What does this mean? > It's a different kind of tool doing a different kind of work, and that makes a clean apples-to-apples comparison to earlier models difficult. They claim it’s a different kind of tool and then describe using it the same way you’d use any other model. This really felt way worse than the average Cloudflare blog and really just rehashed the Mythos announcement which had already called out the key p…
Project Glasswing: what Mythos showed us
51–60 of 152 posts
Re: Project Glasswing: what Mythos showed us
#52What does this mean? > It's a different kind of tool doing a different kind of work, and that makes a clean apples-to-apples comparison to earlier models difficult. They claim it’s a different kind of tool and then describe using it the same way you’d use any other model. This really felt way worse than the average Cloudflare blog and really just rehashed the Mythos announcement which had already called out the key p…
Because of it's capabilities, a new kind of harness can be built for it, thus the entire system (model + harness) is a different kind of tool than say Claude code
Re: Project Glasswing: what Mythos showed us
#53What does this mean? > It's a different kind of tool doing a different kind of work, and that makes a clean apples-to-apples comparison to earlier models difficult. They claim it’s a different kind of tool and then describe using it the same way you’d use any other model. This really felt way worse than the average Cloudflare blog and really just rehashed the Mythos announcement which had already called out the key p…
Sounds different because it’s hidden advertisement not a regular blog post
Re: Project Glasswing: what Mythos showed us
#54So nothing new then.
Re: Project Glasswing: what Mythos showed us
#55Earlier quoted context omitted.
Sentence constructions like this definitely scream AI: "That's a reasonable bias for an exploratory tool. It's a ruinous one for a triage queue..." I will upgrade the "why it matters" to "and now AI output is part of the training data". A day is coming when the punched-up AI verbiage will be the norm and hard to distinguish unless you're from the previous generation. Sort of in the way that I miss some aspects of Use…
I had a dude in a conversation non-ironically use "load-bearing." I could only follow up with, "that is a genuine insight." Not a single person visibly flinched in pain.
Re: Project Glasswing: what Mythos showed us
#56The real question is whether it was Mythos or Opus that wrote this post. > "Why it matters" It doesn't, it's a corporate blog, they were rarely written in one-author's voice anyway, but it's interesting to see that even large organisations are outsourcing their blogs to LLMs.
This is also why Claude Code is full of weird bugs and why their support says that it did refunds when it didn't and so on and so forth.
Re: Project Glasswing: what Mythos showed us
#57Earlier quoted context omitted.
Sounds different because it’s hidden advertisement not a regular blog post
But why would cloudflare advertise Anthropic? They are competing with Anthropic by hosting open weights models.
Re: Project Glasswing: what Mythos showed us
#58Earlier quoted context omitted.
When writing is too heavily LLM-assisted, it does actually cease to be substantive, because it becomes impossible to know which parts of it represent actual claims which the author believes as stated and which are interpolations.
No no, it the LLM-assistance makes it hard to know what is substantive . That means it puts more work on the reader, which is a totally valid thing to complain about, but which is totally different from "the poor writing is actually the whole point "
Re: Project Glasswing: what Mythos showed us
#59I was expecting some more concrete numbers and surprises. It just seems like a balanced promotion article probably written using LLM itself.
In the last few days I was recommending to read the insights from XBOW [1], it's a competitor but it adds more information to the discussion. [1] https://xbow.com/blog/mythos-offensive-security-xbow-evaluat...
Interesting that gpt-5.5, while not as good as mythos, also seems like a decent step up
Re: Project Glasswing: what Mythos showed us
#60Earlier quoted context omitted.
Sentence constructions like this definitely scream AI: "That's a reasonable bias for an exploratory tool. It's a ruinous one for a triage queue..." I will upgrade the "why it matters" to "and now AI output is part of the training data". A day is coming when the punched-up AI verbiage will be the norm and hard to distinguish unless you're from the previous generation. Sort of in the way that I miss some aspects of Use…
I had a dude in a conversation non-ironically use "load-bearing." I could only follow up with, "that is a genuine insight." Not a single person visibly flinched in pain.