Live data from Hacker News

The OnlyFans Economy of American AI

leoveanu.com

181–190 of 221 posts

Re: The OnlyFans Economy of American AI

#181
post #12

Earlier quoted context omitted.

Is "taboo" the right word? "taboo" = "banned on grounds of morality or taste". Not sending data to known IP thieves, state actors, and competitors in China (or Russia or Israel) seems very rational.

>> Not sending data to known IP thieves, state actors, and competitors in China (or Russia or Israel) seems very rational. As opposed to sending data to known IP thieves, state actors, and competitors in the USA ? Which one is the most irrational?

Our thieves are better than their thieves. :)

Re: The OnlyFans Economy of American AI

#182
post #19

Earlier quoted context omitted.

You can legally act against one, not against the other. Not exactly a hard question.

No, in very real terms you cannot hold an American corporation responsible for anything any more than you could a Chinese or Russian one. Individual citizens simply do not have the means, and the consequences for trying are life-alteringly severe. In fact the situation is even worse. If you tried to sue a Chinese company as an American citizen, you'd be laughed at and nothing more. If you tried to sue an American cor…

This has nothing to do with the discussion. Do you have a HN poster bot just acting like an annoyed teenager with gripes about everything? 20 day old new account, what happened to the previous ones?

Re: The OnlyFans Economy of American AI

#183

How many words did I read in this article before I realized it wasn't written by AI? 10? 20? A paragraph or two? It's quite strange that it's very easy to detect AI in writing.

Something something entropy If I ask three models to write an intro to the cold war, they'll all try to pick words that sound like they should be related-ish. I'm not saying that's how they work at all, but the output is indistinguishable from just grabbing some words in the wikipedia page. Humans make mistakes. They'll use words they recently learned. They'll use words that sound good. Entropy still applies, but the…

Especially with how they pick (one of) the most likely word as the next one. And the most likely word is exactly the one with least entropy, the least surprising one and giving the least amount of information you can.

Re: The OnlyFans Economy of American AI

#184

Earlier quoted context omitted.

The last notable event in American history when the meaning of words lost any semblance to reality was just before the Civil War. We are living in a post words world where words have no meaning.

What happened to words in the American Civil War?

I was referring to things like this https://dispatch.richmond.edu/1861/4/13/2/31

https://www.loc.gov/resource/sn84024738/1861-04-13/ed-1/

Re: The OnlyFans Economy of American AI

#185
post #8

> and will judge, like any sane person, that US frontier models have stopped earning their multiplier I think that this is on the money, although I'd place the bar even lower - DeepSeek v4 Flash is sufficient for basically all day-to-day coding tasks. You might want something beefier for a complicated reverse-engineering project, but it will competently one-shot a decently complicated app or API - and a $10/month Ope…

I'll root for DeepSeek v4 Flash as well. It surprised me just how "good enough" it is for most of my needs, and also dirt cheap. Everyone should try it at least once.

fired it up via the $5 opencode go subscription and am stoked. This is an amazing amount of capability for pennies on the dollar. I'm using it alongside my codex and claude max subs. Just fantastic for coding that claude is architecting.

Re: The OnlyFans Economy of American AI

#186

Earlier quoted context omitted.

I suspect the recent space X S&P decision had something to do with public perception.

I think the odds of that are low. It's not like decision maker(s) are watching social media and going with the vibes, but it's almost certain that there's a rich conversation going on behind the scenes in opaque channels, especially with regards to the AI-only companies. And those conversations are likely what drove their decision.

> It's not like decision maker(s) are watching social media and going with the vibes,

What do you mean? They are all on twitter! It’s the most engaging activity for billionaires

Re: The OnlyFans Economy of American AI

#187

How many words did I read in this article before I realized it wasn't written by AI? 10? 20? A paragraph or two? It's quite strange that it's very easy to detect AI in writing.

For me it’s easily the — character. Like no human would use that since it’s not in any standard keyboard

Option-hyphen key on macOS. I used to make prolific use of the emdash and LLMs took that from me!

Re: The OnlyFans Economy of American AI

#189
post #19

Earlier quoted context omitted.

>> Not sending data to known IP thieves, state actors, and competitors in China (or Russia or Israel) seems very rational. As opposed to sending data to known IP thieves, state actors, and competitors in the USA ? Which one is the most irrational?

You can legally act against one, not against the other. Not exactly a hard question.

You can't really act against neither, as the case of Meta "stealing" books, torrenting on the truly industrial scale, sharing books while torrenting, etc, etc, was ultimately deemed okay.

In the se country where downloading an album can get a person in debt or worse.

Re: The OnlyFans Economy of American AI

#190

> and will judge, like any sane person, that US frontier models have stopped earning their multiplier I think that this is on the money, although I'd place the bar even lower - DeepSeek v4 Flash is sufficient for basically all day-to-day coding tasks. You might want something beefier for a complicated reverse-engineering project, but it will competently one-shot a decently complicated app or API - and a $10/month Ope…

Am I missing out? I feel like I can definitely tell the difference in quality between Claude Opus and other smaller models. The smaller models are much more likely to make mistakes or to get stuck on random stuff Maybe I just haven't been trying the right models?

Yes, but no. Honestly, except for frontend/IAC where I still use frontier models, I will use smaller models whenever I can.

Because even the latest opus on High don't really get what is needed, and need careful steering and a rewriting in most cases, and the code is often hard to review.

I'd rather just launch a smaller model in plan mode, argue with it and make it implement the bases I will write the code into. writing code is often faster once you know what you want, and AI most useful ability is to be a canary that also propose stuff. And I find my method faster than generating everything then reading the code to find mistakes or understand why it used X instead of Y.

I don't really read generated frontend code anyway (nor do anybody in my team care) , so I generate it and push it if it does the stuff I want it to do. For IAC it's mostly boilerplate except for 1-2 lines most of the time, and at worst a dozen, if you know where to look (and check the AI doesn't suffer from NIH), it's really easy to review generated code.

Post reply on HN