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Mythos Finds a Curl Vulnerability

daniel.haxx.se

101–110 of 298 posts

Re: Mythos Finds a Curl Vulnerability

#101
post #3

Quote: "My personal conclusion can however not end up with anything else than that the big hype around this model so far was primarily marketing. I see no evidence that this setup 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 make a significant dent in co…

Eh... I think he puts the LLM down for his own ego's sake (as would I!). Curl may, next to the Linux kernel, be one of the most heavily audited codebases in existence. The LLM found something he and thousands of others missed. It's not unimpressive.

Re: Mythos Finds a Curl Vulnerability

#102
post #3

Quote: "My personal conclusion can however not end up with anything else than that the big hype around this model so far was primarily marketing. I see no evidence that this setup 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 make a significant dent in co…

My guess: Marketing is not intentional. Evidences: 10 years ago, when I interviewed Baidu AI with Andrew Ng and Dario, Dario is the kind of person is pure-hearted to the point being ideological. Given Dario's successful career so far, that essence has gradually grown into a conviction, and surrounded by a purposely built team which amplifies his ideology. Humans are very convenient creature, a rare few small fraction…

> Marketing is not intentional

Mythos put Anthropic back into the White House’s good graces. It also branded Anthropic as badass, something their softener image probably needed to win government contracts.

Maybe it wasn’t marketing. But the product’s configuration, and how Anthropic talked about and released it, sure as hell played beautifully. (The timing, while Musk and Altman are distracted with each other, also couldn’t have been better.)

Re: Mythos Finds a Curl Vulnerability

#103
post #3

Quote: "My personal conclusion can however not end up with anything else than that the big hype around this model so far was primarily marketing. I see no evidence that this setup 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 make a significant dent in co…

This is roughly what I was assuming but of course the big caveat here is that they were already using the existing LLM driven tooling on an extensively audited codebase.

So while anthropic's marketing may be hype there just wasn't much left to find, a point he makes in the blog post.

Whether it's a big step forward for other kinds of projects is difficult to tell, but this highlights that everybody should be using AI code review tools to audit their existing code today, and not everybody is.

Re: Mythos Finds a Curl Vulnerability

#104
post #80

> Not particularly “dangerous” I'm not sure that follows. As noted, curl was already analyzed to death with every tool available; most software isn't at that level.

Curl is currently receiving a record number of high-quality bug/vuln reports (a rather sharp change from the earlier slop inundation), so it’s not like there’s nothing to find. Many or most of these are presumably found by human experts assisted by AI tools, but if Mythos were truly revolutionary, it should be able to find such issues on its own. https://daniel.haxx.se/blog/2026/04/22/high-quality-chaos/ , linked fro…

Is there a list of infrastructure that has received this kind of focus? Clearly people are looking at the linux kernel, hopefully openssl?

Re: Mythos Finds a Curl Vulnerability

#105
post #89

Earlier quoted context omitted.

I always thought he was fired for making crackpot statements to the press in reference to his professional capacity, and thus creating bad PR and embarrassing spectacle for his employer. Seems like legitimate reasons to me.

An interesting question now is whether he had standard mental health issues, or if he was an early example of AI psychosis or whatever we call people who are falling in love with their AI chatbots because they tell them how smart they are.

Considering Richard Dawkins has recently succumbed to the same delusion it is a reminder that no matter how intelligent someone may otherwise be, we are all human and have certain tendencies and blind spots; anthropomorphizing non-entities being one of those.

Re: Mythos Finds a Curl Vulnerability

#107

There is always marketing involved and people should be able to put marketing into perspective. Also curl in this regard is a open source project, relativly small but critical, well known and used everywhere. Besides image libraries, tools like curl or sudo, su, passwd, etc. would also be my first try. Mythos is still not known at all what it can do. What does it mean from cost and benchmark pov to have a 10 Trillion…

> What does it mean from cost and benchmark pov to have a 10 Trillion parameter model?

To me it means that we've hit the top end of the S-curve with regards to effects of scaling - if the tool isn't remarkably better despite the scale, then we're firmly in diminishing returns territory.

Re: Mythos Finds a Curl Vulnerability

#108
post #96
post #3

Quote: "My personal conclusion can however not end up with anything else than that the big hype around this model so far was primarily marketing. I see no evidence that this setup 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 make a significant dent in co…

I'm pretty sure mythos is just a new unreleased version of Opus + marketing + a different system prompt.

I suspect so as well.

I've been running my own security scanning software (disclaimer: now starting a company @ zeroquarry.com) for this, and from what I've seen there's a huge value in prompts + adversarial LLM review. Without adversarial review, you get garbage (as this blog points out: 4/5 basically are nonsense) and with a good prompt, you can use almost any "near frontier" model from my experience as long as the prompt helps with the guardrails or the model doesn't protect in such a strict way

Re: Mythos Finds a Curl Vulnerability

#109
post #3

Quote: "My personal conclusion can however not end up with anything else than that the big hype around this model so far was primarily marketing. I see no evidence that this setup 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 make a significant dent in co…

He also said this [1] a few weeks ago about AI PRs.

> Over the last few months, we have stopped getting AI slop security reports in the #curl project. They're gone.

> Instead we get an ever-increasing amount of really good security reports, almost all done with the help of AI.

> They're submitted in a never-before seen frequency and put us under serious load.

> I hear similar witness reports from fellow maintainers in many other Open Source projects.

> Lots of these good reports are deemed "just bugs" and things we deem not having security properties.

[1]: https://www.linkedin.com/posts/danielstenberg_hackerone-shar...

Re: Mythos Finds a Curl Vulnerability

#110

Earlier quoted context omitted.

An interesting question now is whether he had standard mental health issues, or if he was an early example of AI psychosis or whatever we call people who are falling in love with their AI chatbots because they tell them how smart they are.

Considering Richard Dawkins has recently succumbed to the same delusion it is a reminder that no matter how intelligent someone may otherwise be, we are all human and have certain tendencies and blind spots; anthropomorphizing non-entities being one of those.

Richard Dawkins is 85 to be fair, just like Bernie Sanders is 84 when he made similar comments.

The other guy worked on Google's AI safety team where one would expect he'd have a basic grasp of how the technology works before making outlandish claims.

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