4k0hz

No idea about your setup but that's probably a fixable driver issue. My desktop with an RTX 40-series GPU takes _maybe_ 4 frames to create an OpenGL context.

> Introducing the all new Cerebras CS-4, a revolutionary rack-scale solution that delivers upto 30x faster inference compared to GPUs, enhanced economics, and a simple path todeploy [sic] hyperscale capacity.

Did nobody proofread this?

How is a founder meaningfully "technical" if they're not comfortable with things like using the terminal or writing SQL queries?

It's not really "instant", i.e. the text is still generated token-by-token, it's just super fast. Reasoning would work with this model without any changes to the chip but it's disabled for speed.

Or 12 trillion nuclear power plants with a capacity of 1 Wh each

I agree that it would help the site a lot but Pangram is notoriously inaccurate.

Quaaludes are maybe a better analogy since the original, strong ones are mostly gone and the pills being manufactured today are significantly weaker. And their effect on Wall Street's decision making is pretty comparable to AI's

It can suck but it doesn't always. It depends a lot on the calling language.

I think the target application is writing the same algorithm in multiple places with a guarantee that the logic will be based on a single source of truth. Not unlike Protocol Buffers work to standardize data layout across platforms.

It still feels overcomplicated compared to the standard solution of writing a library in a compiled language you like, exposing a C ABI compatible interface, and hooking it up to any language that can work with that (i.e. any language).

For now.. ;)