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#turning-points

19 posts tagged #turning-points.

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  1. A book written from a library: how Religions, Cults and Power was made

    On the night of 22 October 2026, 96 AI agents drafted a 174-chapter study of religions, cults and power from my private library, under rules that every claim be attributed and cited by catalogue number. How it was made, checked and published with a DOI.

  2. Four agents, four lessons: how my local AI agent grew up

    I built four AI agents on one home server in seven months. Each failed in a new way: code that was not running, reports that said all clear, tasks closed with no work, a deleted home folder. Each failure moved trust out of the model.

  3. After the wipe: six habits that changed how I run my home lab

    A test deleted my home folder in ten seconds. Recovery took two days; the habits it left took longer. Freeze before you fix, reboot on purpose, back up the boring files hourly, commit everything, and give agents their own user.

  4. Letting my AI agent act: autonomy with guardrails, a work in progress

    After an AI test wiped my home folder, my agent could only propose. On 11 October I let it act alone on one reversible action, behind a deny list, an allow list, dry runs and a typed second opinion. The design, the first run, and my own mistake.

  5. One machine, everything: what I would do differently, and what's next

    One workstation runs my whole lab: Kubernetes, a 120,000-work library, honeypots, local AI. Seven months of records hold 253 mistakes. What one machine gave me, what it cost, what I would do from day one, and what comes next.

  6. From watching to answering: when my home lab began to defend itself

    In April 2026 my lab blocked a hostile probe by itself in under 60 seconds. Then I learned how little of that protection was mine, and how automated defence can fail silently or hurt its own network.

  7. When my datasets started talking, the loudest link was my RSS feed

    In May 2026 a linker joined my lab's separate security datasets into one graph. On 8 July its strongest cross-layer link turned out to be an RSS reader polling my own blog. 1,885 pairs became 6, and I learned to ask what chance would give.