The Most Interesting Thing in A.I. Neuro-Symbolic AI - with Nicholas Thompson and Ohad Elhelo
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Oct 15, 2025 In this engaging discussion, Ohad Elhelo, co-founder and CEO of AUI, delves into the realm of neuro-symbolic AI and its flagship model, Apollo 1. He highlights the hybrid architecture's promise to merge the fluency of generative AI with reliable symbolic reasoning. Ohad reveals insights on the limitations of current chatbots, explores how Apollo 1 tackles the hallucination issue, and discusses its applications in task-oriented dialogues, particularly in automotive sales. He envisions a future where Apollo 1 enhances various industries through robust AI capabilities.
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Neuro-Symbolic Fusion For Better Agents
- Neuro-symbolic AI combines neural fluency with symbolic logic to address shortcomings of pure LLMs.
- This hybrid approach aims to make conversational agents more reliable for task completion.
Two Halves Of Conversational AI
- Conversational AI splits into open-ended dialogue and task-oriented dialogue with different success criteria.
- Task-oriented systems need fluency, deterministic execution, and strict policy adherence to be production-ready.
Why Reliability Beats Creativity In Tasks
- Task-oriented interactions require near-perfect reliability because errors create very bad user experiences.
- Enterprises need deterministic execution and granular policy control, not just fluent responses.