Zico Kolter
@zicokolter
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Professor and Head of Machine Learning Department at @CarnegieMellon. Board member @OpenAI. Chief Technical Advisor @GraySwanAI. Chief Expert @BoschGlobal.
Pittsburgh, PA
Joined March 2017
RT @Eric_Wallace_: Today we release gpt-oss-120b and gpt-oss-20b—two open-weight LLMs that deliver strong performance and agentic tool use.….
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RT @JoHeidecke: Open models can unlock huge benefits, and like any powerful technology, they carry misuse risks. Once the weights are relea….
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RT @OpenAI: Our open models are here. Both of them.
openai.com
Advanced open-weight reasoning models to customize for any use case and run anywhere.
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RT @aran_nayebi: 1/ Updated now with nearly tight lower bounds—i.e., proofs showing when alignment becomes intractable, even for ideal agen….
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RT @andyzou_jiaming: We deployed 44 AI agents and offered the internet $170K to attack them. 1.8M attempts, 62K breaches, including data l….
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RT @yidingjiang: A mental model I find useful: all data acquisition (web scrapes, synthetic data, RL rollouts, etc.) is really an explorati….
yidingjiang.github.io
This post explores the idea that the next breakthroughs in AI may hinge more on how we collect experience through exploration, and less on how many parameters and data points we have.
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RT @ZhengyangGeng: now the code is up here:
github.com
JAX implementation of MeanFlow. Contribute to Gsunshine/meanflow development by creating an account on GitHub.
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RT @maksym_andr: 🚨Excited to release OS-Harm! 🚨. The safety of computer use agents has been largely overlooked. We created a new safety b….
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RT @_vaishnavh: Wrote my first blog post! I wanted to share a powerful yet under-recognized way to develop emotional maturity as a research….
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RT @YixuanEvenXu: ✨ Did you know that NOT using all generated rollouts in GRPO can boost your reasoning LLM? Meet PODS! We down-sample roll….
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RT @haok1402: Introducing FLAME-MoE: a fully open platform for Mixture-of-Experts (MoE) research. All code, data, checkpoints, training log….
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RT @ZhengyangGeng: Excited to share our work with my amazing collaborators, @Goodeat258, @SimulatedAnneal, @zicokolter, and Kaiming. In a….
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RT @pratyushmaini: Excited to be talking today about how research into memorization provides a fundamentally different lens on safety!.
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RT @RuntianZhai: A shorter version of the first three chapters of my thesis is accepted by ICML 2025. It provides a quick start for those i….
arxiv.org
Despite the empirical success of foundation models, we do not have a systematic characterization of the representations that these models learn. In this paper, we establish the contexture theory....
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RT @pratyushmaini: Looking forward to giving a talk this Friday @OpenAI with @zhilifeng on some of our privacy & memorization research + ho….
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RT @electronickale: ✨ Love 4o-style image generation but prefer to use Midjourney? Tired of manual prompt crafting from inspo images?. PRIS….
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RT @_christinabaek: When we train models to do QA, are we robustly improving context dependency? No!. In our ICLR Oral (Fri 11 AM), we show….
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Excited about this work with @ashertrockman @yashsavani_ (and others) on antidistillation sampling. It uses a nifty trick to efficiently generate samples that makes student models _worse_ when you train on samples. I spoke about it at Simons this past week. Links below.
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