Theories of the World Several often arrive in a single day. Sometimes they’re marked “urgent”. Sometimes they’re long. Sometimes they’re short. Sometimes they’re humble. Sometimes they’re conspiratorial. And sometimes, these days, they’re written “in collaboration with” an AI. But there’s a common theme: they’re all emails that present some kind of fundamental theory invented by […]| Stephen Wolfram Writings
Version 14.3 features new and updated functionality, particularly in core areas of the system. Examples for dark mode, agentic AI, maps & graphics, non-commutative algebra, surface plotting, curvature computation, geodesics, molecules, proteins, control systems, Tabular and many other functions.| writings.stephenwolfram.com
Collection of articles written by Stephen Wolfram in 2019 covering a wide range of topics from artificial intelligence to education, the future or technology and software design.| writings.stephenwolfram.com
Cats Don’t Talk We humans have perhaps 100 billion neurons in our brains. But what if we had many more? Or what if the AIs we built effectively had many more? What kinds of things might then become possible? At 100 billion neurons, we know, for example, that compositional language of the kind we humans […]| Stephen Wolfram Writings
The Drumbeat of Releases Continues… Notebook Assistant Chat inside Any Notebook Bring Us Your Gigabytes! Introducing Tabular Manipulating Data in Tabular Getting Data into Tabular Cleaning Data for Tabular The Structure of Tabular Tabular Everywhere Algebra with Symbolic Arrays Language Tune-Ups Brightening Our Colors; Spiffing Up for 2025 LLM Streamlining & Streaming Streamlining Parallel Computation: […]| Stephen Wolfram Writings
Note: As of today, copies of Wolfram Version 14.1 are being auto-updated to allow subscription access to the capabilities described here. [For additional installation information see here.] Just Say What You Want! Turning Words into Computation Nearly a year and a half ago—just a few months after ChatGPT burst on the scene—we introduced the first […]| Stephen Wolfram Writings
Always interested in exploring recursive functions, Stephen Wolfram takes a fresh look using the most modern Wolfram Language tools and finds new surprises.| writings.stephenwolfram.com
Stephen Wolfram investigates the discovery of structures since the Game of Life was invented--searching possibilities versus invention by explicit effort. A thorough look at oscillators, modularity, glider guns.| writings.stephenwolfram.com
Stephen Wolfram takes the first steps in developing a medical metamodel framework for studying and formalizing the abstract foundations of medicine.| writings.stephenwolfram.com
Stephen Wolfram explores some of the science, technology and philosophy of what we can expect from AIs. From how ChatGPT works to the cycle of technology, to the concept of progress and preparing for an AI world.| writings.stephenwolfram.com
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
Additional implications for the foundations of biological evolution found in the adaptive cellular automaton model that Stephen Wolfram introduced in an earlier post.| writings.stephenwolfram.com
Stephen Wolfram takes a computational view of time, defining it abstractly, and the implications from computational irreducibility.| writings.stephenwolfram.com
On his 65th birthday, Stephen Wolfram details how his 'now or never' thinking has made the last five years some of his most productive. Read about his projects in tech and science.| writings.stephenwolfram.com
Stephen Wolfram explores minimal models and their visualizations, aiming to explain the underneath functionality of neural nets and ultimately machine learning.| 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 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
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
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
Wolfram's Version 14 includes expansive connections to and from LLMs. New learning tools, including courses and books. Plus, functionality advances in math, core language, video objects, trees, finite fields, Knowledgebase, systems engineering, graphics. Astro, biological and chemical computation.| 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
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
Stephen Wolfram shares memories of Doug Lenat, early AI pioneer and developer of the CYC system. Their discussions around AI & logic and the potential combined uses of their respective discoveries.| writings.stephenwolfram.com
Wolfram's Version 13.3 includes a subsystem around LLMs plus new functionality in integrals, special functions, finite fields, computational geometry, live highlighting in visualizations, AR & VR deployment. See examples for those and dozens of other enhancements.| 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
Stephen Wolfram shares larger-than-life stories, research and projects of his friend Ed Fredkin. Plus, their debates over programming and physics.| 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
