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I love how this is the common sense answer and it's the conclusion in the study as well.

But if you read the other comments here, you see people arguing about Roe v. Wade, racism, statistical errors, covid vaccines, etc.

When the whole time the answer is just right there, the hippo in the room if you will lol. Anything to avoid personal responsibility I guess.

A comment under the tweet says: > yt-dlp stopped working this week. Literal better maintained forks are available

Anyone know what is being referred to? I thought yt-dlp was the best

I suspect the answer is yes.

Lookup Japan's Keirin racing. I think it's pretty much that. IIRC at the top levels they also require the racers to stay onsite under observation for several days before a race.

Tbf, millions is spent on that part. This seems to be a drop in the bucket.

The house and property was being sold for 5 million. Spare the "food" and "shelter" schtick, no one involved was going to be starving because of this.

> I can’t recall the specifics but within a week of COVID lockdowns and no commutes, carbon and pollution in atmosphere plummets

I don't deny the impact of lessening the number of people commuting, but how much of that was commuting and how much was everything being shut down?

I don't know that there would be as large an impact as people may hope.

I'd rather have the nickle.

Has anyone read the underlying studies for the first section? I tapped out but I find it somewhat hard to believe that rates of hard substance abuse are higher in places like Cupertino than in some ghetto school (the author specifically implies this with their vagueness).

I can see high achieving kids having an unneeded Adderall prescription or binge drinking, but am I really being led to believe that rates of crack abuse are similar? Did they look at kids who drop out/never attend (probably not)? Just feels a bit off.

> Even here on HN there are comments trying to downplay the issue by portraying the victims as mostly wealthy or landlords, which are presumably acceptable victims to people who like these kind of narratives.

After skimming some of the comments here I'd even go so far as to say that it's the majority of the comments here.

> While some of this is for annotation and ratings on data that came from the web or LLMs, they also create new training data whole-hog:

The article states that this human data is PhDs, poets, and other experts but my recollection from some info about programming LLM training is that there was a small army of low paid Indian programmers feeding it with data.

Even if it's actually experts now I have to wonder when that will switch to 3rd worlders making $1/hour.

My God, I can practically taste the salt emanating from this post.

I bet they do. I imagine OpenAI is trying to build themselves a moat. They can't really do it with the tech, but they can try to do it legally.

That particular line is definitely directed towards people with gender identity issues.