Traditional value metrics are arbitraged away by quants. The new edge lies in unconventional scenarios like stocks with cult followings and assets fueled by zero-day options, similar to how sports strategies evolve to extremes. Fundamental analysis is now just table stakes.

In emerging markets that are clearly large and untapped, like AI visibility, the competitive advantage doesn't come from a secret idea. Instead, the prize goes to the team that executes with the most aggression and speed, rapidly capturing market share before it becomes saturated.

When Garry Kasparov faced IBM's Deep Blue, he used "insane" opening moves to take the computer "out of the book" and away from its programming. Investors can apply this by focusing on situations where historical data is irrelevant, like spinoffs or paradigm shifts like AI's impact on power demand. This forces systematic strategies into uncharted territory where they are weakest.

In a world where AI can efficiently predict outcomes based on past data, predictable behavior becomes less valuable. Sam Altman suggests that the ability to generate ideas that are both contrarian—even to one's own patterns—and correct will see its value increase significantly.

As quantitative models and AI dominate traditional strategies, the only remaining source of alpha is in "weird" situations. These are unique, non-replicable events, like the Elon Musk-Twitter saga, that lack historical parallels for machines to model. Investors must shift from finding undervalued assets to identifying structurally strange opportunities where human judgment has an edge.

The immense performance gains in Rubik's Cube competitions, driven by a mere $36,500 prize pool, illustrate the hyper-competitive nature of finance. If such small stakes lead people to solve cubes with their feet faster than predecessors did with their hands, the astronomical rewards in investing create an almost insurmountable competitive environment for traditional strategies.

Advanced AIs, like those in Starcraft, can dominate human experts in controlled scenarios but collapse when faced with a minor surprise. This reveals a critical vulnerability. Human investors can generate alpha by focusing on situations where unforeseen events or "thick tail" risks are likely, as these are the blind spots for purely algorithmic strategies.

If a highly successful person repeatedly makes decisions that seem crazy but consistently work, don't dismiss them. Instead, assume their model of reality is superior to yours in a key way. Your goal should be to infer what knowledge they possess that you don't.

Amateurs playing basketball compete on a horizontal plane, while NBA pros add a vertical dimension (dunking). Similarly, individual investors cannot beat quantitative funds at their game of speed, data, and leverage. The only path to winning is to change the game's dimensions entirely by focusing on "weird," qualitative factors that algorithms are not built to understand.