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 months

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

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TechCrunch Industry News · As AI safety concerns mount, three pioneers make the case for staying open · 13 Aug 2026 podcast

For the three speakers, the core concern was allowing a handful of major AI companies to control the pace of progress. voice-verified

You know, when a few companies control access to a technology, as Apple and Google do with mobile operating systems, innovation can slow, and the companies that control the platforms can influence what gets built on them. voice-verified

Andrew Ng said that he worried about a similar dynamic emerging in AI. voice-verified

I don't want there to be gatekeepers, he said. voice-verified

That limits how all of us can access AI. voice-verified

Companies have an incentive to protect their competitive advantages, including by influencing the rules that govern the industry. voice-verified

That could create a dynamic where only the largest, best capitalized firms with the resources to build the most advanced AI systems. voice-verified

Ing's solution was to maintain multiple providers, with models and companies competing rather than allowing a handful of players to dominate the field. voice-verified

He said voice-verified

If I were to try to give one prescription, it would be to promote openness because AI is amazing technology. voice-verified

And I want it to be in everyone's hands. voice-verified

But not everyone agreed that open weight models would help preserve that state of play. voice-verified

Hinton in particular drew a distinction between open source software, which makes the underlying code available for inspection and modification, and open weight models, which released the parameters of a trained AI model to the public. voice-verified

Hinton said, Open source is great. voice-verified

You show people the code and lots of people look at the lines of code and say, oh, there's a bug. voice-verified

Open weights means you train a big model and then you give people the weights. voice-verified

That's very different. voice-verified

I was against open weights because it makes it so easy for people to take these big foundation models, which are very expensive to train, and for much less money, train them to do bad things like cyber attacks. voice-verified

But whatever his reservations, Hinton acknowledged that open weight models are already a permanent fixture of AI, saying voice-verified

I think that battle's been lost. voice-verified

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