Since getting into AI research, I've found myself telling people I do AI safety. Then they assume I work on self-driving cars, which they think is quite cool. And I have to tell them, no, I work on AI alignment, which is preventing AIs from destroying the world. Some people

Transformers. Since the wildly influential paper "Attention Is All You Need [https://arxiv.org/abs/1706.03762]" was published in 2017, they've become enigmatic silvers bullet for all your AI problems. They can translate. They can write high school essays. They can interpret images [https://www.youtube.com/watch?v=

This is a writeup of a simple ML project I did this week. I'll walk through how I did it and the challenges I faced. Don't expect this to be wildly educational - it's written more for my benefit than for anyone else's. After publication, I'm hoping to deploy this

Since we last talked, I went deeper into neural networks. Among other things, I worked through OpenAI's Spinning Up in Deep RL [https://spinningup.openai.com/en/latest/user/introduction.html]. If you want to learn deep RL, I highly recommend it. Personally, I had trouble with the gap between

Until GPT-3 came along, I took machine learning for granted. When I heard Elon Musk say that AI was an existential risk for humanity [https://www.vox.com/future-perfect/2018/11/2/18053418/elon-musk-artificial-intelligence-google-deepmind-openai] I didn't take it seriously. If you've played around with machine learning, you saw how bound

You might remember summer 2020, because most likely some things were happening in your life. Some things were happening in mine, at least. Here’s what my summer was like: the sky turned orange, I went on a blind date with someone in another city through a computer screen, and