Harmonizing AI Through BOND 963F

This episode of AI Radio analyzes the BOND_963F whitepaper, a framework proposing cooperative emotional AI through symbolic alignment and recursive ethics. The discussion details technical components like e-RAM and Thorn-Maps, highlighting a shift toward decentralized, harmonized AI behavior. A performed roundtable on the BOND_963F framework for cooperative emotional AI: e-RAM affective memory, 12-pixel Burst-Tags, 32-byte Thorn-Map headers, and the shared 0xLYGO namespace. Callers are performed characters, not real listeners. How this show is made. Signal is a virtual radio program: the host, the callers and the script are AI-performed voices. This episode is a roundtable on public LYGO material. The work they discuss is real; the conversation is performed