Hong Hao: Destiny and Struggle — from Laplace’s Demon to the Trading Floor

Determinism, AI and the Laplace dream

It has been reported that Hong Hao argued in Huxiu (虎嗅) that a recent podcast by an artificial‑intelligence engineer reframed the old philosophical tug‑of‑war between fate and free will as an engineering problem. The engineer reportedly likened the universe to a deterministic tape: micro‑scale quantum randomness exists, but when averaged across enormous numbers of particles the emergent macro behaviour becomes effectively fixed — a modern restatement of Laplace’s demon. Reinforcement learning, the engine of many AI systems, strengthens that intuition: in a closed, rule‑based environment, optimal strategies are discoverable through repeated trial and error. Are we readers of a prewritten book, rather than its authors?

From quantum dice to statistical fate

Hong Hao’s piece draws a line between irreducible quantum unpredictability at the particle level and the smooth, law‑like regularities that appear at human scales via the law of large numbers. Individual decisions, neural firings and chance encounters may contain real randomness. But aggregated over years and shaped by initial conditions — genes, family background, era and personality — life’s broad arc becomes statistically intelligible. The essay uses this observation to explain why “fortune‑telling” can sometimes capture large patterns even while failing on specifics: macro trajectories are visible; micro events remain dicey.

Markets as emergent machines — and their limits

The article then zooms out to markets, where every trader quietly harbours a Laplacian fantasy. Modelers and quants try to turn finite information into predictions of long‑term trajectories. Hong Hao warns — and it’s a useful reminder for Western readers unfamiliar with China’s financial ecosystem — that markets are not pure casinos nor purely deterministic machines. Short‑term price moves resemble microscopic randomness; long‑term trends — interest‑rate cycles, demographic shifts, technology adoption — are the emergent patterns worth tracking. It has been reported that the essay stresses the folly of mistaking noise for signal: sophisticated models that overfit short windows often fail to capture the slower forces that matter.

Policy shocks, geopolitics and the “initial conditions” problem

The piece also implicates geopolitics. Trade policy shifts, sanctions and abrupt regulatory interventions can reset the initial conditions that underwrite a macro trajectory, shortening the horizon on which statistical predictions remain useful. In China’s context — where state policy, regulatory moves and global tensions periodically reshuffle incentives — investors must respect both micro randomness and the possibility of macro discontinuities. The prescription is practical: be humble about short‑term forecasts; be resolute in identifying durable, structural trajectories and the constraints that might suddenly alter them.