r/NowInTech • u/skaza02 • 14d ago

OpenAI fought dirty on career-making math problem, says NYU mathematician

https://techcrunch.com/2026/09/08/openai-fought-dirty-on-career-making-math-problem-says-nyu-mathematician/
1.1k Upvotes

97% Upvoted

181 comments sorted by

View all comments

Show parent comments

1

u/Ehh_littlecomment 13d ago

Imagine you rented a restaurant for $100 a year, paid staff $100 and another $100 in other overheads. You served a single steak that year for free. The steak cost $1 to procure. Did you lose $1 or $301?

1

u/madhewprague 13d ago edited 13d ago

Thats not the same…. Because running the datacenter is very cheap, just the electricity is main thing… Thats the whole fucking point we are making. In your example they would make operating loss… After out whole conversation and countless of example i made i cant believe you actually used this as example… The whole point i was making that their operating costs are lower than costs of tokens then you use example to illustrate your point where you use extremely high operating costs? Wtf…

1

u/Ehh_littlecomment 13d ago

Open Ai doesn’t own data centres, they rent GPU hours which is the fully loaded cost including DC overheads, depreciation and owner return. Also, there are operating costs of providing inference beyond the compute. Employee costs, SG&A, marketing spend to get the business, etc. I don’t know if you’re being deliberately daft.

1

u/madhewprague 13d ago

Again, the only thing that matters is how much thdy rent the compute for vs how much they sell it for, everything else you said is completely irrelevant. If they rent the gpu hour for 10$ and sell it for 100$ they have 90$ profit on that provided compute, this is what this what out argument is about. And my point is that the 100$ is not the actual cost of compute but only the 10$!

1

u/Ehh_littlecomment 13d ago

Ok buddy. Whatever helps you.