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AI news for Thursday, October 15

5 stories · 15 lab updates · 1 outage

What you need to know

5 stories

Running stories3

In brief7

  • OpenAIBringing GPT-Rosalind to academic research labs

    OpenAI launched a Rosalind Academic Plan on October 15, 2026, giving eligible US university labs up to 30 free ChatGPT Business seats for a year, with GPT-Rosalind access after trusted-access approval. openai.com →

  • GoogleAccelerating the search for antimicrobial peptides with Google Antigravity

    Google DeepMind used its Antigravity agent platform to hunt for antimicrobial peptides, and says a candidate from Streptococcus pseudopneumoniae is now in wet-lab validation. deepmind.google →

  • MistralNew model repo: mistralai/Timestral-5M

    Mistral's smallest Timestral forecasting model, at 5.21 million parameters, is on Hugging Face under a modified MIT license and predicts up to 1,024 time steps in one pass. huggingface.co →

  • MistralModel repo updated: mistralai/Timestral-28M

    Mistral's 28 million-parameter Timestral model, the second smallest of the four, forecasts up to 1,024 time steps at once and gives a range of 21 quantiles rather than a single guess. huggingface.co →

  • MistralNew model repo: mistralai/Timestral-123M

    Mistral's 123 million-parameter Timestral model, one size down from the largest, reads up to 32,768 past time steps of a series before it forecasts. huggingface.co →

2 more
  • MistralNew model repo: mistralai/Timestral-209M

    The largest Timestral model, at 209 million parameters, is on Hugging Face under a modified MIT license, and Mistral's card shows it with the best scores on the GIFT-Eval and TIME forecasting benchmarks. huggingface.co →

  • MistralIntroducing Timestral

    Mistral released Timestral on October 15, 2026, its first time-series forecasting models, in four sizes from 5 million to 209 million parameters that run on ordinary CPUs. mistral.ai →

From the labs' own feeds10

Releases 3

0.163.0Codex CLI+1 pre1.15.0Anthropic Python SDK2.1.301Claude Code

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