Replying to @⁨beep@piefed.world⁩

“Look how low our cost of inference is”

“Pay no attention to the marketing budget that exceeds Coca-Cola’s for a small fraction of their revenues”

What technical, fundamental reason is there for the crash in price? The article just accepts the MSRP as fact. It’s established fact that retail prices can be dropped below cost in order to establish market dominance. The cost of training can indeed be spread over time but it’s not spread across enough time (between model releases)The inference cost doesn’t actually drop in reality.

Replying to @⁨CompactFlax@discuss.tchncs.de⁩

What technical, fundamental reason is there for the crash in price?

Smaller models are inherently faster, and use less gpus to fit inside, and less gpu time per training step. Newer models are smarter at smaller size than older models, and so also come up with correct answer in fewer tokens.

There are 15 labs accross the world competing without patent restriction for software building. It’s orders of magnitude faster than Moore’s law, because its highly competitive, and software has massive “compiler” resources thrown at it, in investor/government frenzy.

en