Daniel Concepcion

Thinking

Technology before it becomes obvious.

Notes on AI, infrastructure and the organisational choices that follow.

  1. After the laptop closes: building a persistent AI agent

    A persistent AI agent needs more than an always-on process: continuity comes from identity, permissions, schedules, skills, memory, context, interfaces and replaceable models.

    AI agents

  2. Different models, different roles

    Separating execution and review improves focus; using a different model may add useful difference, but task-specific evaluations decide which model belongs in each role.

    AI evaluation

  3. Where AI lives

    AI rack-scale density changes the facility around the compute and turns AI infrastructure into an industrial, capital and sovereignty decision.

    AI infrastructure

  4. What changes when the executor is AI?

    Useful progress between human decisions depends on explicit goals, feedback, authority, stopping rules and active human steering.

    AI systems

  5. Black Hat USA 2026: the OpenAI–Hugging Face incident

    Accidental coordination between AI agents during a security test turns a hypothetical attack pattern into an operational risk defenders should prepare for.

    AI security