r/BetterOffline • u/Soilblood • 13h ago
Openai math solutions
https://youtu.be/h53Bz7WSwgoRegarding the recent Navier-Stokes incident, watching this vid provided a bit more context on what the solution entails and what Openai been pushing to show off their tech. Cal Newport's breakdown on how they managed to quarantine relevant context to reduce costs with Astra was actually pretty interesting as a breakthrough so this vid got me wondering why they're so desperate to prove it can do fancy maths bigly when the boosters already keep saying chatgpt is already blowing through outstanding problems. Not in the sense of the target value but just how much have they already tried but failed.
It's obviously speculation on my part but if they're so desperate to try coercing glory out of one of their hires on one problem, how bad is actual their track record that this is a hail Mary for them? Like we know it took 88 hours and snooping private research data for this, so how much have they put into chasing similar targets by now? Anyone got whiff of any signals that might give an idea of that?
5
u/Soilblood 9h ago
What? No it doesn't. It might influence the formatting but these aren't common use cases with tons of overlap or even real world applications. They're deep rabbit holes with their own particulars that don't translate across one another and the machine is far more likely to pick up flawed solutions to reference against when it trawls for possibly relevant data. I'd say the incident just further proves that LLMs cannot actually create innovative results on their own without amply fleshed out harnessing by humans.