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.

Trend

recordings per month · last 12 months
23 · Jul OctJan 26AprJulnow

Recordings per month over the last 12 months — 109 in all, peaking in Jul 2026 with 23.

Appearances

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Building open source AI in America is struggling to compete with open weight models coming out of China. voice-verified
And my worry is that if China figures out a fundamentally more cost efficient way to build AI, voice-verified
And things that are more cost efficient have a fundamental business adoption advantage. voice-verified
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. voice-verified
In complex software systems, as well as scientific systems, it's much more nuanced. voice-verified
Lee used nuclear physics as an example. voice-verified
Scientific papers are published openly, but uranium is regulated, while laboratory work falls somewhere in between. voice-verified
The lesson, she explained, was that openness doesn't have to be an all or nothing choice. voice-verified
Different layers of the ecosystem can operate at different levels of openness. voice-verified
Now she also highlighted collaborations between public and private institutions, such as the Human Genome Project. voice-verified
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. voice-verified
Lee said, so I think we have to use AI as that kind of infrastructure. voice-verified
We need some levels of openness, both in scientific discovery and education and global partnership, as well as lucrative business models for entrepreneurs. voice-verified
But we also will accept closed source systems. voice-verified
This debate, especially at the sweeping level of we can only tolerate one, is a false debate. voice-verified
We need to get to a level of nuance. voice-verified
But everyone agreed that some level of regulation would be necessary to keep AI on the right track. voice-verified
Hinton said, what we want to do is develop AI in a direction that helps people. voice-verified
And regulation will help us do that. voice-verified
You can't leave it to people like Elon Musk and Mark Zuckerberg to decide how AI should be done. voice-verified
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