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Computer Use Progress Slower Because AI Cannot Grind Against Real Websites

By Egleze Editorial Desk · Published June 26, 2026 · Dwarkesh Patel Podcast · The next big breakthrough will be AIs learning on the job
Computer Use Progress Slower Because AI Cannot Grind Against Real Websites
Dwarkesh Patel Podcast
Dwarkesh Patel Podcast
The next big breakthrough will be AIs learning on the job

What was said

"You can't just have 1,000 agents go try the same checkout flow on Amazon to get better at using websites because Andy Jassy will find your bots and shut your ass down. You can solve this by making clones of Slack and Gmail and all the other common applications and websites. But at least currently, this is a very labor-intensive and unscalable way to build environments."

The speaker reveals that progress on AI computer use capabilities lags behind other domains because training requires replayable simulators, and companies like Amazon will block bot training on real websites. This forces labs to build labor-intensive clones of applications, highlighting an underrated bottleneck in AI development that won't be solved until AIs can build high-fidelity application clones themselves.

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Attributed speaker claim

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Source and context

Egleze verified who said this and where. The underlying claim has not been independently established by Egleze.

Programme
Dwarkesh Patel Podcast
Episode
The next big breakthrough will be AIs learning on the job
Clip time
3:41
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Dwarkesh Patel Podcast
Dwarkesh Patel Podcast

The next big breakthrough will be AIs learning on the job

June 26, 2026 · 5 Egleze moments
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