Apply to the ML for Alignment Bootcamp (MLAB) in Berkeley [Jan 3 - Jan 22]

post by Habryka, Buck · 2021-11-03T18:20:38.019Z · EA · GW · 7 comments

We (Redwood Research and Lightcone Infrastructure) are organizing a bootcamp to bring people interested in AI Alignment up-to-speed with the state of modern ML engineering. We expect to invite about 20 technically talented effective altruists for three weeks of intense learning to Berkeley, taught by engineers working at AI Alignment organizations. The curriculum is designed by Buck Shlegeris (Redwood) and Ned Ruggeri (App Academy Co-founder). We will cover all expenses. 

We aim to have a mixture of students, young professionals, and people who already have a professional track record in AI Alignment or EA, but want to brush up on their Machine Learning skills.

Dates are Jan 3 2022  - Jan 22 2022. Application deadline is November 15th. We will make application decisions on a rolling basis, but will aim to get back to everyone by November 22nd.

Apply here

AI-Generated image (VQGAN+CLIP) for prompt: "Machine Learning Engineering by Alex Hillkurtz", "aquarelle", "Tools", "Graphic Cards", "trending on artstation", "green on white color palette"

The curriculum is still in flux, but this list might give you a sense of the kinds of things we expect to cover (it’s fine if you don’t know all these terms):

We’re aware that people start school/other commitments at various points in January, and so are flexible about you attending whatever prefix of the bootcamp works for you. 

Logistics

The bootcamp takes place at Constellation, a shared office space in Berkeley for people working on long-termist projects. People from the following organizations often work from the space: MIRI, Redwood Research, Open Philanthropy, Lightcone Infrastructure, Paul Christiano’s Alignment Research Center and more.

As a participant, you’d attend communal lunches and events at Constellation and have a great opportunity to make friends and connections.

If you join the bootcamp, we’ll provide: 

You can find a full FAQ and more details in this Google Doc.

Apply here

7 comments

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comment by edwardhaigh · 2021-11-04T00:39:14.247Z · EA(p) · GW(p)

Have you thought of recording the sessions and putting them online afterwards? I'd be interested in watching, but couldn't apply (on a honeymoon in Tahoe, which is close enough to Berkeley, but I imagine my partner would kill me if I went missing each day to attend an ML bootcamp). 

Replies from: jacobjacob
comment by jacobjacob · 2021-11-05T02:36:20.449Z · EA(p) · GW(p)

Not addressing video recordings specifically; but we might run future iterations of this bootcamp if there's enough interest, it goes well and it continues to seem valuable. So feel free to submit the application form while noting you're only interested in future cohorts. 

comment by Frederik · 2021-11-04T07:48:48.226Z · EA(p) · GW(p)

Should I reapply if I already filled in the interest form earlier? I notice that the application form is slightly updated.

Replies from: Buck
comment by Buck · 2021-11-04T15:35:22.332Z · EA(p) · GW(p)

No, the previous application will work fine. Thanks for applying :)

comment by sudonym · 2021-11-14T22:50:47.778Z · EA(p) · GW(p)

Is there any sort of confirmation email sent after submitting the application? I've just submitted one, and didn't receive anything via email. Thanks!

Replies from: Habryka
comment by Habryka · 2021-11-15T05:23:24.871Z · EA(p) · GW(p)

Sorry, no confirmation email currently! Feel free to send me a PM with your real name, and I can confirm that your application went through (though if you saw the "Thank you" screen, I would be quite surprised if your application got lost)

comment by Laplace · 2021-11-05T09:30:59.111Z · EA(p) · GW(p)

If the curriculum is four weeks, why are the dates Jan 3 - Jan 19?