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@shyamalanadkat
applied AI. prev: @openai @dukeu. now: something new in AI x science. explorer in the age of research 🇮🇳
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A post argues small teams could develop medicines, materials and energy technologies that now require entire research organizations.
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A user argues that architecture rewards talent, pretraining rewards capital, and post-training rewards expertise and feedback.
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A post recommends tackling problems that are fast and easy to verify, removing verification bottlenecks, and gathering data for problems that are hard to check.
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One reply puts it this way: “Looks different from the inside looking out.”
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Using the Unity plugin, a user asked Claude Code to make a game testing whether you could keep folding to make origami. They report needing a few workarounds.
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The post argues that more realistic tests often make answers harder to judge: real work involves deciding what problem to solve, which constraints matter and what a useful answer looks like.
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Prime Intellect researcher tags user with book recommendation in reply.
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AI researchers discuss the relevance of current model evaluation approaches on X.
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OpenAI repo provides conditional Lean formalization proving infinitely many prime pairs differ by at most 186.
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OpenAI presents its latest model with advanced computer use and coding features.
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Abacus.AI CEO Bindu Reddy posts her take on OpenAI model comparisons.
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OpenAI posts official page for new model GPT-6 Astra with details on capabilities.
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Google DeepMind VP Pushmeet Kohli posts on AI reaching a horizon with biology.
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Post on X tags him as Research Engineer due to background and identity.
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Research engineer shares details of a Bengaluru deep-tech founder residency program.
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Research engineer urges colleagues to raise design quality for Sol/Astra project artifacts.
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Research engineer notes verification limits even after AI predictions of new crystals.
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Discussion on X among AI engineers highlights building testing frameworks for AI systems.
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Retweet highlights a screenshot of a claim by Mithil Vakde on ARC-AGI-1.
