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@mathemagic1an
Head of AI @clickup. Tweets about AI, computing and their impacts on society. Previously founder @codegen / ML @palantir / startups. Not a pseudonym.
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The announcement says SpiderMonkey notifies agents of attention-worthy events.
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A post argues that direct pixel-space training has an advantage because even good simulators are costly and lossy.
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A user says they're investing heavily in sandboxes for artifact generation, data analysis and agent context management via code mode.
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A user shared the statement; another criticized people they said were attacking it while defending OpenAI.
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TestingCatalog says the update adds a more expressive model, image generation, connectors and computer use.
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A user compares post-argument AI chats to thinking up clever comebacks in the shower.
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A commenter says they’ve seen complaints and asks whether the arrangement follows “Responsible Release” guidelines.
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OpenAI says it drew on an independent mathematics advisory group’s advice about how to release the results.
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A user asks for an architecture that understands temporality and supports 'dreaming,' as well as one validated in production.
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Josh Albrecht compares fixed LLMs to books; critics say the analogy overlooks implementation and scientific uncertainty.
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A post describes giving an LLM latitude and longitude coordinates as text, then plotting its answers as an image.
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One post describes getting decision models by cutting out reasoning; a reply says a “type-safe” model could keep it.
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A post about the project claims a 65% score gain with the same compute on a 24-hour multi-repository agent-swarm task.
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API pricing is $2 per million input tokens and $10 per million output tokens. OpenAI reports near-Astra results on several coding and work evaluations.
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OpenAI says each Dot has its own cloud computer and can connect to over 4,000 apps. Every reports that an early tester’s Dot spotted a scheduling conflict, but also had permission problems and dropped messages.
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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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The announcement describes a small model based on Qwen2.5-0.5B, with a TypeSafe-compatible API, that can be trained and run on a MacBook Pro.
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A September 15 teaser leaves Mercury’s launch unnamed. One reply guesses it could be “agentic personal finance management.”
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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.
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Financial Times data shows limited corporate use of Anthropic's priciest model.
