Tim G. J. Rudner (@timrudner) 's Twitter Profile
Tim G. J. Rudner

@timrudner

Faculty Fellow at New York University.

Robust & transparent ML | Technical AI Governance.

Prev: PhD & Rhodes Scholar at University of Oxford.

ID: 4338555809

linkhttps://timrudner.com calendar_today01-12-2015 09:55:56

1,1K Tweet

2,2K Followers

801 Following

David Duvenaud (@davidduvenaud) 's Twitter Profile Photo

New paper: What happens once AIs make humans obsolete? Even without AIs seeking power, we argue that competitive pressures will fully erode human influence and values. gradual-disempowerment.ai with Jan Kulveit Raymond Douglas Nora Ammann Deger Turan David Krueger 🧵

New paper: What happens once AIs make humans obsolete?

Even without AIs seeking power, we argue that competitive pressures will fully erode human influence and values.

gradual-disempowerment.ai

with <a href="/jankulveit/">Jan Kulveit</a> <a href="/raymondadouglas/">Raymond Douglas</a> <a href="/AmmannNora/">Nora Ammann</a> <a href="/degerturann/">Deger Turan</a> <a href="/DavidSKrueger/">David Krueger</a> 🧵
Tim G. J. Rudner (@timrudner) 's Twitter Profile Photo

This is an excellent article! Steering foundation models towards trustworthy behaviors is one of the most important research directions today. Helen is a deep and rigorous thinker, and you should definitely subscribe to her Substack!

NYU Center for Data Science (@nyudatascience) 's Twitter Profile Photo

CDS Faculty Fellow Tim G. J. Rudner, with Mina Narayanan & Christian Schoeberl, analyzed AI explainability evals, finding a focus on system correctness over real-world effectiveness. They call for investments in the creation of standards for AI safety evaluations. cset.georgetown.edu/publication/pu…

Tim G. J. Rudner (@timrudner) 's Twitter Profile Photo

Make sure to get your tickets to #AABI2025 if you are in Singapore on April 29 (just after #ICLR2025) and interested in probabilistic ML, inference, and decision-making! Tickets (free but limited!): lu.ma/5syzr79m More info: approximateinference.org #ProbML #Bayes #UQ

Make sure to get your tickets to #AABI2025 if you are in Singapore on April 29 (just after #ICLR2025) and interested in probabilistic ML, inference, and decision-making!

Tickets (free but limited!): lu.ma/5syzr79m
More info: approximateinference.org

#ProbML #Bayes #UQ
Tim G. J. Rudner (@timrudner) 's Twitter Profile Photo

We just kicked off #AABI2025 at NTU Singapore in Singapore! We're livestreaming the talks here: timrudner.com/aabi2025! Schedule: approximateinference.org/schedule/ #ICLR2025 #ProbabilisticML

We just kicked off #AABI2025 at <a href="/NTUsg/">NTU Singapore</a> in Singapore!

We're livestreaming the talks here: timrudner.com/aabi2025!

Schedule: approximateinference.org/schedule/

#ICLR2025 #ProbabilisticML
Tim G. J. Rudner (@timrudner) 's Twitter Profile Photo

.Luhuan Wu is giving the second invited talk of the day at #AABI2025! **Bayesian Inference for Invariant Feature Discovery from Multi-Environment Data** Watch it on our livestream: timrudner.com/aabi2025!

.<a href="/hlws_bot/">Luhuan Wu</a> is giving the second invited talk of the day at #AABI2025!

**Bayesian Inference for Invariant Feature Discovery from Multi-Environment Data**

Watch it on our livestream: timrudner.com/aabi2025!
Tim G. J. Rudner (@timrudner) 's Twitter Profile Photo

We concluded #AABI2025 with a panel discussion on **The Role of Probabilistic Machine Learning in the Age of Foundation Models and Agentic AI** Thanks to Emtiyaz Khan, Luhuan Wu, and James Requeima for participating!

We concluded #AABI2025 with a panel discussion on

**The Role of Probabilistic Machine Learning in the Age of Foundation Models and Agentic AI**

Thanks to <a href="/EmtiyazKhan/">Emtiyaz Khan</a>, <a href="/hlws_bot/">Luhuan Wu</a>, and <a href="/jamesrequeima/">James Requeima</a> for participating!
Tim G. J. Rudner (@timrudner) 's Twitter Profile Photo

The result in this paper I'm most excited about: We showed that planning in world model latent space allows successful zero-shot generalization to *new* tasks! Project website: latent-planning.github.io Paper: arxiv.org/abs/2502.14819

The result in this paper I'm most excited about: 

We showed that planning in world model latent space allows successful zero-shot generalization to *new* tasks!

Project website: latent-planning.github.io

Paper: arxiv.org/abs/2502.14819
NYU Center for Data Science (@nyudatascience) 's Twitter Profile Photo

CDS Faculty Fellow Tim G. J. Rudner (Tim G. J. Rudner) and colleagues at CSET — Emelia Probasco, Helen Toner, and Matthew Burtell — examine responsible AI deployment in military decision-making. Read our post on their policy brief: nyudatascience.medium.com/ai-in-military…

Dan Roy (@roydanroy) 's Twitter Profile Photo

We REALLY REALLY need a "Findings" for NeurIPS, ICLR, and ICML. 25,000 submissions at this year's NeurIPS represents extreme excess pressure. It takes valuable time away from legitimate new research. One question is how to administer it. I suggest that Findings go through a

Taylor W. Killian (@tw_killian) 's Twitter Profile Photo

We are too at IFM (MBZUAI + LLM360) in support of our open-LLM (and RL *nudge*) efforts! Looking for all levels of Research Engineering and Science Check out our open roles here: jobs.lever.co/ifm-us

Helen Toner (@hlntnr) 's Twitter Profile Photo

💡Funding opportunity—share with your AI research networks💡 Internal deployments of frontier AI models are an underexplored source of risk. My program at CSET just opened a call for research ideas—EOIs due Jun 30. Full details ➡️ cset.georgetown.edu/wp-content/upl… Summary ⬇️

💡Funding opportunity—share with your AI research networks💡

Internal deployments of frontier AI models are an underexplored source of risk. My program at <a href="/CSETGeorgetown/">CSET</a> just opened a call for research ideas—EOIs due Jun 30.

Full details ➡️ cset.georgetown.edu/wp-content/upl…

Summary ⬇️
Kevin Patrick Murphy (@sirbayes) 's Twitter Profile Photo

I am pleased to announce a new version of my RL tutorial. Major update to the LLM chapter (eg DPO, GRPO, thinking), minor updates to the MARL and MBRL chapters and various sections (eg offline RL, DPG, etc). Enjoy! arxiv.org/abs/2412.05265

I am pleased to announce a new version of my RL tutorial. Major update to the LLM chapter (eg DPO, GRPO, thinking), minor updates to the MARL and MBRL chapters and various sections (eg offline RL, DPG, etc). Enjoy!
arxiv.org/abs/2412.05265