AI news for builders and product teamsUpdated Oct 1, 2026, 07:00 UTC
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OpenAI released GPT-6 Astra last week, and AI researcher Sebastian Raschka reports it is the best model he has used, with strong math, coding, 3D rendering, and computer-use performance. The article also examines reports that Astra uses looped transformers and hides its reasoning traces.
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AlphaGenome Atlas maps the molecular effects of 9 billion single-letter DNA variants across the human genome.
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Mistral today announced that it has raised €3 billion in a Series D funding round at a post-money valuation of more than €21 billion.
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Plus, a machine hermeneutics story
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GitHub introduced Project HydraFusion, a research preview available on all GitHub Copilot plans through /experimental in GitHub Copilot CLI. It orchestrates models across providers at runtime, selecting among Single, Cascade, and Critique execution patterns based on task needs.
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GitHub published a beginner-focused post describing how its Copilot app lets developers run multiple agent sessions at once, each on its own Git worktree. The post walks through running three tasks in parallel in an example repository and includes a call to get started with the app.
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A MIT News feature profiles three IBM researchers—Srinivasan Arunachalam, Zhang-Wei Hong PhD ’25, and Irene Ko PhD ’24—who credit the MIT-IBM Computing Research Lab with helping translate theoretical work into industry applications in quantum machine learning, reinforcement learning, and trustworthy AI.
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MIT and Motional researchers developed the Concept-Wrapper Network (CW-Net), a method that translates a self-driving car's deep learning decisions into understandable concepts without altering driving performance. In private-track tests and simulation studies, CW-Net explanations helped safety drivers and nonexpert users better predict vehicle behavior. The research appears in Nature.
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The senior lecturer, already director of the degree program, will now oversee all aspects of the center’s activities and operations.
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The PhD student works to give young people an active role in shaping digital technologies that can support their own well-being.
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The Institute welcomes its first cohort of QMIT Fellows this fall to advance interdisciplinary quantum research.
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What if pathology foundation models could do more with less? GigaPath-Flash and GigaTIME-Flash cut computational demands while maintaining strong performance, opening the door to larger studies and broader exploration. The post GigaPath-Flash and GigaTIME-Flash: Toward population-scale discovery with efficient pathology foundation models appeared first on Microsoft Research .