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@tallinzen
Professor @nyuling and @NYUDataScience, research scientist @GoogleAI, inventor of the word "bertology"
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NYU's Center for Data Science focuses on physical sciences, chemistry, biology and research relevant to its Mind Brain Machines initiative.
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Across 20 models, 22 findings were classified as expired and 17 as weakened by September 2026.
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The v1.0 benchmark spans 11 domains and 206 tasks, with a score that averages performance across domains.
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Research On Research lists 20 submissions, including one whose table caption says to replace simulated values with experimental outputs.
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A post invites people finishing PhDs in ML, NLP, data science or related fields, touting independent research.
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Google DeepMind's expression-of-interest form describes a planned 24-week, in-person NYC project for PhD students starting in early 2027.
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A user says the figure comes from a talk they gave the previous day on studying introspection in LLMs.
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Arora shared defense slides titled “Causal Interpretability for Analysing and Improving Language Model Architectures.”
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One commentator says existential-risk framing can attract talent and coordinate research, even when a study’s connection to risk is indirect.
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A user mentions “harder things to RL on” and questions what would make Google “finally get serious.”
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A user pairs the joke about talk titles with a photo link.
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A user points to rising submissions in asking whether the conference should make such a substantial cut.
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A post describes a video as allegedly showing someone gaming peer review by submitting AI-generated papers in volume.
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A user says it seems good for more people to consider what they call a fundamental transformation in human history.
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A post describes “science again” as a common refrain at COLM, while questioning whether RL loss tweaks are better.
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A post argues advisors learn to track each student's project and next steps amid office visits every 30–60 minutes.
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A post describes Brown's remarks as “insightful.”
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A user suggests the voice for “maximum comedic effect,” sharing links to Scott Aaronson’s blog and a photo.
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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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A contributor said Carter would present it at 4 p.m. on October 7 and later shared a paper link.
