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Canada Mike's avatar

One of the common threads I find is that we are addicted to maximalist renderings of almost everything. You can't have a news story that says "not a big finding, but seems kinda interesting" or "we went down this dead end and our hypothesis was wrong".... It has to be "the most"... "the best"... or even better, "the worst" .... I am waiting for the weather headline, "ALERT! Biggest snowfall predicted.... since last Saturday"

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Joshua's avatar

Really accurate when it comes to the dilemma of inspiring kids about science while not misrepresenting what the actual life is like. As an astrophysicist, I get asked all the time if I go to huge telescope and look through eyepieces, jotting down Eureka moments. People get really deflated when I tell them it is writing code and squinting at the same data hundreds of times to find signals and decide what is real.

The hype about AI in science is even worse. While random forests, convolutional neural networks, and generative adversarial networks can be really good at classifying signals and anomaly detection, it doesn't do the work of discovery and interpretation itself. It is much more an enabling tool than a transformative tool, at least in the physical sciences where I work.

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