Hello everyone,
I don't believe this breaks any of the subreddit rules, and I'm genuinely not here to advertise anything.
I'm posting because I know people are going to question what I'm building, and that's exactly the feedback I'm interested in. I'd much rather have people challenge the ideas than simply agree with them.
My overall approach is already set in stone, so I'm not looking to change direction. What I am looking for is thoughtful discussion, constructive criticism, and ideas that might help strengthen the project.
If you think there's a flaw in the reasoning, tell me. If you think I'm overlooking something, point it out. That's the kind of conversation I'm hoping to have.
Thanks for reading, and I'm looking forward to hearing your thoughts.
I've been working on a research project called Sprout over the past couple of years.
Instead of building another large language model, I'm exploring a different question: Can an AI learn progressively through deterministic symbolic reasoning without relying on GPUs or neural networks? The focus is on explainability, governance, and refusing to answer when there isn't enough evidence rather than generating plausible responses.
Right now it's still very early in its education—think elementary school level. It learns one concept at a time, keeps an auditable knowledge base, and every answer is expected to be traceable back to the facts that support it. If it can't prove an answer, it says it doesn't know.
I'm not claiming this is the future of AI or that it replaces LLMs. It's simply a research experiment exploring whether a slower, governed, deterministic approach has value alongside modern AI systems. I'm interested in thoughtful technical discussion, criticism, and questions.
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