I’ve always treated my home server with public facing services as presumptively compromised. I don’t put any data on there I wouldn’t want to see become public, and any data I actually care about losing is backed up to the cloud with an append-only key. The NixOS config lives in a git repo not on the server. If something bad happens, I can wipe the machine clean, redeploy the image, restore my backups, and we’re back to the status quo.

So, my threat model hasn’t changed much!

They really want people scared, ehh?

note that you probably need to trust the remote household with your data

Probably not actually. Borgbackup (and any sensible encrypted backup system really), does client side encryption. So the data should be encrypted before it’s even sent down the wire. The remote household shouldn’t be able to access the data without the encryption key/password.

I mean, they will have to trust the remote household not to destroy the data, but that’s pretty much an unavoidable limitation.

You’d better give us money and not try to regulate us.

Actually, right now, the western AI companies desperately want regulation.

An unregulated environment is one where they’re forced to compete on price against the Chinese companies and startups running open-weight models. All signs point to them losing that battle.

OpenAI/Anthropic’s wish list right now is a bunch of regulation to prevent the use of foreign models, and to require expensive to implement “safety” requirements that make it hard for startups to compete.

You absolutely shouldn’t be angry!

The existence of powerful open-weight models is the single thing that’s going to prevent us from descending into the full corporate dystopia everyone’s afraid of.

It’s going to hit the stock market hard once everyone figures out what’s going on though.

[forget]
keep-daily = 10
keep-weekly = 4

Daily backups are cheap because of de-duplication. I keep a few weekly backups in case it takes me a bit to notice something went wrong. I don’t usually back up logs.

I could probably drop the weekly backups without much risk, but I’ve got the space.

The hilarious part is, yes, I don’t care how fast my launcher is.

But… also, Steam is by far the slowest, least responsive program on my computer.

“Faster than Steam” feels like a joke.

I don’t use a lot of non-open source applications (and not a lot of desktop applications generally). Have they gotten so bad that the slowness of Steam doesn’t feel bad to people anymore?

I really hate that that comment is getting upvoted.

People love to hate on things a lot more than they like to understand how things actually work.

To make your point more explicit, CEOs often don’t have to sit for depositions because they legitimately aren’t the people who know the facts the cases turn on. When the CEOs are the right ones to talk to, courts don’t hesitate to make them show up.

Don’t get me wrong, I hate big corporations plenty. Don’t get me started about Meta or Microsoft. But can we please hate them for actually good reasons instead of making reasons to hate them up?

the models only need to be right some of the time and they still constitute a threat.

Right!?!

And with how cheap and fast they are to run, they don’t have to be right that often as long as a separate run can verify/validate claims. In a lot of ways what the LLMs do should probably be thought of as just a very sophisticated sort of brute force approach. You’re effectively just searching the space of combinations of known vulnerabilities. It doesn’t require particular cleverness, just an encyclopedic knowledge, a reasonable way to prune the search space, and the ability to put in the compute time.

I must be missing something, because you’re getting a bunch of upvotes. I don’t disagree with anything you said, but it feels like a total non-sequitur to what I was saying.

Yes - proper air-gapping is a good idea. But asking the big AI labs to air gap is kind of pointless. Liability already gives them legal incentives to avoid incidents. If that didn’t stop them, a letter signed by a bunch of academics sure won’t. More importantly, open-weight models capable of doing all the things that we’re concerned about are already in the hands of bad actors around the world.

This letter is asking us to lock the front door of the house when the back wall is missing.

The ones in Russia definitely are. They don’t have to be local models - you run them in the cloud like anyone else.

The idea that the frontier labs have LLMs with special capabilities that make them dramatically better than the top open-weight models is largely marketing.

The reality is that most systems are poorly secured, and LLMs make exploiting vulnerabilities fast, cheap, and easy. What would have taken a trained security researcher weeks before can be done by a much less skilled attacker with an LLM in a few hours.

This is stupid. Open-weight models that can largely do what the OpenAI/Anthropic models did are already out in the wild.

Do these people not understand that you can’t put the cat back in the bag?

It’ll be really interesting to see how this dynamic changes post-midterms.

Right now it’s pretty clear Trump is doing his best to just avoid having Iran in the news.

After the midterms, incentives change a lot. Trump will never be up for re-election, and I’m not sure at that point if he cares much about public opinion. In some ways, he’ll have a lot fewer constraints. But… he’ll probably lose congress. He likes to ignore congress though.

I don’t know how this is going to play out, but I think we’re in for a real shit-show after the midterms.

It doesn’t even have to be only for known devices. Once you’ve compromised one device, you can just phone home to have a full powered LLM do your work.

The only real use cases for this would be on closed networks with no internet access, or networks where the traffic is closely monitored. Like, yeah, if I’m trying to hack the CIA, maybe I consider something like this. For the vast majority of devices and networks, this is inefficient and unnecessary.

I mean, it is kind of cool. But vanishingly few organizations have tight enough security that this is worth doing.

I think people are right that the solution here isn’t to try a different project.

Instead of being confrontational about it, though, I’d recommend a different aproach.

evelyn: .lol 😜

you: I know! I know. The branding is pretty silly. But this really is the right tool for the task. Unesco and Wikimedia use it. And we can do our own branding for $50/month. 🤷

A lot can be fixed by just acknowledging people. They’re trying to evaluate something they don’t understand, and having a reaction. It’s not even unreasonable. The right thing to do is just acknowledge and move on.

Usually that’s all it takes. Don’t let yourself be embarrassed when you’re being reasonable. If they won’t move on, that’s the point where I start thinking about job applications somewhere else.

Doesn’t mean they’re wrong!

I’ll just upvote the both of you. We all need to be more aware of our echo chambers.

I think most the serious investors know. But, in a bubble, stock value can keep going up long past the point that makes sense. If you think that’s going to happen, it can make sense to invest even if you think it’s a losing play in the long run.

This should really make the timing more urgent for Anthropic. I was legitimately surprised when they decided to delay the IPO.

Also there’s still a real chance that Anthropic has some real value proposition that I’m not understanding, though I’ve yet to find someone who can make a coherent argument for what that looks like.

Right? This is going to be an interesting story to follow.

On the one hand, they don’t want to IPO right now, probably because they don’t think investors are keen to buy at the price they’re asking.

On the other hand, I don’t really see things getting better for them as long as cheap open-weight models that are almost as good as Anthropic’s exist. As more people figure this out, I think it’s going to get worse not better. So I don’t think they can afford to wait long.

I think it’s important to call out that this isn’t an issue with AI being brilliant at hacking. It’s that these systems are basically totally unsecured, and the main protection is that no one with the technical skill is bothering to try to get access.

This isn’t to say this isn’t a serious problem. We’re moving from a world where you need a trained security expert to spend non-trivial time to get access to these systems to one where anyone with access to an un-restricted agentic LLM can do this trivially and quickly.

As a civilization, we need to start taking security seriously.

“The outputs of this opt-in vulnerability scanner will be fully model-generated, without human review or triage,” Anthropic explained. “This will enable faster and more frequent scanning, but means that it is possible reports will be incorrect or invalid.”

When I saw the headline, I was wondering about this specifically. This may make this service not super useful.

My experience with AI security reviews is that they’re fantastic at finding faults, but they always find a list of things to complain about. If there are no real/serious faults they’ll start finding things that kind of have the same shape as a security issue, but really aren’t if you dig into them. I’ve regularly had an LLM generate a list of 10-15 issues ranging in severity from “nits” to “critical” where none of them were actual issues.

Periodic reviews seem like they could get annoying really quickly, becoming more of a maintenance burden than a help.