Stephen Wolfram explores minimal models and their visualizations, aiming to explain the underneath functionality of neural nets and ultimately machine learning.| writings.stephenwolfram.com
Stephen Wolfram explores the potential--and limitations--of AI in science. See cases in which AI will be a useful tool, and in others a less ideal tool.| writings.stephenwolfram.com
Stephen Wolfram explores simple models of biological organisms as computational systems. A study of progressive development, multiway graphs of all possible paths and the need for narrowing the framework space.| writings.stephenwolfram.com
Stephen Wolfram reflects on the impact and future of his discoveries published 15 years ago. How the computational universe applies more broadly and abstractly.| Stephen Wolfram Writings
Stephen Wolfram discusses building a general observer theory using discoveries from the Physics Project and NKS, including the ruliad. Read how the nature of observers is critical to determining the most fundamental laws we attribute to the universe.| writings.stephenwolfram.com
Stephen Wolfram explores the broader picture of what's going on inside ChatGPT and why it produces meaningful text. Discusses models, training neural nets, embeddings, tokens, transformers, language syntax.| writings.stephenwolfram.com
