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mustaphah | 12 days ago

What if the most interesting finding ends up buried under a vague title? Aside from the "self-generated skills" aspect, there isn't much there that meaningfully warrants deeper discussion.

I chose a title that directly reflects an interesting finding - something that offers substantial insight to the community. I think the rule should be applied with some nuance; in this case, being explicit is a net positive.

I have no interest in linkbait, and I hope that's evident from my previous submissions

discuss

order

xdotli|12 days ago

Thanks @dang for moderating! This is indeed not our original findings and this is a sub conclusion for an ablation we did to remove the confound of LLMs internal domain knowledge. Thanks for submitting for us @mustaphah here's a little bit more details on how we approach this:

> I would frame the 'post-trajectory generated skills' as feedback-generated skills, so is Letta: https://www.letta.com/blog/skill-learning. We haven't seen existing research or hypothesis debating whether the skills improvement might come from the skill prompt themselves activated knowledge in LLMs that can help itself. So that's why we added an ablation of 'pre-trajectory generated skills' because we have that hypothesis and this seems a very clean way to test it. Also it is very logical that feedback generated skills can help, because it most certainly contain the failure mode of agents on that specific tasks.

mustaphah|12 days ago

Yeah, I got your point when I read the paper. You're essentially controlling for "latent domain knowledge."

I might have been a bit blunt with the title - sorry about that, but I still think it was a good title. From what I've observed, a lot of Skills on GitHub are just AI-generated without any feedback or deliberative refinement. Many thought those would still be valuable, but you've shown evidence otherwise.

dang|12 days ago

Yes, I appreciate that, and yes there is room for nuance. But I think you went too far in this case, meaning that the delta between the article title and the submission title was too large. For example, the word "useless" appears nowhere in the article abstract nor in the article body. That's a big delta.

I was starting to type out a longer explanation but I ran out of time - however, I probably would just be repeating things I've said many times before, for example here: https://hn.algolia.com/?dateRange=all&page=0&prefix=true&que... - perhaps some of that would be helpful.

You're a fine HN contributor and obviously a genuine user and I hope I didn't come across as critical! From our side it's just standard HN moderation practice. The way we deal with titles has been stable for many years. It isn't entirely mechanical, there are many subtleties (back to the nuance thing) but the core rules have served the site really well. THe main thing we want to avoid is having the title field be a mini-genre where whoever makes the submission gets to put their spin on the article.

mustaphah|12 days ago

I'm fine with editing the title, and I see your point.

In retrospect, I'd probably avoid "useless." While it's a fairly descriptive term for their finding, it probably carries a subjective tone.