Elad Gil
speaker
6,339 appearances
58 recordings
1 series
first heard Sep 2024
last heard 10 Sep
Elad Gil’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 — 22 in all, peaking in May 2026 with 4.
Appearances
How the web works.
Wha what are the approaches you've been taking to try and level the playing field here?
interesting.
Cause if you look in the the sort of search precedent, we had a robots.txt file, and that's where you kind of specify whether a search engine could come and crawl the content.
And it sounds like you're really extending some of those concepts on through to the AI layer.
of arguably companies like Mercore or Surge or Scale as as they do data labeling and they hire human experts to basically fill out content areas for AI companies?
So do you basically view this as like a distributed model of that or sort of a web-based?
How do you think that plays out as um, so if you look at some of these um labeling companies that also then hire experts in to sort of provide some of the at least expert content that you mentioned, um, if you look at some of the models like Med Palm 2 from Google, which is a couple of years old now, it outperformed human physicians, the average human physician in terms of output.
So if you rated its output against people, at what point do you think we've run out of good content from people?
In other words, there there is some limit.
One of the things that CloudFire is known for, to your point, is really speeding up.
Web pages and the internet.
And as we shift from uh serving pages to sort of models being run, you're kind of shifting from a world of like caching and serving pages to like inference.
How do you think about that in the context of CloudFare or some of the directions that you all are going?
One other thing that you mentioned sort of um
A little bit as a side note, when we were talking earlier, it was around how you felt that a lot of the models would actually be running on device and running locally.
And then obviously there'd be things on the edge or in the cloud that would be the bigger models, perhaps doing um more complex tasks.
When do you think that'll happen?
Do you think that's based on when the device is advanced in certain ways?
Is it model size?
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