[ML News] Grok-1 open-sourced | Nvidia GTC | OpenAI leaks model names | AI Act
TLDRThe transcript discusses the open release of the GPT-3 rival, Grock, a 314 billion parameter language model developed by Elon Musk, emphasizing its alignment with free speech values and open-source availability. It also highlights Nvidia's announcement of new, faster GPUs named Blackwell, designed with FP4 tensor cores. Furthermore, the transcript touches on the development of a foundation model for humanoid robots by Nvidia and the AI Act's passage in Europe, marking a significant step in AI regulation. Lastly, it mentions various AI advancements, including Apple's multimodal models, Google's Chain of Table for tabular data analysis, and Coher's Int8 and binary embedding models for improved search quality with reduced memory requirements.
Takeaways
- 🚀 Open release of Grock, a 314 billion parameter language model developed by Elon Musk, signaling a significant step towards open-source AI development.
- 📈 Nvidia's GTC conference announces 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.
- 🌐 European lawmakers pass the AI Act, marking the world's first major legislation to regulate AI and setting a global standard for AI governance.
- 💡 Inflection, a company focused on personal AI assistants, is acquired by Microsoft, leading to the formation of a new Microsoft AI division within the company.
- 🔍 People are brute-forcing the OpenAI API to discover model names not openly advertised, indicating a potential loophole in the system.
- 🤖 Mercedes begins piloting optronic humanoid robots in their factories, showing a trend towards integrating robots into low-skill work environments.
- 🌐 India retracts its plan to require approval for AI model launches, demonstrating a response to global criticism and a shift towards more open AI development policies.
- 🛠️ Introduction of fuzztypes, a library aimed at autocorrecting data from LLMs, and AMA now supporting AMD graphics cards, showcasing advancements in AI development tools.
- 🔗 Google Research releases Chain of Table, an iterative method for processing tabular data, highlighting the potential of structured prompting for language models.
Q & A
What is the significance of the open release of Grock by Elon Musk?
-The open release of Grock, a 314 billion parameter language model, is significant as it represents a major step towards open-source collaboration in the AI community. It is larger than models like GPT-3 and has been trained with a focus on free speech, aligning with Elon Musk's approach since taking over Twitter. The model weights and code are available under the Apache 2.0 license, making it fully usable and accessible to developers and researchers.
What are the key features of Nvidia's new Blackwell GPUs?
-Nvidia's new Blackwell GPUs, announced at the GTC conference, are notably faster, approximately double the speed of the previous generation. They introduce FP4 tensor cores, which handle floating-point numbers with four bits, a novelty in precision that could potentially optimize the balance between performance and efficiency for AI computations.
What is the purpose of the Groot Foundation model for humanoids?
-The Groot Foundation model is designed as a pre-trained model to handle a variety of humanoid robot interactions. It processes sensory data like vision and language to translate it into actions that a humanoid robot can execute, thereby advancing the field of humanoid robotics and AI interaction.
How is the open AI API being brute-forced and what are the implications?
-People are brute-forcing the Open AI API to discover model names that are not openly advertised but are still accessible. This has led to the release of a long list of model names, some of which may be test models or fine-tuned versions. The implications are that it reveals the extent of Open AI's model development and could potentially allow unauthorized access to these models, which may lead to the patching of this loophole.
What happened to Inflection after raising $1.3 billion?
-After raising $1.3 billion, Inflection was acquired by its biggest investor, Microsoft. Two of the three co-founders moved to Microsoft to start a new division called Microsoft AI. This move indicates Microsoft's strategy of investing in startups and eventually integrating them into their broader ecosystem to enhance their AI capabilities.
What is the AI Act passed by European lawmakers?
-The AI Act is a major piece of legislation passed by European lawmakers to regulate AI within the European Union. It aims to set a global standard for AI regulation, ensuring that AI systems are safe and respect user rights. The act has evolved over time to be less restrictive towards research and open-source models.
How does the research on encrypted traffic analysis from large language models work?
-The research focuses on analyzing encrypted traffic from large language models to infer the content without decrypting it. By streaming tokens one by one, the size of the encrypted messages can reveal the length of the tokens, which can be used to perform heuristic decoding. This method uses the patterns in language models to guess the content of the encrypted text, showing a new potential vulnerability in classical security measures.
What is fuzztypes and how does it benefit interactions with LLMs?
-Fuzztypes is a library developed by Ian Mor that autocorrects data coming from large language models (LLMs). For instance, if an LLM is expected to return a date but the input is slightly incorrect or 'fuzzy', fuzztypes will correct it. This tool improves the usability and accuracy of interactions with LLMs by handling minor inconsistencies and inaccuracies in user inputs.
What are the key findings from Apple's investigation into scaling and training multimodal large language models?
-Apple's research found that the success of multimodal training is significantly impacted by the image encoder, image resolution, and the number of image tokens used. The design of the vision-language connection, however, had a comparatively negligible impact. They also demonstrated that a careful mix of image caption, interleaved image-text, and Texton data is crucial for achieving state-of-the-art few-shot results across multiple benchmarks.
What is the Chain of Table developed by Google Research?
-Chain of Table is an iterative method developed by Google Research that constructs additional columns to a table, computed from other columns. This approach allows for better inference from tabular data, especially when the data requires intermediate steps or computations that cannot be easily achieved through a simple SQL query. It essentially builds intermediate tables to achieve a goal, providing more nuanced and accurate results.
Outlines
🚀 Open Release of GPT-3's Successor: Grock
The first paragraph discusses the open release of Grock, a large language model developed by Elon Musk's team. Grock has 314 billion parameters and is more quiippy and sarcastic in tone, reflecting Musk's approach to free speech. Despite its commercial success, the model is considered legitimate and has been made fully open-source under the Apache 2.0 license. The model's codebase is compact and well-received, with only 1,400 lines of code and a flat GitHub repository structure.
💡 Nvidia's GTC Conference and AI Advancements
The second paragraph focuses on Nvidia's GTC conference, where they announced new, powerful GPUs called Blackwell. These chips are twice as fast as the previous generation and introduce FP4 tensor cores, which use four bits for floating-point numbers. The announcement also covered Nvidia's advancements in humanoid robotics with the Groot Foundation model, designed for robot interactions, and their Omniverse platform for training. Additionally, Nvidia expressed support for the Robot Operating System (ROS), a common standard in robotics.
🌐 OpenAI API Exploration and Global AI Legislation
This paragraph delves into the exploration of OpenAI's API, with people brute-forcing to discover model names not openly advertised. A list of these models has been released, sparking interest in the AI community. The paragraph also touches on the European lawmakers passing the world's first major act to regulate AI, the AI Act, which is expected to enter into force after final checks and endorsements. The AI act has evolved over time, with adjustments made for research and open-source models.
🤖 Humanoid Robots and AI Integration in Industry
The fourth paragraph discusses the integration of AI and humanoid robots in various industries. It mentions AI's role in controlling systems for task execution and the potential of combining robotics with large language models and world models. The paragraph also highlights the piloting of humanoid robots by major industrial players like Mercedes in their factories, suggesting a shift towards more automated, low-skill labor. Additionally, it notes the non-binding recommendation by India for government approval of new AI deployments, which has since been retracted.
📈 AI Research and Development Updates
The final paragraph covers several updates in AI research and development. It talks about the potential of open-source text-to-video models, the discovery of bugs in GPT models affecting fine-tuning, and a research paper on decrypting encrypted traffic from large language models. The paragraph also mentions the release of Fuzztypes, a library for autocorrecting data from LLMs, and the support of AMD graphics cards by the AMA library. It concludes with Apple's investigation into scaling and training multimodal large language models, emphasizing the importance of data mix in training these models.
Mindmap
Keywords
💡Grock
💡Open Source
💡Nvidia GTC
💡FP4 Tensor Cores
💡Humanoid Robotics
💡Robot Operating System (ROS)
💡Open AI API
💡Inflection
💡AI Act
💡Multimodal Models
💡Chain of Thought
Highlights
Open release of Grock, a 314 billion parameter model developed by Elon's team.
Grock model is known for its quippy and sarcastic tone, 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.
Groot Foundation model aims to handle a variety of humanoid robot interactions by processing sensory data and translating it into actions.
Nvidia's Omniverse envisions training humanoid robots in a virtual reality environment, interacting with different terrains.
The announcement of general support for the Robot Operating System (ROS) by Nvidia, a widely used standard in robotics.
People are brute-forcing the OpenAI API to discover model names not openly advertised but accessible via the API.
Inflection, after raising $1.3 billion, is acquired by its biggest investor, Microsoft, leading to the formation of Microsoft AI.
The European lawmakers pass the AI Act, the world's first major legislation to regulate AI, expected to enter into force at the end of May.
AI has been integrated into a humanoid robot by Figure, showcasing its ability to understand and execute tasks.
Mercedes begins piloting optronic humanoid robots in their factories for low-skill work.
India retracts its non-binding recommendation for new AI deployments to be government approved, following criticism from entrepreneurs and investors.
Open Sora on GitHub, promoting open models, has gained almost 10,000 stars.
Daniel Henn finds that fine-tuning should be much better now as multiple bugs and inconsistencies in various implementations of Gemma have been discovered and fixed.
Research suggests that encrypted traffic from a large language model can give insight into the content, based on the size of the encrypted message.
Ian Mor releases Fuzz Types, a library to autocorrect data from LLMs.
AMA now supports AMD graphics cards, expanding its capabilities for running inference of generative language models.
Apple releases an investigation into scaling and training multimodal large language models, revealing the importance of data mix in training.
Laag connects internet browsing to large language models, enabling interactions with websites as if instructing a human.
Google Research releases Chain of Table, an iteration for inferring from tabular data by constructing additional computed columns.
Alphabet shares go up as Apple is in talks to license Gemini AI for iPhones.
Google introduces Stable Video 3D, a model that can create an orbital view from a single image.
Cohere announces Cohere Embed V3, supporting int 8 and binary embeddings for reduced memory usage and improved search quality.