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@willdepue
dei ex machina prev @ openai (sora 1 & 2, posttraining o3/4o, pretraining moonshots)
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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 commenter says leaving for a competitor can bring a raise and an invitation to return.
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0x00B1's October 19 post tagged @ArfurGrok but did not mention a role at OpenAI.
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A user asks how models could learn to do this and points to a thread.
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A post says looping at a given noise level also reduces reliance on CFG.
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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 says a large AI company sent the reportedly dead GPUs to a recycler; they cite four failure points.
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Its creator says the net exactly matches JavaScript outputs, is fully differentiable and runs in a browser without a GPU.
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A user says it was their team's second-most-used model the week before October 13, 2026.
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A user invites people with unreleased frontier models to reach out, saying their token spending exceeds their rent.
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A user says multi-hour jobs keep stopping and claims to pay thousands a week for the product.
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A poster jokes about “it” getting as smart as a housecat while quoting an OpenAI post and tagging @ylecun.
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A user recalls the dataset’s October 2021 release and says all AIs at the time struggled with its problems.
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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 commenter says scarce data has “absurd and increasing value” as AI models reach narrow superintelligence.
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A user asks whom they should contact about Codex feature requests.
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A user recalls the premise as doing AI safety from second place: following the capability frontier to study safety there, rather than advancing it.
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A user would welcome a Tinker API for pretraining AI models, arguing that there is no good open-source pretraining stack, unlike for reinforcement learning.
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One user challenges what they see as effective altruists’ assumption that suffering is bad and bliss is good, suggesting hypothetical AI minds might instead embrace fate and pain.
