But the biggest draw is simpler: AI is where hot money and investor attention is headed now. The capital that once chased cryptocurrencies is now chasing computer, chip and model builders, and every leap in what these systems can do broadens that appeal.
Each result, like Fable’s finding on the Jacobian conjecture, strengthens the case for investing capital in AI and poses a difficult conundrum for cryptocurrency investors: why own a token that is traded as an add-on to the AI cycle when someone can own the vehicle itself?
The AI capability curve is steep, and the steeper it gets, the more the market’s risk appetite shifts away from everything else, including cryptocurrencies.
What really was the problem?
Consider a machine that takes two numbers and returns two new numbers, using only addition and multiplication. The question, first asked in 1939, was whether the machine can always be run backwards: given only its answer, can the original two numbers be recovered each time?
Mathematicians had a quick way to check if a machine seemed reversible. The Jacobian conjecture said that if a machine passed that test, it should always be reversible.
For 87 years, no one could prove it was true and no one could find a machine that broke the rule.
