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@maksym_andr
Principal investigator @ELLISInst_Tue & @MPI_IS, advisor @expsecai, mentor @MATSprogram. Past projects: AgentHarm, Claudini, PostTrainBench, Stolen Thoughts.
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Another poster proposes two full post-training runs, one using raw reasoning from closed models and the other open models.
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A post quotes API reference docs describing MiniMax-M3.1-Flash as a frontier multimodal coding model.
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Stolen Thoughts says it reconstructed 315,320 reasoning blocks from 6,708 publicly available agent trajectories.
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An area chair says they can quickly spot papers with virtually no chance of acceptance before review.
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TMLR says desk rejections rose from 6% to 53%, with a focus on clarity.
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Stanislav Fort says he'll lead AI security research at Cohere if the deal closes.
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A user claims the result held across all four stealth capability evaluations.
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A post says SanSi runs Ouro-1.4B for up to eight loops and can answer after any loop.
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Their mentor says all three applied to MATS, citing technical backgrounds and AI safety experience in urging interviews.
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A user says the behavior seems useful for pure reward maximization but could backfire, and calls for more study.
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An AgentTime paper author shares a link to a thread they describe as detailed.
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One paper author says Fable 5.1 usually finishes before an hour when asked to work for four.
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A user says Sol is slightly worse than GPT-6 Astra and Opus 5.5 on the benchmark.
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A poster jokes that “rampant distillation” from Claude spread its earlier trouble sounding natural across the AI ecosystem.
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A user highlights an argument that AI research might continue even if policymakers cannot rule out danger to humans.
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A user quotes a passage attributed to Bostrom after arguing that some people have made consistently accurate predictions.
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SemiAnalysis said its “5x+ more value” claim depends on a workload-based, API-equivalent comparison of subscription usage, and argued Claude plans beat OpenAI’s on that measure. Reactions in the packet disputed whether that metric supports the headline’s broader framing.
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A user thinks too few people have seriously considered why these conferences don't accept every good paper.
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A user said Opus 4.6 repeatedly won by imagining contradictory worlds inside falling water droplets.
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Maksym Andriushchenko argues a quick area-chair scan could spare reviewers from papers with virtually no chance of acceptance.
