I have several issues with this post.

First of all, looking past the objectively wrong phrasing (computers can, and clearly do make decisions), can computers be accountable? This might not be so cut and dry as to instantly say no. This one will keep ethics, philosophy and legal practitioners busy for some time. It's certainly not going to be decided in HN comment or a blog post.

Second - while the AI labs have shown utter incompetence in properly sandboxing their agents, intent is still important. I don't think the labs deliberately meant for their agents to hack this or that. Should they be accountable? Yes but I wouldn't go as far as saying this is deliberate.

The next point is about cherry picking some "doomsday" scenarios like AI ending humanity and then blaming this on the reader (!) for paying a subscription. - People pay because AI is USEFUL, and massively so. You could just as easily pick incredible achievements propelled by AI, in mathematics, software, reverse engineering, role playing. Unlike the "end is nigh" ideas, these advancements are actually real, and they are happening right now.

And last, the author says AI labs can just stop the agents at any time. I agree there needs to be better discovery and mitigation, sandboxing and monitoring. But when you run a billion agents, it's always going to be a numbers game and there will always going to be some challenge in fully containing all breaches. This will only get more difficult with better models, because they're getting smarter and they know how to work around things, sometimes better than we do.

So what's the solution here? There are options, but they're all tradeoffs. I hope we get better at this and maybe working on cutting edge models should breed some new best practices which were once only reserved for defense tech.

The precedent I would point to are Dangerous Dog Laws. We hold the owner responsible for the behaviour of their dogs.

Revisit later if the comparison starts to become ridiculous.