[ML News] Grok-1 open-sourced | Nvidia GTC | OpenAI leaks model names | AI Act

Yannic Kilcher
26 Mar 202427:00

TLDRThe transcript discusses the open release of the Grock AI model with 314 billion parameters, its sarcastic tone, and alignment with Elon Musk's free speech approach. It highlights the model's open-source availability under the Apache 2.0 license. The news also covers Nvidia's GTC conference, introducing new Blackwell chips and their potential impact on AI. Additionally, the transcript touches on the development of a foundation model for humanoid robots and the European AI Act's progress. It mentions the acquisition of Inflection by Microsoft, the rise of open-source AI models, and various advancements in AI technology, including fine-tuning improvements and the application of AI in internet browsing and tabular data analysis.

Takeaways

  • 🚀 Open release of Grock, a 314 billion parameter language model developed by Elon Musk, signaling a significant step in AI openness and collaboration.
  • 📈 Nvidia's GTC conference highlighted the announcement of new Blackwell chips, which are expected to double the speed of previous generations and introduce FP4 tensor cores.
  • 🤖 Introduction of the Groot Foundation model for humanoid robotics, aiming to enhance robot interactions through pre-trained models and sensory data processing.
  • 🌐 Inflection, a company focused on personal AI assistants, was acquired by Microsoft, leading to the formation of a new Microsoft AI division within the company.
  • 📜 The AI Act passed by European lawmakers represents the world's first major legislation to regulate AI, setting a global standard for AI governance.
  • 🔍 OpenAI's API has been brute-forced to reveal unadvertised model names, indicating a potential loophole in the system that could be patched soon.
  • 🤖 Mercedes begins piloting optronic humanoid robots in their factories, signaling a trend towards the use of humanoid robots in industrial settings.
  • 🌐 India's retraction of a non-binding recommendation for government approval of AI deployments reflects a global conversation on the balance between regulation and innovation.
  • 🔧 Developments in open-source models like OpenSora continue to push the boundaries of what is possible outside of commercial models, offering new opportunities for research and development.
  • 🔐 Research into decrypting encrypted traffic from large language models suggests new security considerations as token-by-token streaming becomes more prevalent.

Q & A

  • What is the significant event that Elon has done recently in the ML space?

    -Elon has open-sourced the GPT model known as Grock, which is a 314 billion parameter language model. This model is known for its quippy and sarcastic tone, aligning with Elon's approach to free speech.

  • What are the requirements to run the Grock model?

    -Running the Grock model requires 69 GPUs, indicating that it is a large and resource-intensive model.

  • How is the Grock model licensed?

    -The Grock model weights and code are available under the Apache 2.0 license, making it fully usable and open source.

  • What is the significance of the GTC conference by Nvidia this year?

    -Nvidia announced new chips called Blackwell at their GTC conference. These chips are about double the speed of the previous generation and introduce FP4 tensor cores, which are floating-point numbers with four bits.

  • What is the potential impact of the new FP4 tensor cores in Nvidia's chips?

    -The FP4 tensor cores could change how models are scaled in the future. Although it's unclear how the four-bit floating-point numbers will be utilized, it suggests a potential shift towards more efficient computation for large language models.

  • What is the Groot Foundation model announced by Nvidia?

    -The Groot Foundation model is a pre-trained model designed to handle a variety of humanoid robot interactions. It takes in sensory data like vision and language and translates it into actions that a humanoid robot can execute.

  • What does the recent investment by Microsoft in Inflection signify?

    -Microsoft, which is Inflection's biggest investor, has acquired the company after investing $1.3 billion. This move indicates Microsoft's strategy of investing in startups and eventually integrating them into their own divisions, in this case, forming a new division called Microsoft AI.

  • What is the AI Act passed by European lawmakers?

    -The AI Act is a major piece of legislation aimed at regulating AI within the European Union. It is expected to enter into force after passing final checks and receiving endorsement from the European Council, setting a new global standard for AI regulation.

  • What is the significance of the open Sora repository on GitHub?

    -The open Sora repository is pushing for open models that can perform tasks similar to Sora, an open-source large language model. It has garnered almost 10,000 stars on GitHub, indicating strong community interest and support for open-source AI models.

  • What does the research on encrypted traffic from large language models suggest?

    -The research suggests that observing encrypted traffic from large language models can provide insights into the content. By analyzing the size of the encrypted messages token by token, one can infer the length of the tokens and potentially decode the text using heuristic methods and trained language models.

  • What is the key takeaway from Apple's mm1 investigation into scaling and training multimodal large language models?

    -Apple's research indicates that the success of multimodal training is significantly influenced by factors such as image encoder, image resolution, and image token count. Interestingly, the vision-language connection connector design has a comparatively negligible impact.

Outlines

00:00

🚀 Open Release of GPT-4 and Nvidia's GTC Announcements

The paragraph discusses the open release of GPT-4, a 314 billion parameter model developed by Elon Musk's team, which is now available under the Apache 2.0 license. It highlights the model's large size, quippy and sarcastic tone, and the positive implications of its open-source availability. Additionally, the news about Nvidia's GTC conference is covered, with a focus on the announcement of new Blackwell chips that are twice as fast as the previous generation and feature FP4 tensor cores. The implications of these new chips for future AI and machine learning applications are also discussed.

05:00

🌟 GitHub Stars and OpenAI API Exploration

This paragraph focuses on the popularity of the GPT-4 repository on GitHub, as indicated by the number of stars it has received. It also touches on the efforts of some individuals to brute force the OpenAI API to discover model names that are not publicly advertised but are accessible via the API. The paragraph mentions the release of a list of such model names, which has sparked interest and discussion within the AI community. Furthermore, it briefly mentions the acquisition of Inflection by Microsoft, which has led to the formation of a new division within Microsoft focused on AI.

10:01

📜 European AI Act and Advancements in Robotics

The discussion in this paragraph revolves around the European AI Act, which has passed another major hurdle and is expected to enter into force soon. The AI Act has been modified over the years to be less restrictive, especially towards research and open-source models. The paragraph also covers the increasing use of humanoid robots in factories by major industrial players, such as Mercedes, and the delivery of humanoid robots to companies like Amazon and BMW by agility robotics. The potential benefits and concerns regarding the humanoid form of robots are also addressed.

15:01

📊 Innovations in AI Models and Research

This paragraph delves into various advancements and research in AI models. It mentions the development of open-source text-to-video models, the challenges and progress in fine-tuning GPT models, and the discovery of a method to infer encrypted traffic content from large language models. The paragraph also highlights the release of new tools like fuzztypes for autocorrecting data from LLMs, the support of AMD graphics cards by the AMA library, and Apple's investigation into scaling and training multimodal large language models. The importance of data mix and training recipes for multimodal models is emphasized.

20:03

🤖 Interactive AI and Embedding Models

The paragraph discusses the development of interactive AI agents that can navigate and interact with websites, similar to how a human would. It introduces the concept of 'laag' which allows large language models to interact with web content based on user prompts. The paragraph also covers Google's research release of 'chain of table', an iterative method for processing tabular data. Finally, it mentions the announcement of 'coher embed V3', an embedding model that supports int 8 and binary embeddings, significantly reducing the memory and storage requirements.

25:06

🎉 Conclusion and Updates

In the concluding paragraph, the speaker wraps up the main points discussed in the video script, touching on the significance of the open release of GPT-4, the advancements in AI chip technology, and the regulatory steps taken by European lawmakers. The speaker also mentions the increasing adoption of AI in various fields, such as robotics and search engine optimization, and encourages viewers to stay informed about the latest developments in the AI space.

Mindmap

Keywords

💡Grock

Grock is a large language model with 314 billion parameters, mentioned in the video as being openly released by Elon Musk. It is characterized by a quippy and sarcastic tone, aligning with the free speech approach of Elon Musk's management of Twitter. The model's code and weights are available under the Apache 2.0 license, making it fully open source and accessible to the public. This release is seen as a significant step towards democratizing access to advanced AI models.

💡Open Source

Open source refers to something that is freely available for the public to view, use, modify, and distribute. In the context of the video, it is highlighted that the Grock model's code and weights are released under the Apache 2.0 license, making it an open source project. This is significant as it allows for wider collaboration, innovation, and accessibility in the field of AI, promoting transparency and community involvement in the development and improvement of the technology.

💡GPUs

GPUs, or Graphics Processing Units, are specialized electronic circuits designed to rapidly manipulate and alter memory to accelerate the creation of images in a frame buffer intended for output to a display device. In the context of the video, GPUs are mentioned as a requirement to run the large Grock model, emphasizing the computational power needed for such advanced AI models. The development and release of new, more powerful GPUs by companies like Nvidia are also discussed, highlighting the ongoing advancements in hardware that support AI technology.

💡Nvidia GTC

Nvidia GTC, or GPU Technology Conference, is an annual event where Nvidia showcases its latest innovations and technologies, particularly in the field of AI and deep learning. The video mentions the conference in relation to Nvidia's announcement of new GPU chips called Blackwell, which are said to be twice as fast as the previous generation and feature FP4 tensor cores. This event is significant as it often marks the introduction of groundbreaking technologies that can shape the future of computing and AI.

💡FP4 Tensor Cores

FP4 tensor cores are a type of processor unit found in Nvidia's new GPU chips. They are designed to handle floating-point calculations with four bits, which is a form of quantization that reduces the precision of the calculations to save space and energy. In the context of the video, the presenter expresses curiosity about how FP4 tensor cores will perform, as they represent a shift from the traditional 64-bit or 32-bit floating-point numbers commonly used in AI model training. This technology could potentially lead to more efficient and power-saving AI models in the future.

💡Humanoid Robotics

Humanoid robotics refers to the field of robotics that focuses on the design and construction of robots that have a human-like form or behavior. In the video, it is mentioned that Nvidia has announced a foundation model for humanoids, which is a pre-trained model designed to handle various interactions with humanoid robots. This model is expected to process sensory data like vision and language and translate it into actions that a humanoid robot can execute. The development of humanoid robotics is significant as it aims to create machines that can interact with the world in a way that is more intuitive and adaptable to human environments.

💡Omniverse

Omniverse is a platform developed by Nvidia that is designed for simulating and creating virtual worlds, often used for training AI and robotics. In the context of the video, it is mentioned as a VR environment where training for humanoid robots is envisioned to take place. The platform allows for the creation of complex simulations and interactions, which can be crucial for testing and developing AI systems and robots in a controlled and versatile environment.

💡Robot Operating System (ROS)

The Robot Operating System (ROS) is a flexible framework for writing robot software, providing a set of tools, libraries, and conventions that aim to simplify the task of creating complex and robust robot behavior across a wide variety of platforms. In the video, it is mentioned that Nvidia has announced general support for ROS, indicating that their technologies and platforms, including those for humanoid robotics, will be more compatible and integrated with this widely used standard in the robotics industry.

💡OpenAI API

The OpenAI API is a set of programming interfaces provided by OpenAI that allows developers to access and utilize the capabilities of OpenAI's AI models, such as GPT-3, for their own applications. In the video, it is mentioned that people are brute-forcing the OpenAI API to discover model names that are not publicly advertised but are still accessible. This activity demonstrates the ongoing interest and attempts to explore and utilize the full capabilities of AI models beyond what is officially provided by the API.

💡Inflection

Inflection is a startup company that has been working on building a personal AI assistant capable of natural conversation. In the video, it is mentioned that despite raising $1.3 billion, Inflection has been acquired by its biggest investor, Microsoft, and has become part of a new division within Microsoft called Microsoft AI. This acquisition signifies the challenges faced by startups in the AI space, especially when it comes to achieving breakthroughs and differentiating themselves in a competitive market.

💡AI Act

The AI Act is a legislative proposal by the European Union aimed at regulating artificial intelligence within its member states. The video mentions that the AI Act has passed another major hurdle and is expected to enter into force after final checks and endorsements. This act is significant as it represents a global effort to establish standards and regulations for AI, reflecting the growing recognition of AI's impact on society and the need for governance.

Highlights

Open release of Grock, a 314 billion parameter model developed by Elon's team.

Grock's tone is more quippy and sarcastic, aligning with Elon's free speech approach on Twitter.

The Grock model and its code are available under the Apache 2.0 license, making it fully open source.

Nvidia's GTC conference announces new Blackwell chips, which are twice as fast as the previous generation and support FP4 tensor cores.

Nvidia envisions a future with humanoid robots, introducing the Groot Foundation model for humanoid interactions.

The announcement of Omniverse, a VR environment for training humanoid robots to interact with various terrains.

Support for the Robot Operating System (ROS) in Nvidia's new announcements, indicating a focus on robotics.

People are brute-forcing the OpenAI API to discover model names not openly advertised.

Inflection, after raising $1.3 billion, is acquired by its biggest investor, Microsoft.

The European lawmakers pass the world's first major act to regulate AI, the AI Act.

Apple's mm1 investigation reveals the importance of image encoder, resolution, and token count in multimodal training.

Laag's innovation allows internet browsing to be connected with large language models, enabling agent-like interactions with websites.

Google Research releases Chain of Table, an iterative method for tabular data inference.

Alphabet shares go up due to reports of Apple in talks to license Gemini AI for iPhones.

Stability introduces Stable Video 3D, a model that can create an orbital view from a single image.

Coher announces Coher Embed V3, supporting int 8 and binary embeddings for reduced memory usage and improved search quality.