Tim G. J. Rudner

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Tim G. J. Rudner

Tim G. J. Rudner

@timrudner

Assistant Professor, @UofT Statistics & CS CIFAR AI Chair, @VectorInst AI Safety, Alignment, and Governance Prev: Rhodes Scholar, @UniofOxford, @Yale

Toronto + Oxford + New Haven Katılım Aralık 2015
955 Takip Edilen3K Takipçiler
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Tim G. J. Rudner
Tim G. J. Rudner@timrudner·
I'm so happy to share that I’ll be joining @UofT as an Assistant Professor of Statistical Sciences and Computer Science, with an appointment at the @VectorInst, in 2026! I'm recruiting postdocs and PhD students: timrudner.com! Please help me spread the word! 🧵(1/5)
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Diana Cai
Diana Cai@dianarycai·
I’m joining @Cornell as an Assistant Professor in Computer Science this fall! My group will work on probabilistic machine learning for scientific discovery. I’m recruiting PhD students to start in Fall 2027 -- and stay tuned for postdoc opportunities!
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Joshua Gans
Joshua Gans@joshgans·
There is lots of criticism of the wemustactnow.ai letter on AI to which I am a signatory to because of lack of specifics. You know why? As far as I know there has not been a single paper in regulatory economics on the details of regulating AI to counter potential risks.
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Keyon Vafa
Keyon Vafa@keyonV·
Thrilled to share I'll be joining UC Berkeley next year as an assistant professor in @UCBStatistics and affiliated with @Berkeley_EECS. My research will build methods to test/improve the implicit world models of AI systems, so that they reflect reality and human understanding.
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Dhruvesh Patel ✈️ ICML 2026
Dhruvesh Patel ✈️ ICML 2026@_dhruveshp·
We will be presenting our poster today at 4-5pm at the #SPIGM workshop at #ICML2026. If you are working on diffusion for text, either using discrete or continuous space approaches, you will find our results interested. Come chat with us. With @rozonoyer96703 and Jacopo Minniti.
Tim G. J. Rudner@timrudner

What if diffusion models could think ahead instead of being greedy at every step?🤔 We introduce: Learned Relay Representations for Forward-Thinking Discrete Diffusion Models

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Tim G. J. Rudner
Tim G. J. Rudner@timrudner·
A good resource for anyone working on agent harness optimization!
Lilian Weng@lilianweng

new post on harness engineering for AI self-improvement: lilianweng.github.io/posts/2026-07-… It is hard to forecast how much the future of RSI will rely on harnesses. Likely harness engineering will evolve in the direction of self-improvement and enable auto-research, and, in turn, smarter models keeps harnesses simple. Even when many harness improvement get eventually internalized into core model, the need to specify goals and context will not disappear.

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Michael L. Chen
Michael L. Chen@miclchen·
I've joined California state government! As AI Science Advisor at the Office of Emergency Services (Cal OES), I'm advising senior leadership on frontier AI safety: critical safety incidents, AI and cyber defense, and risk from developers' internal deployment of AI.
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Jiseon Kim @ ACL2026
Jiseon Kim @ ACL2026@jiseon_kim1·
At Vector, I'll be working with @timrudner at the @UofT. My research will focus on AI safety, alignment, and evaluation, with an emphasis on pluralistic values and reasoning in LLMs. ✨
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Jiseon Kim @ ACL2026
Jiseon Kim @ ACL2026@jiseon_kim1·
Life update 🎓 I just completed my PhD at KAIST, and this August I'm joining the @VectorInst as a Distinguished Postdoctoral Fellow! 🚀 Excited for this next chapter 🍁
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Peter Hase
Peter Hase@peterbhase·
Excited to share I'm joining Schmidt Sciences full time as a grantmaker! Now more than ever, we need scientific research on AI systems, not just new system cards. I'll keep an affiliation with StanfordNLP. There's no better way to keep up with research than to do some yourself!
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Amir Bar
Amir Bar@_amirbar·
A triple life update: 1. I recently moved from NYC to London 2. I’m starting a new lab at @imperialcollege 3. I’ve joined my friends and mentors at @amilabs as a founding Member of Technical Staff It's time to build 🏗️🧑‍🍳
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Thomas Woodside 🫜
Thomas Woodside 🫜@Thomas_Woodside·
Anthropic has published a new policy framework for frontier AI. I’m happy to see it! Importantly, it takes seriously the need to sometimes stop AI companies from taking actions that pose a substantial risk of catastrophic harm. There are also some areas where it could be improved.
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Mark Carney
Mark Carney@MarkJCarney·
AI already supports 150,000 jobs in Canada, and more than 800,000 people work across ourbroader digital economy. Our new strategy, AI for All, invests $350 million in Canadian AI institutions like @VectorInst, so that AI is developed here — safely, responsibly, and to benefit of all Canadians.
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Tim G. J. Rudner
Tim G. J. Rudner@timrudner·
Relay is architecture-agnostic, leaves inference decoding unchanged, and composes with block diffusion + KV caching. It's a simple drop-in for existing MDMs!
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Tim G. J. Rudner
Tim G. J. Rudner@timrudner·
Why does BPTT help? At the same threshold, Relay commits more cells per step while keeping the board legal: 74.8% fully-legal boards vs 70.7% without BPTT. We reach the same level of accuracy but in fewer steps (using more aggressive unmasking).
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Keşfet

@dianarycai @Cornell @keyonV @UCBStatistics @Berkeley_EECS @rozonoyer96703 @miclchen @jiseon_kim1