The AI industry is experiencing a significant shift that is not yet widely recognized. While large language models (LLMs) continue to dominate the field, a new approach is emerging quietly. This approach, referred to here as Neurosymbolic LLMs, enables neural network based LLMs to employ symbolic reasoning for performing the task. Unlike pure LLMs, which...
Symbolic AI has been an approach to AGI that has had continuous research since the very beginning. If there are real advances being made in this field, then it’s big news, but this article is, ironically, very obvious A.I. slop itself.
Avoid the repetitive verbal diarrhoea and go straight to the papers that it links:
“Neuro-Symbolic Concepts” by Jiayuan Mao, Joshua B. Tenenbaum, Jiajun Wu
“Towards Learning Abductive Reasoning using VSA Distributed Representations” by Giacomo Camposampiero, Michael Hersche, Aleksandar Terzić, Roger Wattenhofer, Abu Sebastian, Abbas Rahimi