iiinova — where your digital self keeps evolving

Peter Hase @peterbhase.bsky.social · 14/07/2025

Overdue job update — I am now: - A Visiting Scientist at @schmidtsciences.bsky.social, supporting AI safety & interpretability - A Visiting Researcher at Stanford NLP Group, working with @cgpotts.bsky.social So grateful to keep working in this fascinating area—and to start supporting others too :)

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Peter Hase @peterbhase.bsky.social · 19/05/2025

Are p-values missing in AI research? Bootstrapping makes model comparisons easy! Here's a new blog/colab with code for: - Bootstrapped p-values and confidence intervals - Combining variance from BOTH sample size and random seed (eg prompts) - Handling grouped test data Link ⬇️

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Vaidehi Patil @vaidehipatil.bsky.social · 07/05/2025

🚨 Introducing our @tmlrorg.bsky.social paper “Unlearning Sensitive Information in Multimodal LLMs: Benchmark and Attack-Defense Evaluation” We present UnLOK-VQA, a benchmark to evaluate unlearning in vision-and-language models, where both images and text may encode sensitive or private information.

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Geoffrey Irving @girving.bsky.social · 05/03/2025

AISI has a new grant program for funding academic and nonprofit-affiliated research in (1) safeguards to mitigate misuse risk and (2) AI control and alignment to mitigate loss of control risk. Please apply! 🧵 www.aisi.gov.uk/grants

aisi.gov.uk

Grants | The AI Security Institute (AISI)

View AISI grants. The AI Security Institute is a directorate of the Department of Science, Innovation, and Technology that facilitates rigorous research to enable advanced AI governance.

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Elias Stengel-Eskin @esteng.bsky.social · 23/01/2025

🎉Very excited that our work on Persuasion-Balanced Training has been accepted to #NAACL2025! We introduce a multi-agent tree-based method for teaching models to balance: 1️⃣ Accepting persuasion when it helps 2️⃣ Resisting persuasion when it hurts (e.g. misinformation) arxiv.org/abs/2410.14596 🧵 1/4

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Peter Hase @peterbhase.bsky.social · 11/01/2025

Anthropic Alignment Science is sharing a list of research directions we are interested in seeing more work on! Blog post below 👇

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Sam Bowman @sleepinyourhat.bsky.social · 18/12/2024

New work from my team at Anthropic in collaboration with Redwood Research. I think this is plausibly the most important AGI safety result of the year. Cross-posting the thread below:

Title card: Alignment Faking in Large Language Models by Greenblatt et al.

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ACL 2027 @aclmeeting.bsky.social · 16/12/2024

We invite nominations to join the ACL2025 PC as reviewer or area chair(AC). Review process through ARR Feb cycle. Tentative timeline: Review 1-20 Mar 2025, Rebuttal is 26-31 Mar 2025. ACs must be available throughout the Feb cycle. Nominations by 20 Dec 2024: shorturl.at/TaUh9 #NLProc #ACL2025NLP

forms.gle

Volunteer to join ACL 2025 Programme Committee

Use this form to express your interest in joining the ACL 2025 programme committee as a reviewer or area chair (AC). The review period is 1st to 20th of March 2025. ACs need to be available for variou...

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Peter Hase @peterbhase.bsky.social · 10/12/2024

Recruiting reviewers + ACs for ACL 2025 in Interpretability and Analysis of NLP Models - DM me if you are interested in emergency reviewer/AC roles for March 18th to 26th - Self-nominate for positions here (review period is March 1 through March 20): docs.google.com/forms/d/e/1F...

docs.google.com

Volunteer to join ACL 2025 Programme Committee

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Serena Booth @reniebird.bsky.social · 07/12/2024

I'm hiring PhD students at Brown CS! If you're interested in human-robot or AI interaction, human-centered reinforcement learning, and/or AI policy, please apply. Or get your students to apply :). Deadline Dec 15, link: cs.brown.edu/degrees/doct.... Research statement on my website, www.slbooth.com

cs.brown.edu

Brown CS: Applying To Our Doctoral Program

We expect strong results from our applicants in the following:

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Peter Hase @peterbhase.bsky.social · 06/12/2024

I will be at NeurIPS next week! You can find me at the Wed 11am poster session, Hall A-C #4503, talking about linguistic calibration of LLMs via multi-agent communication games.

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