In the meantime tulips prove math theorems that humans couldn't solve. Ridiculous article title (I wouldn't read it)
AI Mania: From Tulips to Tokens
41–50 of 60 posts
Re: AI Mania: From Tulips to Tokens
#42this article reminds me of Greta for some reason .. wonder what she's upto these days ?
Re: AI Mania: From Tulips to Tokens
#43Re: AI Mania: From Tulips to Tokens
#44Earlier quoted context omitted.
How did metaverse revolved around exclusivity or collectibles?
the metaverse went from being about owning your identity and digital possessions to mostly being about buying jpegs. once collectibles and nft speculation became the headline, it was hard to explain why any of the underlying technology mattered. after that, most people just associated the whole thing with speculation rather than the original vision. which is a shame, I still feel like VR is full of untapped potential
Yeah - they not just VRChat but many other VR projects are alive and very active, doing verz innovative and almost marvelous things most people don't know anything about.
It might not be a mainstream thing any time soon or ever, but that is not necessary as long as the people invovled woth VR are having fun. :)
Re: AI Mania: From Tulips to Tokens
#45Earlier quoted context omitted.
> and AI has yet to show any real utility Ummm ... have you not tried using LLMs for coding work?
Not OP, but I have, and I'm not impressed. Perhaps it would be good if you are doing things in the training data (like churning out yet another bland website). But if you are doing things that are not well represented in publicly available code, or in unusual languages, then LLMs are not great currently. They are great for finding the right ffmpg command line arguments though, and not having to deal with that mess mu…
> But if you are doing things that are not well represented in publicly available code, or in unusual languages, then LLMs are not great currently.
Have you tried since November 2025?
Re: AI Mania: From Tulips to Tokens
#46Earlier quoted context omitted.
Random shitcoin mining surely isn't a large fraction of industrial GPU usage?
Not anymore, but around 10 years ago it absolutely was, because for a short period you could literally print money with them.
Ah, but any 10 year old GPU now is e-waste, not useful LLM hardware. So it might as well have been mining ASICs.
Re: AI Mania: From Tulips to Tokens
#47Earlier quoted context omitted.
Not OP, but I have, and I'm not impressed. Perhaps it would be good if you are doing things in the training data (like churning out yet another bland website). But if you are doing things that are not well represented in publicly available code, or in unusual languages, then LLMs are not great currently. They are great for finding the right ffmpg command line arguments though, and not having to deal with that mess mu…
> But if you are doing things that are not well represented in publicly available code, or in unusual languages, then LLMs are not great currently. Have you tried since November 2025?
>have you tried since $date
You guys have been saying that every few months.
Re: AI Mania: From Tulips to Tokens
#48Earlier quoted context omitted.
> But if you are doing things that are not well represented in publicly available code, or in unusual languages, then LLMs are not great currently. Have you tried since November 2025?
>have you tried since $date You guys have been saying that every few months.
And you guys have been consistently replying with that exact same comment.
Re: AI Mania: From Tulips to Tokens
#49Earlier quoted context omitted.
Not OP, but I have, and I'm not impressed. Perhaps it would be good if you are doing things in the training data (like churning out yet another bland website). But if you are doing things that are not well represented in publicly available code, or in unusual languages, then LLMs are not great currently. They are great for finding the right ffmpg command line arguments though, and not having to deal with that mess mu…
> But if you are doing things that are not well represented in publicly available code, or in unusual languages, then LLMs are not great currently. Have you tried since November 2025?
They did get better around that time but there are some things that they are legitimately bad at for now.