@GregCook2011
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Hello, Future. The ideas we communicate are the future we build. High agency, high customization. Views expressed here are my own. AI pragmatist.
Toronto on Lake Ontario
Joined December 2010
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Greg Cook retweeted
Today in @Nature, we report a new approach to studying human brain development and modeling disease in vivo.
Human neural #assembloids and #organoids have opened new ways to study development in vitro, but they also have important limitations. Transplantation can provide a more physiological environment, yet human cortical cells then develop within a rodent brain that matures much faster, constraining their growth and integration.
To address some of these limitations and obtain more advanced functional readouts relevant to disease biology, we generated #apallial mice, in which ~98% of the cortex and hippocampus fail to form, creating space for transplanted human cortical organoids to grow and integrate extensively.
We call these #xenocortical mice (XCX).
Nearly 7 years in the making. Congratulations to an extraordinary team and wonderful collaborators!
Link to the article below 👇
Greg Cook retweeted
"stochastic parrot" was a mimetically-fit cognitive virus that spread from 2021-2025; it temporarily blinded many gifted people to the nature of AI progress, burning up crucial years in which they could have helped think through the response to the situation.
If we pause and pace our technologies to suit the dominant parties we accept the example from the convenience of the rate of Siri’s improvement; when we burn the accelerator like a startup we evolve faster for all people.
Greg Cook retweeted
🎯💯
Thanks to President Trump’s leadership on AI:
— a million new jobs have been created around the AI buildout;
— 401(k)s are up ~12% this year as AI capex and productivity lift the market;
— America is re-industrializing, including the first large private investments in power generation and the grid in a generation;
— In rural Richland Parish, Louisiana, teachers just received $50,000 bonuses from data-center tax revenue.
Because the media portrays AI only as a menace, people tell pollsters they “don’t like AI.” Their behavior says otherwise. AI products are the fastest-adopted technology in history — faster than the internet or the iPhone. People like the tools, the jobs, and the tax base.
President Trump understands the media hoax cycle better than anyone else. That is why he is refusing the “pause” that Bernie Sanders and Elizabeth Warren are demanding. A pause would not make America safer. It would hand the frontier to China. That would be a disaster for the American economy and for national security.
Greg Cook retweeted
Upload fly brain to the body and then download it to a new robot body ... hmm (stage 10 on the way to the simulation point)
this is insane, a dead fly brain just got a new body
166,700 fruit fly neurons and more than 25 million biological connections are now sitting inside a robotic body that looks almost exactly like the animal they came from
the lab gave those neurons cameras, wings and motors, then let the system figure out what those signals meant without writing normal flight behavior for it
a light moves and the head turns
airflow changes and the wings correct
another fly crosses the camera and the robot starts following it
the creepy part is how little machinery the brain actually needs before old instincts start becoming useful again
nature spent hundreds of millions of years building a nervous system that can react, stabilize and chase movement
someone just gave that nervous system a body made of metal
the original fly is gone
its wiring is still trying to fly
Greg Cook retweeted
everyone: maybe we should slow down AI
me: what if we gave it fingers
youtu.be/dW_aK5rL1kM?si=kjZI…
thoughts on Typesafe/Jev: I'm surprised that a general-purpose classifier (or discriminative model) can be just as interesting to the public as a general-purpose generative model. I've worked on search and discriminative models for years, so maybe I should have called this upfront, tbf I never thought about making them general-purpose beyond search. Typesafe also positions Jev really well as "System 1", a complement to the generative models we already have. Humble, unassuming, and sidestepping the frontier-lab warzone.
Jev's success could be disruptive to today's agentic systems in many ways, such as tool-calling and routing patterns. Over the last three years the consensus was to use a small generative model for routing, tool calling, MCP etc. Time to pause and rethink such architecture, because we'll probably see tool calling and routing move back to discriminative models. Whoever ships the next Jev-like open-weight base model will likely win the community.
