> they fired contractors for using AI to label data

Is your objection to the word “train” in headline? Otherwise, you’re just restating the headline while calling it clickbait (which, btw, it’s not, perhaps you meant to say it is misleading, which is a different thing.)

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Read the article, that's not what this is about. Title is clickbait, they fired contractors for using AI to label data when the whole point of labeling data is to distill human knowledge into weights, not distill weights into weights.

They’re a believer, but they won’t be paying third parties for that once it becomes feasible

I think people want the service they are paying for.

pimp my agent

How is it a failure of journalistic understanding? They seem to say pretty much the same as you

“Suppose the government puts a certain drug in the water supply … A couple of conspiracy nuts say it makes your fingers fall off one by one, but the government says that’s ridiculous … However, government employees are all observed drinking bottled water exclusively, and if anyone suggests that government employees might also want to take the completely innocuous drug, they freak out … If by chance you manage to slip a little bit of tap water into a government employee’s drink, and he finds out about it, he runs around shrieking like a banshee and occasionally yelling “AAAAAAH! MY FINGERS! MY PRECIOUS FINGERS!”. At some point you might start to wonder whether the government was being entirely honest with you.”

What is it, exactly, that makes AI-generated text so poisonous to AIs but totally harmless to humans? What is mode/model collapse, and why can it only happen to AIs with too much AI text in their training data and not to, say, human students with too much AI text in their textbooks? The people who know the most about this phenomenon seem much more careful about contamination than they are encouraging us to be.

Fires people for using AI to label data. That is something that has always been clear from the start is something that needs to be done by humans.

Earlier this year it was so dissonant to see so many companies explaining how they are going to replace their engineers with AI from both OpenAI and Anthropic, while both companies were instead (and are still) hiring all the human talent they could