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@blancheminerva
Ensuring that tech companies don't have a monopoly on being able to do research on cutting edge AI @AiEleuther. She/her
AI
A post claims frontier models OpenCode used for defense began refusing help when attack analysis triggered safety guardrails.
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In a reply, a commenter asks whether the discussion is about parameters and says they’re quadratic.
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A user warns that obvious policy responses to AI could harm journalists, scientists, indie developers and the public.
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A commenter calls the 'Alignment Faking' frame fake and says the paper leads to 'this type of stupidity.'
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A user objects to calling GLM's reasoning about how models trained on its outputs might influence it “terrifying.”
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A user contrasts the spreadsheet problems with others' claims that AI is massively accelerating their research.
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A user argues that posttraining consumes tasks rather than documents, leaving it without pretraining's internet commons.
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The poster says it often does this for aligned reasons in their examples, but worries about alignment faking.
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Yoshua Bengio says the letter asks AI and security communities to collaborate to protect critical infrastructure and digital systems.
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OpenAI says the feature uses your conversation and how you talk to Codex to suggest what to say next.
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Stella Biderman says she has told people for over a year that she doesn’t think working at OpenAI is moral.
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A commentator says they've told people considering AI industry jobs for over a year that working at OpenAI isn't moral.
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A researcher says the three wrote to OpenAI leadership and believes they were fired for prioritizing safety.
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A post argues that aligning general-purpose AI hinges on political choices about desirable values, not just model training.
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A writer argues that agnosticism could reinforce existing prejudices and deepen epistemic closure amid uncertainty about AI consciousness.
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Reflection says Beam uses 23B active parameters and plans to publish its full weights later in October 2026.
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Posts on X congratulated Nathan Lambert and Trillium Labs after a launch, with several users describing the effort as open, science-oriented or focused on open post-training. Lambert later said some criticism came from Substack and more general-audience AI followers, not the technical AI community.
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A user calls a quoted post “hilariously sussy” and says they doubt it’s true, though they hope it is.
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Its creator calls OBLITERATUS an abliteration framework and says it has over 8,000 GitHub stars and 1,500 forks. Another commenter describes it as a safeguard-removal library.
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A post alleges Claude enabled the US military to kill people and was used in cyberattacks. A reply asks what deliberate harm or hacking done with Claude is actually known.
