top | item 46910643 (no title) byzantinegene | 24 days ago no, and that is widely known. the actual problem is that the margins are not sufficient at that scale to make up for the gargantuan training costs to train their SOTA model. discuss order hn newest JamesBarney|20 days ago They are large enough to cover their previous training costs but not their next gen training costs.i.e They made more money on 3.5 than 3.5 cost to train, but didn't make enough money on 3.5 to train 4.0. aurareturn|23 days ago Source on that?Because inference revenue is outpacing training cost based on OpenAI’s report and intuition. cma|23 days ago Net inference revenue would need to be outpacing to go against his think about margins.
JamesBarney|20 days ago They are large enough to cover their previous training costs but not their next gen training costs.i.e They made more money on 3.5 than 3.5 cost to train, but didn't make enough money on 3.5 to train 4.0.
aurareturn|23 days ago Source on that?Because inference revenue is outpacing training cost based on OpenAI’s report and intuition. cma|23 days ago Net inference revenue would need to be outpacing to go against his think about margins.
cma|23 days ago Net inference revenue would need to be outpacing to go against his think about margins.
JamesBarney|20 days ago
i.e They made more money on 3.5 than 3.5 cost to train, but didn't make enough money on 3.5 to train 4.0.
aurareturn|23 days ago
Because inference revenue is outpacing training cost based on OpenAI’s report and intuition.
cma|23 days ago