I’ve been writing little machine learning and AI bits of code for a pretty long time and while I’m not very good at it, I feel like the one thing I’ve learned is not to look for what I want to see. “Lying with statistics” was one of the most impactful courses I took in college. The confirmation bias in my works before and after we’re substantially different. Turns out you can look at fatalities from driverless cars or put them in perspective when compared to fatalities for the same number of hours driven by humans. Or focus on the mean vs the average. The perspective a quant has shapes…
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Detecting AI-Generated (LLM) Content In Articles
We hear more and more about the pros and cons of AI. There is a movement to regulate the use, movies about dangers of sentient robots, and those who think AI will free humanity from any boring work, or work that involves a lot of repetitive tasks. Going back to the 1950s and 1960s, what they called AI (or what we might call small shell scripts these days) were supposed to “Augment Human Intellect” as the great Doug Englebart wrote about in his 1962 article https://www.dougengelbart.org/content/view/138 or Vannevar Bush’s “As We May Think” from 1945, available at https://www.theatlantic.com/magazine/archive/1945/07/as-we-may-think/303881/. What is an LLM? A large language model (LLM) is a type…
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70 Years of AI Hype Cycles and AI Winters On The Way To ChatGPT