[varispeed]

The snag is: 'experts' aren’t neutral oracles. Many are underpaid and end up parroting whoever funds them. Lobby groups quietly buy authority all the time. So the real challenge isn’t just training on expert judgments, it’s making the model sharp enough to spot the BS in those judgments - otherwise you’re just encoding the bias straight into the weights.

[htfu]

Which is why the foundation players must soon take on the additional role of being an ad buyer.

Interactive stuff, within content. A mini game in a game, school homework of course, or "whichever text box the viewer looks at longest by WorldCoin Eyeball Tracker for Democracy x Samsung" for an interstitial turned captcha.

Better hope your taste isn't too bland and derivative!

Amazon and Ali soon lap the field by allowing coupon farming, but somehow eventually end up where they started.

[Nevermark]

> The snag is: 'experts' aren’t neutral oracles.

Without knowing who/what the experts are, how they are used, what they are judging, what structure and mitigations are in place around their use, and what degree of neutrality is required - with all other factors and techniques being used - you can't make any such claim.

It's so easy to dismiss something.

A general algorithm isn't a claim that its practical use won't require accommodating the specific complications of each context.

Very much like how data scientists don't expect their best algorithms to operate well, without also resolving a stream of practical issues. In standard and ad hoc ways, as needed.