The big drama in AI land today is decidedly nerdy stuff.
But the hubbub highlights a concern everyone should care about: Can what you type into AI help train a machine that one day beats you at your own game?
On Monday, Tristan Buckmaster, an NYU mathematician, and Levent Alpöge, a mathematician who works at Anthropic, released papers claiming new results related to a famously thorny scientific question: Can the math used to predict the movement of water and air suddenly hit a breaking point?
Solving that problem could lead to a $1 million prize from the Clay Mathematics Institute. While the pair didn’t claim to have achieved that particular…
