this post was submitted on 15 May 2026
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Their conclusion is one of the stranger ways I've ever seen an argument come together, doing it as a percentage-based breakdown:
The security-driven claim seems like one of the easiest things to lie about in the world (and conversely, one of the harder things to prove without causing problems, if it is true). If you try to "safely" prove it, it could be hard to believe. Like say you make a new program specifically meant to have a vulnerability the AI hasn't seen before and see if it will spot it. Then you put this information to the public. How do they know the AI truly hasn't seen that specific vulnerability before?
I don't follow news of the big corp models all that closely, but I think there is good reason to be suspicious of any major claims about thresholds crossed in model capability. There is a lot of money involved and the big corps are vying to be the industry monopoly. And isn't Anthropic the one tied to Palantir? So for them, there's even more power at stake than in the business world alone. What better way to secure their reputation among power brokers than to imply they have a model with capability that could break digital systems on a large scale if released into the wild?
I agree, it's almost certainly the operating cost that's the blocker. Also, there has been a number of articles debunking the security claims. Like yes it finds exploits, but not statistically better than other frontier models. https://aisle.com/blog/ai-cybersecurity-after-mythos-the-jagged-frontier
Interesting, thanks for the further info on it.