/lit/ - Literature

>>13360912
Most code these days could use a lot of optimization so even if moore's law plateaus there's the matter of simply doing more low-level optimization to achieve higher-end results using the same hardware. You'd be surprised at what can be done with optimization

https://www.youtube.com/watch?v=ZWQ0591PAxM


Also the internet of things is going to slowly engulf everything and devices will communicate with each other in such a way as to eliminate the need for humans in a lot of areas. Devices through neural networking, training sets, GAN, crowdsourcing of sample data, etc. will be able to automate tasks that traditionally require human intuition. Even programming will be automated through template metaprogramming, automated spec development, and neural networks meant to identify and solve existing problems in software.

Transistor limitations can be overcome through materials other than silicon, such as graphene. Problem is there's no way to mass manufacture graphene yet, so it will definitely be a few years, but that does not predicate a multi century plateau in information technology. Furthermore the availability of such means in the third world will certainly yield interesting and transformative results.

Sweet Jesus, Pooh...
That's not honey...