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Project Glasswing: An Initial Update

anthropic.com

251–260 of 345 posts

Re: Project Glasswing: An Initial Update

#251
post #86

If you're not already applying static analysis and linters to your codebase (and I know many of you aren't), ask yourself why you would bother to apply an expensive LLM tool? Not to say these things won't catch vulnerabilities static tools cannot, I think they can, it's just we already have the capability to automatically catch a large surface area of common vulns, and have chosen not to, often for expense reasons. I…

> If you're not already applying static analysis and linters to your codebase Because most issues are in business logic that static analyzers aren't going to catch.

If you run a static analysis tool across a repo that didn’t previously do that, you’ll see that while what you say might be true, there’s going to be an absolute treasure-trove of issues caught by the static analyser.

Re: Project Glasswing: An Initial Update

#252
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…

I believe that the real difference is the token burning to analyze entire code bases.

Re: Project Glasswing: An Initial Update

#253

Earlier quoted context omitted.

Ngl, watching folks getting irritated about normal employer-employee absurdities from the employer perspective through usage of agents and having to pay for tokens has been a little therapeutic for me.

Absolutely. And not even making the connection. On a broader scale, the sheer face-eating-leopards-ness of programmers finally automating away our own jobs and then realising how much this sucks, after automating away so many other kinds of jobs, can feel darkly amusing to me too.

I keep reading this sort of comment quite a lot, but programming isn't always about automating jobs away. In my career I have not eliminated a single job. I don't consider that a failure on my part.

Re: Project Glasswing: An Initial Update

#254
post #101

Earlier quoted context omitted.

> the developers learn from mistakes and avoid them in the future No. Humans learn from mistakes and try to avoid them in the future, but there is a whole pile of other stuff in the bag of neurons between our ears that prevent us from avoiding repetition of errors. I have seen extremely talented engineers write trivial to avoid memory corruption bugs because they were thinking about the problem they were trying to so…

The problem is you as a person are not incentivized to introduce bugs in your code. If I am a company that provide provides an LLM/agent, and I know that the more bugs you have the more money I’m going to make, then I am not exactly incentivized to make my LLM/Agent better at preventing bugs. I don’t even have to explicitly make it introduce them. The incentive structure is simply out of whack.

Isn't it more likely the opposite - individial devs are likely to try to fudge metrics about how many vulnerabilities they find in their own code.

Whereas with LLMs, they’re really good about providing objective metrics about the bugs they found, especially as a subsequent LLM security scan does not know whether the same LLM wrote code earlier, the opposite of human devs.

And is the idea that organizations and/or benchmarks won't keep track of vulnerability rates for code from different LLMs?

(And individual devs get paid more the more bugs that they introduced they “find”, and they have more job security with an “maintainable” code base than a “finished” one.)

Re: Project Glasswing: An Initial Update

#255
post #67

Earlier quoted context omitted.

> 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?

Yeah, with a budget assigned. This is actually just software development and security right? Developers create software, which has bugs. Users (including bad guys, pen testers, QA folks, automated scans etc, etc, etc) find bugs, including security bugs, Developers fix bugs and maybe make more. It's an OODA loop, and continues until the developers decide to stop supporting the software. Whether that fits into the busi…

Usually the same guy doesn't get paid for developing code, bug bounty and fixing the code.

It leads to corruption. To paraphrase Dilbert "I'm going to code myself a car."

Re: Project Glasswing: An Initial Update

#256
post #50

There has been a lot of cynicism around mythos, that it's just the usual public models without guardrails, etc. etc. but this: > 1,752 of those high- or critical-rated vulnerabilities have now been carefully assessed by one of six independent security research firms, or in a small number of cases by ourselves. Of these, 90.6% (1,587) have proved to be valid true positives, and 62.4% (1,094) were confirmed as either h…

I don't see why they couldn't contract out to an American security firm that has access?

Surely it's forbidden by the agreement with Anthropic

Re: Project Glasswing: An Initial Update

#257

I wonder if it coincidentally becomes safe to release when compute capacity bought from SpaceX will provide enough headroom to let a lot more people run it.

Total speculation: As the software world shakes out the many hidden vulns in their software, big AI will try to limit the access while it gets ironed out. Once the big projects/systems are reasonably patched after being vetted by SOTA models, the models will be released to the public. I don't think there's a scenario where Mythos-level or better models stay closed permanently.

The problem for Anthropic, is that ChatGPT-5.5 is noticeably better than Opus 4.7. The longer they hold back Mythos, the more people will drop their Claude subscription (I have) in favor of an OpenAI subscription.

Re: Project Glasswing: An Initial Update

#258
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…

"get a taste of this". The real thing is, GPT-5.5 is better than Opus 4.7, so if Anthropic doesn't release Mythos soon, other people are going to notice and switch off Claude.

Re: Project Glasswing: An Initial Update

#260
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…

https://blog.chuanxilu.net/en/posts/2026/05/dual-pass-review...

This is what I did. Using a loop skill to dig problems and bugs in each step on development from design to coding to make sure the output software works properly and on purpose.

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