This summer, four more ML4Good bootcamps are coming to Europe!
Please apply to attend if you're interested using this link.
Join one of our 8-day, fully paid-for, in-person training bootcamps to build your career in AI safety, and become part of our wonderful alumni community!
Our alumni meetup at EAG London 2026
Our programmes support individuals from various backgrounds who want to work on reducing catastrophic and existential AI risk.
Each bootcamp is a residential, full-time programme, and is divided into two tracks:
Technical Track: For people with some technical background who are interested in moving into roles that require some technical AI Safety expertise.
Governance & Strategy Track: For people looking to contribute to AI safety through policy, governance, strategy, operations, media, or field-building.
We're really proud to say that some of our alumni have gone on to roles at leading AIS organisations including the UK AI Safety Institute, the European Commission, MATS, CeSIA, Safer AI and the Future of Life Institute.
Logistics
It's free to attend: tuition, accommodation, and meals are provided.
Participants cover travel costs (some financial support within the target region is available in cases of need)
Camps are all taught in English
Cohorts of ~20 participants
Dates
Technical track:
UK: 2nd - 10th September
France: 26th September - 4th October
Governance & Strategy track:
France: 14th - 22nd September
France: 19th - 27th October
Note: We also expect to add an East Asia date in the coming week, so if you're based in Asia and excited about ML4Good, please bookmark us.
Application deadline: 1st July 2026, 23:59 Anywhere on Earth
Are motivated about making an impact in AI Safety. Some of our best applicants have been early-career researchers, engineers, policy and governance professionals, and ambitious generalists
Have taken a first step into AI Safety, like completing a BlueDot or University course, attending events with a local Uni group, or reading extensively on the topic
Are looking to accelerate your next step towards a fellowship, a job, or an ambitious AI Safety project
Are based in or around the world region in which the bootcamp is held. For Europe/UK bootcamps we welcome people from all over Europe!
Other ways you can help
Please refer great people: if you know people who might be strong candidates for either the technical or governance & strategy track, please refer them through this link, or by sending them to our website
Post a short blurb on your Slack or Discord channels
Apply to teach at an ML4Good bootcamp: This is a great way for people working in AI Safety to mix up their routine and enjoy 8 days away from their day-to-day
Epistemic status: Speculation from two decently informed advocates armed with anecdata.
Note on process: After having some version of this conversation several times and saying, “we should probably write about this publicly,” we took the less heroic route: we recorded one of our conversations, fed the transcript into an LLM, and then substantially revised the structure, substance, and framing ourselves. We will not be sharing the transcript, as it is in...
I want to start by noting that I am amazed and somewhat in awe of what's been accomplished by the EA animal welfare movement. I am enthusiastically supportive of all campaigns that make living and dying conditions less bad for farmed animals.
I worked on such campaigns for almost 20 years, and I'm proud of that work.
That said, I do think it's a strategic error that the EA animal movement has so thoroughly moved on from advocacy for animal liberation and diet change.&n...
The swarm has made me feel AI risk in my bones for the first time
Until the Hugging Face / OpenAI swarm thing, I think I deep down felt pretty skeptical that extinction or serious loss of control scenarios were plausible in the next few years.
I’ve been lurking on LessWrong for years, and I remember being freaked out by Yudkowsky’s ‘List of Lethalities’ in 2022, and thinking that this did seem intellectually convincing, and maybe I should do something about it. But it didn...