_jasonwei's profile picture. ai researcher @meta superintelligence labs, past: openai, google 🧠

Jason Wei

@_jasonwei

ai researcher @meta superintelligence labs, past: openai, google 🧠

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Kickstarting my career in comedy after all this AGI stuff is over. And yes, this was actually the first time Sam, Hyung Won, and Max heard the joke

And, a great dad joke.



Bullish, in the coming decades majority of compute will be spent on ai for science

Today, @ekindogus and I are excited to introduce @periodiclabs. Our goal is to create an AI scientist. Science works by conjecturing how the world might be, running experiments, and learning from the results. Intelligence is necessary, but not sufficient. New knowledge is…

LiamFedus's tweet image. Today, @ekindogus and I are excited to introduce @periodiclabs.

Our goal is to create an AI scientist.

Science works by conjecturing how the world might be, running experiments, and learning from the results.

Intelligence is necessary, but not sufficient. New knowledge is…


Jason Wei reposted

Excited to share that I recently joined the MSL team! Building personal superintelligence is serious and fun here. Join us!

After a great time at OpenAI, we (@EdwardSun0909, @_jasonwei) recently joined @Meta Superintelligence Labs. The first month has already been so much fun building from a clean slate with a truly talent-dense team! Very excited about the compute and long term focus of the new lab

hwchung27's tweet image. After a great time at OpenAI, we (@EdwardSun0909, @_jasonwei) recently joined @Meta Superintelligence Labs.

The first month has already been so much fun building from a clean slate with a truly talent-dense team! Very excited about the compute and long term focus of the new lab


Old friends, new lab

After a great time at OpenAI, we (@EdwardSun0909, @_jasonwei) recently joined @Meta Superintelligence Labs. The first month has already been so much fun building from a clean slate with a truly talent-dense team! Very excited about the compute and long term focus of the new lab

hwchung27's tweet image. After a great time at OpenAI, we (@EdwardSun0909, @_jasonwei) recently joined @Meta Superintelligence Labs.

The first month has already been so much fun building from a clean slate with a truly talent-dense team! Very excited about the compute and long term focus of the new lab


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. One of the big concepts in RL is that you always want to be “on-policy”: instead of mimicking other people’s…


New blog post about asymmetry of verification and "verifier's law": jasonwei.net/blog/asymmetry… Asymmetry of verification–the idea that some tasks are much easier to verify than to solve–is becoming an important idea as we have RL that finally works generally. Great examples of…

_jasonwei's tweet image. New blog post about asymmetry of verification and "verifier's law": jasonwei.net/blog/asymmetry…

Asymmetry of verification–the idea that some tasks are much easier to verify than to solve–is becoming an important idea as we have RL that finally works generally.

Great examples of…

Bryan Johnson longevity mix is the most popular drink at ragers in SF

_jasonwei's tweet image. Bryan Johnson longevity mix is the most popular drink at ragers in SF
_jasonwei's tweet image. Bryan Johnson longevity mix is the most popular drink at ragers in SF

We don’t have AI self-improves yet, and when we do it will be a game-changer. With more wisdom now compared to the GPT-4 days, it's obvious that it will not be a “fast takeoff”, but rather extremely gradual across many years, probably a decade. The first thing to know is that…


The most rewarding thing about working in the office on nights and weekends is not the actual work you get done, but the spontaneous conversations with other people who are always working. They’re the people who tend to do big things and will become your most successful friends


I would say that we are undoubtedly at AGI when AI can create a real, living unicorn. And no I don’t mean a $1B company you nerds, I mean a literal pink horse with a spiral horn. A paragon of scientific advancement in genetic engineering and cell programming. The stuff of…


The greatest contribution of human language is bootstrapping language model training


AI research is strange in that you spend a massive amount of compute on experiments to learn simple ideas that can be expressed in just a few sentences. Literally things like “training on A generalizes if you add B”, “X is a good way to design rewards”, or “the fact that method M…


My favorite thing an old OpenAI buddy of mine told me is, whenever he hears that someone is a “great AI researcher”, he just directly spends 5 minutes looking at that person‘s PRs and wandb runs. People can do all kinds of politics and optical shenanigans, but at the end of the…


One way of thinking about what AI will automate first is via the “description-execution gap”: how much harder is it to describe the task than to actually do it? Tasks with large description-execution gaps will be ripe for automation because it’s easy to create training data and…


RL environment specs are among the most consequential things we can write as AI researchers. A relatively short spec (e.g., <1000 words of instructions saying what problems to create and how to grade them) often gets expanded either by humans or via synthetic methods into…


It’s actually a good thing these days to have subtle grammar errors in your writing. It sprinkles on a clear human touch. You never want your reader questioning if what they’re reading was written or edited by chatgtp


Was attending a talk in a big lecture hall and the guy in front of me had the craziest conversation with ChatGPT for the whole hour about how to get his girlfriend back. Dozens of messages of pasting screenshots of text conversations to analyze tone of responses; whether to…


The 80-20 rule happens often in AI research, where you get 80% of the payoff from the first 20% of the effort. But there is often also an inverse rule, where it’s actually the final 20% of that yields 80% of the payout. Some examples: 1. When your eval is already good in many…


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