Thread

Systems

Software as a modelling problem, and the systems people work inside: why enterprise software is the way it is, agents and the tools they are given, and what cheap code does to authorship, judgment and the price of trusted work.

  1. 01

    Software Got Cheap. Contracts Didn't.

    When writing code costs almost nothing, value moves from applications to the handshakes between them.

  2. 02

    Fifteen Guests and a Wallflower

    Design the occasion a room has to survive, and let the people in it score the plan.

  3. 03

    Work You'd Do for Fun

    Why business software was dull, how AI changes the economics of game feel, and what work looks like when software answers back.

  4. 04

    The Organisation Decides With Less Than It Knows

    Institutional memory leaves when experts do. PROXY turns tacit judgement into queryable agents, advisory councils, and an immutable ledger.

  5. 05

    Low Background Steel

    The internet is no longer majority human. A fleet of sunken battleships suggests what happens next.

  6. 06

    Small to Big

    Why BIM cannot compose: moving the built environment from locked CAD files to executable spatial contracts.

  7. 07

    Spec to Site

    The internet was written by hand until it wasn't. The built world is next, and the scarce thing at the far end of that shift is not drawing.

  8. 08

    The Advertising Machine Is About to Learn How You Choose

    Multimodal AI moves advertising from demographic probability to probabilistic models of individual judgment and context-dependent choice.

  9. 09

    When Code Is Cheap, Judgment Compounds

    The enterprise asset is the accumulated ability to specify, evaluate, and reproduce what works.

  10. 10

    Where to Put the Meter

    When raw intelligence becomes cheap, value migrates from software seats and labor hours to the delegation of trusted work.

  11. 11

    After Spec-to-Prod: The Legibility Problem in GovTech

    Beyond adaptable software lies the harder challenge: building a continuously maintained state of reality that governments can actually reason over.

  12. 12

    The Knowledge Shock: Why India Needs Cheap Intelligence

    As software costs collapse, India’s next macroeconomic advantage depends on turning metered inference into productive capital.

  13. 13

    From Writing to Authorship: What AI Changes About Thinking

    When machines can write almost anything, the scarce asset is knowing what you actually mean.

  14. 14

    The Distillation Economy

    How open weights, quantization, and local inference are rewriting the geopolitical supply chain of artificial intelligence.

  15. 15

    The Decision as Software

    When the unit of government software stops being the dashboard and starts being the decision.

  16. 16

    Models Are Not Applications

    What looks like enterprise AI pessimism is a strategic narrative war over market architecture and value capture.

  17. 17

    The Language Games of Law

    LLMs conquered the textual surface of legal practice. The institutional context remains an unsolved system-design problem.

  18. 18

    From Apps to Ontologies

    AI makes government software easy to build but hard to buy—shifting the real moat from generated dashboards to ground-truth civic semantics.

  19. 19

    The Abstract Machine

    Why we stopped writing solvers and started writing the thing that writes them

  20. 20

    The Company Is a Flowchart

    Why the hardest problem in enterprise software is a modelling error, and why the fix has to be free

  21. 21

    The Volume Asymmetry of Physical AI

    Why physical intelligence requires capex substitution, edge perception, and owning the unrecorded state of space over time.

  22. 22

    AI Decentralization Ends at Your Dinner Table

    The intelligence race pushes AI onto owned hardware, then onto your body. A three-to-four-year chain, told as a story.