[Grimblewald]

Meta has made some fantastic llm's publically avliable many of which continue to outperform all but the qwen series in real world applications.

LLMs cannot do any of the major claims made for them, so competing at the current frontier is a massive resource waste.

Right now a locally running 8b model with large context window (10k tokens+) beat google/openAI models easily on any task you like.

why would anyone then pay for something that is possible to run on consumer hardware with higher token/second throughput and better performance? What exactly have the billions invested given google/oai in return? Nothing more than an existensial crisis I'd say.

Companies aren't trying to force AI costs into their subscription models in dishonest ways because they've got a winning product.

[HDThoreaun]

I dont really agree with your perception of current LLMs, but the point is it doesnt even matter. This is a pr war. Lecun lost it for meta. Meta needs to be thought of as an AI leader to gain traction in their metaverse stuff. They can live with everyone thinking theyre evil but if everyone thinks theyre lame has beens they are fucked.

[Grimblewald]

are they thought of as lame has-beens? OR even on a trajectory for that to be thought of them? I don't think that's true, at least not in my circles. Like you said, evil, sure, but not has been.