Lowering the cost of hardware still won't solve the issue. HBM and DDR5 was never cheap, even before the shortages, so selling a full inference system is beyond the acceptable price range for most casual customers.
We're going to see Apple and Google compete over services and AI/OS integration instead, it will probably be years before your OEM takes local models seriously.
Apple and Google (via smartphones) are in literally everyone's pocket.
Running KIMI on a phone is not possible today and I agree with you that it will "probably be years before..." it is.
But how many years do you guess? I personally do not think it will take even 10 years for the situation to be commonplace.
> I personally do not think it will take even 10 years for the situation to be commonplace.
Do you personally remember how far smartphones progressed in the past 10 years? It's not as long a time as you think it is, the limits of what a smartphone GPU is capable of did not substantially change in that time. Nor did the amount of onboard RAM that we include in the package. This is true even for Nvidia's ARM SOCs, frankly.
Apple, Microsoft and Google all eventually want to enforce OS-level lock-in for the most profitable AI services (eg. their own). It's much more attainable and profitable to use that lock-in to sell you exclusive service integration, the local AI revolution probably won't begin on their hardware.