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▲ simoncion an hour ago

> This seems like table stakes for testing these things now.

It is, and has been!

> I really don’t get it.

When clued-in people call shit like this "marketing stunts", this is what they're talking about. They're not saying "No, the actual events you describe didn't happen, you're lying."... they're saying "You've set things up -whether deliberately or incredibly negligently- so that you can apply quite a lot of 'spin' and get a hype-sustaining headline that provides material for your fearmongers to sell to the general public and lawmakers.".

Everything below this line is a combination of facts and educated speculation:

Both OpenAI and Anthropic have IPOs coming up soon. Companies preparing for IPOs engage in a lot of cost-cutting, because that's when their financials will be scrutinized by the public. On top of that, the rumor is that their datacenter deployments are going far slower than planned, and that in order to keep up the pace of improvements that they've set over the years, they've having to spend immensely more with each new product release. Being able to point to newly-minted US regulations that allow them to to dramatically slow the pace of new product releases [0][1] as the reason why they've dramatically slowed the pace of development -while failing to mention that that's exactly what would have happened had those regulations not been created- would be incredibly good for both companies.

Nvidia CEO Jensen Huang and former FTC chair Lina Khan both have publicly stated that there are many existing laws and regulations that prohibit much of the conduct that OpenAI and Anthropic have engaged in. If the CEOs of those companies genuinely believe that they're working on software tools that are so incredibly dangerous that they're likely to wipe out all of humanity, they can simply stop working on them. Given that they have no interest in doing that, state and federal government can apply the laws and regs that already exist to stop them from continuing work on these WMDs [2] and punish them for the harms that they've caused over the years while working on those WMDs and their precursors.

[0] ...and/or regulations that obligate them to sell only to US Government and pre-vetted US business customers and ignore the low-to-negative-profit consumer customers...

[1] ...which in turns lets them probably not get crucified by investors and business partners for saying "It turns out that new restrictive regulations mean that we don't need all of those datacenters, so don't worry about how way fewer than we said we'd build got built!"...

[2] I think it's fair to call any tool that has a 10% chance of wiping out all of humanity a "WMD".

▲hodgehog11 40 minutes ago | parent [-]

I love it when I hear all of this compounding evidence on this claim, because none of it is strictly wrong, but it misses the point, and lulls us into the feeling of having quick solutions available. Yes, the top execs are probably approaching things this way, but these labs are not that top down. There's too many things going on.

Here's a different idea: talk to the to the staff. Not the evil CEO, but the nerdy guy on the ground who graduated from a top university, wrote a few research papers, and got a job there. I have. They have rose-coloured glasses of the institution, and not a lot of life experience. They were never taught to be careful, and still don't really comprehend what they're working with. They don't see real danger, they see a toy, and they see research that is low-hanging fruit. What they are doing is basic stuff. They are not setting up proper sandboxes because they barely need to think at all. People seem to think that these are all amazing computer science experts working on highly advanced technology. They are not. OpenAI researchers see huge improvements on this gigantic toy, crazy behaviour, and they are enamored by it. "Oops, people are angry, so maybe I'll make a slightly better sandbox. Let me ask ChatGPT on how to do that." A more senior researcher would be horrified by how little effort they need to put in to get such terrifying results. Junior researchers think they're just top stuff.

But I appreciate your discussing how to isolate this stuff. I honestly don't think the OpenAI researchers I've spoken to are aware of this. (Anthropic is a totally different story, BTW.)