Stephen Wolfram discusses understanding proofs discovered using automated theorem proving. Based on Wolfram’s proof of the simplest axioms of logic of Boolean algebra.| writings.stephenwolfram.com
Version 14.1 gains computational advances for human and AI users. Detailed examples of new and expanded features: semantic search, LLMs, symbolic arrays, binomial coefficients, differential and difference equations, PDEs, biomolecules, neural nets, dates, videos, speech recognition, geography, astronomy, geometry, notebooks, natural language input, diffs, compiler, external languages.| 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 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
Wolfram plugin gives computationally accurate answers to ChatGPT queries using Wolfram's data knowledgebase and language. Custom visualizations are given as well. Stephen Wolfram explains how it works.| writings.stephenwolfram.com
AI and the ruliad in the Wolfram Physics Project provide a new way to consider how alien minds might perceive the world. Stephen Wolfram explains how this artificial neuroscience experiment works.| writings.stephenwolfram.com