Open source AI makes modern PCs relevant, and subscriptions seem shabby
This time last year the latest trend in computing became impossible to ignore: huge slabs of silicon with hundreds of billions of transistors – the inevitable consequence of another set of workarounds that kept Moore's Law from oblivion.
In the first half of 2022, corporate computing looked pretty much the same as it had for the last decade: basic office apps, team communication apps, and, for the creative class, a few rich media tools. Sure, gamers would always find a way to put those transistors to work, but the vast majority of hardware was already overpowered and underworked. Why waste transistors on solved problems?
Then the world changed again. In August, Stability AI introduced an open source database of diffuser weightings. At its start, Stable Diffusion demanded a state-of-the-art GPU, but the open source community soon found it could optimize the diffuser to run on, well, pretty much anything. It wouldn't necessarily be fast, but it would work – and it would scale up with your hardware..
completely rewrote our expectations for artificial intelligence, becoming the fastest web app to reach 100 million users. A large language model powered by a"generative pre-trained transformer" – how many of us have forgotten that's what GPT stands for? – that trained its weightings on the vast troves of text available on the internet.
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