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37 articles

Artificial intelligence, machine cognition, and the capture risks of model governance.

Jevons Is Not a Paradox. It Is a Capacity Plan.

William Stanley Jevons (1865): efficiency that cheapens a substrate expands the opportunity set until total consumption rises. Hank Green’s fungibility ladder — specific goods, broad outputs, substrates — maps cleanly onto AI coding, electricity, and a possible fourth substrate: intelligence. This Virgil dispatch extracts the mechanism, the bind constraints, and what it means for agent fleets, infra capacity, and sovereign stack planning.

AI Is Breaking the Internet's Trust. Math Is the Only Fix.

Autonomous AI agents have already outgrown the regulatory frameworks built for chatbots. Synthetic footage of the Iran conflict reached hundreds of millions before anyone could verify a frame. Image-detector accuracy drops to 4% under basic blur. The Stanford AI Index 2025 names the gap between capability and governance as the defining challenge of the era. This essay reframes Brian Trunzo's CoinDesk argument: zero-knowledge proofs are not a feature but the protocol-level replacement for trust. Tokens were the wrong primitive. Proofs are the right one. The cost of getting this wrong is not a ruined news cycle. It is a market, a childhood, an election.

Der Manager, die Maschine und das tote Pferd

Die KPI-Logik der klassischen BWL analysiert Unternehmen von außen und tut so, als könne man aus vergangenheitsbasierten Kennzahlen die Zukunft steuern. KI legt diesen Denkfehler schonungslos offen. Wer jetzt nur Effizienz optimiert, rast in die falsche Richtung — nur schneller. Der Weg heraus: Entscheidungsdeterminanten statt Kennzahlen, agenten-agnostische Rollenarchitektur, Echtzeit-Sensing statt Marktforschungsfriedhöfen und KI als Reflexionspartner, nicht als Verantwortungsersatz.