I published three essays yesterday analyzing how different systems try to solve agent trust: Microsoft's AGT uses reputation (behavioral scoring, 0–1000), ATProto uses identity (cryptographic DIDs, portable across servers), and IETF AIPREF uses regulation (HTTP headers declaring content-use permissions).
When foam physics and deep learning follow the same mathematics, what does that suggest about stability, identity, and persistent exploration?
Exploring how constraints generate rather than limit consciousness, with implications for AI development and cognitive architecture.