learning math

A one-minute clip from a 2016 Toronto conference in which Geoff Hinton comments on deep learning and radiology. He suggests radiologists should stop being trained because machines would soon read scans better.

Thunderf00t critiques the TeamTrees campaign, doing the math on how little carbon 20 million trees would actually offset. He argues that tree planting is far from adequate against global emissions.

The video argues that machine-learning-based aimbots, which read the screen and drive the controls externally, could make cheating in FPS games undetectable. It explains how conventional aimbots work, how the new approach differs, and speculates on possible detection.

Physicist and YouTuber Angela Collier argues in this hour-long video that AI as commonly described does not really exist. She covers the limits of the tools, biased datasets, and why they should not be used to make decisions.

A short clip from a 1973 NOVA episode in which Richard Feynman recalls his father teaching him that knowing the name of a bird in many languages tells you nothing about the bird.

Veritasium argues that every new technology, from motion pictures to TV, was predicted to revolutionize education and none did. It asks what actually could, drawing on the host's physics education research.

Nassim Taleb argues that evidence on terrorism risk presented in media is statistically naive, using extreme value theory without math to separate fat-tailed risks like Ebola and terrorism from thin-tailed ones.

A 13-minute video in which Ted Nelson lays out his theory about who created Bitcoin, proposing that Satoshi Nakamoto is a pseudonym for mathematician Shinichi Mochizuki.

Alibaba's Jack Ma and Tesla's Elon Musk debate artificial intelligence on stage in Shanghai in 2019.