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    Lior Alexander Urges Physical Superintelligence to Revive Physics

    He states that civilization depends on old physics and seeks AI to restart rapid discovery.

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    2 Sources, 29d ago, first seen 29d ago

    TLDR

    Lior Alexander posted that twenty-first century civilization runs on twentieth century physics. He introduced Physical Superintelligence as an effort to restart the rapid progress seen when a small number of researchers produced lasers, transistors, and nuclear energy over twenty years. The post notes that discovery later became institutionalized. Alexander founded AlphaSignal, an AI news platform, and shares research and tools on the account. The statement positions PSI as a way to apply AI toward new foundational advances in physics.

    Combined views

    20.2K

    2 Sources, first seen 29d ago

    Combined views

    20.2K

    2 Sources, first seen 29d ago

    121 likes
    121 likes
    10 comments
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    17 reposts

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    10 comments
    35 saves
    17 reposts

    Sentiment

    Positive——Negative

    Summary

    Not enough discussion yet.

    No sentiment analysis available yet.

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    2 Sources

    @ani_paiIt's been hard to keep this secret, but we're stoked to share our investment into @psipbc alongside @Breakthrough. Ultimately, you can't scale datacenters in space without new physics, and you don’t get new physics fast enough without AI doing it. Almost everything we use in our technology today is built on age-old physics. In Feyerabend's Against Method, he argues that science doesn't evolve with playbooks and procedures, and that enforcing a concrete set of rules is how a field stops advancing. What follows is the march of nines — progress measured in decimals on outdated experiments because the default methods reward precision over risk-taking. But AI breaks that paradigm. Models will propose real physics, verify it, and find the next breakthrough alongside researchers, and PSI is building this across every physics domain rather than betting on one. Once we accelerate this, we should expect a Cambrian explosion of new physics like we saw in the golden age of the 1920s: Schrödinger's Equation (1926), Dirac's Equation (1927), and Hubble's Law (1929) just to name a few. This will be a fun one to watch and, of course, it's a privilege to be backing @matthew_pines, @alexwg, and @klokus.
    @LiorOnAIOur 21st-century civilization runs on 20th-century physics. Physical Superintelligence (PSI) wants to restart the golden age of physics using AI. The last one gave us lasers, transistors, and nuclear energy, the entire foundation of modern life, from a few dozen minds over twenty years. Then discovery got institutionalized and slowed to a crawl. AI has flipped the scarcity in science. Generating ideas used to be the hard part. Now a model can spit out a thousand plausible hypotheses before lunch. The hard part is figuring out which ones are actually true. So PSI built the lab around that problem. Humans pick the questions. AI does the work. Every answer has to pass tests that can't be argued with: the laws of physics, mathematical proof, simulation, and real-world measurement. If it survives all four, it's a discovery. If not, it's thrown out. Love the approach.

    2 Sources

    @ani_paiIt's been hard to keep this secret, but we're stoked to share our investment into @psipbc alongside @Breakthrough. Ultimately, you can't scale datacenters in space without new physics, and you don’t get new physics fast enough without AI doing it. Almost everything we use in our technology today is built on age-old physics. In Feyerabend's Against Method, he argues that science doesn't evolve with playbooks and procedures, and that enforcing a concrete set of rules is how a field stops advancing. What follows is the march of nines — progress measured in decimals on outdated experiments because the default methods reward precision over risk-taking. But AI breaks that paradigm. Models will propose real physics, verify it, and find the next breakthrough alongside researchers, and PSI is building this across every physics domain rather than betting on one. Once we accelerate this, we should expect a Cambrian explosion of new physics like we saw in the golden age of the 1920s: Schrödinger's Equation (1926), Dirac's Equation (1927), and Hubble's Law (1929) just to name a few. This will be a fun one to watch and, of course, it's a privilege to be backing @matthew_pines, @alexwg, and @klokus.
    @LiorOnAIOur 21st-century civilization runs on 20th-century physics. Physical Superintelligence (PSI) wants to restart the golden age of physics using AI. The last one gave us lasers, transistors, and nuclear energy, the entire foundation of modern life, from a few dozen minds over twenty years. Then discovery got institutionalized and slowed to a crawl. AI has flipped the scarcity in science. Generating ideas used to be the hard part. Now a model can spit out a thousand plausible hypotheses before lunch. The hard part is figuring out which ones are actually true. So PSI built the lab around that problem. Humans pick the questions. AI does the work. Every answer has to pass tests that can't be argued with: the laws of physics, mathematical proof, simulation, and real-world measurement. If it survives all four, it's a discovery. If not, it's thrown out. Love the approach.