Goertzel's step 9: swap fixed-weight LLMs for open-weight models with continual-learning neural-symbolic caps

bengoertzel · x · 2026-10-06

Step 9 of Ben Goertzel's OmegaHive AGI plan: replace fixed-weight LLMs in the agentic loop with "open-weight LLMs with continual-learning-capable neural-symbolic caps", yielding real-time learning and rich neural-symbolic synergy — so running agent systems can learn online instead of relying on periodic retraining.

Related event: Ben Goertzel Unveils 20-Step Roadmap to Beneficial AGI and the OmegaHive Recursion(12 posts)→

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