Microsoft has Copilot Plus PCs loaded with AI, and rumors are that Apple is all in on AI, too, but if you don't want AI in everything you do, there is another option: Linux.
At least with the more advanced LLM’s (and I’d assume as well for stuff like image processing and generation), it requires a pretty considerable amount of GPU just to get the thing to run at all, and then even more to spit something out. Some people have enough to run the basics, but most laptops would simply be incapable. And very few people would have resources to get the kind of outputs that the more advanced AI’s produce.
Now, that’s not to say it shouldn’t be an option, or that they force you to have some remote AI baked into your proprietary OS that you can’t remove without breaking user license agreements, just saying that it’s unfortunately harder to implement locally than we both probably wish it was.
That’s true but if you don’t mind the fact that the AI can’t learn anything new you can actually go hardware optimization routes and get pretty good performance. We’re starting to see AI chips being made. They will do for AI what GPUs did for graphics.
However these hardware optimized chips are only for running the AI you still need GPUs for training it. I could see a situation where new models are trained by big companies and then the results are sold to individuals who then buy the packages and install them on local chips.
At least with the more advanced LLM’s (and I’d assume as well for stuff like image processing and generation), it requires a pretty considerable amount of GPU just to get the thing to run at all, and then even more to spit something out. Some people have enough to run the basics, but most laptops would simply be incapable. And very few people would have resources to get the kind of outputs that the more advanced AI’s produce.
Now, that’s not to say it shouldn’t be an option, or that they force you to have some remote AI baked into your proprietary OS that you can’t remove without breaking user license agreements, just saying that it’s unfortunately harder to implement locally than we both probably wish it was.
That’s true but if you don’t mind the fact that the AI can’t learn anything new you can actually go hardware optimization routes and get pretty good performance. We’re starting to see AI chips being made. They will do for AI what GPUs did for graphics.
However these hardware optimized chips are only for running the AI you still need GPUs for training it. I could see a situation where new models are trained by big companies and then the results are sold to individuals who then buy the packages and install them on local chips.