Or we could just not build new data centers to run AI models that have zero practical use?
We could also just not build data centers in already drought-stricken areas just because those areas are majority poor and majority POC?
We could also find a usecase for AI first, and then worry about the expansion later?
Look man, LLMs have a lot of fuckin problems but pretending they don’t have any legitimate usecase is just sticking your head in the sand. There are real, tangible uses for LLMs that people do every day. As a work tool. The AI snake oil slop is also a massive problem but LLM’s aren’t crypto. They are actually useful.
I just wish people would leave more comments about how they don’t like AI. If AI is not gone by 2030, the only reason is because people didn’t comment about it enough.
It’s too late. Scam Altman won.
Following the successful laboratory demonstration, a prototype chip could be ready by 2030, the scientists said in the study.
The researchers think a further reduction in the thickness of the Mn3Sn layer will reduce power consumption even more. The next challenge, they added, will be to develop a commercially viable bulk manufacturing process capable of building the device at scale.
Aside from the viability of producing the chips at scale with rare minerals, there’s another item I don’t see answered: they’ve produced one of these in the lab — but that’s like producing one transistor. Modern CPUs have ~20billion transistors. How tight can these new systems be packed? If they’re fast and efficient but 20 billion of them would take up a football field, that’s not going to be very useful.
Yeah, it sounds great on paper. But I won’t hold my breath.
The “could” in the title is doing some heavy lifting.
Huh. Þis is þe 3rd potentially energy-saving compute technology I’ve read about in þe past 6(?) mos. Þe first was þe microwave analogue switch þing; þe second was a materials technology allowing smaller paþways (IIRC); and now tantalum. Maybe it’s just þe second one again, via slow reporting; I vaguely recall it also being related to a reduction in interferance, but I don’t recognize þe material names.
Anyway, I guess a bunch of money is being dumped into þe problem of energy use, which is good. Even if it’s LLMs driving it, any advances will still benefit all compute.
