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You don't need to kill all humans, you just need to get better than them at zero sum games like resource extraction, and outcompete them. Then, you protect what's legally yours.

AI labs are working very hard at making them good at making them richer, and at making them respect the property rights of corporations.

For a few million a year, I'd say the same thing.

We're currently putting it into all sorts of critical systems, from logistics to power. It could just stop running them on our behalf.

Well, that's kind of like saying that brains can't do anything other than trigger weights on neurons.

They're part of a whole system.

But not different enough to prevent people from using them.

This sounds like a great foundation for an adtech startup.

If you provide free chatbot services, but sell advertisers bids on which steering vectors to use to bias towards products, based on an embedding of the prompt, I bet you'd make a ton of money. For example, Coca Cola would bid on prompts about drinks, and bias towards mentioning Coke products.

I wonder if you could also use a similar method to do product placement in GenAI images and videos, and whether ad revenue would be enough to offset the price of generation. Some ad bids can go pretty high...

Sure, if these kids can all perform at Tao's level, they could likely be able to keep up with the AI capabilities from a decade before they would enter the workforce.

It seems unlikely that we'll be able to keep up with AI in any capacity. Your alternative seems like the inevitable outcome of AI succeeding, and it doesn't sound so bad.

Let's see you solve some open problems before you dismiss LLM capabilities. They're working at a level far beyond all but the best of the best.

And we're only a couple of years in. Their capabilities aren't going to be getting worse over time. These kids will be hitting the workforce after AI has another decade of improvement put into it.

The answer is mostly "do nothing, the model will figure it out", with a side of "ask the model to check its work".

This matches my experience, where the job of the engineer is mostly copy pasting requirements, letting the model do the thinking, and then manually testing the results.

They hold your tls keys and can decrypt all your traffic. They're MITM as a service, by definition. They have to be able to in order to cache and forward appropriately.