But maybe worth reframing away from “discovering” - hierarchical planning, sub-goals, action chunking etc. are well understood - this is more of a… transcript of your personal learning journey?
Which is still cool to see. But I read through expecting there to be some kind of novel results. We probably need to categorize these kinds of posts a bit better.
The root of my concern is the overall trend I'm seeing on HN: Someone spends time iterating with a coding agent exploring a field that's new to them. The agent's suggestions come from existing literature, but it rarely says "this is Search on the Replay Buffer, here's the paper." So each new concept feels like a discovery and gets written up that way. The enthusiastic tone of AI-assisted writing adds to this sensationalized effect.
So my concrete feedback would be a title like "Learnings from 600 planning experiments with LeWM on Push-T" since the current one suggests something novel about JEPA world models in general. And cite techniques they've learned along the way so others can learn from source material too.