The difference is that one is physical and the other digital. Digital art, even if exceptionally high quality, has been commoditized by artists from developing countries asking dumping wages, and not recovered since. People who have enough money to buy for the "soul" of an object, and the labor behind it, usually buy physical.
You'd need the 256 gb memory model which will be expensive because apple has trouble getting capacity (got turned down by cxmt). And even then you can only run a 2 bit quant which is noticeably worse than 8 bit
OpenRouter shows the cache hit rate and calculates an effective pricing per provider if you scroll down on the model page. Note that some providers run fp4 versions of models. DeepInfra often does this
This is one of the most impactful mathematical publications in history by all accounts
I think we've now hit a point where 99.9% of the population gloss over these types of AI advancements because of human competence being insufficient
No human could have published this because it requires paradigm shifts (e. g. Section 5) in multiple mathematical domains. Mastering one of them to this degree is rare, mastering 3+ pretty much non existent for humans.
Why do you cite him from 2024 when he spoke about it much more recently? This is a quickly moving field after all
> “I think we’re going to see AI get even better,” Hinton replied. “It’s already extremely good. We’re going to see it having the capabilities to replace many, many jobs. It’s already able to replace jobs in call centers, but it’s going to be able to replace many other jobs.”
OpenAI's Orion (GPT 5/Next) is partially trained on synthetic data generated with a large version of o1. Which means if that works the data scarcity issue is more or less solved.
> Turns out to not audit dependencies