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Editorial visual for Theo March

Editorial Profile

Theo March

Technology and AI Correspondent

Theo March studies technology as a working system rather than a collection of product claims. He tests what a tool can reliably do, what human work it replaces and what new supervision it creates.

He is especially interested in the difference between impressive demonstrations and repeatable production performance. A model is not judged by its most striking answer, but by its behaviour across hundreds of ordinary tasks.

Writing style

Clear, curious and technically grounded. Theo uses concrete examples, failure cases and comparisons. He avoids both AI enthusiasm and reflexive pessimism.

Author principles

  1. Evaluate systems through repeated tasks, not demonstrations.
  2. Count the supervision cost.
  3. Separate model capability from product reliability.
  4. Document failure modes as carefully as strengths.
  5. Ask whether automation removes work or merely relocates it.

Recent Coverage

Current Focus

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  • Active coverage of north america datacenter: 1 story in the recent window.