TL;DRi) ML4Good is an intensive eight-day technical AI safety bootcamp covering topics such as AI agents, alignment, model reasoning, evaluations, interpretability, and AI governance.ii) It provides useful information about fellowships, career opportunities, starting an AI safety startup, and the broader AI safety ecosystem.iii) I would encourage people interested in AI safety to apply, including those…

Cross-posted from Substack.Below, I’ve included 5 recommendations for hiring managers in AI Safety and 5 tips for candidates as they navigate their career search. I’ve also highlighted orgs I think are doing hiring particularly well (from a candidate’s perspective) and strategies to avoid.Note for Readers: I do not have a technical background, and have never…

SummarySynthetic document finetuning (SDF) — the state of the art for implanting false beliefs into LLMs — produces training documents with features that distinguish them from pretraining text.These features (i.e. synthetic markers) are partially responsible for making SDF false facts distinguishable from pretraining-acquired beliefs by linear probes on middle-layer activations.Reducing synthetic markers enables SDF to…

TL;DRIn Q2 2026, we ran the first MATS x Coefficient Giving (CG) Pitch Week: a four-week program designed to take fellowship researchers from an early idea to a funding decision. The program was a joint effort between MATS, CG, Constellation, and Catalyze Impact.38 expressions of interest; all were invited to a two-week Exploration Sprint. 17…

tl;drIf you are working in AI safety, while presenting information to interested non-AI safety or transitioning personnel, avoid portraying high values of p(doom) without sharing counterarguments. In addition, please give them time and point them towards emotional support so the unprecedented risk can be processed at their own pace. Encourage those transitioning and working in…