@niloofar_mire
Technical staff @humansand, asst. prof @LTIatCMU @CMU_EPP, ex RS in @AIatMeta, postdoc @uwcse, Ph.D. @ucsd_cse, former @MSFTResearch -- NAACL & ACL pr chair
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CoLab will work on pretraining, agents and evaluation through community research, its founder says.
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Its reported matched-compute comparisons favor Locus over selected baselines and AI agents, with detail on property prediction.
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Unlike models with fixed tokenizers, H-Net learns to group raw bytes within the model, Cartesia says.
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Maarten Sap says Akhila Yerukola led XYBench, which examines whether language models respond pragmatically to queries with misconceptions.
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Thom Wolf describes an open collection of more than 120 publicly reported AI-model misbehavior incidents.
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A user quotes a “neolab” friend saying it could resell compute even if it fails to train the best model.
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A user describes Boba as curious, playful and imaginative, and Instinct as precise, self-auditing and dryly funny.
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Huang and coauthors argue that smaller models allocate neurons to frequent or simple tasks, struggling with rare, complex ones.
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A collaborator says working on Boba’s safety and privacy was a pleasure and praises colleagues’ meticulous approach.
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humans& says its Ampersand model powers Boba, which it pitches for reminders, group planning and web research.
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OpenAI says the role includes developing privacy-preserving algorithms and testing models for data leaks.
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The speaker says she'll discuss CMU research on long-horizon agentic tasks involving privacy and chemistry.
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Humans& says developers can access the model through its Agents API without joining a waitlist.
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In a reply, a commenter suggests discussing deception alongside loss of monitorability and recommends a paper on monitoring.
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Arora shared defense slides titled “Causal Interpretability for Analysing and Improving Language Model Architectures.”
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A researcher says the work examined 13 models using identical requests for flights, insurance and grad programs.
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CMU’s Language Technologies Institute says Asai and Fried join robotics colleague Bajcsy in receiving the Schmidt Sciences honor.
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A user praises agentic software for improving experimental instrumentation and data analysis, saying an example looks to involve sensor fusion.
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A post announcing the event lists five speakers and a 13:25 panel moderated by Niloofar Mire.
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A post invites readers to hear @niloofar_mire’s paper at 10:15 and teases an upcoming SOTA TV conversation.