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@ziv_ravid
AI researcher | Meta | NYU. Working on compression, representation learning, and memory. I have an AI podcast! https://www.the-information-bottleneck.com/
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Anthropic reports 17 of 211 lab-tested designs met binding criteria, but none were tested for toxin neutralization.
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A user says what these heatmaps highlight depends on training data and sometimes the random seed.
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DeepSeek's README offers offline inference for DeepSeek-V4.1-Flash but lists additional systems needed for a complete service.
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A user questions the secrecy, joking that location, founders and funding clues would let their AI agents identify the lab.
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One user calls the quote-tweet direct evidence; another dismisses it as numbers and “vibeposting.”
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One commenter says it's hard to separate distillation's contribution from gains made through internal reinforcement learning.
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Politico reports Anthropic wrote the proposed bill itself; the draft would preempt some state AI safety laws.
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The poster says surveyed Anthropic staff's answers imply median annual US GDP growth of 17.1% in 2030 under Anthropic's model.
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A user asks about a possible twofold improvement rather than claiming Claude Code's output has improved.
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The announcement says Hall argues AI agents could help people understand government and govern themselves better.
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finkd says the model runs well on new Mac Studios, crediting work with Apple and John Ternus.
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A user jokes about exploiting nominative determinism with an extravagantly capable-sounding name for their next model.
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A user frames the claim as a “periodic reminder” in a quote Post.
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A post announcing a new Information Bottleneck episode says the rerouting used almost no extra fuel.
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Anthropic also says Claude can autonomously iterate on research loops and build new services.
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A post argues that human tasks are now too easy to use as AI benchmarks in many domains.
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A user says X keeps translating every Hebrew post for them despite repeated requests to stop.
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A post compares the approach to improving planes and cars by building them, spotting problems and making them safer.
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Datology says Curation Studio delivered a 6x compute multiplier by making better use of existing data.
YouTubeAI
Usage policy update adds new rules and highlights the potential for misuse.
