4 ms·

thanks for the correction, that is an interesting paper. EDIT: a very interesting paper since I am specifically interested in integrating neuro-symbolic cognit

thanks for the correction, that is an interesting paper. EDIT: a very interesting paper since I am specifically interested in integrating neuro-symbolic cognition with large language models. I was paid to work, generally, in the field of symbolic AI in the 1980s and early 1990s and in retrospect I feel like I wasted a lot of my time. I think it is likely that symbolic AI will make a comeback if combined with LLMs, LLMs+function calling, integration with 'explain your steps' LLM prompts, etc.

airesearcher 2y ago
yes Mark - am familiar with your work and good reputation - and yes things go in cycles - seems like every decade AI swings from neuro to symbolic and then from symbolic to neuro - I too spent a decade on 5th Gen computing and then a decade on Semantic Web and now back to neuro with LLMs - but this time adding symbolic on top -- because, as you mention, it is only by combining these approaches that real AGI can happen. Models on their own are what I call "instinctual intelligence" - they don't think they just react immediately with no intermediate cognition. That's not going to get us that far. Symbolic reasoning ABOVE the models is necessary to get to human level insights.