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Cake day: June 9th, 2023

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  • To illustrate your point, my old GPU, a GTX 1080 from 2016 (basically ancient history - Obama was still president back then) remains a very useful for ML-applications today - and this isn’t even their oldest card that is still relevant for AI. This card was never meant for this, but thanks to Nvidia investing into CUDA and CUDA being useful for all sorts of non-gaming applications, the API became a natural first choice when ML tools that run on consumer hardware started to get developed.

    My current GPU, an RTX 2080, is just two years younger and yet it’s so powerful (for everything I throw at it, including ML) that I won’t have to upgrade it for years to come.




  • It could be regulated into oblivion, to the point that any commercial use of it (and even non-commercial publication of AI generated material) becomes a massive legal liability, despite the fact that AI tools like Stable Diffusion can not be taken away. It’s not entirely unlikely that some countries will try to do this in the future, especially places with strong privacy and IP laws as well as equally strong laws protecting workers. Germany and France come to mind, which together could push the EU to come down hard on large AI services in particular. This could make the recently adopted EU AI Act look harmless by comparison.