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 reflects on making his favorite science discovery from 40 years ago, code 10. A new look at this totalistic cellular automaton using modern tools.| 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
Some of Stephen Wolfram’s “productivity hacks” to make his days and projects more productive. Daily life, desk environment, outside the office, presentation setup, filesystem organization, Wolfram Notebook systems, databases, personal analytics.| Stephen Wolfram Writings
Introducing The Ruliad—by definition the biggest object in metascience... the infinite limit of all abstraction, encompassing all possible views of our universe, our mathematics and all formal systems...| writings.stephenwolfram.com
Utilizing data analysis capabilities in Wolfram|Alpha Pro, Stephen Wolfram looks at his quantified self based on his large collection of lifelogging data.| 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
Comprehensive documentation for Mathematica and the Wolfram Language. Details and examples for functions, symbols, and workflows. Organized by functionality and usage.| reference.wolfram.com
Stephen Wolfram explores multiway systems as minimal models for growth processes based on aggregation and tiling. Also, how to use this concrete application as a way to develop further intuition about multiway systems in general.| writings.stephenwolfram.com
In his TED Talk, Stephen Wolfram covers the emergence of space by the application of computational rules to spacetime, gravity and quantum mechanics to AI and LLMs. Computational irreducibility and the ruliad.| writings.stephenwolfram.com
Curated collection of prompts for use with LLMs. Accessible interactively in Chat Notebooks and programmatically in functions like LLMFunction. Initial categories in the Prompt Repository cover personas, functions, modifiers.| 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
How to install and use Wolfram's instant LLM-powered functions. Stephen Wolfram shares dozens of examples and explains how the functions work. Also download| writings.stephenwolfram.com
A deep correspondence is discussed between the computational evaluation of symbolic expressions and recent results on discrete models of fundamental physics.| 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
Wolfram expands Notebooks, integrating LLM functionality into the new chat cell and Chat Notebook. Stephen Wolfram explains how chat-enabled and chat-driven versions work.| writings.stephenwolfram.com