginning to take action to regulate its use. However, it is important to remember that there are both pros and cons to AI regulation. On the one hand, regulation can provide much-needed oversight and clarity on how AI should be used ethically, minimizing the risks of misuse or abuse. On the other hand, regulation can be viewed as a form of government interference that could stifle innovation and impede the ability of businesses to make use of AI in innovative ways.

As we ve seen, the Canadian government has proposed the Artificial Intelligence and Data Act (AIDA) to regulate the design, development, and use of AI systems in the private sector. This proposal also includes an ethical framework to guide the development of AI towards a more human-centric approach, while also considering the implications of using AI technology in Canada. This ethical framework includes the Declaration on Ethics and Data Protection in Artificial Intelligence published by the Government of Canada s Digital Charter initiative. This Declaration aims to spark collective dialogue on ethical issues surrounding AI, and has been praised for its thoughtful approach.

The Challenges of Getting AI Regulation Right

Getting AI regulation right is challenging and requires a thoughtful, multi-faceted approach. Not only must the laws be effective and enforceable, but they must also be able to adapt to the ever-evolving nature of AI technologies. There must also be consideration of unintended consequences, such as potential discrimination, privacy violations, and other ethical issues. In addition, the regulatory framework must take into account the realities of global supply chains and the complexities of international collaborations. All of these challenges must be addressed in order for AI regulation to be successful and effective.

The Future of AI Regulation in Canada

As the world looks to Canada to lead the way in AI regulation, it is important to consider the potential opportunities and challenges this could bring. In the future, we anticipate that AI regulation will expand beyond the scope of Bill C-27 to include additional areas such as data privacy, ethics, and governance. As businesses continue to innovate with AI technology, it is essential for the Canadian government to remain at the forefront of AI regulation. This will ensure that Canadian businesses are able to leverage the latest technologies while still protecting the rights and safety of individuals. By taking a collaborative approach that involves industry experts, businesses, and other stakeholders, Canada can create an environment that fosters responsible innovation.

As other countries around the world are taking steps to regulate AI, Canada is beginning to take notice. The Law Commission of Ontario and others have noted that AI regulation is a complex and challenging task. What lessons can Canadian policymakers learn from the EC approach? While the European Commission’s approach is a good starting point, there is still much to be done. Canada must consider its own unique needs and develop an approach to AI regulation that takes into account the interests of all stakeholders.

<p>The post A Closer Look at Bill C-27 and Its Impact on AI Regulation in Canada first appeared on Prompt Muse.</p>

The audiobook market has seen an incredible surge in popularity in recent years, with technology companies vying for a piece of the pie. Last year, sales skyrocketed by 25%, generating an impressive $1.5bn in revenue. Industry experts are optimistic that the global audiobook market could reach a staggering $35bn by 2030. Apple had planned to launch the project in mid-November, but due to the unfortunate circumstances of layoffs at Meta and the disruption caused by Elon Musk’s takeover of Twitter, the technology sector was in a state of uncertainty.

As a result, Apple decided to delay the project launch until the situation stabilized. Apple’s development of AI to narrate books is a major milestone in the tech industry and could be a game-changer for the future of audiobooks. This exciting new technology has the potential to revolutionize the way people access and enjoy literature and could open up a whole new world of possibilities for audiobook listeners. With AI-powered narration, readers can experience books in a whole new way, and Apple is leading the charge in this innovative field. Producing an audiobook with a human voice can be a lengthy and expensive process for publishers.

However, the potential of Artificial Intelligence (AI) offers a cost-effective solution that could drastically reduce the time and money spent on creating audiobooks, but many are not convinced that the robots will make the job of the narrator redundant any time yet.

James Brown, a professional voice-over actor, founder of James Brown Voice, and former broadcast journalist shared his thoughts with us, and what he thought after listening to the audio clip above.

“AI will eventually hoover up the low-hanging fruit, and it has a place if you simply want a cheap voiceover, and there are plenty of people who do. But it simply doesn’t have the adaptability to convey real emotional insight. The woman who has given her voice to that AI is clearly a talented VO but it’s lost on the story because she can’t react to the words that she’s seeing and put actual, relevant feeling into them. In the end voiceover is about connecting with the audience in a real way and provoking them either to take action or to remember the message you’re trying to put across. An AI voice doesn’t, yet, have that capacity. If you want a voice to make your consumers feel something, that has to be done by an empathetic human.”

Apple’s recent move to expand its audiobook offerings is likely to draw further attention from lawmakers in Europe and the United States, who have been closely monitoring the company’s practices in light of allegations of anti-competitive behaviour. This expansion of Apple’s audiobook selection is sure to be met with further scrutiny, as lawmakers continue to investigate the company’s potential impact on competition.

Apple’s move to revolutionise the audiobook market with AI-narrated books is a bold and potentially game-changing move. It could open up a new world of possibilities for audiobook listeners, while also drawing attention to the company’s competitive practices. While it remains to be seen how successful this venture will be, it is clear that Apple is taking a risk that could pay off in the long run. With the potential to revolutionise the audiobook industry, Apple’s move will surely be watched closely by the industry and audiobook listeners alike.

<p>The post Apple’s AI-Narrated Audiobooks: Is This the End of Human Narrators? first appeared on Prompt Muse.</p>

This would mark a surge in the company’s valuation from about $20bn in 2021, when it was valued during a secondary share sale. Such a rise would make OpenAI an outlier in Silicon Valley, as many tech companies have had to brace for big cuts to their values and investors have pulled back from new deals.

Less than a month after OpenAI released its GPT-3.5 software, talks have begun about a potential tender offer. The chatbot, which can converse with users through text and images, has been a huge success, quickly surpassing 1 million users in just five days. Although discussions are ongoing and the value of the deal has yet to be finalised, the potential offer is exciting news.

The tech industry has been hit hard in recent months, with many start-ups forced to implement aggressive cost-cutting measures due to a stock market rout and funding crunch. According to PitchBook, the value of venture capital acquisition deals dropped to $763 million in the last three months of 2022, the first time it has been under $1 billion in more than a decade. Despite this, OpenAI’s potential tender offer is a sign of hope for the industry.

<p>The post OpenAI’s $30bn Valuation: A Reflection of AI’s Growing Power first appeared on Prompt Muse.</p>

As AI continues to evolve, it has prompted some to ask if it will eventually replace traditional search engines. Now, a new report reveals that Microsoft is preparing to launch a version of its Bing search engine that uses the artificial intelligence behind ChatGPT to answer some search queries. This could be a game changer in the way we search the internet, making it easier to get accurate answers to more complex questions. With the potential for more intelligent query suggestions and the ability to generate AI artwork from a descriptive text prompt, Microsoft’s Bing could be at the forefront of the future of search.

Introduction to ChatGPT and Its Impact on Search Engines

ChatGPT is a new artificial intelligence technology that has been making waves in the tech industry by its ability to generate natural language responses to questions. It has prompted some to proclaim that AI chat will kill traditional search engines, while Microsoft is reportedly preparing to launch a version of its Bing search engine that uses ChatGPT to answer some queries. The new technology could potentially revolutionize the way people search for information, offering more meaningful search results than traditional search engines.

How Microsoft’s Bing Search Engine Is Incorporating ChatGPT Technology

This move comes as a result of Microsoft’s 2019 investment in OpenAI, which included an agreement to incorporate some aspects of GPT into Bing. The new features could include providing full sentences in response to search queries, along with relevant suggestions and explanations. Bing may also be positioned as one of the only ways to access parts of ChatGPT for free, as OpenAI plans to eventually charge for it. 

Examples of How ChatGPT Could Change the Way People Search for Answers

By leveraging artificial intelligence, ChatGPT can suggest related queries based on the original question and explain the relevance of those keywords to the user. Additionally, it can provide full sentences as answers with sources, instead of just a list of links. This technology could also help Bing do a better job of suggesting other keywords users could use to find answers to related searches. All of this could lead to a much more comprehensive and intuitive search experience for users.

How Microsoft Is Preparing to Launch Bing with ChatGPT Technology

Microsoft plans on integrating Dall-E 2 into Bing Image Creator, with the goal of being able to issue a descriptive text prompt and AI artwork is generated in response. Microsoft will also be relying on GPT to suggest related queries and provide more meaningful answers than the Featured Snippets approach of quoting a source. The launch of this new Bing version is expected to happen before the end of March, and Microsoft is essentially footing OpenAI’s cloud bill for ChatGPT which can be an expensive technology.

Possible Challenges Microsoft May Face When Using ChatGPT

Microsoft may face several potential challenges when using ChatGPT. Firstly, Microsoft must ensure the accuracy of answers provided by ChatGPT, which may be difficult if the technology is not capable of continuously scraping the web or providing real-time information like a search engine does. Additionally, Bing must be able to suggest related keywords for users to find relevant answers, as well as explain the relevance of these keywords to the original query. Finally, Microsoft must find a way to make the AI technology accessible for free, as OpenAI plans to eventually charge for ChatGPT and Microsoft may be footing the startup’s cloud bill.

Potential Benefits of ChatGPT’s Integration Into Bing

The potential benefits of ChatGPT’s integration into Bing are numerous. With this integration, Bing could offer more accurate and relevant search results, as well as more natural language processing capabilities. It could also provide users with more personalized search results, as well as suggestions for related queries. Additionally, the integration could enable Bing to better suggest keywords for related searches, which would help users find the information they are looking for more quickly. Finally, as Bing is one of the only ways to access parts of GPT for free, this integration could also make GPT more widely available.

The potential of ChatGPT to revolutionize the way we search and interact with the internet is exciting to consider. This technology could provide far more accurate answers to our questions, as well as suggest related topics we may not have thought of. With Microsoft’s commitment to developing this technology, we may soon be able to access GPT for free through Bing. It will be interesting to see how Bing ensures the accuracy of answers and how this technology can improve our online experience.

FAQ

Q: What is ChatGPT?

A: ChatGPT is an artificial intelligence technology developed by OpenAI that is capable of generating natural language responses to queries. It is said to be capable of providing answers to complex questions that traditional search engines may not be able to answer.

Q: What are the implications of ChatGPT?

A: ChatGPT has prompted some to proclaim that AI chat will kill traditional search engines. Google is said to be at “code red” over the technology, while Microsoft is reportedly preparing to launch a version of its Bing search engine that uses the artificial intelligence behind ChatGPT.

Q: How is ChatGPT being used?

A: ChatGPT is being used by Google and Microsoft to improve their search engines, with Google reportedly being at “code red” over the technology. Microsoft is preparing to launch a version of its Bing search engine that uses ChatGPT to answer some search queries. It is also being used to generate artwork in Bing Image Creator.

Q: What else can ChatGPT do?

A: ChatGPT can suggest related queries to the original search query and provide explanations for the relevance of certain topics. It can also help Bing do a better job of suggesting other keywords users could type to see answers to related searches.

Q: What applications does it have?

A: ChatGPT is currently being used to provide search query suggestions as users type, as well as generate AI-backed answers to some questions. It is also being used to create AI artwork by issuing descriptive text prompts.

Q: Is it free?

A: Microsoft has announced plans to incorporate aspects of GPT into its Bing search engine, making it one of the only ways to access parts of GPT for free. OpenAI plans to eventually charge for ChatGPT, which is expensive.

​​Q: What are some applications of ChatGPT?

A: ChatGPT can be used to help search engines provide more accurate and personalized results. It can also be used for automatic query suggestions, image generation, and providing more relevant answers to related searches.

TL/DR

ChatGPT is a new artificial intelligence technology that has prompted some to proclaim that it will replace traditional search engines. Google and Microsoft are said to be taking steps to incorporate GPT into their search engines. Microsoft has already announced plans to integrate Dall-E 2 into its Bing Image Creator, and is preparing to launch a version of Bing which will use GPT to answer some search queries. It remains to be seen how Bing will ensure the accuracy of the answers it provides, but the new features could launch before the end of March. Microsoft is footing the bill for OpenAI, the startup behind ChatGPT, and Bing might be one of the few ways to access GPT for free.

<p>The post Microsoft’s Bing Search Engine to Leverage AI-powered ChatGPT Technology! first appeared on Prompt Muse.</p>

Links:

https://beta.openai.com/docs/api-reference/completions/create

https://landbot.io/

FAQ

Q: What is an AI Image?
A: An AI image is a computer-generated image created using Artificial Intelligence (AI) technology. AI images are usually created using powerful tools such as Dalle-2 API and Landbot.io, which allow users to create stunning visuals by harnessing the power of AI.

Q: How do I create an AI image with WhatsApp?
A: You can create an AI image with WhatsApp by using Dalle-2 API and Landbot.io. First, you will need to get a Dalle-2 API key and set up a Landbot account. Then, you can use the step-by-step guidance in our YouTube tutorial to guide you through the process of creating stunning visuals with these powerful tools.

Q: What tips and tricks should I know when creating AI images?
A: When creating AI images, it’s important to pay attention to the details and make sure that your images are accurate and aesthetically pleasing. It’s also important to choose the right resolution for your images, as this will affect their quality and usability. Additionally, make sure to store your AI images for later use by using cloud storage or your own computer system.

Q: What are the best practices for managing and storing my AI images?

A: The best practice for managing and storing your AI images is to store them in an organized and secure manner. Make sure that you back up your images regularly in case of any technical issues and use good password protection techniques to keep them safe from unauthorized access. Additionally, consider deleting any unused or outdated images to keep your storage space organized.

Transcript:

Hi, guys. Welcome to another tutorial by prompt news. Today we’re going to be making a GPT-3 image creator right into your WhatsApp. So this is going to be similar to mid journey, stable diffusion, but it’s going to be powered by Dolly and WhatsApp. So no other applications in your way, just on your phone, make an image.

Yeah, do what you will. So to start with, we’re going to need a couple of things. We’re going to need a Daly, two API key and a Land Bot account. Landbot does have a I think it’s 14 day free trial, so we’re going to be using that in this demo. Before I start, I would just like to point out that we now have a new community section within our website where we can share rate and get ideas about prompts from our own images and other peoples.

So dive in, enjoy that and I hope to see around there. Anyway, moving on. First of all, we’re going to need to create an account with Land Bot. The website is Landbot IO. So make your way over to their website and sign up for free.

Once in, you will be created by a wizard type thing asking your name, your company, just click pass. That not really needed. Anyway, once you’re in, go to the dashboard, little picture of the robot, click build chatbot. And we want a WhatsApp? We want a WhatsApp?

What are these called? I forgot. Flow diagram thing from scratch. So this is what it’s going to give you to start off with. Click past that.

So user input. This is going to be default. That’s fine. We don’t need to change anything there. And then we want the next one to be text.

Click on it, you don’t drag. And so this is going to be the question that the application in our WhatsApp is going to ask us. So let’s try and make it a little bit cool. What image can I make, my lord? Because I have a complex, obviously.

That’s all good. And we’re going to call that prompt. If I could spell promp and then apply. Just make sure that’s saved. Good.

Let’s drag this green line. It’s been a bit funny. Go away. Drag this green line down and connect. The next step is we’re going to need to get a web hook.

So this is basically connecting our app that we’re making on WhatsApp over to our Daly two API. So let’s just close that and type web hook and click. I always drag it. I don’t know why. So the information that we need here is going to be populated from API reference.

So the web address for this is if I can pull this down, beta openai.com, docsapi referencesimages. I’ll include that in the description. Cool. So down the side, we want to go down to images. And let me have a quick look.

Yeah, this is what we need. So it’s a post. It’s going to be posting. We need that URL. I’ll take that while I’m here.

And we’re going to need this information as well. So if I hop over to my other tab, move it up a little bit, put that in here.

Then we have our custom headers. So what we need here is pop over here again. Content type application JSON Actually, I think that’s prewritten. Yeah. So as a content type, capital type, then application Jason.

Application Jason. Awesome. Now we need our authorization. So this is going to be our key authorization. If you note here, they say Bearer and then the API key.

So make sure you type bearer before bearer and then your API key. I’m just going to pause the video while I get my API key. Hang on a second. Actually, no, I’ll do it with you guys here. So my API go over to your API keys.

So this is in your account. APIs keys at OpenAI. I’ll create a new one with you. I’ll delete it anyway. I’ve reached a max.

Revoke, revoke. Okay, there we go. There’s my new key. Get back over and paste that in.

Awesome.

Let’s save that and put that there. Okay, next we need to do send parameters, custom headers. We’ve done that. We’ve done that. Customise the body.

So go over back over to the reference page. And we want to drag this or actually just click Copy Simple Things. And we can paste that in here. So this is basically saying the prompt. This is the request that we’re sending to the API.

So it’s giving the prompt, the number of images and the resolution. So first of all, let’s delete prompt. Unless you just want an app that makes otters. I don’t judge. And we’re going to add our variable that we created earlier.

We call that prompt. We want one image, and the size is great.

We’re going to test that. 500 errors. So this is basically I haven’t added a phone number yet, so let’s click apply, Test, publish, first name, alex O.

Okay.

All right, cool. All good. So that ping you heard was my Web. WhatsApp? Just saying.

I got a message from them. Let’s close that. Once we’ve added our phone number, then we pop back over to Webhook and then test your request. We want to click the little button, load up our prompt variable, and we’re going to give it a value. The reason we’re going to give it a value now is we need to just have something there for land bots to allow us to give it a name.

That makes sense. Better in a second. So a happy man. Okay. Test or request.

Having a think. Scroll down. Here we go. So we got this information provided when it’s created. And the URL, the only information here we want is the URL.

So we need to give that a name. So click save, responses, variables, find that URL. URL will be the one without any Google lead brackets or anything before. So in this case, it’s this one for me. And we are going to give that a name.

In this case we’re going to call it Response.

There we go.

That’s a string, by the way. If it does ask you what type of variable it’s a string, then apply we’re good. On to the next. So the next one is we’ve got the request from the API. It’s sending the information, it’s creating the image, it’s sending it back.

Now we want to send it to what’s up? To do that close here, go to messenger. I already have. That saved me. SS.

Click it. So the information that it’s sending is going to be an image, of course, because it’s a picture. So let’s click Media, click the pencil from URL, and then we can click our variables, actually. And we called that Response, didn’t we? Response.

So that will get the URL of our picture. Click Send, tie them up, good to go. Publish. And then we can test our application. So here we go.

Test. Let’s send the test to Alex pinged. Your chatbot is ready for testing. Send a message or click the button to start testing. Okay, what image can I make, my Lord?

Let’s make a pink unicorn on a bike. Obviously, you can do your normal things like ultra realistic, 50 millimetre lens, etc. Send the off. Wait a couple of seconds. Usually takes about five to 10 seconds.

There we go. Fantastic. We’ve got my image. So, yeah, I’d be interested to see what you can do with this. And I would like to thank Mr.

Hackathon for his his tutorial on this. This was completely his idea and yeah, awesome. Stay cool. Take care.

<p>The post Create A.I images with WhatsApp first appeared on Prompt Muse.</p>

At Prompt Muse, we ve been busy working on a way for our users to share their favourite creations, monstrosities, and prompt suggestions. We re excited to introduce our new community page!

The Prompt Muse community page is designed to be a fun and collaborative space for users to share their work, get inspired, and discuss ideas. On this page, users can upload their favourite A.I generated images, share prompt ideas and techniques, and discuss different topics around a.i generation.

A community hub is also a place where users can post questions, ideas, and feedback. We ll be monitoring the forum and responding to comments, so don t hesitate to reach out if you need help or have a suggestion.

We hope you ll join us in the Prompt Muse community page and help us build a vibrant, creative space for our users. We re looking forward to seeing what amazing things you create!

VISIT COMMUNITY PROMPT MUSE NOW

<p>The post Community Prompt Muse first appeared on Prompt Muse.</p>

The information age

In this age of big data, discovering all kinds of information has never been easier – just type it into Google! I can’t remember the last time I visited the library. The search giant has revolutionized how we find what we are looking for and Alphabet has profited quite well from this. With its complex Page Rank algorithm, regularly tweaked to serve users with more relevant results, Google remains the top search provider, for now. But what if a rival could challenge their position? Other search providers exist, but they have yet to match Google s appeal – they just imitate what’s already out there. Could they revolutionize the sector and unseat Google as the go-to?

David Vs Goliath

Enter David… I mean ChatGPT.

ChatGPT is based on deep learning and a type of deep learning model known as ‘transformers’, which, when trained on large datasets with many-layered networks, can understand text very effectively – all thanks to the ‘attention’ feature that gives the model a headstart on deciding which parts of the input data are most important. Could Google’s dominance be threatened? We’ll have to wait and see!

A new way of Surfing

Your phone can already autocomplete text messages as you type! But, if you keep accepting the suggested words, soon it will run out of steam and repeat itself. That’s why ChatGPT is the new, hot technology that’s making waves in the search engine industry. OpenAI has made it available as a free research preview, and it’s already helping developers debug their code. Plus, it’s interactive and reveals the answer in full, so it feels like you’re having a conversation instead of clicking on links. 

But with that said, Google’s got its very own, transformative natural language model – LaMDA! But, they’ve been taking things slow when it comes to releasing it. We can only guess why. Google can effortlessly serve up search results to countless users in an instant. They’ve been fine-tuning the whole shebang for years to ensure their profits are sky-high. But, AI models such as ChatGPT and LaMDA are resource-hungry and making a loss (for now), and that might be putting the brakes on their success.

Monetization

The exciting possibilities of ChatGPT have users buzzing! But with all these hundreds of thousands of queries, comes a large price tag, and as of right now, ChatGPT is picking up the bill. From a business standpoint, Google is safe as long as ChatGPT is a loss-making endeavour, but with a successful monetization model, everything could change. ChatGPT’s immense popularity is showing off the power of current AI, and some users may be willing to pay for its services – which would be a cause for concern for Google if they can’t compete. The potential of ChatGPT is simply incredible – and it looks like it could be a real game-changer!

Conclusion

In conclusion, it is clear that ChatGPT has a lot of potential for becoming a formidable competitor against Google in the realm of AI technology. However, ChatGPT is going to need to find a feasible and effective monetization technique if it hopes to truly challenge Google. Google, meanwhile, is not sitting idle and has its own AI, LaMDA, which it has yet to unveil. This means that Google still has a trick up its sleeve and could be a formidable foe if ChatGPT fails to find a suitable monetization strategy. Ultimately, only time will tell which AI technology will prevail.

<p>The post Can ChatGPT dethrone Google? first appeared on Prompt Muse.</p>

We will go through the steps to take if you find yourself in this situation, from understanding your legal rights to what action you can take. Please note, this is not legal advice, simply exploring options available together.

Search haveibeentrained.com, to see if your work was used for a.i training, and request it be taken down

If you find that your artwork has been used without your consent in an AI model, you can report the violation to OpenAI by visiting Have I Been Trained. This website allows photographers and artists to search a small fraction of Stable Diffusion’s training data (more than 12 million images) to see if their work has been used. If it has, they can request that it be taken down.

Contact a Legal Adviser

If your artwork has been used in an AI model without your permission, you may have a claim for copyright infringement. You should contact a legal adviser to discuss the specifics of your case and determine the best course of action. Depending on the circumstances, you may be able to seek damages or an injunction to prevent further use of your work, as mentioned above. Additionally, you may be able to negotiate a licensing agreement with the AI model’s creator. This is all early days in the dawn of this new technology, so currently there is no precedent to reflect upon..

Draft a Cease and Desist Letter

If your artwork has been used in an AI model without your permission, you can send a Cease and Desist Letter to the party responsible. The letter should include the following information:

1. A clear statement that the use of your artwork is unauthorised and must cease immediately;
2. A description of the artwork in question, including any relevant copyright or trademark information;

3. A demand for compensation for any damages incurred as a result of the unauthorized use;
4. A request for written confirmation that the infringing party has ceased using your artwork; and
5. A warning that legal action may be taken if they do not comply with your demands.

Identify Potential Damages and Remedies

If your artwork has been used in an AI model without your permission, you may be able to seek damages and remedies under the law. Section 8(3) of the Human Rights Act 1998 states that in determining whether to award damages, or the amount of an award, the court must take into account the extent to which any person responsible for the infringement knew or ought to have known that he was interfering with your rights. Additionally, under the General Data Protection Regulation (GDPR), you may be able to seek compensation for any material or non-material damage caused by a breach of data protection law. Furthermore, if your artwork was used commercially without your permission, you may be able to seek damages for copyright infringement.

Find Out What Damages You May Be Entitled To

Depending on the circumstances, you may be able to seek compensation through a liability regime under private law, such as tort law. You may also be able to claim for vindicatory damages or the making good of your right to performance of the contract. Additionally, public authorities may now be liable in damages if they are found to have breached human rights.

In order to protect yourself from potential AI-related disputes, organizations should ensure that they have appropriate controls and practices in place. This includes having clear policies and procedures for using AI models and ensuring that any data used is collected ethically and legally. Additionally, organisations should consider the ethical implications of their use of AI technology and ensure that it is running in line with their values.

Consider Digital Millennium Copyright Act (DMCA) Notices

If your artwork has been used in an A.I model without your permission, you can file a DMCA takedown notice to have the content removed from the website. The DMCA allows copyright holders to send a notice to a service provider (like YouTube or other websites) requesting that infringing content be removed. The notice should include information about the copyrighted work, and evidence that it is being used without permission. Once the service provider receives the notice, they must take down or disable access to the infringing material. If the party who filed the original DMCA Notice does not file a court action against you within ten days, then you can restore the removed content.

Conclusion

If you discover that your artwork has been used in an AI model without your permission, you may be able to take legal action against the person or company responsible. Depending on the circumstances, you may be able to claim copyright infringement or breach of contract. You should consult a lawyer to discuss your options and determine the best course of action. Additionally, you can contact the relevant authorities such as the Copyright Office or your local law enforcement agency for more information and assistance.

<p>The post What to do if your artwork was “stolen” by A.I? first appeared on Prompt Muse.</p>

Well, kind of. Let me explain. It takes your primitive objects and your prompts and combines them and creates an AI render to the perspective that you want. Finally here, I cannot tell you countless hours I have spent in midjourney putting the camera angles in place to try and get the perspective right. So imagine that this is the baseline what’s to come. The future for AI rendering is definitely going to be integrated in three D. I mean, Mark Holtz already suggested that they’re working on something that will be released next year. Very, very exciting. Before we dive into the tutorial, I just want to give you a brief overview and show you how powerful this plugin actually is. This plugin now means that we can create AI renders from any perspective. So I’ve quite literally thrown down some very primitive shapes here. And if I just hit Render, I’ve got my prompt already set up there over on the right, and you can see it’s rendered me a train in that perspective with trees behind it. And that is what I’ve asked for in the prompt. The plugin that you need to use is called AI.

Render stable diffusion in blender. And to get hold of this plugin, just go to Blender Market. The link is in my description below. You will need to log in and make an account, but they’re not it’s absolutely free. If you want to support the developer, you can give a donation here. But if you don’t have the money at the moment, you don’t have to pay anything. You can click $0 and then click on Purchase and then once added, go to the car and cheque out and get your download for free. Once you’ve checked out and downloaded that zip, you need to go into Blender and then go on to the top horizontal toolbar and click Edit and then go down to Preferences and then Addons. And on the top horizontal toolbar, click on Install and navigate to the zip file you just downloaded. It should be called AI hyphen render. Okay? And just install the add on. And if you don’t see it straight away, just in the search bar, start Stable and it should come up. Ensure the checkbox has a tick in it. And then if you expand down, you will see sign up for Dream Studio.

You do need an account, and if you don’t have an account, just create one here by clicking on this button. Once you’ve logged in, if you navigate to the API key and you will want to create an API key, keep this absolutely secret. Just click on Copy and then go back to Blender and you will see the API key section here. If you just paste back in there. And to save all the settings, you just need to go to this hamburger icon down here and click Save Preferences. Okay, so the plug in is now installed. This is a default scene. So I’m just going to click on the cube and hit delete on the keyboard. And then I’m going to hit shift and a and then under Mesh plane, I’m going to put a plane down and just scale it up. She’s gonna scale it later. Bigger than that. I’m going to shift an A once again and under Mesh, go to Taurus. And again, scale that up. I’m just going to move that upwards slightly and then hit zero on my keyboard. So this will give me my camera viewport if I go up here and click on Viewport Shading I want to change the colours of my objects to help the code distinguish each object from one another.

I’m going to click on the Donut and then the material slot and I’m going to create a new colour and I’m going to make it like a kind of brown doughnutty colour and then I’m going to click the plane and again just make it a white colour and that’s it. We’re done. If you go over to render properties. We are now going to enable AI under the AI render tab. If you click on that and then click on the question mark next to the image size, it’s set to 512. X 512 by default. And that’s fine for me because I want to keep the render times low and click. OK, you must do this, otherwise you will get an error message while rendering and then you can see you’ve. Got your prompt down here. So remember, this is based on stable diffusion code. So if you’re used to using dream studio or stable diffusion itself, you can use the same prompts in here, and that should help. Now if you see this lady’s face here if you click on that you will see all the preset styles that are within this plugin. I’m going to use the Product Shop preset and I’m going to give the Donut a description of donut of course with Sprinkle realistic Food Photography eight k and we’re done.

We just head over to render on this top horizontal toolbar and then click Render Image. You can hit the shortcut F twelve if you prefer and we should get a donut so that’s pretty cool. We’ve got a doughnut in that perspective. Now what we can do is if we scroll down here and click on Operations we can create a new image from the last render so if that’s not particularly the donut you wanted you can click on this and what it will do is create you a new render from this rendered image rather than simple geometry. So if we click on that and let’s see what it gives us and it’s given us a pretty realistic donut which is great for over painting or using a stock imagery you will also probably notice that you are in this AI render. So to get back to your geometry. You just click layout and there you go. Press zero again to come out of the camera view and that is that simple. This is a great example of the power of this plug in and how quickly this technology is evolving. As you can see, I’ve made this very rudimental background mountains with a lake and if I hit zero to go in so let’s see what it generates.

So go up to Render and render image and look at that. That is amazing. That has created that from my rudimentary geometry. You can see the direction these plugins are going in, how the evolution of this technology is coming along. As you can see, it’s not exactly there yet, but it definitely is coming. You can’t do 3D animation just yet and as far as I’m aware, you can’t animate from blender. But I know again in the next coming days that should come and of course I will report on it when that does come. Thank you to Ben from AI Renderer for creating this fantastic bridge plugin. If you like this video, hit subscribe and like. If you don’t like this video, hit subscribe and like this is just a quick overview to show you and demonstrate how powerful the baseline of AI within a 3D programme is going to be. I am so, so excited for what’s to come. Because if I haven’t told you before, I used to be a 3D professional artist. So guys, we are nearly on 500 subscribers. We are on 497. So I need to three more subscribers, guys, to get 500.

And that will mean I’ve got 500 subscribers. Okay, thanks. Bye.

<p>The post How to use AI to Render in 3D – It’s here first appeared on Prompt Muse.</p>