Anki is already dead. “Anki’s fatal flaw is that you think you are learning content, but you’re actually just memorizing rectangles.” The article argues that static Anki cards aren’t aligned with natural human learning processes and suggests dynamic methods using […]
My AI skeptic friends are all nuts. “First, we need to get on the same page. If you were trying and failing to use an LLM for code 6 months ago, you’re not doing what most serious LLM-assisted coders are […]
This is excellent. “The example-driven, practical walkthrough of Large Language Models and their growing list of related features, as a new entry to my general audience series on LLMs. In this more practical followup, I take you through the many […]
Simon Willison has been keeping good notes! “Here’s a review of things we figured out about the field in the past twelve months, plus my attempt at identifying key themes and pivotal moments.” ~ learn more
Human forecasting accuracy gets much better when aggregating predictions from a lot of individuals. LLMs are especially bad forecasters compared to these human crowds. But what about crowds of LLMs? “Our finding opens the door for simple, practically applicable steps […]
A presentation by Thomas G. Dietterich, emeritus professor of computer science at Oregon State University, a pioneer of the field of machine learning. “This talk will review these shortcomdifferentings and current efforts to address them within the existing LLM framework. […]
“Large language models enable fracking of documents. Historically, extracting value from unstructured text files has been difficult. But LLMs do this beautifully, pumping value from one of the hardest places to mine.” ~ learn more
“To be blunt, a lot of that [LLM] hype is just some demo bullshit that would fall over the instant anyone tried to use it for a real task that their job depends on. The reality is far less glamorous: […]
I suspect “emergence” will continue to be a dominant force in human progress in this century. Seems like a safe benefit since it’s also responsible for, well, pretty much everything. “A raft of researchers, detecting the first hints that LLMs […]
“But using these LLMs in isolation is often not enough to create a truly powerful app – the real power comes when you can combine them with other sources of computation or knowledge. This library is aimed at assisting in […]