When it comes to achieving artificial general intelligence (AGI), large language models just don’t have what it takes. Models like ChatGPT and Claude are great at text, but they’re less skilled at understanding how things actually move through space and time — an essential skill for producing intelligence that generalizes. That gap, it turns out, might be filled by gaming data. That’s the bet behind General Intuition, a Bezos-backed, New York-based startup valued at $2.3 billion that just closed a $320 million round with Coatue, Eric Schmidt, and researchers at MIT and Google DeepMind joining its list of investors.
On this episode of TechCrunch’s Equity podcast, 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 being used for defense applications.
Listen to the full episode to hear more about:
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How eight minutes of real-world data was enough to get a robot navigating an office cold.
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Why General Intuition turned down an acquisition offer reportedly from OpenAI to stay independent, and why having investors who back your mission is essential to building a generational company.
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How the company is trying to get ahead of AI job displacement by building Nerve, a marketplace connecting gamers to data labeling and teleoperations work.
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