Ultimate AI Resource Guide

A weekly case study on how AI makes knowledge work better (by yours truly).

Genuine focus on how AI makes knowledge work better. An AI bull, but very pragmatic.

Specific use cases for marketing and sales. Very timely commentary on model and feature updates.

The world's most comprehensive AI publication (albeit hard to keep up).

Curated links on the technical side of AI but for non-coders.

High-volume and very thorough commentary on all frontier labs. (Paid)

The best tech journalism (which naturally covers a lot of AI).

Technical examples (for non-coders) and timely model updates.

Advice for building web apps using AI.

An engineer shares weekly AI experiments. (A bit more technical.)

More of a "futurist" take on AI, but arguments are compelling, accessible and thought provoking.

Ex-pod manager who is a leading voice on AI and investment research.

Independent hedge fund researcher deeply integrating AI into investment process.

Early OpenAI employee with an incredible knack for breaking down complex topics.

Dan sits on the bleeding edge of AI tech, ethics and use cases and is a leading voice.

Good insights on how enterprises are adopting AI.

AI entrepreneur who actively tests and reports on all models (mostly coding focused).

Primary focus on information retrieval technology (i.e. RAG).

Vibe coder and champion of coding for non-technical folks.

Prolific AI engineer with strong opinions.

Perfect if you want the quick updates every day.

Long-form (and very insightful) conversations with builders, users and thinkers.

Walk-throughs on very specific AI use cases (and vibe-coding examples).

Detailed reviews of new features, models and the AI app ecosystem.

A place to go deep on the technical side of AI.

My favorite video of all-time. A 4 hour (non-technical) explanation of how LLMs work.

More e-book, than podcast, this is like "The Last Dance" for AI.

Data centers power all the AI innovation and this breaks down the history and key issues.