> Upscaling for gaming or video. > Already exists on all three major GPU manufacturers, and it definitely makes sense as a GPU workload. These AMD chips are AP

> Upscaling for gaming or video. > Already exists on all three major GPU manufacturers, and it definitely makes sense as a GPU workload. These AMD chips are APUs that are often the only GPU, not every user will have a dedicated GPU. > Local context aware search > You don't need an AI processor to do this, Windows search used to work better and had even less compute resources to work with. You could still improve it with increased natural language understanding instead of simple keyword. “Give me all documents about dogs” instead of searching for each breed as a keyword. > Offline Speech to text and TTS > See my point about not a very common use case for desktops & laptops vs cell phones. Maybe not for you but accessibility is a key feature for many users. You think blind users should suffer through bad TTS? > Offline LLM that can work with your documents as context and access application and OS APIs > Maybe for some sort of background task or only using really small models <13B parameters. Anything real time is going to run at 1-2t/s with a large model. > Small models are pretty terrible though, I doubt people want even more incorrect information and hallucinations. Small model have been improving and better capabilities in consumer chips will allow larger models to run faster. > Improved enemy AI in gaming > See Ageia PhysX Surely you’re not suggesting that enemy AI is solved problem in gaming? > Webcam effects like background removal or filters. > We already have this without NPUs. Sure but it could go from obvious and distracting to seamless and convincing. > Audio upscaling and interpolation like for bad video call connections. I could see this, or noise cancellation.