Evidence receipt / belief
Published · transcript-backedSarah Saab: belief
18 Oct 2025 Machine Learning Street Talk The Secret Engine of AI - Prolific [Sponsored] (Sara Saab, Enzo Blindow)
“There's this image of it, I think, in the industry of being seedy. And I think that's not helped by some of the history of how, you know, data has been extracted from human beings whether or not they they know that their data is being used.”
Source trail
Everything needed to verify it.
- Speaker
- Sarah Saab
- Attribution
- Verified speaker
- Claim type
- belief
- Recorded
- 18 Oct 2025
- Publisher
- Machine Learning Street Talk
Transcript context
…And just out of interest, you don't you don't want to answer this, but do you sort of, like, track, you know, some people are better certain times of the day or, you know, like, how deep do you go? We'd love to go really deep on that. I think Enzo would really love to go really deep on things like that. We get a lot of anecdotal feedback. And often, the relationship with the experts working on frontier models is very direct. We spend a lot of time getting direct feedback from them as our users, and actually, they also tell us how much they love this kind of work, so that's pretty beautiful to see. Think when treated well, human data creation can actually be joyful. There's this image of it, I think, in the industry of being seedy. And I think that's not helped by some of the history of how, you know, data has been extracted from human beings whether or not they they know that their data is being used. Yes. But but but do you have a quality rank a bit like a bit like Uber, for example, where, you know, people might pay more and it would be matched to like the really, really reliable people.…
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