The experiment to observe this behavior is pretty simple though (Young's double slit), and it was conducted more than 200 years ago. The explanation came much later but it's not like the phenomenon was hiding somewhere.
10,000 square meters sound suspiciously small for a datacenter, even more so if you have to account for supporting facility? Maybe a small one? it's just 100m by 100m, which is smaller than most Walmart Supercenter.
JSD is just symmetrized KL, it's the forward KL + reverse KL.
In reinforcement learning, usually what we want is to find the optimal action, i.e. action that maximizes the reward, this translates to the so-called "mode-seeking" optimization, which is the reverse KL.
If you actually use them you'll see that they are far from frontier models. They are much more cost-effective for what they are, but frontier they are not.
Thing is these models can also be a propaganda machine whether you run it locally or not. This is true no matter the origins. Chinese LLMs will never shit-talk CCP, and it will always give a rosy depiction of the Chinese government. It's perfectly understandable if companies don't want things like that. US/EU models have these problems too, but at least there are some ways to fight that: with a lawsuit or a megaphone on social networks. With Chinese models there is nothing you can do.
And all of them will learn how expensive and difficult it is to make good hardware that the majority actually wants to use. Meta learned this the hard way (Facebook phone, Oculus, Meta home devices, etc.), the same for Google. I don't think OAI and Anthropic have the capital and time to ride out the hardware loss. Google and Meta could afford their hardware blunders because it's not their revenue sources.
I use Blind sometimes to check the TC of a company. Most of the posts/comments there are either stupid, sexist, racist, or all of them. But it does feel like most of them are real. Blind requires verification by company email for posting, which I guess eliminates most of the bots.
This provides a high-level overview of diffusion models, you know, the models behind Stable Diffusion, Gemini banana, etc.
I haven't read it carefully but I think it's pretty comprehensive. From SDE to Flow matching formulation, and different perspective of constructing the flow maps, i.e. x-formulation or v-formulation. It also deals with distillation and consistency, which is used to fast sampling.
Overall, it's a good read if you are new to the field.
Don't you understand that the default shouldn't be changed at all in this case? It improves nothing and affects every single user. If an org/project wants this behavior then it can enforce this flag for its contributions. The only valid reason for this change is someone's performance somewhere in Microsoft is dependent on VS Copilot usage metric.
Both can be true. The current form factor of VR headset is too cumbersome for daily use. And Apple being Apple, they made a beautiful Ferrari that has no wheels.
Are you sure? Jordanians tried and it burned them spectacularly. And if my memory served, Egypt also tried to some extent and eventually was eagerly and happily offloading Gaza into Israel's hands. Then, they built a huge border defensive line to keep Gazan out that would make Trump's Mexican border a joke in comparison.