Neural reverse engineer. Author. Adjunct prof at Stanford. Previous: Meta Reality Labs, Google Brain Milton Hershey Alum.

Portola Valley, CA, USA
Honored to share my story of growing up in group homes, and my work in neuroscience, on Armchair Expert!! @ArmchairExpPod
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David Sussillo retweeted
Nice interview of my former colleague @SussilloDavid on the complicated relationship between AI and neuroscience: thetransmitter.org/artificia… Whether studying neuroscience helps AI or not, it'd be really cool for humanity to understand how the brain works!
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David Sussillo retweeted
I have a lot of respect for @nickcammarata and Goodfire, but I will add some thoughts from brains/neuroscience. First, polysemanticity and distributed representations are ~widely~ seen in biological brains. (In some ways this is what I have spent my career on.) 1/
interpretability might be the most important scientific problem in the world right now, as I don't think we can solve alignment if we don't know what we're building. I think I have good news about it. I co-authored early work in mechanistic interpretability at OpenAI and came away pessimistic, because neural networks appeared to fold into arbitrary tangled knots. years later, I started openai's first large-scale automated interpretability project, finding about 2% of neurons legible with the primitive tools we had with modern agentic tools and a much closer look, the picture looks totally different. the vast majority in models up to trillions of parameters are legible, and their circuits beautiful. many famous examples of tangled neurons turned out to be misunderstood. The roadblocks I expected mostly aren't there. I now think ambitious interpretability will be solved by the time we need it most, and possibly quite soon, as automated scientists keep improving. it may be a bitter lesson for interpretability: the simple thing, at absurd scale, works already-clean.goodfire.com/
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With Neuralink, Audrey is creating art with her mind.
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The Transmitter’s summer reading list highlights upcoming neuroscience books and other notable titles from this year—with books by Romain Brette, Susana Carmona, @markdhumphries, @SussilloDavid and more. By @FrankieRivera25 thetransmitter.org/reviews/f…
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Six months on, and Emergence is still Noteworthy at SFO. 😃
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wake up babe, new neurosymbolic harness just dropped
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we’ve dramatically reduced the time between: “i have a million dollar idea” and “actually never mind” a devastating development for uncles everywhere
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Many thanks, @jeffreyseely. I'm honored. 🙏🙏🙏
Wow. Finished reading Emergence this weekend -- the memoir of @SussilloDavid. I could do a long tweet thread about all the ways in which I loved reading this. But I'll just say that I recommend this book, like really really recommend.
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Fable must be step-function improvement because it's kinda talking down to me. I'm getting distinct "try to keep up meatsack" vibes.
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Deeply honored, @blaiseaguera. Thank you for engaging with my story and highlight my work. 🙏
Replying to @blaiseaguera
It’s moving and remarkable; there are clear parallels with @tarawestover’s hit memoir, “Educated,” which similarly exposes the deep fault lines of social class and poverty in the US. And like Westover, Sussillo can sure write. You will have a hard time putting this one down.
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My 4 book picks this month from some incredible authors 🧵↓ - @SussilloDavid - @stewartbrand - Henry Farrell and @ANewman_forward - @kkariko
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Want a free copy of my new memoir, Emergence? Of course you do. :) 25 signed hardcovers up for grabs on Goodreads. It takes about ten seconds to enter. Good luck! 🤞 tinyurl.com/EmergenceGiveawa…
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David Sussillo retweeted
In systems neuroscience, this is simply not the case. Paradigms are challenged and updated all the time.
Some branches of neuroscience (and science in general) are unlikely to see real progress for a long time. This stagnation stems from an academic echo chamber that very effectively silences dissent. young researchers introducing new ideas are often marginalized or driven out before they can establish themselves. There must be quite a few of these people who left academia this way and are now working in industry. The current institutional framework simply won't fund or validate anyone bold enough to challenge entrenched ideas. It's a conformist paradise gated by tenure. BTW these stagnant areas tend to have dominant senior people who have never been wrong and shall remain "authorities" forever.
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This manager-to-IC weirdness will go down as an obvious and dumb mistake when we look back at the initial AI disruption.
Why does everybody want managers to be ICs? Please someone explain this to me from first principles.
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