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jychang 6 hours ago

It'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".

mrbungie 4 hours ago | parent [-]

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.

ACCount37 4 hours ago | parent [-]

Modern ML is old school mad science.

The lifeblood of the field is proof-of-concept pre-prints built on top of other proof-of-concept pre-prints.