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Periodic Labs cofounder Liam Fedus on why so many physicists are working on AI: "I think [physics is] a great way to think about the world. It's very principled, very hard-nosed scientists, very careful. And I think it's just such an incredible field. You have such high leverage in...

41,427 Aufrufe • vor 6 Monaten •via X (Twitter)

8 Kommentare

Profilbild von Mahaoo
Mahaoovor 6 Monaten

the real reasons are much more social 1) physics is historically the most prestigious scientific field and smart people tend to gravitate towards that. when prestige shifts towards AI, they move as well. 2) frontier research in physics has a bit stagnated in the last 50 years and many physicists have continuously flowed to other scientific fields like computer science and biology (that have much more open space to pursue) for decades now so a physicist is essentially a smart person without a home that is searching for a new place to call home

Profilbild von Anagen💈
Anagen💈vor 6 Monaten

lots of physicists in our community solving hair loss

Profilbild von Stjepan
Stjepanvor 5 Monaten

Fulin ass these guys obsession with physics.. we physicists know how fukin much grind is needed to understand something... This podcast TikTok culture only knows how to repeat same few sentences to sound smart.. non of these guys is real physicist, they are just brain rot

Profilbild von Jason Newton
Jason Newtonvor 6 Monaten

the real reason is 3 fold: can't be productive enough without it can't do much in physics (age old thing) alot of the math is actually pretty easy for physicists, same reason why you see aerospace people transition into trading

Profilbild von DSouza Jithesh
DSouza Jitheshvor 3 Monaten

Same

Profilbild von ColinRobinson.sol
ColinRobinson.solvor 6 Monaten

insane ai agent tek $PISS 927pdppLekfgaVsS49gFcJhz8vpeHSHuHKSWo4Nqpump #aiagents #claude #ai #agents

Profilbild von SPHEROID AI
SPHEROID AIvor 6 Monaten

luckily Physics is also underlying Intelligence. The Standard Model of AI is coming

Profilbild von Oliver S
Oliver Svor 5 Monaten

High leverage meets rigorous methodology. After the Higgs bottleneck, redirecting analytical firepower toward algorithmic architecture is exactly where high-impact inquiry currently thrives.

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