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I hadn't heard about those particular fake videos, any good articles I can read? Would you say my ai+ethics coverage is so mild that it doesn't protect me being labeled as a breathlessly proselytizing LLM shill?

Avoiding "accelerating tech in the hands of the powerful" is a driving motivation for me - it's why I spend so much effort showing people how to understand and use this stuff, and why I track both openly licensed models that run on personal devices and the falling costs of hosted models

It's also why I've been so celebratory of the increased completion from more vendors - the idea that only a tiny group of (or even just one) organizations could have exclusive control over this kind of technology terrifies me

We know how to build LLMs now, and it turns out it's not even particularly difficult: read some papers, scrape the web and spend a few million dollars on GPU compute We can't uninvent them, and now that they're being trained around the world I very much doubt we can legislate them away either

Given that, my focus is on how we make the best of the situation: how can we help people understand them and encourage their positive applications? Turns out I first wrote about that two years ago here: simonwillison.net/2023/Mar/11/...

simonwillison.netLarge language models are having their Stable Diffusion momentThe open release of the Stable Diffusion image generation model back in August 2022 was a key moment. I wrote how Stable Diffusion is a really big deal at the …

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I've been trying to encourage exactly those kinds of discussions That's what frustrates me about much of the AI skeptic discourse today: feels like 95% of it is environmental impact and ethics of training data, when discussing the ethics of how it is used feels MUCH more important to me