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OpenCog Hyperon: A Framework for AGI at the Human Level and Beyond

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arxiv 2310.18318 v1 pith:6JXZ3AHI submitted 2023-09-19 cs.AI

classification cs.AI
keywords hyperonopencogframeworksoftwareadvancedaspectscognitivelevel
verification ladder T0 review T1 audit T2 compute T3 formal
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An introduction to the OpenCog Hyperon framework for Artificiai General Intelligence is presented. Hyperon is a new, mostly from-the-ground-up rewrite/redesign of the OpenCog AGI framework, based on similar conceptual and cognitive principles to the previous OpenCog version, but incorporating a variety of new ideas at the mathematical, software architecture and AI-algorithm level. This review lightly summarizes: 1) some of the history behind OpenCog and Hyperon, 2) the core structures and processes underlying Hyperon as a software system, 3) the integration of this software system with the SingularityNET ecosystem's decentralized infrastructure, 4) the cognitive model(s) being experimentally pursued within Hyperon on the hopeful path to advanced AGI, 5) the prospects seen for advanced aspects like reflective self-modification and self-improvement of the codebase, 6) the tentative development roadmap and various challenges expected to be faced, 7) the thinking of the Hyperon team regarding how to guide this sort of work in a beneficial direction ... and gives links and references for readers who wish to delve further into any of these aspects.

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  1. Asymmetric Communication: Large Language Models and Language Games

    cs.CY 2026-07 conditional novelty 6.5 of 10

    Human–LLM exchange is asymmetric communication: model outputs circulate without commitments, so AGI, hallucination, agency, sentience, and alignment are receiver-side category mistakes, and alignment is institutional ...

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