Extropic Beff Jezos on AGI Computing | Better than Quantum Computing? | Accelerate or Die

Wes Roth
14 Mar 202409:49

TLDRJeff Bezos discusses his investment in Perplexity AI, an AI-powered search engine, while addressing the limitations of Moore's Law and the need for new computing paradigms like Quantum and neuromorphic computing. Gom Verdon, an ex-Google engineer, introduces a novel approach with his company, Xthropic, aiming to revolutionize AI efficiency. The transcript also touches on the global AI innovation landscape, highlighting French contributions and concerns over potential government regulation impacting AI development.

Takeaways

  • 🚀 Jeff Bezos is investing in Perplexity AI, an AI-powered search engine that summarizes web sources.
  • 😷 Bezos experienced dehydration and illness, affecting his search history and queries.
  • 🔍 Forbes used CIA technology to reveal the identity of an anonymous Twitter account, linked to an ex-Google engineer named Gom Verdo, also known as Beth Jos.
  • 📈 Moore's Law, which predicts the doubling of transistors on microchips every 2 years, is approaching its limits as technology miniaturizes.
  • 🌪️ The semiconductor and AI industries are facing a wall known as 'Moore's Wall,' where the demand for AI is outscaling the capabilities of current computing technologies.
  • 💡 X Theropic, founded by Gom Verdo, is developing a new physics-based computing paradigm for AI, focusing on superconductors and non-digital, analog stochastic circuits.
  • 🌟 X Theropic's approach promises faster computation by leveraging the natural fluctuations of electrons, potentially exceeding the capabilities of traditional digital computing.
  • 🌐 The future of AI development may not rely solely on Moore's Law or digital computers, with new technologies like quantum computing and neuromorphic chips on the horizon.
  • 🤖 The global AI community, including many French-speaking developers, is contributing to rapid advancements in AI and its applications.
  • 📢 Concerns about government regulation and potential restrictions on open-source AI models were raised by industry figures like Yan Lecun and Beth Jos.
  • 🌟 The next generation of computer chips and AI technologies is expected to bring about a significant leap in intelligence and energy efficiency, marking an exciting future for the field.

Q & A

  • Who is the CEO entrepreneur mentioned in the transcript born in 1964?

    -Jeffrey Bezos is the CEO entrepreneur mentioned in the transcript, who was born in 1964.

  • What is Perplexity AI?

    -Perplexity AI is an AI-powered search engine that searches the web and summarizes sources for users.

  • What incident involving Forbes and a CIA technology recently occurred?

    -Forbes recently used a CIA technology to dox an anonymous Twitter account by matching the voice recordings to reveal the individual as an ex-Google engineer named Gom Verdo, also known by his alter ego, Beth Jos.

  • What is the significance of Moore's Law in the context of the transcript?

    -Moore's Law is significant in the transcript as it refers to the historical doubling of microchip transistors roughly every 2 years, which has been a driving force behind technological innovation. However, the transcript suggests that we are approaching the limits of this law due to physical constraints.

  • What is the term 'Moore's Wall' referring to in the transcript?

    -In the transcript, 'Moore's Wall' refers to the theoretical limit that the semiconductor industry and AI industry are approaching due to the physical constraints of transistor size reduction, indicating that Moore's Law may no longer be sustainable.

  • What alternative computing paradigm is Gom Verdo's company, X, exploring?

    -Gom Verdo's company, X, is exploring a full-stack physics-based computing paradigm focused on AI, which involves the use of superconductors and analog stochastic circuits, offering a non-digital approach that is potentially more efficient and faster than traditional methods.

  • What is the concern raised by both Beth Jos and Yan Lecun regarding AI regulation?

    -Both Beth Jos and Yan Lecun are concerned about the potential problems that could arise if government regulation of AI becomes too strong, leading to restrictions on open-source AI models and the possibility of requiring licenses to train AI models.

  • What is the significance of the term 'Energy-based models' mentioned in the transcript?

    -Energy-based models are the models that X's chips run natively as a physical process. They are considered the future of machine learning algorithms due to their potential for massive speed improvements and efficiency in processing complex tasks.

  • What is the potential impact of the advancements in AI and computing discussed in the transcript?

    -The advancements in AI and computing discussed in the transcript could lead to a massive explosion of intelligence, empowering various fields and creating a virtuous cycle that could significantly improve life and generate prosperity on a global scale.

  • What humorous observation is made about the French speakers in the AI field?

    -The humorous observation is that the French speakers in the AI field might have avoided using the term 'Chat GPT' (which sounds like 'I farted' in French) and instead focused on dominating the field to control the naming of AI and AGI technologies.

  • What is the call to action for the audience in the transcript?

    -The call to action is for talented individuals to join the effort to scale AI efficiently and contribute to what is described as a 'Manhattan project for AI', with the goal of embedding AI more efficiently into the world's physics and scaling intelligence globally.

Outlines

00:00

🚀 Jeff Bezos' Investment in AI and the Future of Computing

This paragraph discusses Jeff Bezos' investment in an AI-powered search engine that summarizes web sources. It touches on his personal experiences with dehydration and the breakthroughs in technology, including the rumors about creatures. The focus then shifts to the limitations of Moore's Law and the potential end of classical physics, suggesting the need for new computing paradigms such as Quantum Computing and neuromorphic chips. The narrative introduces Gom Verdo, a former Google engineer working on Quantum Computing, who has founded a company, X thropic, aiming to develop a better alternative to Quantum Computing. The segment also features Gary Tan, CEO of Y Combinator, who emphasizes the importance of innovation in AI and computing as Moore's Law nears its end.

05:02

🌟 Energy-Based Models and the Future of Machine Learning

The second paragraph delves into the concept of Energy-based models, which are seen as the future of machine learning algorithms. It describes the development of a new computing paradigm by X thropic, focused on AI and based on superconductors and analog stochastic circuits. The approach aims to harness the power of nature for faster computations, offering a non-digital, more efficient method. The paragraph also addresses the challenges in the AI industry, such as the potential over-regulation of AI and the need for open-source models. It highlights the global effort in AI innovation and the potential for significant advancements in computing, predicting a future where intelligence is embedded more efficiently into the world's physics, leading to massive prosperity.

Mindmap

Keywords

💡Jeffrey Bezos

Jeffrey Bezos is an entrepreneur and the founder of Amazon. In the context of the video, he is mentioned as an example of a successful investor, particularly in the field of AI with his investment in 'perplexity AI', an AI-powered search engine. His involvement in the tech industry and his forward-thinking approach to innovation are highlighted to emphasize the significance of AI advancements.

💡Perplexity AI

Perplexity AI refers to an AI-powered search engine mentioned in the script. It is designed to search the web and provide summaries of sources, which is a clear demonstration of AI's capability to process and condense information efficiently. The mention of Perplexity AI in the context of Bezos's investment underscores the growing importance and potential of AI technologies in various sectors.

💡Quantum Computing

Quantum Computing is a type of computation that leverages the principles of quantum mechanics to perform operations on data. It has the potential to solve complex problems much faster than classical computers. In the video, Quantum Computing is presented as a cutting-edge technology that is being explored as an alternative to traditional computing methods, especially as we approach the limits of Moore's Law.

💡Moore's Law

Moore's Law is the observation that the number of transistors on a microchip doubles approximately every two years, leading to rapid advancements in technology and computing power. However, the video script points out that we are nearing a 'wall' where further miniaturization of transistors may no longer be feasible, suggesting the need for alternative computing paradigms.

💡X Thropic

X Thropic is the company founded by Gom Verdo (Beth Jos Veron), an ex-Google engineer who worked on Quantum Computing. The company is focused on developing a new computing paradigm based on physics for AI, aiming to surpass the capabilities of Quantum Computing. In the video, X Thropic represents the innovative efforts to overcome the limitations of current computing technologies.

💡Gary Tan

Gary Tan is the CEO of Y Combinator, an accelerator for startups. In the video, he discusses the impending end of Moore's Law and the need for a new approach to computing that can keep up with the rapidly growing demands of AI. His perspective adds to the narrative of seeking innovative solutions to computational challenges.

💡Energy-based models

Energy-based models refer to a class of machine learning algorithms that operate on the principles of energy minimization. These models are particularly suited for running on the chips designed by X Thropic, as they natively support the physical processes these algorithms require. The video positions energy-based models as the future of machine learning, offering significant speed improvements over traditional digital approaches.

💡Neuromorphic computing

Neuromorphic computing is a type of architecture inspired by the neural structure of the human brain. It aims to mimic the brain's efficiency and parallel processing capabilities. In the video, neuromorphic computing is mentioned as one of the potential alternatives to traditional computing methods, alongside Quantum Computing, as we face the limits of Moore's Law.

💡AI regulation

AI regulation refers to the governance and control of artificial intelligence technologies, often to ensure ethical use and prevent misuse. In the video, concerns are raised about the potential for over-regulation or special interest lobbying that could stifle innovation, particularly in the context of open-source AI models.

💡San Francisco

San Francisco is a city in California known for its tech industry and innovation, particularly in Silicon Valley. In the video, Gary Tan expresses dissatisfaction with the people running San Francisco, suggesting a broader commentary on the governance and policies affecting technological innovation in the city.

💡French AI developers

The term 'French AI developers' refers to the notable presence of French-speaking individuals and companies in the field of AI development. In the video, it is humorously suggested that the prominence of French developers might be related to the linguistic nuances of terms like 'GPT', which could inadvertently discourage the use of certain names in French.

Highlights

Jeff Bezos' investment in Perplexity AI, an AI-powered search engine, is performing exceptionally well.

Perplexity AI searches the web and summarizes sources, which has been frequently used by the speaker.

Jeff Bezos was mistakenly doxed by Forbes using CIA technology, linking his voice to an anonymous Twitter account belonging to an ex-Google engineer named Gom Verdo.

Gom Verdo, the ex-Google engineer, worked on Quantum Computing and now operates under the alter ego name Beth Jos.

Moore's Law, which states that the number of transistors on microchips doubles every 2 years, has held up from 1970 to 2020 but is now approaching a physical limit.

The semiconductor and AI industries are facing a wall known as 'Moore's Wall,' where the demand for AI is scaling rapidly but the ability to make transistors smaller is limited.

Gom Verdo's company, X-Thropic, is developing a new computing paradigm that could potentially surpass Quantum Computing.

X-Thropic's approach involves using superconductors and analog stochastic circuits, which are non-digital and based on the most efficient neurons in the universe.

The new computing approach uses Energy-based models, which are natively run by X-Thropic's chips and offer a massive speed up by leveraging the power of nature.

Gary Tan, CEO of Y Combinator, is also involved in the discussion about the future of computing and AI.

There is a pattern of French-speaking AI developers dominating the field, possibly due to the linguistic misinterpretation of 'Chat GPT' in French.

Beth Jos and Yan Laon have independently raised concerns about potential problems with government regulation of AI and the possibility of outlawing open-source AI models.

The future of AI and computing is bright, with innovations happening globally and a new level of intelligence being generated beyond the limits of matter and atoms.

The next generation of AI, such as Claude 3 with an IQ of 103, is expected to surpass genius level in the near future.

The AI industry is calling for the most talented individuals to help scale this 'Manhattan project for AI' to embed AI more efficiently into the world's physics.

There is a need to accelerate AI development to keep up with the rapid advancements in the field, such as the upcoming versions of AI models that are expected to surpass human intelligence.

The innovation in AI and the development of tools and applications around AI are happening at a breathtaking pace worldwide.

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