
The illusion of intelligence: what next-token prediction actually means (for the future of BIM)
Stripping away the marketing hype to understand where GPTs truly work in BIM, and where it dangerously fails.
A newsletter about the business impacts of data we often call 'BIM' or 'openBIM'.
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Stripping away the marketing hype to understand where GPTs truly work in BIM, and where it dangerously fails.

Why none of the LOIN, LOD, IDS, PDT, MVD, IDM standards can validate how complex your geometry is (or should be).

How Adobe's white-glove, enterprise-grade AI strategy provides the ultimate roadmap for Autodesk, Bentley, Trimble, Nemetschek and the next generation of BIM.

Lessons from the 1987 computer revolution on why AEC productivity is still flatlining—and how the '15-year lag' is finally coming to an end.

Lessons from Warren Buffett and the open-source community on why construction innovation and disruption grows from the bottom up.

Your model LOD should be about trust, not volume.

Using advanced AI to stress-test asset logic and spatial designs.

In project coordination, bad data hurts your bottom line, but in automated permit checking, it acts as a loophole to bypass rules

What interplanetary constraints teach us about building better

From battlefield intelligence to live building operations.

The gold medalist will eliminate clashes in your BIM data.

It’s coming for the RFI, the scheduling conflict, and the overhead holding you back.

Moving beyond static snapshots to a future of granular layers, transactional deltas, and frictionless coordination.

What a 1990 futurist manifesto got right (and wrong) about how we build today.

Why Genie could be the missing link in BIM

True data sovereignty needs open definitions.

Is your IFC a digital asset or a legal liability?

A look at different quality steps to Georeference your data

Construction innovates differently

You can't recall a building