Welcome to The Nonlinear Library, where we use Text-to-Speech software to convert the best writing from the Rationalist and EA communities into audio. This is: Retrospective on the Summer 2021 AGI Safety Fundamentals, published by dewierwan on December 6, 2021 on The Effective Altruism Forum.
Thanks to Jamie Bernardi, Caleb Parikh, Neel Nanda, Isaac Dunn, Michael Chen and JJ Balisanyuka-Smith for feedback on drafts of this document. All mistakes are my own.
How to read this document
If you're short on time, I recommend reading the summary, background and impact assessment (in descending order of importance).
The rest of the document is most useful for individuals who are interested in running similar programmes, either for AI safety specifically, or for other cause areas / meta EA, or for people who are interested in participating or facilitating in the next round.
Summary
Overview
Over the Summer of 2021, EA Cambridge, alongside many collaborators, ran a virtual seminar programme on AGI safety.
It had 168 participants and 28 facilitators (from around the world - the majority were not based in the UK), and provided an overview of the AI safety (AIS) landscape and a space for participants to reflect upon the readings with others and experienced facilitators.
It consisted of an introduction to machine learning (ML); 7 weeks of 1.5-hour cohort discussions in groups of ~5 with a facilitator, with ~2-hours of reading on AIS per week; followed by an optional 4-week self-directed capstone project, finishing with a capstone project discussion.
This document provides some more background on the programme, feedback from participants and facilitators, mistakes we made, and some things we’ll be doing to improve the programme for the next iteration (taking place in early 2022).
I believe the main source of value this programme provided was:
Accountability and encouragement for AI safety-minded individuals to read through an excellently-curated curriculum on the topic.
Relationships and networks created via the cohort discussions, socials and 1-1s.
Accelerated people’s AIS careers by providing them with an outline of the space and where opportunities lie.
Increased the number of people in the EA community who have a broad understanding of AI risks, potentially contributing to improving individuals’ and the community’s cause prioritisation.
Information value on running a large cause-area-specific seminar programmes.
Further engagement
If you’d like to participate in the third round of the programme (Jan-March 2022), apply here.
There are two tracks: a technical AI alignment track for people from a maths/compsci background who are considering technical AI safety research, and an AI governance track for individuals considering a career in policy/governance.
If you already have a broad background in ML and AI technical safety or AI governance, please consider applying to facilitate here.
This is compensated with an optional £800 stipend.
Facilitators have the option to accept this stipend or donate it directly to EA Cam or EA Funds.
We want to ensure all individuals with the relevant expertise and knowledge have the opportunity to contribute to this programme, regardless of their financial situation.
We’re likely to be bottlenecked by facilitators with relevant expertise, so we would strongly appreciate your application!
If you’d like to run your own version of this programme at your local group/region, please fill in this form and we’ll send you our resources, how-to guides, and offer you a 1-1 and other forms of support.
Note that we will also be helping to organise local in-person cohorts via this global programme.
Why are we writing this post?
To be transparent about our activities and how we evaluate them as an EA meta org
To provide anyone who wants to learn more about this specific AI safety field-building effort an insight into how it came about, what took place, and how it went, as well as to gather feedback and suggestions from the...