undefined | Better HN

0 pointsyndoendo22d ago0 comments

That is not substantiable. AI bubble is wealthy hype like a single drop of blood can be used to validate 100 different diagnostic test. Reality is parts per million fails this along with reusable medium. Wealth latches to idiocy.

Gaming and CAD market are real expectations that latch to reality. Grow the education systems and grow both. So is matrix math, such as hashing.

AI has reached a state of software issue, not hardware. And the divergence of AI hardware does not equate to CAD and Gaming math.

0 comments

SR2Z22d ago

How many of the last ten years have had some kind of "temporary" GPU shortage? It was crypto, now it's LLMs, who knows what's next?

The only winning strategy for these guys is to exploit the market for all it's worth during shortages and carefully control production to manage the inevitable gluts.

TheDong22d ago

> AI has reached a state of software issue, not hardware

Citation very much needed.

At the very least, OpenAI seems to believe more and larger datacenters is the path to better models... and they've been right about that every time so far.

eitally22d ago

Moreover, all the frontier labs and hyperscalers are capacity constrained, and will be for the foreseeable future.

df2dfs21d ago

Their story (valuation) hinges on it - therefore that’s their investment thesis when raising money.

leptons22d ago

>OpenAI seems to believe more and larger datacenters is the path to better models...

Does that mean they produce better slop, or more slop faster?

allreduce21d ago

Better slop. The effect that these systems get better as you scale up [0] is real you know.

[0]: https://arxiv.org/pdf/2001.08361

1 more reply

dylan60422d ago

Great, when the AI bubble bursts, they can repackage their AI chips into consumer cards! /s

m4rtink21d ago

I am afriad thhe GPUs chips will be often useless (to power hungry, running too hot and needing too expensive accessories) but it might be possible to harvest the memory chips and put them on useful GPU cards.

j / k navigate · click thread line to collapse