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When it comes to achieving artificial general intelligence (AGI), large language models just\u00a0don\u2019t\u00a0have what it takes. Models like ChatGPT and Claude\u00a0are great at text, but\u00a0they\u2019re\u00a0less skilled at understanding how things\u00a0actually move\u00a0through space and time\u00a0\u2014\u00a0an essential skill for producing intelligence that generalizes. That gap, it turns out, might be filled\u00a0by\u00a0gaming data.\u00a0That\u2019s\u00a0the bet behind General Intuition, a Bezos-backed, New York-based startup\u00a0valued at\u00a0$2.3 billion\u00a0that just closed a $320 million round<\/a>\u00a0with Coatue, Eric Schmidt, and researchers at MIT and Google DeepMind joining its list of investors.\u00a0<\/p>\n On this episode of TechCrunch\u2019s\u00a0Equity<\/a>\u00a0podcast, General Intuition CEO Pim de Witte joins Rebecca Bellan to dig into why world models trained on gaming data might be the next big leap in physical AI, how the company spun out of gaming platform Medal TV, and where the ethical red lines are when your models could end up\u00a0being used for defense applications.\u00a0<\/p>\n Subscribe to Equity on\u00a0YouTube<\/a>,\u00a0Apple Podcasts<\/a>,\u00a0Overcast<\/a>,\u00a0Spotify<\/a>\u00a0and all the casts. You\u00a0also can\u00a0follow Equity on\u00a0X<\/a>\u00a0and\u00a0Threads<\/a>, at @EquityPod.\u00a0<\/p>\n<\/div>\n