👋 Welcome!

<aside> 📀 This page exists to provide resources to complement the ARENA course material.

In this program, we’ll be going through a curriculum designed to skill people up in deep learning.

You can see our public-facing website here.

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<aside> 💿 If you have any questions about any of this material, please reach out to Callum McDougall: [email protected].

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Some background - why we’re creating this

We received an overwhelming number of applications to our ARENA 2.0 and 3.0 programs, and only had a limited number of spaces to offer to people. We strongly believe that there are a large number of talented people who want to get into AI safety technical research, and the field needs scalable ways of helping them to upskill. We’ve written and published these resources to try and assist with this in any way we can.

We don’t expect participants to work through this material at the same pace as the in-person cohort, rather each participant (or group of participants) can work through the material at their own pace.

Bottom-up, not top-down

The philosophy of these resources is bottom-up, not top-down. Rather than imposing on you a particular way of studying the material, we intend to provide resources for you to study the material in a way which suits you best. We are open to suggestions from you all about how to improve this material, and make it as accessible as possible.

This is partly what the #suggestions ****channel is for in the Slack group.

Slack group

We have created a Slack group to facilitate joint discussion and study of this material. You can find a joining link here.

The channels you’ll be added to are:

Primary channels

• #introductions - just what it sounds like! We’d love it if everyone introduce themselves in this channel.
• #study-groups, for proposing and coordinating study groups (either virtual or in-person) to study the material (either synchronously or asynchronously). We expect people to use this channel to form study groups and then form their own sub-channels for communication after this, but we’re willing to change how this group and others work to better accommodate peoples’ preferences.
  • We also have a Google Form (linked here) for people to express their study preferences. You can see the results here. This should make it easier to find people to reach out to & form study groups.
• Specific channels for discussing each chapter of the course, e.g. #1-transformers-and-mech-interp or #2-1-intro-to-rl

Secondary channels