Exploring OpenAI's GPT-4o Mini, text-to-video models like Hyper 1.5, YouTube Music upgrades. AI reasoning, export controls on AI tech to China, and internal issues at OpenAI. Plus, Elon Musk's supercomputer plans and Menlo Ventures partnership for AI startups.
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Quick takeaways
OpenAI released GPT-4o Mini and Mistral's models for affordability and performance improvement.
New enterprise tools for compliance and text-to-video models like Hyper 1.5 were discussed.
Research topics covered the benefits of small expert models and novel benchmarking techniques.
Policy issues included U.S. export controls on AI to China and internal controversies at OpenAI.
The podcast highlighted Elon Musk's supercomputer ambitions and OpenAI's Prover-Verify Games initiative.
Deep dives
Mistral Releases CodeStral Mamba for Code Generation
Mistral has unveiled CodeStral Mamba, a model optimized for code generation with three sizes: 130 million, 350 million, and 1.7 billion parameters, outperforming existing models in their size categories and open source under the Apache 2.0 license.
Mistral AI and NVIDIA Introduce Mistral NEMO 12b
Mistral AI and NVIDIA have collaborated to launch Mistral NEMO 12b, an enterprise AI model optimized for NVIDIA hardware, trained on NVIDIA DGX cloud AI platforms, and fully open source under the Apache 2.0 license with FP8 precision to reduce memory requirements.
Stable Diffusion faced criticism for its restrictive license agreement, leading to a ban on content related to it. They responded by updating the terms to grant free use for research, non-commercial, and limited commercial purposes, with free access for individuals and businesses under $1 million in annual revenue.
Hugging Face Unveils Small LLM Models with Improved Licensing
Hugging Face has introduced small LLM models with three sizes, optimized for local devices like laptops and phones, surpassing existing models in their categories. These fully open source models are trained on new datasets and offer improved licensing terms for usage.
Implications of Tech Building In-house for Large Businesses
Large businesses making over a million dollars may need to build tech in-house instead of commercial use. This move aims to ensure fair competition and maintain moral standards. A new optimization called Flash Attention 3 is being introduced for NVIDIA Hopper GPUs. The optimization allows for up to 75% GPU capacity usage, resulting in significant speed improvements.
New Optimization Techniques for AI Models
Flash Attention techniques focus on improving the speed of LLM inference by optimizing attention implementation. Flash Attention 3 brings new optimizations specifically for NVIDIA Hopper GPUs. With this upgrade, up to 75% of the GPU's maximum capacity can be utilized, resulting in 1.5 to 2 times speed improvement compared to previous versions.
Matrix Multiplications and Special Functions in Model Training
Training AI models involves a significant number of matrix multiplications. These computations form the majority of tasks in attention mechanisms and feedforward layers. Special functions like Softmax can become computational bottlenecks affecting training times. Techniques like Flash Attention aim to reduce data exchange between memory components to optimize performance, achieving significant speed enhancements.
Controversy Surrounding AI Oversight at OpenAI
Whistleblowers have raised concerns about OpenAI allegedly preventing staff from reporting safety risks to regulators. Agreements requiring employees to waive certain rights for whistleblower compensation and seek prior consent to disclose information are claimed to violate federal laws. These actions potentially hinder transparency and regulatory compliance in handling AI technology concerns.
US Planning Stricter Sanctions on China's Semiconductor Industry
The US government is considering imposing more stringent restrictions on China's semiconductor industry. Proposed measures include using the foreign direct product rule to pressure companies in Japan and the Netherlands to limit business with Chinese entities. These actions aim to enhance oversight in preventing technology transfers that could pose national security risks.
Google and Microsoft Offering Nvidia Chips to Chinese Companies through Cloud Services
Google and Microsoft are providing access to Nvidia chips to Chinese companies via cloud services deployed outside China. This circumvention of export controls aims to comply with US regulations while enabling Chinese firms to benefit from GPU technology. The approach underscores challenges in managing international technology transfers and ensuring regulatory compliance.
Our 175th episode with a summary and discussion of last week's big AI news!
With hosts Andrey Kurenkov (https://twitter.com/andrey_kurenkov) and Jeremie Harris (https://twitter.com/jeremiecharris)
In this episode of Last Week in AI, hosts Andrey Kurenkov and Jeremy Harris explore recent AI advancements including OpenAI's release of GPT 4.0 Mini and Mistral’s open-source models, covering their impacts on affordability and performance. They delve into enterprise tools for compliance, text-to-video models like Hyper 1.5, and YouTube Music enhancements. The conversation further addresses AI research topics such as the benefits of numerous small expert models, novel benchmarking techniques, and advanced AI reasoning. Policy issues including U.S. export controls on AI technology to China and internal controversies at OpenAI are also discussed, alongside Elon Musk's supercomputer ambitions and OpenAI’s Prover-Verify Games initiative.
