This is a special post for quick takes by Ryan Kidd. Only they can create top-level comments. Comments here also appear on the Quick Takes page and All Posts page.
80% of MATS alumni who completed the program before 2025 are still working on AI safety today, based on a survey of all available alumni LinkedIns or personal websites (242/292 ~ 83%). 10% are working on AI capabilities, but only ~6 at a frontier AI company (2 at Anthropic, 2 at Google DeepMind, 1 at Mistral AI, 1 extrapolated). 2% are still studying, but not in a research degree focused on AI safety. The last 8% are doing miscellaneous things, including non-AI safety/capabilities software engineering, teaching, data science, consulting, and quantitative trading.
Of the 193+ MATS alumni working on AI safety (extrapolated: 234):
34% are working at a non-profit org (Apollo, Redwood, MATS, EleutherAI, FAR.AI, MIRI, ARC, Timaeus, LawZero, RAND, METR, etc.);
27% are working at a for-profit org (Anthropic, Google DeepMind, OpenAI, Goodfire, Meta, etc.);
18% are working as independent researchers, probably with grant funding from Open Philanthropy, LTFF, etc.;
15% are working as academic researchers, including PhDs/Postdocs at Oxford, Cambridge, MIT, ETH Zurich, UC Berkeley, etc.;
6% are working in government agencies, including in the US, UK, EU, and Singapore.
10% of MATS alumni co-founded an active AI safety start-up or team during or after the program, including Apollo Research, Timaeus, Simplex, ARENA, etc.
Errata: I mistakenly included UK AISI in the "non-profit AI safety organization" category instead of "government agency". I also mistakenly said that the ~6 alumni working on AI capabilities at frontier AI companies were all working on pre-training.
I'd like to see a breakdown by "years since doing MATS". What's the retention like, basically? Another breakdown I'd like to see, either for the displayed data or the years-since-MATS one - what's the split in AI safety between "(co)founded an org", "joined a new org", "joined an established org/(research/policy) group (technical vs governance)", and "on a grant, no real org", along with the existing "academic" (split by core academic/alt-academia?), "government" (which country?), and for-profit (maybe a breakdown of product type?). In any case, thanks for posting this!
What are some representative examples of the rest? I'm wondering if it's:
* AI wrappers like Cursor
* Model training for entirely mundane stuff like image gen at Stablediffusion
* Narrow AI like AlphaFold at Isomorphic
* An AGI-ish project but not LLMs, e.g. a company that just made AlphaGo type stuff
* General-purpose LLMs but not at a frontier lab (I would honestly count Mistral here)
4Ryan Kidd
Here are the AI capabilities organizations where MATS alumni are working (1 at each except for Anthropic and GDM, where there are 2 each):
* Anthropic
* Barcelona Supercomputing Cluster
* Conduit Intelligence
* Decart
* EliseAI
* Fractional AI
* General Agents
* Google DeepMind
* iGent AI
* Imbue
* Integuide
* Kayrros
* Mecha Health
* Mistral AI
* MultiOn
* Norm AI
* NVIDIA
* Palantir
* Phonic
* RunRL
* Salesforce
* Sandbar
* Secondmind
* Yantran
Alumni also work at these organizations, which might be classified as capabilities or safety-adjacent:
* Freestyle Research
* Leap Labs