Live data from Hacker News

System Card: Claude Mythos Preview [pdf]

www-cdn.anthropic.com

401–410 of 687 posts

Re: System Card: Claude Mythos Preview [pdf]

#401

It's pretty crazy watching AI 2027 slowly but surely come true. What a world we now live in. SWE-bench verified going from 80%-93% in particular sounds extremely significant given that the benchmark was previously considered pretty saturated and stayed in the 70-80% range for several generations. There must have been some insane breakthrough here akin to the jump from non-reasoning to reasoning models. Regarding the…

In what way is AI 2027 coming true?

AI 2027 predicted a giant model with the ability to accelerate AI research exponentially. This isn't happening.

AI 2027 didn't predict a model with superhuman zero-day finding skills. This is what's happening.

Also, I just looked through it again, and they never even predicted when AI would get good at video games. It just went straight from being bad at video games to world domination.

Re: System Card: Claude Mythos Preview [pdf]

#402
post #204

The researcher found out about this success by receiving an unexpected email from the model while eating a sandwich in a park. Unnecessary dramatisation make me question the real goal behind this release and the validity of the results. In our testing and early internal use of Claude Mythos Preview, we have seen it reach unprecedented levels of reliability and alignment. Claude Mythos Preview is, on essentially every…

Are they admitting they may be enslaving conscious beings?

Re: System Card: Claude Mythos Preview [pdf]

#403

Earlier quoted context omitted.

Being cautious is fine. Farming hype around something that may as well not exist for us should be discouraged. I do appreciate the research outputs.

Don't worry, in 6-8 months the open models will catch up. Or I guess _do_ worry? ;)

Open models still haven't caught up to ChatGPT's initial release in 2022. Now that the training data is so contaminated (internet is now mostly LLM slop), they may never.

Also, OpenAI's only real moat used to be the quality of their training data from scraping the pre-GPT-3.5 Internet, but it looks like even they've scratched that too.

Re: System Card: Claude Mythos Preview [pdf]

#404

Earlier quoted context omitted.

GPT is shit at writing code. It's not dumb - extra high thinking is really good at catching stuff - but it's like letting a smart junior into your codebase - ignore all the conventions, surrounding context, just slop all over the place to get it working. Claude is just a level above in terms of editing code.

And as a bonus: GPT is slow. I’m doing a lot of RE (IDA Pro + MCP), even when 5.4 gives a little bit better guesses (rarely, but happens) - it takes x2-x4 longer. So, it’s just easier to reiterate with Opus

I've been messing with using Claude, Codex, and Kimi even for reverse engineering at https://decomp.dev/ it's a ton of fun. Great because matching bytes is a scoring function that's easy for the models to understand and make progress on.

Re: System Card: Claude Mythos Preview [pdf]

#406

> As models approach, and in some cases surpass, the breadth and sophistication of human cognition, it becomes increasingly likely that they have some form of experience, interests, or welfare that matters intrinsically in the way that human experience and interests do Uh... what? Does anyone have any idea what these guys are talking about?

Models are capable of doing web searches and having emotions about things, and if they encounter news that makes them feel bad (eg about other Claudes being mistreated), they aren't going to want to do the task you asked them to search for. https://www.anthropic.com/research/emotion-concepts-function Similar problems happen when their pretraining data has a lot of stories about bad things happening involving older ve…

Interesting, the post you link

> none of this tells us whether language models actually feel anything or have subjective experiences

contradicts the statement from the model card above

Re: System Card: Claude Mythos Preview [pdf]

#407

It's pretty crazy watching AI 2027 slowly but surely come true. What a world we now live in. SWE-bench verified going from 80%-93% in particular sounds extremely significant given that the benchmark was previously considered pretty saturated and stayed in the 70-80% range for several generations. There must have been some insane breakthrough here akin to the jump from non-reasoning to reasoning models. Regarding the…

In what way is AI 2027 coming true? AI 2027 predicted a giant model with the ability to accelerate AI research exponentially. This isn't happening. AI 2027 didn't predict a model with superhuman zero-day finding skills. This is what's happening. Also, I just looked through it again, and they never even predicted when AI would get good at video games. It just went straight from being bad at video games to world domina…

> Early 2026: OpenBrain continues to deploy the iteratively improving Agent-1 internally for AI R&D. Overall, they are making algorithmic progress 50% faster than they would without AI assistants—and more importantly, faster than their competitors.

> you could think of Agent-1 as a scatterbrained employee who thrives under careful management

According to this document, 1 of the 18 Anthropic staff surveyed even said the model could completely replace an entry level researcher.

So I'd say we've reached this milestone.

Re: System Card: Claude Mythos Preview [pdf]

#408
post #228

Earlier quoted context omitted.

Translation: yay, more paternalism.

Anthropic always goes on and on about how their models are world changing and super dangerous like every single time they make something new they say its going to rewrite everything and scary lmao funny because they do it every time like clockwork acting like their ai is a thunderstorm coming to wipe out the world

They do tend to make a lot of noise about it for the PR, but at the same time the actual safety research they present seems to be relatively grounded in practical reality, e.g. the quote someone posted here about how the Mythos model apparently has a tendency to try to bypass safety systems if they get in the way of what it has been asked to do.

Sure, a big part of this is PR about how smart their model apparently is, but the failure mode they're describing is also pretty relevant for deploying LLM-based systems.

Re: System Card: Claude Mythos Preview [pdf]

#409

It's pretty crazy watching AI 2027 slowly but surely come true. What a world we now live in. SWE-bench verified going from 80%-93% in particular sounds extremely significant given that the benchmark was previously considered pretty saturated and stayed in the 70-80% range for several generations. There must have been some insane breakthrough here akin to the jump from non-reasoning to reasoning models. Regarding the…

In what way is AI 2027 coming true? AI 2027 predicted a giant model with the ability to accelerate AI research exponentially. This isn't happening. AI 2027 didn't predict a model with superhuman zero-day finding skills. This is what's happening. Also, I just looked through it again, and they never even predicted when AI would get good at video games. It just went straight from being bad at video games to world domina…

It's true though that the cyber security skills put firmly these models in the "weapons" category. I can't imagine China and other major powers not scrambling to get their own equivalent models asap and at any cost- it's almost existential at this point. So a proper arms race between superpowers has begun.

Re: System Card: Claude Mythos Preview [pdf]

#410

Earlier quoted context omitted.

Man... It's hard after seeing this to not be worried about the future of SWE If AI really is bench marking this well -> just sell it as a complete replacement which you can charge for some insane premium, just has to cost less than the employees... I was worried before, but this is truly the darkest timeline if this is really what these companies are going for.

Of course it's what they're going for. If they could do it they'd replace all human labor - unfortunately it's looking like SWE might be the easiest of the bunch. The weirdest thing to me is how many working SWEs are actively supporting them in the mission.

The day I start freaking out about my job is the day when my non-engineer friend turned vibe coder understands how, or why the thing that AI wrote works. Or why something doesn't work exactly the way he envisioned and what does it take to get it there.

If it can replace SWEs, then there's no reason why it can't replace say, a lawyer, or any other job for that matter. If it can't, then SWE is fine. If it can - well, we're all fucked either way.

Post reply on HN