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in a post-AGI world, people will simply get used to the fact that computers can solve cognitive problems quickly, and beat us in any cognitive domain, just like we're used to computers multiplying large numbers quickly now, or kicking our asses in chess and go. software and math will lose all their scarcity. "pls create a MMORPG that is like Zelda: Breath of the Wild but with Pokémon instead, let me fly around the world as a Charizard and dive on the water like a Gyarados. give me an executable that I can send to my friends and we'll all be connected to the same world" you press a button and, 3 minutes later, done I doubt that won't work by 2027 "pls create a blockchain exactly like Bitcoin except it uses quantum resistant signatures like Lamport, and you can deploy smart contracts in a Lean-like language, and contracts are only accepted if they're formally verified to be correct w.r.t the following specs..." you press a button and done, you have a hack-proof chain "in three space dimensions and time, given an initial velocity field, there exists a vector velocity and a scalar pressure field, which are both smooth and globally defined, that solve the Navier–Stokes equations" you press a button, and done, you get a solution math is fundamentally easy, and this will break some ppl's worldviews. currently, math seems mystically hard, like chess once was, because we're are animals that struggle with it, only a few of us are capable of adding fractions, let alone working on the edge, so hard problems stand for a long time unsolved, we praise our geniuses. but it isn't once computers are doing it, that won't be a thing anymore. theorem proving will be as trivial as multiplying large numbers. the "uh duh but godel?" folk will still be confused. and computers will come up with incredibly simple, clean Lean proofs for impossibly hard problems. and mathematicians will yell that it is just some trick to satisfy the checker, that it isn't real math if we can't understand it. but then we'll ask the AI and it will kindly reveal the nature of a surprisingly clever mathematical structure that is so alien for our brains to come up with and life will go on automation will increase 100-fold food and goods will be abundant the price of everything will crash other than things that can't be copied like human time and attention which will be on all time high and humans will still play chess and humans will still write software and humans will still do math and we'll dance, play sports and love like we always did for the love of it software and math will lose their scarcity computers will be truly general solvers and we'll get used to it faster than you think and life will go on
Kind / Bend / HVM / INets / λCalculus
RT @sapinker: From my appearance on 60 Minutes: Me: Research works. If you want to freeze society where it is, then cripple the research…
Professor at NYU. Chief AI Scientist at Meta. Researcher in AI, Machine Learning, Robotics, etc. ACM Turing Award Laureate.
RT @EtienneKlein: En novembre 1911 (il y a pile 114 ans), Marie Curie fut violemment attaquée par une partie de la presse à cause de sa lia…
Professor at NYU. Chief AI Scientist at Meta. Researcher in AI, Machine Learning, Robotics, etc. ACM Turing Award Laureate.
what ended up a $250,000 MRR SaaS started as a 1-feature product you can probably ship that MVP
but it went sideways when I left (obivously 🤣) go try https://t.co/JBwYmFTnsS - the best tool for X growth shipping new stuff almost every day
RT @rohanpaul_ai: 🧰 AI has had zero major effect on jobs so far. ~ A new study by Yale Univ Economists . The changes in jobs from AI, tha…
Professor at NYU. Chief AI Scientist at Meta. Researcher in AI, Machine Learning, Robotics, etc. ACM Turing Award Laureate.
RT @Sumanth_077: Turn your laptop into a powerful RAG system! LEANN can index and search through millions of documents while using 97% les…