This paper proposes a solution to the symbol grounding problem by merging neural perception with symbolic logic.
We are currently testing this architecture in a live agent environment to verify the theoretical optimization claims. If you want to see the architecture in action, we have a running implementation here: https://www.bitterbot.ai
Happy to answer questions about the Neuro-Symbolic integration.
hmm, can't tell if complete bullshit or a work of genius.
On the one hand, the approach overlaps a lot with my thinking, and has some original tweaks (like the emotionally valenced reward signals). Saying that as someone from a robotics/AI background nowadays involved in GenAI, with a few years of phd research on NeuroAI, curious about molecular neuroscience and the Free Energy Principle (as conceptualised by Karl Friston and Mark Solms).
On the other:
- this plausibility dilemma is the hallmark of LLMs
- has all the buzzwords imaginable
- no code, no raw outputs, no official confirmation (by ARC)
Hey. Just following up if there is any interest in seeing our logs to validate our results? You are the exact type of folk I was hoping would see our paper.
3 comments
[ 3.9 ms ] story [ 16.0 ms ] threadThis paper proposes a solution to the symbol grounding problem by merging neural perception with symbolic logic.
We are currently testing this architecture in a live agent environment to verify the theoretical optimization claims. If you want to see the architecture in action, we have a running implementation here: https://www.bitterbot.ai
Happy to answer questions about the Neuro-Symbolic integration.
On the one hand, the approach overlaps a lot with my thinking, and has some original tweaks (like the emotionally valenced reward signals). Saying that as someone from a robotics/AI background nowadays involved in GenAI, with a few years of phd research on NeuroAI, curious about molecular neuroscience and the Free Energy Principle (as conceptualised by Karl Friston and Mark Solms).
On the other:
- this plausibility dilemma is the hallmark of LLMs
- has all the buzzwords imaginable
- no code, no raw outputs, no official confirmation (by ARC)
- Agentic AI play, walled demo page
I might just be too hopeful (and gullible)...