Comment by derektank

Does anyone have more insight into how chain of thought might be subverted without meaningfully impacting model performance? I’ve heard this for a while now, and I understand how information might be retained in the weights that isn’t documented in the output. But weren’t reasoning models created in the first place because they provided a performance improvement in terms of output? Is that no longer the case? If so, why are the big labs still creating reasoning models?