Earlier quoted context omitted.
Why in the world is that fishy? Isn't that exactly what almost everyone would do given that they wanted to see how capable their model is and the tense competition they have with Anthropic right now? Stealing impressive headlines from your competitor is pure gold.
If they were willing to spend 105 million it, perhaps. But that would be surprising. It’s fishy because they spent something like 15 million on the right one.
The Navier–Stokes Millennium Prize Problem
171–180 of 235 posts
Re: The Navier–Stokes Millennium Prize Problem
#172Earlier quoted context omitted.
If they were willing to spend 105 million it, perhaps. But that would be surprising. It’s fishy because they spent something like 15 million on the right one.
Again, that is the point. There is rumours that this one thing would be solvable, so they focus on this, spending 15m on one specific thing, instead of 105m on many. How is that fishy?
Re: The Navier–Stokes Millennium Prize Problem
#173> ... we heard rumors that two Millennium Prize problems had been resolved. Inspired by these rumors ... I've observed this exact effect last week. I made a discovery regarding a stepwise performance improvement in a codebase. I shared the benchmark results with a peer and within 12 hours they replicated the same. We had both been looking for this for years. I think giving someone hope that an answer exists might as…
I have a similar story, but perhaps even stranger. I work for a startup. We often bring a wooden arcade with us to conferences as a marketing gimmick. The arcade runs a single side-scrolling video game. You're running from a monster and dodging obstacles. The goal is to survive as long as possible, and your result is measured in meters. There are always a few competitive guys who spend the entire conference taking tu…
[1] https://www.nber.org/system/files/working_papers/w20343/w203... [2] https://en.wikipedia.org/wiki/Anchoring_effect
Re: The Navier–Stokes Millennium Prize Problem
#174Earlier quoted context omitted.
If they were willing to spend 105 million it, perhaps. But that would be surprising. It’s fishy because they spent something like 15 million on the right one.
Because that’s the one Anthropic was rumored to have solved.
Re: The Navier–Stokes Millennium Prize Problem
#175I find the claims from OpenAI somehow more relatable and reasonable. - They threw compute on a problem another team/company was rumored to have solved to see what their secret model could do. - The texts I read do make it seem like OpenAI wanted to talk and share credit generously. - Imagine working on a frontier math problem with someone at Anthropic and not only do you use Codex but also through a non-business acco…
It’s fishy though that they heard one of seven problems was about to be solved and threw perhaps 15 million bucks at the right one. [Edit: they said "two of": "On Tuesday, September 1, we heard rumors that two Millennium Prize problems had been resolved. .. we launched an effort ... on all open Millennium Prize problems".]
Re: The Navier–Stokes Millennium Prize Problem
#176If they wanted to solve a Millenium prize problem so much, why did they not try to solve P-NP instead? It boggles the mind.
Basically, it would be a proof that all the REALLY hard (combinatorial) problems out there, have a much simpler solution, if we were able to find it.
EDIT:
NS is used daily in engineering and gas/fluid modeling. We sort of “know it works”. The smoothness proof is “just” formalizing what practitioners assume is true (very coarsely said, no intention to diminish the result!)
It’s a bit like the Collatz function IMO, empirical evidence isn’t proof, but we’ve got a huge amount of evidence for the behavior we’re trying to prove.
I believe P vs NP is a different beast entirely. We don’t even know which way the answer should go.
Re: The Navier–Stokes Millennium Prize Problem
#177This imbroglio looks like a point in the journey for a firm that is realizing it is not going to make money selling shovels during a gold rush, and that it has more to gain from just… being vertically integrated across an industry.
Open models have definitely hampered the ability to sell tokens at a premium, so mass market adoption is impossible.
But then take someone like Jane Street, for example. They self report making $30bn leveraging LLMs. It’s a defensible assumption that they are making profit on it.
Perhaps it’s more profitable for OpenAI/Anthropic to build their own funds. They have the capital, compute, they can afford to recruit teams and buy any IP/Data required.
This isn’t a fully fleshed out argument, but it is the first time it feels like the winds are changing.
Re: The Navier–Stokes Millennium Prize Problem
#178Earlier quoted context omitted.
It’s fishy though that they heard one of seven problems was about to be solved and threw perhaps 15 million bucks at the right one. [Edit: they said "two of": "On Tuesday, September 1, we heard rumors that two Millennium Prize problems had been resolved. .. we launched an effort ... on all open Millennium Prize problems".]
Didn't they say that they launched an effort to evaluate their model on all open Millennium Prize problems, and then narrowed down to Navier-Stokes as the most promising after seeing results on simplified versions of the problems?
Re: The Navier–Stokes Millennium Prize Problem
#179LLM’s seem very good at solving mathematical problems of which there is an enormous amount of exisiting work/attempts in their training data. This is an amazing capability, but does not convince me that these models are «thinking» or «reasoning» in the way a human does. A human mathematician could in theory categorize/discover an entirely new field of mathematics tomorrow, based purely on their «human intelligence»,…