Their innovations in training efficiency were almost guaranteed to have been heavily considered by the big AI labs. For example, Dario Amodei talks about the efficiency improvements being the real important contribution of DeepSeek V3 here: https://www.darioamodei.com/post/on-deepseek-and-export-cont...
> DeepSeek's team did this via some genuine and impressive innovations, mostly focused on engineering efficiency. There were particularly innovative improvements in the management of an aspect called the "Key-Value cache", and in enabling a method called "mixture of experts" to be pushed further than it had before.
And the saltiness of US labs about DeepSeek is well-known. "O3, explain model distillation like I'm five."
No Sam, explain intellectual property rights to the judge in the NYT test case asshole.
Watching the Chinese labs kick the shit out of better funded US enclaves of TESCREAL psychopathy in the public fucking domain is gravy.
I don't care that their internal calculus or that of the PRC is to Cloud Strife Limit Break a bunch of "shareholder value" in the form of a bloated NVIDIA cap feeding frenzy by bloated "public benefit corporations" with a bunch of creepy ties to Thiel et al: they're publishing papers, code and weights. So they're hoovering up of the commons has something of value going back into the commons.
So yeah, fuck Sam and its going to be fun watching OpenAI and Anthropic pivot ever more towards trying to outlaw competition than they already have. Amodei already sounds like Donald Rumsfeld on Taiwan hawkishness, this is not the positioning of someone who loves their product roadmap.
It turns out that a zillion ScaleAI and SurgeAI turks don't have economics any better than paying NVIDIA to run 85% net earnings for CapEx that's obsolete by the time its racked and powered.
Native Sparse Attention matters. Your commentary is beneath this paper.
I applaud their open efforts. But being "altruistic" and being best are two different things.