![[H]ard|Forum](/styles/hardforum/xenforo/logo_dark.png){kind=logo}
![Zarathustra[H]](https://cdn.hardforum.com/data/avatars/m/9/9298.jpg?1707758471){kind=avatar}
Nah, it was crystal clear.
Has of now it tend to be from my experience first and foremost a open a browser google-duckduckgo something, click on the link, look at the webpage replacement.
The search engine you will use instead of searching with copilot will also use AI, trying to avoid weighted matrix calculation as a form of compute will probably sound very strange to your future self, a bit like the people angry at GPU existence when they launched (even if all the worst element they predicted occurred from them).
This is pretty much what copilot is.
But the search engine you use with your browser will use it (from the word suggestion to the result page), I do not think it will be much of a practical choice.
fn = function, as in secondary, like back light controls, media player buttons, or to turn off the touchpad etc. its usually designated by a color(ibm uses blue iirc) or like the fujitsu i have in front of me they are in a white square to show what they are.
That was done years ago. I do remap the same keys under Linux!.
Also running those datacenter with current inference cost per token must cost Microsoft a little fortune right (free bing image for example), turning all those cost back to consumer would be nice. They will talk about lower latency for the users in exchange for shifting the cost, but I am not sure high speed internet is a big part of it at the moment. They will talk about security that would be a non issue for a lot of use case for a lot of people and I am not sure they local computer would be more secure that what a company like microsoft can do.
That and advances in PyTorch allow for things to be split between GPU memory and system RAM (we can thank the Nvidia embargo for that feature) which greatly simplifies the deployment as Microsoft can just choose to use system RAM exclusively at that stage which removes the need to worry about how much actual VRAM is present as long as they have sufficient system RAM to facilitate their job.
I use it a lot. Win+L at work.
Oh man back in the day sending the unlocked machines around the office to badgerbadgerbadger.com
But don’t forget Win+D
Yes I think that for sure, at least for things that some latency between the result and the CPU does not matter, this is not for people with a 2060 or high nvidia card that can throw hundreds of watt to the problem but more for Laptop without a dedicated GPU I presume or for task where the GPU is quite busy already..
From my very limited understanding it would be quite the challenge memory wise to work on the same context doing inference and for a lot of task the previous token is an input for the next calculation, parallelism making more sense to handle many different requests at the same time.
I think they are very misleading, for example:
For those APU affair, NPU-CPU-iGPU all use the same memory pool, which could make the idea of working together quite easier here.
Of course not, but you don't need an AI algorithm for local search. That is what indexing is for on Windows.
I think it’s a placement problem, the search box still does search without all the AI stuff but now it also does all the AI stuff. So you don’t know when you are or aren’t doing something with CoPilot when you use the box.
