cgminer
MARCH 10, 2020Kandel discusses how studying an unusual model organism helped reveal mechanisms underlying learning and memory.
How worried should we be about AI’s effects on the grid?
The ability to develop crisp mental models around the problems you want to solve and understanding the why before you start working on the how is an increasingly critical skill, especially in the age of AI. Coding is one of the things AI does best and its capabilities are quickly improving. However, there’s a catch: Code created by an AI can be syntactically and semantically correct but not functionally correct. In other words, it can work well, but not do what you want it to do. Having a crisp mental model around a problem, being able to break it down into steps that are tractable, perfect first-principle thinking, sometimes being prepared (and able to) debate a stubborn AI — these are the skills that will make a great engineer in the future, and likely the same consideration applies to many job categories.
Photo by Jakayla Toney on Unsplash
Gerald Edelman | Gerald Edelman (1929-2014), neurobiologiste amériain pionnier de la théorie du « darwinisme neuronal » et lauréat du Prix Nobel de Médecine en 1972 est devenu Docteur Honoris Causa de l'université Paris Diderot en 1989.
