https://www.servethehome.com/wp-content/uploads/2023/10/NVID...
Tbh it’s mildly surprising they even removed NVENC considering the overall size of the chip (in the absolute we are only talking about low-single-digit mm2 savings) and then H100 is still advertised and has features targeting VM graphics/visualization still… remember they also still put a full graphics pipeline with ROPs/TMUs on the chip, just no actual display hardware.
If your code offers an expectation of determinism then it's sloppy to not distinguish where there isn't determinism. There's nothing difficult about writing a comment to the effect of "this function is non-deterministic. For deterministic results, use X".
The code is sloppy if the developers didn't consider determinism and offer nothing to consumers, or if the consumers writing software cannot know where non-determinism is introduced.
If that's somehow insulting then I'd say someone has very thin skin.
1: https://pytorch.org/docs/stable/generated/torch.use_determin...
It's not perfect but a group of aligned people in the same physical working space will just dominate a similar group spread apart that has to use chats & zoom to communicate. Management has got to be seeing this, in various forms, across multiple business segments.
There's no data on this, at the very least you could mention that it's only your personal impression ?
IMO (and this is clearly a personal take) there are two competing effects: - higher bandwidth and easier to align face to face - more distractions, interruptions, more complicated to get things done
If you're in a business or position where you have no IP or nothing hard to do per say, you'll see the first one dominate. If you're somewhere with IP and competitive advantages through smarts then I'd say (personal again) the second effect can come to dominate.
Google pulling a "no remote" move means to me that their competitive advantage in terms of engineering and smarts is not a priority + using the fact that the market swung back towards employers vs. employees. But not general comment about "this take is obviously so much better", this is just intellectual lazyness I believe
Someone even figured out they could get great compression of specialized model files by first subtracting the base model from the specialized model (using plain arithmetic) before zipping it. Of course, you need the same base file handy when you go to reverse the process.
https://www.reddit.com/r/StableDiffusion/comments/xmr3ic/spe...