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Project Glasswing: An Initial Update

anthropic.com

191–200 of 345 posts

Re: Project Glasswing: An Initial Update

#191
post #61

People predict that in 50 years, no human will be driving a car, and people will be shocked that we let humans drive cars manually. Coding may be the same. So many vulnerabilities in code written by very competent programmers. Manually building large, complex systems without major bugs or security vulnerabilities seems to be a nearly impossible challenge.

I hope this will never be the case. As long as we have personal vehicles they should be personally controlled. Self driving cars is such a waste of everyone's money.

Cities should all have better public transport and out in the middle of nowhere you don't need self driving anyway. (And yes, personal cars should be entirely banned from cities)

Re: Project Glasswing: An Initial Update

#192
> Next, we will work with critical partners—including US and allied governments—to expand Project Glasswing to additional partners. And in the near future, once we’ve developed the far stronger safeguards we need, we look forward to making Mythos-class models available through a general release.

I wonder how long "near future" is in Anthropic time. I think they have incentives to delay the release of Mythos as long as possible both to save compute and delay distillation by rival labs.

Regardless, what they have been doing with Glasswing is very cool. It's clear that the world has been spared from a massive security nightmare that would have happened in any alternative timeline where the model is publicly released with weak safeguards.

Re: Project Glasswing: An Initial Update

#194
post #122

I’m not sure how to reconcile anthropic’s update / some of the exuberant comments here with recent feedback like the following from curl maintainer Daniel Steinberg: “I see no evidence that this setup [Mythos] finds issues to any particular higher or more advanced degree than the other tools have done before Mythos. Maybe this model is a little bit better, but even if it is, it is not better to a degree that seems to…

What I think based on the various things I've read is that Mythos is a standard advance in raw capability that was heavily trained on the process of being a security researcher. If you already had the skills to find and exploit bugs then Mythos is not a game changer, if you're an ordinary programmer it is a game changer because it's been so well tuned to wear the security researcher hat you don't have to give it much feedback at all.

Re: Project Glasswing: An Initial Update

#195

> Next, we will work with critical partners—including US and allied governments—to expand Project Glasswing to additional partners. And in the near future, once we’ve developed the far stronger safeguards we need, we look forward to making Mythos-class models available through a general release. I wonder how long "near future" is in Anthropic time. I think they have incentives to delay the release of Mythos as long a…

IMO the talk about safeguards is utter nonsense. The model will either find vulnerabilities for you or it won't. If it will then you can broadly use the findings as you see fit.

As I see it the primary issue is giving time for the ecosystem to adapt. Once models of a given level of capability have been applied to the majority of the common software in daily use it becomes reasonably safe to release such models publicly regardless of how they are used.

Re: Project Glasswing: An Initial Update

#196

Earlier quoted context omitted.

Tell me you don’t know how AI works without telling me you don’t know how AI works.

What are you talking about?

I’ll try to steelman this comment. Anyone who uses coding tools knows that the output is heavily affected by details of the task you give it. The same model can give you garbage code or genius code for the same problem with slightly different framing. So it’s not necessarily a limitation in the model’s training that causes it to output security bugs. The model might be great at writing secure code, but you need a different harness to elicit that behavior.

Counterargument: just because the problem can be fixed without training, doesn’t mean training isn’t a possible solution.

Re: Project Glasswing: An Initial Update

#197
post #181

Earlier quoted context omitted.

What’s a “bluepill exploit”?

[flagged]

You are linking to a Wikipedia page in which I am literally cited (I presented a hypervisor malware detection scheme at the Black Hat conference where Joanna Rutkowska presented this; it was a whole thing). I'm telling you that the term makes no sense in this thread. I think you meant to use a different term.

Re: Project Glasswing: An Initial Update

#198
post #34

You can get a taste of this today yourself with Codex Security. I turned it on just as an experiment and in less than a week it has now become essential to all of us. I was shocked how accurate it is, how many security issues it found in existing code, how it continually finds them as we commit, and how NO ONE is immune from making these mistakes. I'd say it is about 90% accurate for us. Often even the "Low" findings…

> I expect tools like this to be a regular part of the development lifecycle from here on. We code with AI, we review with AI, we search for vulns with AI. Even if it isn't perfect, it is easily worth the cost IMHO. So, how is that supposed to work? Claude Code generates security bugs, then Claude Security finds them, then Claude Code generate fix, spend tokens, profit?

You can hook traditional SAST into your coding tool, and get cheap-ish realtime detection for some classes of vulns while coding.

You can optionally layer LLM diff scanning if you want to burn some tokens on your tokens. Modern tools can catch some impressively subtle issues.

Re: Project Glasswing: An Initial Update

#199
post #34

You can get a taste of this today yourself with Codex Security. I turned it on just as an experiment and in less than a week it has now become essential to all of us. I was shocked how accurate it is, how many security issues it found in existing code, how it continually finds them as we commit, and how NO ONE is immune from making these mistakes. I'd say it is about 90% accurate for us. Often even the "Low" findings…

This got me thinking, so what happens in two years?

every tom, dick and harry who can type english has the tools to attack any software that isn't patched.

tools that were accessible to specialized groups, now made available to anybody with a grudge and a few dollars for tokens.

and what does anthropic and openai do? They form an inner ring to make the latest models available first to Enterprises. Enterprises will cough up the prices that anthropic and openai set, they have no choice here. e

Eventually everybody pays. This does not sound good

Re: Project Glasswing: An Initial Update

#200
post #181

Earlier quoted context omitted.

[flagged]

You are linking to a Wikipedia page in which I am literally cited (I presented a hypervisor malware detection scheme at the Black Hat conference where Joanna Rutkowska presented this; it was a whole thing). I'm telling you that the term makes no sense in this thread. I think you meant to use a different term.

[flagged]
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