Into AI Safety

This episode kicks off our first subseries, which will consist of recordings taken during my team's meetings for the AlignmentJams Evals Hackathon in November of 2023. Our team won first place, so you'll be listening to the process which, at the end of the day, turned out to be pretty good. Check out Apart Research , the group that runs the AlignmentJamz Hackathons . Links to all articles/papers w...

In this minisode I give some tips for staying up-to-date in the everchanging landscape of AI. I would like to point out that I am constantly iterating on these strategies, tools, and sources, so it is likely that I will make an update episode in the future. Links to all articles/papers which are mentioned throughout the episode can be found below, in order of their appearance. Tools Feedly arXiv S...

Alice Rigg, a mechanistic interpretability researcher from Ottawa, Canada, joins me to discuss their path and the applications process for research/mentorship programs. Join the Mech Interp Discord server and attend reading groups at 11:00am on Wednesdays (Mountain Time)! Check out Alice's website . Links to all articles/papers which are mentioned throughout the episode can be found below, in orde...

We're back after a month-long hiatus with a podcast refactor and advice on the applications process for research/mentorship programs. Check out the About page on the Into AI Safety website for a summary of the logistics updates. Links to all articles/papers which are mentioned throughout the episode can be found below, in order of their appearance.  MATS ASTRA Fellowship ARENA AI Safety Camp BlueD...

This episode is a brief overview of the major takeaways I had from attending EAG Boston 2023, and an update on my plans for the podcast moving forward. TL;DL Starting in early December (2023), I will be uploading episodes on a biweekly basis (day TBD). I won't be releasing another episode until then, so that I can build a cache of episodes up. During this month (November 2023), I'll also try to ge...

In this episode I discuss my initial research proposal for the 2024 Winter AI Safety Camp with one of the individuals who helps facilitate the program, Remmelt Ellen. The proposal is titled The Effect of Machine Learning on Bioengineered Pandemic Risk. A doc-capsule of the proposal at the time of this recording can be found at this link . Links to all articles/papers which are mentioned throughout...

Welcome to the Into AI Safety podcast! In this episode I provide reasoning for why I am starting this podcast, what I am trying to accomplish with it, and a little bit of background on how I got here. Please email all inquiries and suggestions to intoaisafety@gmail.com.