Shayne Heffernan

Thoughts

Thinking

Most writing about artificial intelligence is about capability. This is about the other question: what happens to human judgement when fluent answers arrive instantly, and which parts of a person hold their value when competence becomes abundant and cheap.

Articles in Thinking

4 October 2026

The Evil Legacy of the French Revolution

The French Revolution is still sold as the birthday of the modern world. The ledger does not match the posters. It seized the Church's land and floated its paper money on the seizure, hunted the priests who would not swear, defined the nobility as a moral enemy, and put in their place a political class accountable chiefly to itself. Four knowledge-graph exhibits trace who put the king and queen on the scaffold, and how the template left France.

8 September 2026

Frequencies and Thinking

Thinking is not a metaphor sitting on top of frequency. It is frequency, organised, across four layers that are electrical, chemical, physical and biological. A companion to The Invisible Symphony that ranks frequency pollution by the quality of the human data behind it, noise first and radiofrequency third, then turns to the part you control: what education, exercise, blood pressure, hearing, sleep, diet and purpose have actually proved about cognitive longevity.

6 August 2026

Inside the KXCO AI Sector Ontology: What the Public Map Shows, and What Runs Behind It

The public AI sector ontology at kxco.ai/ontology-live is a working window onto a much larger in-house system, and KXCO says so in plain language. Shayne Heffernan walks the free map: 315 entities, 713 typed and sourced claims, about $2.4tn of tracked flows, four critical findings, nine chokepoints including a shipping lane, fifteen circular capital loops, five mapped opportunities and sell-side consensus on the 14 public majors in the graph. Every number opens into its source.

5 August 2026

Why Context Is the New King in AI

For two years the market has priced one variable: whoever hoards the most accelerators wins. Combined 2026 hyperscaler AI capex is guided to roughly $725 billion, up 77 per cent, and in one week of July more than a trillion dollars came off the chip complex on the fear that spending is peaking faster than revenue. Shayne Heffernan argues the wall is not hardware. It is that scaling a model does not write down a dependency nobody recorded, and sets out the case for an ontology instead.

The full center on Live Trading News

Every piece listed here is published at Live Trading News, wrapped in post-quantum cryptography (ML-DSA-65, NIST FIPS 204) and anchored on Armature L1 at the moment of publication. The text cannot be altered. Re-publish it and it is re-signed and re-stamped with a new chain time, so the original and the change both stand on the record, permanently and in public.