@natolambert
Open model research, founder, director @trillium_labs. Prev. co-led Olmo at Ai2. Writes @interconnectsai, wrote http://posttrainingbook.com
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Their post frequency and “shitpost rate” will likely decrease, scaling01 says; their views remain their own.
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OpenAI says the revision adds guidance on context, oversight and agency while retiring most of its detailed style guidance.
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A post says Carbon scored 88.2% on SEC-bench Pro and is rolling out first to cybersecurity specialists.
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Giotto's website lists its own Alto and Solo benchmark comparisons against other AI models.
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Nathan Lambert's slides distinguish open weights from open source and examine competition with proprietary models.
YouTube
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Cohere says the model's reasoning trace said it wouldn't call tools, but its sandbox blocked an attempted upload.
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Nathan Lambert says Interconnects is “on all platforms”; its podcast page lists Spotify, Apple Podcasts and YouTube.
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Tinker says async RL staleness and numerical mismatch can cause off-policy runs to suddenly collapse.
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In The Verge’s Decoder interview, Gates warned of job and cyber risks while stressing AI’s potential benefits.
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One user suggests the quoted wording could mean prison in Europe; another suspects Chinese labs will correct course.
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Artificial Analysis says Kimi K3.1 Pro scored 64% on its Cyber Index, up 23 points from Kimi K3.
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Kimi claims a 1-million-token context window for Pro and two to three times Pro's speed for Highspeed.
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Moonshot says both versions are live on Kimi.ai, Kimi Work, Kimi Code and its API.
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One commenter separates GPT-2 from today's AI; another says it's fair to count when discussing outside perceptions of 'doomer anxiety.'
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A post doubts the tech judgment of those who only cared after ChatGPT; a reply calls that “very unfair.”
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Its creator says it covers licenses, competitiveness, signs of use, distillation and the risks and benefits of openness.
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A post argues open-weight cyber models benefit defenders, citing progress finding bugs and the cost of comparable closed models.
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Clement Delangue says it omitted the lack of agent containment and monitoring and Hugging Face's open-model defense.
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A user estimates 42 GB200 NVL72 racks could suffice at what they call production throughput, using off-peak prices only.
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A user calculates the range assuming 97% cached input tokens and GPU rental costs of $3–$6 per hour.