TechCrunch Host
speaker
5,755 appearances
109 recordings
1 series
first heard Mar 2026
last heard 17 Aug
TechCrunch Host’s voice in public audio — every appearance, attributed to the second.
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recordings per month · last 12 monthsRecordings per month over the last 12 months — 109 in all, peaking in Jul 2026 with 23.
Appearances
Building open source AI in America is struggling to compete with open weight models coming out of China.
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And my worry is that if China figures out a fundamentally more cost efficient way to build AI,
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And things that are more cost efficient have a fundamental business adoption advantage.
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Lee pushed back on that framing, saying, it's very dangerous to make this a dichotomy between complete openness all the way to complete closedness.
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In complex software systems, as well as scientific systems, it's much more nuanced.
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Lee used nuclear physics as an example.
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Scientific papers are published openly, but uranium is regulated, while laboratory work falls somewhere in between.
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The lesson, she explained, was that openness doesn't have to be an all or nothing choice.
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Different layers of the ecosystem can operate at different levels of openness.
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Now she also highlighted collaborations between public and private institutions, such as the Human Genome Project.
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The resulting knowledge became a platform that others could build on, she said, allowing pharmaceutical companies to profit, scientists to advance their work, and society to benefit.
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Lee said, so I think we have to use AI as that kind of infrastructure.
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We need some levels of openness, both in scientific discovery and education and global partnership, as well as lucrative business models for entrepreneurs.
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But we also will accept closed source systems.
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This debate, especially at the sweeping level of we can only tolerate one, is a false debate.
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We need to get to a level of nuance.
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But everyone agreed that some level of regulation would be necessary to keep AI on the right track.
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Hinton said, what we want to do is develop AI in a direction that helps people.
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And regulation will help us do that.
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You can't leave it to people like Elon Musk and Mark Zuckerberg to decide how AI should be done.
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Showing 181–200 of 5,755 · page 10 of 288
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