CoolGuySteve
Joined 15 years ago
Joined 15 years ago
That's why they were cheap before.
Also "Some stupid game", who woke up and made you king of hobbies.
Lol no, I've yet to find a model with those properties. Sounds like a fast track to AI psychosis.
The domain I work in doesn't have enough public documentation for these models to be particularly helpful without a lot of handholding though.
Once it can search for factual information online the smaller model size becomes less noticeable
It's actually about the same speed when accounting for how much more responsive my system is to Anthropic's saas infrastructure
Probably the most damning fact about LLMs is just how poorly written their parent companies' systems are.
Apparently it's still in discussion but it's April now so seems unlikely.
Kind of weird how controversial it is considering DOS had QEMM386 way back in 1987.
I wonder if it's Stockholm syndrome or if I really do prefer it. It's a totally fine font, I've never felt the need to change it. All the default open source mono fonts seem completely adequate I suppose.
I think geohot is burying the lead in this text in his post with a lot of speculation.
It's not not that these specific models will become closed it's that the hardware/hosting vendors have an incentive to train models where inference is custom tuned to their chip's dimensions and VRAM.
The Chinese models do a great job of showing what's capable on consumer/prosumer hardware because of export restrictions but anyone entering the hardware space has the same incentives to undercut the frontier labs so they can sell more hardware.
It's also not clear if being at the forefront of inference quality really matters. The open source models appear to be doing a fine enough job of keeping up even if they're a few months behind. So it seems like there's not much of a technology moat for these labs other than the capital costs of training/serving.