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
Would ChatGPT help you cheat on structural analysis homework?| leancrew.com
Discover generative AI and SEO: Learn how to use GenAI and SEO effectively to create relevant content and enhance user experiences. Learn all about GenAI!| Yoast
It is difficult but not, as it turns out, impossible to lose $400M in a single day in scholarly publishing| Clarke & Esposito
Expert SEO advice from Marie Haynes, specializing in Google algorithm updates, E-E-A-T, and AI-driven SEO strategies to boost your site’s performance.| Marie Haynes
GPT based text generators like ChatGPT or Microsoft Copilot have rapidly become a “cultural sensation”. This document provides scientific background and guidance on how to think critically and mindfully about these tools in academic writing and research.| The Ideophone
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
March 10, 2025| www.kernelcrash.com
Wondering how to use AI for content creation in a way that's responsible and efficient for your business? Here's a complete guide.| Tower Marketing
In a recent LinkedIn post, Rand Fishkin tackled a hot topic for today’s marketers: how do you actually show up in ChatGPT and other large language model (LLM) results? | Pootlepress
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
The reasons why I don’t give permission for material I’ve written to be used as training data for an LLM chatbot designed to do Christian apologetics| Luke Plant's home page
Ready to learn how to rank your website on ChatGPT? Here's 6 ways to enhance your website’s SEO for AI search.| Seene
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
Exploring How Artificial Intelligence is Transforming the Writing Process and How You Can Be Part of the Journey| mikekentz.substack.com
It's no surprise that marketers, founders, and business owners are starting to ask how their brands can be returned in the answers given by AI/LLM tools| SparkToro
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
Ralph Losey. Published April 3, 2024. Large Language Model generative AIs are well-described metaphorically as “stochastic parrots.” In fact, the American Dialect Society, selected stoc…| e-Discovery Team
Just one year after its launch, ChatGPT had more than 100M weekly users. In order to meet this explosive demand, the team at OpenAI had to overcome several scaling challenges. An exclusive deepdive.| newsletter.pragmaticengineer.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
Nächste Woche startet (bizarrerweise wieder einmal parallel zu den Osterferien) das Sommersemester an den Universitäten in NRW und durch eine Umstellung unseres Studienplans, speziell der Inhalte des computerlinguistischen Anteils, unterrichte ich das erste Mal seit 20 Jahren (oh mein Gott!) nicht den Kurs “Computerlinguistische Grundlagen Teil 2”, sondern stattdessen eine “Einführung in die Statistik”. Wie […]| TEXperimenTales
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
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
The Turing test is dead, and we killed it. The Turing test is a test of a machine's ability to exhibit intelligent behavior equivalent to, or indistinguishable from, that of a human. From the 1940s to the 2010s people programmed computers, and computers could only do what they were programmed to do in a rules-based deterministic manner. Sometimes a person would program the computer and it would do something unexpected, but 100 out of 100 times the computer was doing what it was programmed to ...| fabisevi.ch
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
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
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
The Grand Unifying Theory of Design; my rant to AI skeptics; AI design gets innovative; LLM agents are the future; Starship & the next 10 years of space| futureblind.com
I sat down with ChatGPT to caw the crack about its revolutionary functionality and AI in general. Will it put us out of work? Could it ever become sentient? Find out in this exclusive interview.| jamieonkeys
A pragmatic approach to thinking about AI| www.oneusefulthing.org
Anyone can make it. Most of it is at least OK. Some of it's pretty good. A few folks are already sharpening their skills at prompting AIs to generate| SparkToro
Generative Pre-trained Transformer models (GPTs) are now all the rage and have inspired op-eds being written by everyone from Henry Kissinger (WSJ) to Noam Chomsky (NYTimes) in just the last month. That sure is some hype level.| Rodney Brooks
Adding new comments is disabled for now.| betterwithout.ai
Large language models aren't search engines like Google, they are fuzzy processors, a new lifeform entirely!| www.strangeloopcanon.com
ChatGPT ist wohl das zur Zeit mächtigste Künstliche-Intelligenz-Sprachmodell. Wir schauen etwas hinter die Kulissen, wie das "large language model" GPT-3 und| Das Netz ist politisch