OpenCog Hyperon: A Practical Path to Beneficial AGI and ASI
摘要
We review the OpenCog Hyperon AGI architecture, which couples a self-modifying metagraph (the Atomspace) with the MeTTa pattern-rewriting language to realise a fully reflexive cognitive substrate. On top of that substrate the PRIMUS cognitive model instantiates working, declarative, and procedural memories, an attention economy, and a rapid goal-driven cognitive cycle. We argue that this stack satisfies every functional role identified by the Common Model of Cognition, while remaining light enough to serve as a seed architecture for open-ended self-improvement. Large-language models, formal reasoning engines, and evolutionary program learners all plug into Hyperon as specialised “lobes,” yet the integrative hub remains the Atomspace itself. Running on the decentralised MeTTaCycle fabric, Hyperon avoids single-point capture and enables plural governance of its goal-evolution dynamics. We sketch a staged roadmap shows how, given a production Hyperon stack by late 2025, one might plausibly reach human-level AGI within a few years and then scale toward beneficial super-intelligence.