Replying to @⁨eicker@lemmy.world⁩

The funniest part is that the thing that could actually make AI useful at scale might be what wrecks the investment thesis: cheap, local, open weight models. Wall Street funded a trillion dollar server farm to discover that sometimes the answer is a smaller model running on your laptop. The technology might win while the investors lose. Nevertheless, companies such as Google, Amazon, and Microsoft – as well as Nvidia and AMD – are a very long way from simply going under.

Replying to @⁨dangling_cat@piefed.blahaj.zone⁩

lol you’re kidding, right? Have you looked at component prices lately? Have you missed the part about how basically all consumer electronics that use LPDDR are getting price hikes, because the demand for high performance memory has skyrocketed by an order of magnitude in the last few years?

Edit: yeah I realized I was replying to a rhetorical question 🙃

Edited ⁨⁨Oct⁩ ⁨11⁩, ⁨2026⁩, ⁨19:14⁩⁩en

Replying to @⁨gravitas_deficiency@sh.itjust.works⁩

He didn’t mean to question the premise that the consumer market is being starved, he was highlighting the reality of that and connecting it as being motivated by a fear of local models.

Admittedly, the question was ambiguous and could be taken either way, but the comment didn’t mention that consumer market was starved, his question brought it into the discussion.

Note that I don’t think that it is fear of local models personally, I think it’s fear of each other. I think cloud infrastructure providers already proved that even when people can locally host stuff, they mostly don’t. So many consumer electronics could meet their promises all locally, but still force the users to connect to their internet services. The tech market has already proven time and time again they are suckers for subscription eshitification, no need to panic over it being different for AI.