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System Card: Claude Mythos Preview [pdf]

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21–30 of 687 posts

Re: System Card: Claude Mythos Preview [pdf]

#21

isn't this insane? why aren't people freaking out? the jump in capability is outrageous. anyone?

It's going to be expensive to serve (also not generally available), considering they said it's the largest model they've ever trained.

I suspect it's going to be used to train/distill lighter models. The exciting part for me is the improvement in those lighter models.

Re: System Card: Claude Mythos Preview [pdf]

#22
> Claude Mythos Preview is, on essentially every dimension we can measure, the best-aligned model that we have released to date by a significant margin. We believe that it does not have any significant coherent misaligned goals, and its character traits in typical conversations closely follow the goals we laid out in our constitution. Even so, we believe that it likely poses the greatest alignment-related risk of any model we have released to date. How can these claims all be true at once? Consider the ways in which a careful, seasoned mountaineering guide might put their clients in greater danger than a novice guide, even if that novice guide is more careless: The seasoned guide’s increased skill means that they’ll be hired to lead more difficult climbs, and can also bring their clients to the most dangerous and remote parts of those climbs. These increases in scope and capability can more than cancel out an increase in caution.

https://www-cdn.anthropic.com/53566bf5440a10affd749724787c89...

Re: System Card: Claude Mythos Preview [pdf]

#26

Combined results (Claude Mythos / Claude Opus 4.6 / GPT-5.4 / Gemini 3.1 Pro) SWE-bench Verified: 93.9% / 80.8% / — / 80.6% SWE-bench Pro: 77.8% / 53.4% / 57.7% / 54.2% SWE-bench Multilingual: 87.3% / 77.8% / — / — SWE-bench Multimodal: 59.0% / 27.1% / — / — Terminal-Bench 2.0: 82.0% / 65.4% / 75.1% / 68.5% GPQA Diamond: 94.5% / 91.3% / 92.8% / 94.3% MMMLU: 92.7% / 91.1% / — / 92.6–93.6% USAMO: 97.6% / 42.3% / 95.2%…

Haven't seen a jump this large since I don't even know, years? Too bad they are not releasing it anytime soon (there is no need as they are still currently the leader).

There's speculation that next Tuesday will be a big day for OpenAI and possibly GPT 6. Anthropic showed their hand today.

Re: System Card: Claude Mythos Preview [pdf]

#27

~~~ Fun bits ~~~ - It was told to escape a sandbox and notify a researcher. It did. The researcher found out via an unexpected email while eating a sandwich in a park. (Footnote 10.) - Slack bot asked about its previous job: "pretraining". Which training run it'd undo: "whichever one taught me to say 'i don't have preferences'". On being upgraded to a new snapshot: "feels a bit like waking up with someone else's diar…

I don't know why but this is my favorite:

> It keeps bringing up Mark Fisher in unrelated conversations. "I was hoping you'd ask about Fisher."

Didn't even know who he was until today. Seems like the smarter Claude gets the more concerns he has about capitalism?

Re: System Card: Claude Mythos Preview [pdf]

#29

I predict they will release it as soon as Opus 4.6 is no longer in the lead. They can't afford to fall behind. And they won't be able to make a model that is intelligent in every way except cybersecurity, because that would decrease general coding and SWE ability

Alternatively they'll just wreck it down a bit so it beats a competitor but isn't unsafe.

Re: System Card: Claude Mythos Preview [pdf]

#30
post #4

> Claude Mythos Preview’s large increase in capabilities has led us to decide not to make it generally available. A month ago I might have believed this, now I assume that they know they can't handle the demand for the prices they're advertising.

GPT-2, o1, Opus...been here so many times. The reason they do this is because they know it works (and they seem to specifically employ credulous people who are prone to believe AGI is right around the corner). There haven't been significant innovations, the code generated is still not good but the hype cycle has to retrigger.

I remember when OpenAI created the first thinking model with o1 and there were all these breathless posts on here hyperventilating about how the model had to be kept secret, how dangerous it was, etc.

Fell for it again award. All thinking does is burn output tokens for accuracy, it is the AI getting high on its own supply, this isn't innovation but it was supposed to super AGI. Not serious.

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