A narrative walk through 90 years of AI history, paper by paper. 66 chapters from Turing 1936 to Blackwell 2025.
The Personal Knowledge Graph You Didn’t Know You Already Wrote
Recreating every milestone in Machine Learning and Artificial Intelligence
A comprehensive homage to 43 computing legends — from Babbage and Lovelace to Hinton and Berners-Lee. Biographical profiles organized by domain: Pioneers, Foundational CS, Systems & Languages, AI Pioneers, Modern AI/ML, and Web & Internet.
An Ontology of Constructed Beings
A scratch-built Python implementation of Frank Rosenblatt's 1958 "Perceptron," demonstrating the biological roots of AI learning through a simple "Pizza Detector" example.
An AI-curated repository detailing landmark papers that shaped Machine Learning, covering foundational concepts, algorithms, and breakthroughs in AI research.
Niche-agnostic master-prompt generator for AI video. Paste NICHE + YOUTUBE_URL, get a 34-section master prompt for any genre. Phase 0 classifier + 5-agent pipeline + Script Writing System + 4 quality gates. Any niche, any language. MIT.
Danielle Vantini — documented AI adoption history dating to 2018. Non-technical founder, AI leader, entrepreneur.
Interactive timelines: AI compute scaling (1900–2026), tech adoption acceleration (1957–2030+), and energetic/biological efficiency parallels. Shows exponential growth, compression, and power laws.
Add a description, image, and links to the ai-history topic page so that developers can more easily learn about it.
To associate your repository with the ai-history topic, visit your repo's landing page and select "manage topics."