Updates & Changelog

AI moves fast, and this guide evolves with it. This page tracks major updates, new modules, and significant revisions. Check back periodically to see what's changed.

v1.1 — December 2025

New Modules

• So...What Next? — A comprehensive guide (~6,200 words) for learners who've completed the curriculum. Covers staying current, finding your niche, developer foundations (Git, command line, APIs), AI-powered development tools, AI agents, and practical first projects.
• AI-Powered Search — Answer engines, deep research tools, and knowing when to just Google it. Covers Perplexity, ChatGPT Search, Google AI Overviews, and medical-specific search considerations.

New Content

• 2025 AI landscape overview — Updated coverage of GPT-5/5.1/5.2, Claude Opus 4/4.5, Gemini 3, and DeepSeek releases
• AI Evaluation (Evals) deep dive — Why evaluation methodology matters for clinical AI deployment, core concepts, and learning resources
• AI Agents section — What agents are, healthcare use cases, risks and safety considerations, current technologies (n8n, LangChain, MCP)
• AI Browsers (Comet, Atlas) — Overview of agentic browsers with warnings about prompt injection and why they're not ready for clinical use
• Developer Foundations — Expanded tutorials on Git, command line, and APIs including step-by-step API key setup for OpenAI, Anthropic, and Google
• Tool deep dives — Detailed coverage of Cursor, Claude Code, and Codex with safety warnings about autonomous operation
• Lenny's Pass — Information about the newsletter subscription bundle that provides access to multiple AI tools

New Resources Added

• Simon Willison's Blog — Added to information diet recommendations
• AI Cred — Nate's resource to learn and test AI knowledge
• Your AI Product Needs Evals — Hamel Husain's introduction to evaluation
• Parlance Labs AI Evals Course — Comprehensive evaluation methodology
• GitHub, Codecademy, and freeCodeCamp learning resources for developer foundations
• Command line safety warning with link to cautionary incident

Module Updates

• The Big Three — Significant rewrite to focus on practical/structural differences rather than subjective quality claims. Added "Knowing Your Options" market context, "Just Pick One and Start" guidance, and "Evaluate With Your Own Use Cases" section. Removed claims about model "strengths" that shift with every update.
• AI Image and Video Creation — Updated with OpenAI's GPT Image 1.5 release (December 16, 2025). New model is 4x faster with improved text rendering, precise editing with facial likeness consistency, and new dedicated Images experience in ChatGPT sidebar.
• LLM Thinking — Added BMJ article on "Parallel pressures: the common roots of doctor bullshit and large language model hallucinations"
• Clinical Decision Support — Added "Semantic Drift" section featuring Dr. Olivia Milgrom's analysis of the OpenEvidence/oxacillin dosing incident
• Bias, Ethics, and Training Data — New module added to Foundations section
• When Patients Use AI Too — Enhanced with empathy-focused approach and expanded provider tools section
• Ambient AI Tools — Updated with 2025 research and current scribe landscape
• Everyday Ways to Use AI — Updated with 2025 tools and practical examples
• Vibe Coding — Expanded coverage of AI-powered development tools

Site Improvements

• Module update dates — Each topic card on the home screen now displays when it was last updated, helping you identify recently revised content
• Buy Me a Coffee — Added support button to About page for those who find the guide helpful
• Author bio — Added background information on the About page
• Contribute form — Wired up the contribution form for submitting suggestions and corrections

Fixes & Cleanup

• Fixed multiple broken links across PHI/HIPAA, Start Here, and other modules
• Removed outdated or non-functional resources (Two Minute Papers, Aitrepreneur, some Reddit communities)
• Updated NotebookLM tutorial link to current Google documentation
• Various typo and formatting corrections

v1.0 — November 2025

Initial Release

First public release of AI 101: A Self-Paced Guide to AI in Medicine.

Foundations Modules

• Start Here — Introduction using NotebookLM
• How LLMs Think Like Clinicians — Mental models for understanding AI
• PHI, HIPAA, and AI — Privacy considerations for clinical AI
• The Art of the Ask — Effective prompting techniques
• The Big Three — Guide to ChatGPT, Claude, and Gemini
• AI 101 for Medical Learners — Student and trainee-focused guidance

Using AI Modules

• Clinical Decision Support Tools — From UpToDate to OpenEvidence
• Ambient AI Tools — AI scribes in practice
• AI Image and Video Creation — Visual AI for healthcare
• Everyday Ways to Use AI — AI beyond medicine
• When Patients Use AI Too — Guiding patient AI use
• Vibe Coding — Building software without writing code

Resources

• AI's Environmental Footprint — Sustainability considerations
• Running AI Models Locally — Technical guide for local deployment
• AI Glossary & Learning Resources — Reference and further learning

Staying Updated

Bookmark this page and check back periodically to see what's new. You can also view the full commit history on GitHub.