Navid Taheri·Oct 27What a Machine Can’t Live for YouIn June 2005, the website Playchess.com hosted an unusual chess tournament. They called it “freestyle”: every player could use as many…
Deepak Mehta·Oct 18Broad Categories of Machine-Learning Models: Supervised Learning Models — Part cArticle 2c of 25 — ClassificationA response icon1A response icon1
InNEW LITERARY SOCIETYbyNanni Harbordt·Oct 9the measured factfrom the promise of visibility to the reign of dataA response icon7A response icon7
Deepak Mehta·Oct 4Governed Hybrid Systems: Why Classical and Fuzzy Functions Are Stronger TogetherArticle 8 of 8 — Classical Vs Model-Based Fuzzy Function Series
InThe Short Story ReviewbyNanni Harbordt·Oct 4when does a machine stop being just a machine?E.T.A. Hoffmann’s “The Automata” and the blurred boundary between human, machine, and imaginationA response icon10A response icon10
Ravi Sankar Uppala·Oct 2When AI Agents Stop Using Words, Who Is Watching?Latent communication between language models is moving fast. The harder question is no longer whether it works, but what actually crosses…
InGenerative AIbySijuade Oguntayo·Oct 1What Does It Mean for an AI to Understand the World?Why knowing about the world and being able to predict it may be two very different things, and what that gap means for large language…A response icon1A response icon1
Ifeanyi Ogbuehi·Sep 30If machine learning still just means “neural networks” in your head, you’re missing most of the map.Same data. Eight algorithms. Eight completely different ideas of what learning means.
Vahid Naghshin·Sep 28From Magic to Machine: Understanding the Architecture Behind the AI RevolutionSomething remarkable happened in late 2022. A conversational AI application crossed one million users in five days (~100 Million in two…
Kim, Jace (Jeong Hyeon)·Sep 24Jace’s Question #49 — THE TURING TEST : WHO TESTS THE TEST?A simple look at the biggest test in AI — and the problems most people don’t see.
