Articles by Stephen Wolfram covering artificial intelligence, computational science and computational thinking, data science, education, future and historical perspectives, sciences, software design, technology, Wolfram products, more.
Visit writings.stephenwolfram.com → RSS feedOn Hacker News Mar 2020 – Aug 2026
AI & Machine Learning 15Science & Space 13Software Engineering 10Tech Industry & Business 9Math & Algorithms 6History & Retro Computing 4
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.
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.
Accessing Wolfram|Alpha's computational knowledge with ChatGPT--an ideal combination of precise computation with human-like expression of ideas. Stephen Wolfram explains how.
Wolfram's Foundation Tool supplements LLM foundation models with deep computation and precise knowledge. CAG (computation-augmented generation) underlies multiple access methods.
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.
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.
Stephen Wolfram explores minimal models and their visualizations, aiming to explain the underneath functionality of neural nets and ultimately machine learning.
AI-related upgrades like the built-in AI Assistant, extended computation-augmented generation and the Wolfram Agent Tools framework. Advances in TimeSeries & Tabular. New categorical data, ModelFit automated model selection, symbolic music. Efficient handling of gigabyte-sized notebooks. Gains in the already-robust…
Stephen Wolfram explores how the number of neural connections affects capabilities like language and abstraction. How far we could go accounting for neural nets and LLMS, the fundamental nature of computation, neuroscience and the operation of brains.
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.
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.
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.
Learn how alien intelligence connects to human intelligence through science and technology using the Principle of Computational Equivalence, the ruliad, rulial space, tiny spacecraft and the Wolfram Language.
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.
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.