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Laurence Aitchison

@laurenceai.bsky.social
230 followers 496 following 5 posts

Lecturer at the University of Bristol. probabilistic ML, optimisation, interpretability, LLM evals.

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Reposted by Laurence Aitchison
Desi R Ivanova @desirivanova.bsky.social · 06/03/2025
Our paper on the best way to add error bars to LLM evals is on arXiv! TL;DR: Avoid the Central Limit Theorem -- there are better, simple Bayesian and frequentist methods you should be using instead. We also provide a super lightweight library: github.com/sambowyer/baye… 🧵👇
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Reposted by Laurence Aitchison
Desi R Ivanova @desirivanova.bsky.social · 06/03/2025
Go read it on arXiv! Thanks to my co-authors @sambowyer.bsky.social and @laurenceai.bsky.social 💥
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Reposted by Laurence Aitchison
Desi R Ivanova @desirivanova.bsky.social · 12/02/2025
📣 Jobs alert We’re hiring postdoc and research engineer to work on UQ for LLMs!! Details ⬇️ #ai #llm #uq
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Reposted by Laurence Aitchison
Laura @lauraruis.bsky.social · 27/11/2024
Do you know what rating you’ll give after reading the intro? Are your confidence scores 4 or higher? Do you not respond in rebuttal phases? Are you worried how it will look if your rating is the only 8 among 3’s? This thread is for you.
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Laurence Aitchison @laurenceai.bsky.social · 27/11/2024
Does anyone want to collaborate on an ICML position paper on "The impossibility of mathematically proving AI safety"? The basic thesis being that it is a category error to try to prove AI safety in the real world. (1/3)
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