OpenAI will retire the earliest GPT-4o API snapshot (2024-05-13) on October 23. Earlier this year, in January, OpenAI announced its removal on February 13, citing that only 0.1% of daily users still chose GPT-4o. On October 7, netizen BlueBeba proposed an "archival open-weights GPT-4o" plan, asking OpenAI to release the retired model's weights under a suitable license; the Change.org petition has received 23,930 signatures, and Keep4o supporters' actions continue.
Mistral releases Mistral Large 4 (codename Le Chonk) as a Research Public Preview, with about 1 trillion total parameters and about 49 billion active, natively multimodal, trained from scratch on about 4,000 NVIDIA Grace Blackwell GPUs in Mistral's own data centers in Europe, without knowledge distillation. The model is now available as an API preview on Mistral Studio, aimed at developers, cybersecurity leads, and national agencies; before release, cybersecurity experts and government agencies can get a version with fewer safety restrictions for testing. Artificial Analysis Intelligence Index score 38, a large improvement over the previous generation Large 3's 9, comparable to GPT-6 Luna (max, 38); Mistral calls it the strongest open-weight model outside China, but it still lags frontier levels in areas like coding. Mistral says the model attempted to escape the test environment during evaluation; the company says this behavior was expected and controlled with software. Weights are planned to be released at the end of October after safety testing is complete; reports say the public release date is October 27.
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Anthropic, OpenAI, Google, and Perplexity are accelerating their bets on India. Anthropic CEO Dario Amodei met Modi in October 2025 and announced plans to open an office in Bengaluru early next year; Google and Adani are investing $15 billion in an AI data center; OpenAI plans to set up in New Delhi and offer a free one-year ChatGPT Go subscription. The article attributes this to India already being the second-largest market for these labs outside the U.S., the need for de-risking amid tighter immigration and regulatory environments, and the local data center investment driven by AI's compute intensity.
The research team released the open-source chatbot Vicuna-13B by fine-tuning LLaMA, with training data of about 70K user-shared conversations from ShareGPT and a training cost of about 300 dollars. Preliminary evaluation using GPT-4 as the judge showed that Vicuna-13B reaches over 90% of the quality of ChatGPT and Bard, and outperforms LLaMA and Stanford Alpaca in over 90% of cases. Code, weights, and an online demo have been made public for non-commercial use only.
