[gruez]

>Open source models are available at highly competitive prices for anyone to use and are closing the gap to 6-8 months from frontier proprietary models.

What happens when the AI bubble is over and developers of open models doesn't want to incinerate money anymore? Foundation models aren't like curl or openssl. You can't have maintain it with a few engineer's free time.

[edoceo]

If the bubble is over all the built infrastructure would become cheaper to train on? So those open models would incenerate less? Maybe there is an increase of specialist models?

Like after dot-com the leftovers were cheap - for a time - and became valuable (again) later.

[bandrami]

No, if the bubble ends the use of all that built infrastructure stops being subsidized by an industry-wide wampum system where money gets "invested" and "spent" by the same two parties.

[edoceo]

I feel like that was happening for the fiber-backhaul in 1999. Just different players.

[compounding_it]

Training is really cheap compared to the basically free inference being handed out by openai Anthropic Google etc.

Spending a million dollars on training and giving the model for free is far cheaper than hundreds of millions of dollars spent on inference every month and charging a few hundred thousand for it.

[mikestorrent]

Not sure I totally follow. I'd love to better understand why companies are open sourcing models at all.