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
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
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
Author: Michael Johnson| www.theseedsofscience.pub
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
Michael Edward Johnson, Symmetry Institute. 12 June, 2024. Crossposted from the Seeds of Science journal; available as a PDF there.| Opentheory.net
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
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
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
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
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
A deep correspondence is discussed between the computational evaluation of symbolic expressions and recent results on discrete models of fundamental 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
