Mind Matters Natural and Artificial Intelligence News and Analysis

TagAndrew Gelman

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Black and white computer keyboard keys close-up. Concept of unstructured big data that need to be sorted ready to be consumed by machine learning model for deep learning.

Large Learning Models Are An Unfortunate Detour in AI

Gary Smith: Even though LLMs have no way of assessing the truth or falsity of the text they generate, the responses sound convincing

For decades, computer scientists have struggled to construct systems possessing artificial general intelligence (AGI) that rivals the human brain—including the ability to use analogies, take into account context, and understand cause-and-effect. Marvin Minsky (1927–2016) was hardly alone in his overly optimistic 1970 prediction that, “In from three to eight years we will have a machine with the general intelligence of an average human being.” AGI turned out to be immensely more difficult than imagined and researchers turned their attention to bite-size projects that were doable (and profitable). Recently, large language models (LLMs) — most notably OpenAI’s GPT-3 — have fueled a resurgence of hope that AGI is almost here. GPT-3 was trained by breaking 450 gigabytes of text data into Read More ›

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Woman sleep on the bed turns off the alarm clock wake up at the morning, Selective focus.

Get Your 8 (or 5?) Hours of Sleep

Data misrepresentation may win you big gigs, but it makes a bad name for scientists

Matthew Walker is a professor of neuroscience and psychology and founder of the Center for Human Sleep Science at the University of California, Berkeley. He has become famous for his book and a TED talk promoting the importance of sleep for health and performance. He even got a job at Google as a “sleep scientist.” Walker has a receptive audience because he is entertaining and his arguments make sense. In one of his books, Walker used a graph similar to the figure below to show that a study done by other researchers had found that adolescent athletes who sleep more are less likely to be injured. The figure is compelling, but there are several potential problems. The hours-of-sleep data were based on 112 responses to an online Read More ›