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Sadly it is almost inevitable we'll have another Bredolab-size botnet (30 mln computers, 1% of all) by cybercriminals but this time it'll be an AI botnet.

As soon as AI components will be useful, they'll be in botnets. And with such a size, you have more compute than OpenAI and can train a frontier misaligned model or modify an open source one:

The solution is to not just have 10% of compute in clouds like we have now but at least 50% in SOTA clouds, to have more compute than botnets. Have AI model App Store, probably NVIDIA will become like Apple:

Will have at least the most minimal checks on what runs on their hardware

We'll have to do it but better to do it early not late

It can be a unicorn startup that NVIDIA will want to buy (motivating gamers to put GPUs in clouds is easy, same with others really, you can share $30-1500/month with them by renting GPUs from your cloud to corporations and others)

There is Salad but they don't secure the hardware and software, so can't really have corporate clients. Amazon AWS, Azure, others, show that it's a real business. Unicorn-sized just in the USA (even bigger if global) if you'll do the math



>And with such a size, you have more compute than OpenAI and can train a frontier misaligned model or modify an open source one

That doesn't seem like a reasonable conclusion based on Open AI and leading lab expenditures. They need training data too, would one group actually be able to amass all of this? If you hijack 30 million random computers that's not as nearly as useful as 300K B200 GPUS for model training. Am I missing something?


It's a lot, but you're right that the more realistic scenario is just running an existing open source model - sadly those are trivial to misalign

So we better have SOTA clouds: people don't update computers for months and as Bredolab shows - their GPUs are up for grabs

Ideally and int. org. will do it but they are slow and countries don't cooperate enough, so a startup is more realistic




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