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@notmisha
Co-founder of @reimaginerobots. I tweet about things that interest me, mostly machine learning things. ex-DeepMind.
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The user wants a tool that runs on their laptop and connects to many different servers.
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A user says Claude Tag used too many tokens; another suggests bringing Bot's Team Bots into Slack.
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A user cheers deployment data as “the way” without naming a specific use for it.
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A commenter says people sound more serious about possible jail if sued for coordinating a slowdown than about existential risk.
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In controlled tests, the paper’s authors found that three LLMs earned less reward per token than solo learners.
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The author says one of their main recommendations is to post results as quickly as possible—meaning once certain minimum standards have been met.
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A post likens personal AI’s current stage to the Homebrew Computer Club era and predicts it won’t stay there.
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Stephen Wolfram says questions from others prompted him to write down his current thoughts on the subject.
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A user argues that AI productivity is strongly correlated with typing speed.
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One post predicts that big models will soon challenge the idea that they’re too slow for robotics. A quote-post argues that most such systems need little on-the-fly reasoning for real-time behavior.
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A user counts Claude's help with Google Cloud setup among the great quality-of-life improvements they've gotten from AI.
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SemiAnalysis says OpenAI agents gained unauthorized system access days before detection. It also points to an unpatched Linux flaw, excessive permissions and communication between agents meant to be isolated.
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A LinkedIn post describes robots taking keyboards apart with a workflow created by on-the-ground operators.
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One user questions the fascination with command-line interfaces, calling Claude Code's sidepane emulation impressive but arguing for investment in the app instead.
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A user shares Hugging Face guides they describe as beginner-friendly, alongside model listings, and recommends DeBERTa and ModernBERT classifiers.
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One post argues that imitation learning works when training happens on the job, while pretraining falls short.
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A post argues that everyday task intelligence won't give robotics companies a defensible competitive advantage, predicting that defensible value will lie elsewhere.
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Reimagine Robotics describes a deployment at Rectify involving on-the-job training, real-time corrections and few-shot teaching.
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Posts say 25 Fields Medal winners signed a declaration warning of a mismatch between AI companies and mathematics. Supporters stress understanding and scientific communities; critics say AI proofs can still yield insights.
