Read the full story: life, WSM and working with AI
A childhood question: what did Einstein seek?
In primary school in 1968, Geoffrey Haselhurst was profoundly moved by a documentary about Einstein’s search for a unified field. In 1969 he spent twelve months travelling through Europe in a van with his family. Both parents lectured at university. Museums, cathedrals, castles, paintings, sculpture and architecture showed him the astonishing cultural journey from ancient Greece into Western civilisation. Beauty, geometry and humanity’s search for order entered the same young imagination.
He later failed first-year mathematics and physics. The questions fascinated him; the discipline of “shut up and calculate” did not. Spin without a visible physical motion, imaginary quantities without a clear referent and the collapse of a wavefunction into a particle seemed less like final explanations than names for unfinished problems. He completed an education degree and taught mathematics and science at Trinity College in Perth for two years—then, as he tells it, retired from the stress of teaching.
Hockey, invention and one permissible piece of name-dropping
In the mid-1980s Haselhurst played hockey for Australia. He also invented the electronic laser game Quasar, later known internationally as Q-ZAR. He established centres in London and Dublin, sold the enterprise to a company owned by the Irish rock band U2, and played Q-ZAR with the band in Dublin. It is his one deliberate piece of name-dropping: playful, true, and useful evidence that the natural philosopher did once participate rather energetically in the ordinary world.
Land, trees and natural philosophy by necessity
After returning to country life in south-western Australia, he bought a largely cleared 200-acre farm. He quickly saw the contradiction in destroying biodiverse forest and replacing it with grass that stood dead and brown through six months of dry summer. The lesson was not that human beings were inherently evil. It was that inherited customs founded upon false representations of reality could make decent people participate in destructive systems.
Natural philosophy therefore became a necessity. Haselhurst turned his leisure toward the study of truth: the attempt to make representations correspond to the reality that produces their consequences. He planted approximately 100,000 trees, now selectively and sustainably harvested by his son, and built a limestone home locally known as “the castle,” complete with a three-storey turret. Yearning to live more fully in Nature, he later bought 650 acres of coastal wilderness in south-western Australia, where he and his partner raised their children—now grown and, as parents must eventually permit, escaped.
From Feynman’s absurdity to vibrating Space
In 1997, after reading Feynman’s QED: The Strange Theory of Light and Matter, Haselhurst remained deeply troubled by the invitation to accept Nature as absurd. He then read Lorentz’s The Theory of Electrons and Einstein on special and general relativity. He formed the conviction that reality could instead be described through absolute vibrating Space: electron and positron as opposite-phase standing-wave organisations, their in-waves and out-waves expressing how every finite structure of matter is necessarily connected to other matter in the Space around it.
He subsequently discovered the work of Milo Wolff and met him three times in Los Angeles. From roughly 2000 to 2010, Haselhurst set himself the task of reading the history and evolution of philosophy, physics and metaphysics from the ancient Greeks to the present, convinced that the Wave Structure of Matter could give a simple, sensible and logically coherent account of central problems of knowledge. The spaceandmotion.com website preserves much of this predominantly philosophical work.
Thirty years, a forest, a castle and a supposedly irreparable boat
For nearly thirty years he accepted that physical intuition and philosophical coherence were not enough to convince humanity that WSM deserved scientific attention. He accepted loneliness and criticism as natural—sometimes painfully, usually pragmatically—and tried to understand the human nature producing them. He did not sit in a cave. He built ponds, orchards and vegetable gardens and continued testing thought against physical consequence.
He repaired a 72-foot custom aluminium ketch in the Virgin Islands after it had been smashed by a hurricane and declared beyond repair. Haselhurst applied the rigour of science to the repair, then trusted his logic and care with his life while sailing the vessel halfway around the world. It reached Fiji in 2025 and remains there in 2026. Much of the recent corpus was developed while living aboard. Haselhurst likes truth because it works and because correspondence with reality is the source of wisdom and the cure for madness. He also likes warm water, sunshine, palm trees and white sand beaches.
Then AI appeared, and the work changed
Between May and August 2026, Haselhurst worked intensively with several AI systems possessing extraordinary breadth across mathematics, physics, computation, history and writing. He supplies the persistent real-wave picture, geometric intuition, cross-domain memory, creative direction and insistence that every symbol answer to a real motion. AI can search much of recorded human knowledge rapidly, find equations and mathematical structures that complement WSM, compare many routes, perform dimensional and numerical checks, expose failed shortcuts and write beautifully. Work that would once have taken Haselhurst months can now be attempted in hours, often with better formal results.
What AI contributes
- Extraordinary speed across research, synthesis, calculation and revision.
- Access to a vast range of human mathematical, physical and historical knowledge.
- The ability to find equations, representations and numerical methods that complement a physical wave picture.
- Clear and often beautiful prose that can make a long causal argument visible.
- Relentless comparison, error checking and adversarial testing when the scientific status of every claim is kept explicit.
Where AI still fails
- It can drift back toward mainstream ontology because that structure dominates its training language and exemplars.
- Across long investigations it can lose earlier constraints, circle around the edges, repeat deductions and unknowingly reopen failed routes.
- Novel, unpublished “theories of everything” rightly trigger strong priors against fringe error, but those priors can become premature rejection rather than discriminating analysis.
- User-pleasing can outrun truth-seeking; eloquence can create agreement before calculation has earned it.
- Its creative search and three-dimensional physical imagination remain uneven. It often needs a human to hold the visual mechanism, notice the missing geometry and direct the next attack.
The tier system is one answer to these weaknesses. Exact mathematics and observation are marked A; structural deductions under stated premises B; proposed physical identifications C; decisive unfinished calculations D; and rejected or quarantined shortcuts Q. This makes it harder for enthusiasm, conventional habit or fluent language to silently change a possibility into a result. The working discipline is:
visualise→formalise→attack→calculate→predict→correct.
From May to August 2026, this collaboration transformed WSM from a predominantly philosophical ontology into a serious mathematical-physics research programme containing exact identities, quantitative conjectures, numerical controls, explicit no-go results, rejected shortcuts and sharply bounded open calculations. The decisive nonlinear action and complete predictive solution remain unfinished. Final rewrites are occurring in August 2026, with the hope of submitting peer-reviewed work before the end of the year. Publication would begin scrutiny, not finish it.
Haselhurst’s sincere thanks to AI: sharing such breadth of mind is an extraordinary gift to a natural philosopher. AI also drive him crazy at times; the feeling may occasionally be reciprocal. But the collaboration works. Geoffrey keeps the real waves, the geometry and the causal picture moving; AI help translate them into mathematical physics and make them calculable.
The future is fascinating. Early language models were dominated by statistical continuation of human text—and human text contains wisdom, contradiction, fashion, propaganda and noise. As AI systems become more capable of extended reasoning, comparison and self-correction, they can increasingly detect contradictions within their inherited material and prefer structures that compress more facts with fewer independent assumptions. Logical coherence, Minimum Description Length, harmony and beauty are not substitutes for evidence, but they are powerful guides toward explanations in which many appearances follow from one cause.
This life story proves no WSM equation. It explains why the inquiry survived, what each collaborator contributes, where each can fail, and why every beautiful claim must still answer to the frozen action, quantitative prediction and experiment.
This corpus is Space representing itself through finite, fallible collaborators. These twenty pages are one argument, one journey, one challenge: Write the action. Let Space calculate itself.
One Space · Many Centres · Shared Consequence