i found the "personal profile" that it created almost more interesting than the actual feed itself. from quite a small sample of posts it had mapped and summarised my interests really well.
i think the bit that needs the most work is classifying each post on the home page; quite a lot of posts that i would mark as "Dive" given its own classification of me ended up as "Skim".
Yes us to! I spend heaps of time playing with the link between preferences and the profile.
We aren't really sure yet how best to surface _why_ the model predicts what it does. You can hover over the skim label and there is a bit of reasoning text, which might shed some light on why for now. We will think more about how to make these relationships more clear in the process of tightening them up and generally improving them.
Once the relationships are a bit more clear theres probably the 80/20 rule of work to tighten up those predictions.
Are you referring to what's in the textarea on the edit profile text dialog? Seems to be a simple concatenation of the titles according to how I tagged them. If it's indeed this what you're referring to, what did you find interesting about this?
Mine has this analysis at the top, which I found interesting:
## Analysis of user's tech interest: The user shows a strong interest in foundational computing concepts, historical perspectives on technology, and cutting-edge advancements in AI/ML, particularly those related to model architecture and efficiency. They are also drawn to low-level programming, system design, and hardware. Conversely, they seem less interested in business/startup narratives, general data manipulation tools, and consumer-oriented tech news unless it has a deep technical underpinning.