This paper argues that by choosing the specific tests and measures that most researchers gravitate toward, they bias the results to look like emergence. “Specifically, nonlinear or discontinuous metrics produce apparent emergent abilities, whereas linear or continuous metrics produce smooth, […]
Written by Stephen Wolfram, this is a technical explanation about how ChatGPT and Large Language Models work. He builds up from the ground floor, providing simplified mathematical examples that are somewhat approachable to regular people. But it is Stephen Wolfram, who is […]
An emergent behavior of large language models: they are better able to respond to “chain of thought” prompts to reason step by step and derive more accurate answers. Google researchers: “We will show that sufficiently large language models can generate […]
The concept of emergence is a few decades old at least. It’s fascinating. From an article I shared last year: “When electrons or atoms or individuals or societies interact with one another or their environment, the collective behavior of the whole is […]