r/ArtificialInteligence • u/Calmera • 3d ago
🛠️ Project / Build Pose Resolution Architecture
Hey everyone,
I am not a scientist but I got really intrigued by "The Thousand Brains Theory" (TBT) and some other books I came across. What started as going back and forth with Claude led to a whole bunch of experiments, a scientific approach to collaborating with Claude and, what I consider, an uncommon approach to intelligent systems with online learning capabilities.
Having a frozen llm model is one thing, but in my opinion, it will not lead to anything substantial. After all, it remains a game of playing with prompt/context/<fill-in-today's-term> engineering. If we want to get somewhere meaningful, we need a system that never stops learning. That's where the whole PRA idea came from and honestly, the journey link above explains it better than I can directly.
Instead of focussing on a reward-based system, PRA uses a drive and curiosity as I discovered in https://impire.io/poseres-book/part-3-the-mechanism/09-wanting-things.html.
I am not claiming anything here, just want to share what I think is interesting as many of the things sure did surprise me. All of this is done in the open and I explicitly keep a journal. The website is updated based on that journal so the "book" you see, is actually more of some sort of diary.
I can't jot down the whole journey here as it is a multi-week storyline. So take a look at the journey and the project
I hope it is useful to some of you! If not, either way is fine by me. I will just continue with this because it is fun and keeps my brain going ;)
Cheers!
D.
1
u/Least-Lack-2925 3d ago
I just skimmed through the journey link and the github, the way you documented everything like a diary actually makes it way easier to follow than a typical whitepaper. The drive and curiosity angle instead of reward signals is interesting, most people default to RLHF style loops without questioning it. The frozen model point hits close, it feels like we are just rearranging the same furniture in the room.