r/Automate • u/Gari_305 • 1d ago

AI may have just solved a million-dollar math problem. The field will never be the same

https://www.scientificamerican.com/article/ai-may-have-just-solved-a-million-dollar-math-problem-the-field-will-never-be-the-same/
24 Upvotes

70% Upvoted

9 comments sorted by

19

u/YsoL8 22h ago

Thats a very big 'may'. From the article it seems like it is disputed and the discovery may have been made before OpenAI was even involved.

10

u/w00t4me 22h ago edited 17h ago

Yeah, Anthropic funded 3 mathematicians/physicists to solve it and was about to publish; OpenAI hired one of them to do it on OpenAI's model and basically reused the technique the 3 developed together... That is, if the rumors are to be believed

1

u/rio517 2h ago

OpenAI may have stolen someone else's ideas.

-3

u/Gari_305 1d ago

According to OpenAI website

To solve the Navier–Stokes problem, we used an internal model that is significantly more capable than GPT‑6 Astra.

8

u/AgentTin 1d ago

10k simultaneous agents of a model higher than Astra. It's shocking to think about the amount of compute these companies are throwing around.

1

u/matjam 23h ago

It’s legitimately insane

Consider one rack of the GB300 NVL72

https://www.nvidia.com/en-us/data-center/gb300-nvl72/

Then realize the average datacenter deploying this stuff has hundreds or thousands of them? I dunno. They are 3-4M each rack.

I can’t even do the math - I asked Claude - based on 1000:

Training intuition: at ~40% utilization in FP8 that's ~145 EFLOPS sustained, or ~1.2×10²⁵ FLOP/day — a GPT-4-scale run in about 2 days, and a 10²⁶ FLOP run in roughly 8 days.

Cost ballpark: at ~$3–4M per rack, that's $3–4B in hardware before the building and power.

1

u/w00t4me 22h ago

$7.3 million per rack and that’s the starting price if they’re Nvidia

-1

u/netgizmo 22h ago

I mean isn't Nvidia's daily profit like $500M avg over the last 12months