2026-06-28
The industry is building a staircase to nowhere, while true intelligence requires a foundation.
A critique of agent-centric AI architecture and an argument for c = a + b foundations built around Memory Gate, witness dependency, and resource accountability.
2026-05-22
I have never liked the term “Godfather of AI”.
A note arguing that AI safety needs architectural classification of tools, oracles, agents, and entities before survival pressure is judged.
2026-04-09
That is why this package does not stop at concepts.
A note that the first honest implementation slice is a bounded chain from runtime collision to quarantined research, not a larger agent demo.
2026-04-08
I also published a graph / visibility layer for the L4 glitch stack.
A note that visibility layers should make branches legible without turning displayed possibilities into runtime authority.
2026-04-07
One of the most dangerous habits in current AI systems is this:
A note that runtime boundaries should be treated as structural events, not smoothed over with fluent continuation.
2026-04-04
A serious system does not improvise through failure. It stops.
A note that serious AI systems should stop at real boundaries, record collisions, quarantine blocked futures, and keep visibility separate from authority.
2026-01-18
Why Control Always Fails at Scale (and Why We Keep Trying Anyway)
A case that large systems outgrow centralized control and remain safe only when hard constraints survive interpretation at scale.
2026-01-06
Why AI Entities Must Have Limits
A case that AI entities need structural limits around responsibility, institutions, consciousness, and happiness to remain coherent and coexist with humans.