Neurons, proteins, genes, math, puns and rhymes. I lick the world to see what it's made of. Molecular neuroscience @MIT

Joined July 2021
New paper! We usually think of neurons as the brain’s computational nodes, but zooming in, each synapse is its own analog computer, integrating activity history, neuromodulators and genetic events to decide whether to strengthen or weaken a connection. 1/9 cell.com/cell-reports/fullte…
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What if the risk from AI is not extinction, but "merely" catastrophic, like a pandemic or war? In that case you really want to be lucky, and that means seeing the smoke and being light on your feet. Here is my public prediction and prep for AI catastrophe:
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There may be plenty of physical impacts too, as these agents activate both humans and control systems. But I think those will be much rarer, plus not much we can do to prepare for the draught of Osiris
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We will either weather the wrath of the gods as the world rearranges, or at least leave behind a richer meatspace
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AI alignment being the front-"page" story of YNET, one of Israel's main news websites is quite the vibe shift
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Happy 250th to the country where pubs don't last more than a generation because their kids have better prospects than owning a pub
So America turns 250. That's cute. My local pub is 364 years old.
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Beny Falkovich retweeted
Baby has gotten good at identifying “dada” but still struggling with surrealism, cubism, even baroque.
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Is this the world's first arrest/indictment around insider trading on prediction markets?
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I will not free the bugs I will not tap the pods I will not read the hugs I will not toe the gods Nor taunt the rooms, alas Or go and touch the signs I will not eat the grass Or live within the lines
I will not live with bugs I will not eat the pods I will not tap the post
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The best AI Scientist should not have read a single paper. Papers are a tiny kernel of experiment->outcome reality surrounded by a cloud of fluff by and for humans. I want a foundation model that predicts experiment->outcome and isn't distracted by the fluff. Who's building this?
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I don't even want humans to decide how the papers should be read. The way I envision it working is a wrapper LLM that acts as autoencoder that extracts from each paper two indecipherable vectors of salient "setting" and "measurement" features
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The inside model then autocompletes the "setting+measured" vector with no other input. This will be the model that approximates reality rather than humans' stories about it
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Beny Falkovich retweeted
Using a mocap suit to kick yourself in the balls with a robot is a great metaphor to close out 2025.
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Viruses from China have a much nicer aesthetic these days
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Ёжик в тумане
U.S.-supplied Stryker ICV in Ukrainian service, sporting a massive “hedgehog” anti-drone armor kit.
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This used to be how we do biology, but now there are sophisticated tools to remove windows and phenotype the car. However, this makes things more confusing because some people knockout half the car's windows and report no effect, while others see that the car immediately crashes/
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most things that move don't have engines. Pharma companies decide to invest in the Car-not-moving treatment area and pursue thousands of different drug candidates. Eventually, a drug called Motoroil (VVLN-0392), which mimics an endogenous engine substance/
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helps a subset of patients. Motoroil makes the company billions and is hailed as a revolutionary drug. But Motoroil doesn't work for most non-moving cars, and adding other engine substances (like Steel) don't help, so its mechanism of action must be elsewhere.
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