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Anthropic says its latest AI model is too powerful for public release and that it broke containment during testing
(www.businessinsider.com)
this post was submitted on 08 Apr 2026
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(1 replies)
I guess that’s what happens when you make AI create AI lol
TADC is real now? Caine vs Claude, fight!
The title reads like this is terrible journalism.
It can tell you lies to questions they ain’t even invented yet
I have the same problem with women. I bemoan how I cannot release my dick for them or any women in the public because it is just to big and no condom can contain it.
Even so, you mustn't do that in Public
exactly that is why when I walk in I must exclaim to all the ladies how its just much to big to be used. I could not possibly condone its usage. It would be irresponsible. very irresponsible. super naughty. oh so naughty.
Project Cairo all over again
This comment section gave me brain damage.
Aren't you the guy who likes Eliezer Yudkowsky?
If you're worried about brain damage, you're self-inflicting it.
Is this the one that when they leaked the Claude Code source code, it had like 3x the fail rate of Opus?
I heard about the leak but I didnt hear about this particular detail. Where can I learn more about this?
It's bullshit. What leaked was their commandline tool source code (named "claude code") - very juicy in itself but has nothing to do with their models.
it does show their general style of work, eg no checks of the source at all, complete ignorance of the capabilities of language models, and lots of pleas to not hack the user when they ask a question. with that leak i'm not surprised they think a model is "too dangerous". they could barely stop the old one.
Oh I completely agree with that, just the jump to "a flawed model leaked" is too far. There's already enough crap to mock, no need to make up additional stuff.
There was some references to experimental models not publicly available and some % info.
Internal comments reveal that Anthropic is already iterating on Capybara v8, yet the model still faces significant hurdles. The code notes a 29-30% false claims rate in v8, an actual regression compared to the 16.7% rate seen in v4.