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@lxo The way things have been going for years is this:

1. LLMs are being made larger and larger, which requires larger GPU clusters and more datacenter space.
2. Generative AI, built on LLMs, are being used to commit plagiarism at scale. This is where most people's outrage is.
3. The AI investment circlejerk.
4. The ongoing centralization of compute, which concentrates power and drives enshittification.
5. Grifters and media hype.
6. Top-down "AI-first" dictives from Tech CEOs who are cashing in on investments related to the previous 5.
7. The ongoing harms of (2) to creative work.

I'm focused on killing 1, which directly affects 4 and 5 in some way. I'm not offering a silver bullet for 2, 3, 6, or 7.

But if people with AI expertise were to choke out the centralization of this tech by obviating the big data center investments through "can run on a low-power device in your home", that won't be without impact.