2025-05-28 Brian Kihoon Lee LLM training datasets includes novices asking questions that don’t make sense, as well as experts that know exactly the piece of information they are lacking and are now requesting. How you ask your question determines which…
2025-04-29 Vítor Fróis Building an intuitive understanding of how Linear Regression works and how it leads to Gradient Descent
2024-07-28 Gary Marcus My strong intuition, having studied neural networks for over 30 years (they were part of my dissertation) and LLMs since 2019, is that LLMs are simply never going to work reliably, at least not in the general…
2024-05-05 Miguel Grinberg
2023-09-23 David Corney … build a text-generating model that is as transparent as possible, with nowhere for sentience to hide.
2023-08-31 Amanda Gefter In a series of papers, Blumberg articulated his theory that the brain uses REM sleep to “learn” the body. You wouldn’t think that the body is something a brain needs to learn, but we aren’t born with…
Visualizations of low dimension artificial neural networks transforming the input into a representation that can be separated by a line with the different classes of data on each side. Neural Networks, Manifolds, and Topology 2014-04-06 Christopher Olah
The Lovelace test demands of a computing machine that it not only produce an artifact that is by conventional standards amazing, but it leaves everyone looking at it stupefied as to how it does what it does: including in this…