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Education as Prediction Market
In their bestseller AI Snake Oil, Arvind Narayanan and Sayash Kapoor open their chapter on "How Predictive AI Goes Wrong" with a story from Mount St. Mary's University: how, in 2015, the school had conducted a survey of freshmen to identify ones who were struggling – an
LLM as MLM
No one likes to be wrong. But perhaps what bothers people even more than making a mistake is being made a fool, being tricked or duped. It's no surprise then that many folks bristle at the assertion that "AI" is a con. They stamp their feet
Measure for Measure
Prescriptive Practices
Math teacher Michael Pershan wrote an excellent newsletter this week, and I'd like to start there rather than with the ubiquitous stories about the underwhelming roll-out of OpenAI's latest GPT. Michael's insights are interesting and important; OpenAI, not so much – unless you want to