alt Hacker NewsIt's also literally factually incorrect. Pretty much the entire field of mechanistic interpretability would obviously point out that models have an internal definition of what a bug is.
Here's the most approachable paper that shows a real model (Claude 3 Sonnet) clearly having an internal representation of bugs in code: https://transformer-circuits.pub/2024/scaling-monosemanticit...
Read the entire section around this quote:
> Thus, we concluded that 1M/1013764 represents a broad variety of errors in code.
(Also the section after "We find three different safety-relevant code features: an unsafe code feature 1M/570621 which activates on security vulnerabilities, a code error feature 1M/1013764 which activates on bugs and exceptions")
This feature fires on actual bugs; it's not just a model pattern matching saying "what a bug hunter may say next".
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> This feature fires on actual bugs; it's not just a model pattern matching saying "what a bug hunter may say next".
You don't think a pattern matcher would fire on actual bugs?
Mechanistic interpretability is a joke, supported entirely by non-peer reviewed papers released as marketing material by AI firms.
Was this "paper" eventually peer reviewed?
PS: I know it is interesting and I don't doubt Antrophic, but for me it is so fascinating they get such a pass in science.