Blog - Jason Wei

Visiting San Francisco for the first time?

Sports are amazing environments to learn.

I recently got a Tesla, and using full self-driving has been a wake up call to just how many advantages AI has over humans.

Becoming an RL diehard in the past year and thinking about RL for most of my waking hours inadvertently taught me an important lesson about how to live my own life.

Asymmetry of verification is the idea that some tasks are much easier to verify than to solve.

A recent clarity that I gained is viewing AI research as a “max-performance domain”, which means that you can be world-class by being very good at only one part of your job.

There is a dopamine cycle in doing AI research that is pretty interesting.

Everybody uses evaluation benchmarks (“evals”), but I think they deserve more attention than they are currently getting.

An open question these days is why large language models work so well.

In early 2022 I realized that being a good researcher isn’t just about doing good research—it’s also about communicating ideas well and persuading others to engage with them.

This blog post doesn’t represent the positions of my employer (past, present, or future).

I’m not a particularly experienced researcher (despite my title being “Senior” Research Scientist), but I’ve worked with some talented collaborators and spent a fair amount of time thinking about how to do research, so I thought I might write about how I…

Doing research that is enjoyable is critical to producing outstanding work.

Emergent abilities are not present in small models but can be observed in large models.