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Stock Trader Sleeping At Multiple Computer's Desk

More Hard Math Does Not Necessarily Mean More Useful Solutions

It is sometimes tempting to overemphasize the math and underemphasize the relevance

Math is said to be the language of science in that most (but definitely not all) scientific models of the world involve mathematical equations. The Pythagorean theorem, the normal distribution, Einstein’s energy-mass equivalence, Newton’s second law of motion, Newton’s universal law of gravitation, Planck’s equation. How could any of these remarkable models be expressed without math? Unfortunately, it is sometimes tempting to overemphasize the math and underemphasize the relevance. The brilliance of the models listed above lies not in mathematical pyrotechnics but, if anything, in their breath-taking simplicity. Useful models help us understand the world and make reliable predictions. Math for the sake of math does neither. Examples of mindless math are legion. I will give three very different examples. Read More ›


Would AI Still Win at Go If the Board Shrunk: 19 to 17 Spaces?

No, say Jeffrey Funk and Gary Smith — and would-be investors need to grasp AI’s weaknesses as well as strengths, for success

Statistician Jeffrey Lee Funk and business prof Gary N. Smith offer a warning for investors: Some AI stocks have been good investments but most high tech unicorns never pay off. It’s a not surprising, they say, when we consider that AI is powerful but brittle. An example they offer: AI easily beats humans at the game of go which features a 19 × 19-square board. If the game switched to a 17 × 17-square board, humans would quickly adjust but AI would flounder. They offer examples of how this sort of limitation plays out in the real world, including the true tale of a hapless AI-driven insurance company: An insurance company with the quirky name Lemonade was founded in 2015 Read More ›