Appearances can be something
2026-04-08 09:43 UTC
Replies (11)
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@railcar@midwest.social 2026-04-08 14:34
It’s OK to hate AI slop and recognize the immediate threat to cyber security it brings. At least they are trying to mitigate it. There’s been no similar actions from other frontier models. They are deliberately helping open source projects with little funding to keep pace. www.anthropic.com/glasswing
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@zieg989@programming.dev 2026-04-08 10:49
I would not be surprized if Anthropic would actually hire a real developer to make these PRs as a marketing stunt
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@General_Effort@lemmy.world 2026-04-08 10:35
(In case someone has been living under a rock in the last 48 hours. Anthropic's new model "Mythos" has been finding a lot of new vulnerabilities. This is about patching one.)
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@CannonFodder@lemmy.world 2026-04-08 10:57
ai tools can detect potential vulnerabilities and suggest fixes. You can still go in by hand and verify the problem carefully apply a fix.
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@spectrums_coherence@piefed.social 2026-04-08 12:58
LLM is very good at programming when there are huge number of guardrails against them. For example, exploit testing is a great usecase because getting a shell is getting a shell. They kind of acts as a smarter version of infinite monkey that can try and iterate much more efficiently than human does. On the other hand, in tasks that requires creativity, architecture, and projects without guard rail, they tend to do a terrible job, and often yielding solution that is more convoluted than it needs to be or just plain old incorrect. I find it is yet another replacement for "pure labor", where the most unintelligent part of programming, i.e. writing the code, is automated away. While I will still write code from scratch when I am trying to learn, I likely will be able automate some code writing, if I know exactly how to implement it in my head, and I also have access to plenty of testing to gaurentee correctness.
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@SkunkWorkz@lemmy.world 2026-04-09 07:39
The ffmpeg team was mad at Google when they reported a bug that was found and reported automatically with an AI. Google reported the bug without providing a fix and also gave an ultimatum. Google would publicize the bug report after 60 days. That’s what pissed off the ffmpeg devs. Not to mention that it was a very obscure bug, like ffmpeg didn’t decode a video file from a 90’s videogame correctly. Anthropic on the other hand found a bug and provided a fix. So why would they be mad if the fix is properly written and fixes the bug ?
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@BuboScandiacus@mander.xyz 2026-04-09 06:53
So they read them, and the patches were good (according to this message) Why hate then?
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@vk6flab@lemmy.radio 2026-04-08 09:57
Hold on, wasn't one of the "features" of the "leaked" Assumed Intelligence source code the "human"-like version?
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@thorhop@sopuli.xyz 2026-04-08 10:47
Something something some Indian guy.
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@sun_is_ra@sh.itjust.works 2026-04-08 10:27
Maybe he meant code quality was so good its like a human wrote it. After all if the code is good and follow all best practices of the project, why reject it just because it was an AI who wrote it. That's racism against machines.
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@GreenKnight23@lemmy.world 2026-04-08 22:53
show me a model that isn't based entirely off of one of the major AI companies.