The Great Mental Models project is the clearest way to change the way you see the world, avoid problems before they happen, and make better decisions.
Mental Models: The Best Way to Make Intelligent Decisions (~100 Models Explained)
The smartest people in the world use mental models to make intelligent decisions, avoid stupidity, and increase productivity. Let's take a look at how ...
What are Mental Models? — updated 2026
Harness the power of understanding and predicting user behavior with mental models. Simplify systems and enhance decision-making in your designs.
Crafting a good (reasoning) model
A recent talk I gave on model training, reasoning, and the next frontier.
Models
Amp uses the best model for each task: leading generalist foundation models for complex reasoning and planning, and smaller specialized models for fast, accurate responses in specific domains.
François Chollet on Twitter / X
Eventually, much of AI will converge towards intuition-guided symbolic world modeling, i.e. deep learning-guided program synthesis. It is inevitable. Symbolic modeling lets a system construct a compact, reusable, highly generalizable mental model of a problem space using minimal…— François Chollet (@fchollet) July 2, 2026
Open models are decelerationist - Erlend’s notes
people and planet need open models to win
Why I believe current AI models can really think and understand - Part 1 of 2
How the human mind is different from our conception of it
Mental models for working with coding agents
Model intelligence sets the ceiling. Your workflow with the agent harness sets what you actually ship.
Conceptual Models: The Hidden Structure Behind Your Next Great Interface
Discover the hidden structure behind every great UI. Master how to use conceptual models to design systems that users instantly understand and grow to trust.
Large AI models are cultural and social technologies – Henry Farrell
Debates about artificial intelligence (AI) tend to revolve around whether large models are intelligent, autonomous agents. Some AI researchers and commentators speculate that we are on the cusp of creating agents with artificial general intelligence (AGI), a prospect anticipated with both elation and anxiety. There have also been extensive conversations about cultural and social consequences of large models, orbiting around two foci: immediate effects of these systems as they are currently used, and hypothetical futures when these systems turn into AGI agents perhaps even superintelligent AGI agents.
By Humans, For Humans – Mindful Design
Now, more than ever, we need to consider the real, human impact of the work we do. This is a fundamental principle of Mindful Design.
Collective Flourishing
Our tools for navigating the future haven't kept pace with its growing complexity. Creating new systems that integrate a deep understanding of people, profound advances in modelling and foresight, and expressive interfaces could help us see, reason, and choose a better future together.
Mapping the Mind of a Large Language Model
We have identified how millions of concepts are represented inside Claude Sonnet, one of our deployed large language models. This is the first ever detailed look inside a modern, production-grade large language model.
> Making the models smarter doesn't solve the problem. It makes the problem harder to see. So many relatable sentences here.
Mary Berk
I found this article so, so helpful at explaining why slogging through is the best way to learn (and so much more): ergosphere.blog/posts/the-machines-are-fine/
