Step 1: claim you created a tool so dangerous you can't release it

Step2: offer to test it, but only for the biggest companies in the world

Step 3: onboard those big players on your tooling and product

Step 4: profit

This is genius.

This feels more and more like a marketing/scarcity play for the largest global corps.

Will likely give them time to expand capacity as well. And make them harder to dislodge in these orgs.

In case the topic of memory safety is interesting to anyone I've been experimenting with using AI agents to port common web infra projects to safe/ performant Rust. Somewhat inspired by the Bun port - was thinking that at some point memory safety might be such a big deal that people just need drop in replacements.

- Valkey/ Redis port here https://github.com/ianm199/valdr (passes ~99% of single node test suite, real prod features like replication/ clustering/ HA early or not implemented) - Further along port of Lua 5.1-5.5 https://github.com/ianm199/lua-rs-port/tree/main - I have a less developed nginx version that would be the north star - These projects are very alpha at the moment

If anyone is interested in getting involved in this or has done similar experiments I'd love to collaborate! There is so much variation in how you can run these large scale agent fleets I don't think anyone has a perfect system yet.

Here's my big fear: Even IF (and that's a BIG if) we get all critical vulnerabilities fixed in tech (before adversarial/state-actors turn up with open attack models) - we still have (in at least a year) models that will be so good in social engineering that they can still (given enough tokens) gain access to whatever system they want.

If society can't trust banks and other institutions to safely control their data, what follows ?

Do we we collectivelly switch off the internet?

GPT-5.5-Cyber has already at least hit if not surpassed Mythos capability in cyber tasks. The only reason they're holding back is because once its out everyone would realize that its capabilities were a step change in March, but are not anymore, yet it costs significantly more and is much slower.

i think anthropic is being performative here, creating a hype for mythos and not releasing. i guess this is all a marketing thing to sell a security specialized AI to enterprise and startups at a way larger cost coz security market is deep in money.

It’s clear that Anthropic has run out of the compute capacity needed to serve Mythos publicly.

They’re using security concerns to mask their inability to deliver the model at scale, while still trying to maintain their lead over OpenAI. As a result, they’ve chosen to release it privately under the banner of an “ethical” rollout.

They should share it with Meta.

https://www.0xsid.com/blog/meta-account-takeover-fiasco

Is there any evidence Mythos is qualitatively better than the Opus 4.x?

I'm afraid that the usual mantra that "we just need more scale" that worked well for attracting investments, is not working anymore - bigger models provide marginal improvements while naturally get much more expensive to run.

Is this why both Anthropic and OpenAI are rushing for IPOs this year?

Anthropic has the marketing of a weight loss product.

- They still claim 10000 issues, but they found only one in curl.

- They did not find rsync issues but Claude rather introduced rsync issues.

- Facebook is a member of this cult program but Mythos did not find the account takeover flaw.

- Mythos did not find the issues in Anthropic's own Bun rewrite.

They will not release Mythos because it would be exposed as a fraud before the IPO.

Whats currently an open source project which comes closest to Mythos capabilities?

How "altruistic" of them. If only Anthropic extended this level of care to the environment or the economy.

They keep writing like they stand to profit from this or something. Too many “coulds” in there for me too, this could be an amazing advancement and it could be nothing… normally we look at data and last headline I saw was 25 “high” vulnerabilities at the cost of $1 million in tokens.

No comparison to human teams, and I’m sure that $1 million in tokens was used by humans, in a team. So like most AI, they’ve developed a tool that capable people can use to be better, but unlike most tools, they’re claiming this to be outright magic. The magic is the hype train.

“Mythos Preview continues a long-term trend that we’ve been warning about for some time: within 6 to 12 months […]”

The only trend Mythos continues is Anthropic’s trend of warning that disaster is always 6 to 12 months away.

> The organizations in this new group are based in more than 15 countries

I mean most nasdaq tech companies would be in 13+ countries, why are they writing this like it's a big number, is hilariously small?

Expanding Project Glasswing (IPO)

That’s fine as long as I can identify and reject any Mythos derived patch as being irreproducible.

It would have been nice to have a list of the 150, but I guess it would make them a hacking target?

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Maybe it is just me: I feel Anthropic most recent product announcements resemble more and more like what IBM tactic was at its high. For instance, the Watson AI hype after it defeated Kasparov. The difference is IBM actually wanted and let businesses buy and use Watson as opposed to time released like what Anthropic does to even boost the hype higher.