Comment by FailMore
12 hours ago
Because it's hard to find the time to read an academic paper I had an agent summarise it in a few slides:
https://smalldocs.org/s/6kEgfy54oclH4KR9HX847w#k=ywVL86PcTCo...
It's an interesting result (agents develop biases in their context) which reflects a lot of my experience working with agent, where I observe a lot of, what I kind of call, "context nudging" - where a droplet of an idea in an agent's context pushes its direction/output significantly. When it happens to me it always makes me question the type of intelligence LLMs provide.
[I am the developer behind SmallDocs. Source: https://github.com/espressoplease/smalldocs]
It's cool that you're making a seemingly useful bit of software, but this reads like spam. "I had an agent summarize this" isn't particularly relevant to your opinion of it, unless you think the summary may have been misleading; so it comes across as a poor excuse to introduce your self-promotion.
I agree that "context nudging" is a thing. ChatGPT often seems to try really hard to connect ideas back to things I said earlier in the conversation even when it really shouldn't be relevant. But I would call that a matter of "wisdom" more than "intelligence".
> what I kind of call, "context nudging" - where a droplet of an idea in an agent's context pushes its direction/output significantly
I like this description. I constantly notice that how I ask a question strongly impacts the quality and technical merit of the answer I receive which similarly leads me to question any claims of generalization. It should go without saying that they're still incredibly useful tools when wielded properly.