Welcome! I am a Professor of the Practice in AI/ML at MIT Sloan. These articles are my ongoing effort to demystify AI and make it practical. I hope you find them useful (feedback is welcome: either email me at or send me anonymous feedback via this link). If you'd like to know when I publish new articles, please follow me on LinkedIn.

Sections

AI DemystifiedCurious about how AI works "under the hood"? Start here. No technical background needed.
AI PlaybookA compilation of useful ways to put AI to work.
AI PulseInteresting happenings on the AI frontier.
AI/ML MiscellanyMiscellaneous decks and articles on AI, Machine Learning and Data Science.
RandomBook recommendations, productivity hacks, and random things that resonated with me.
AI Demystified  |  AI Playbook  |  AI Pulse  |  AI/ML Miscellany  |  Random
An 18-minute video that walks through "How ChatGPT Works"
The AI/ML/GenAI landscape (short videos) (March 2024)
If you have been curious about the foundational AI technique that underpins all the advances we see around us - Deep Learning - check out my MIT course. It does use the programming language Python in places, but if you aren't familiar with Python, don't let that stop you. Just skip those parts and you will still pick up all the key ideas behind how Deep Learning works.
AI Playbook  |  AI Demystified  |  AI Pulse  |  AI/ML Miscellany  |  Random
How AI is changing product management at Anthropic (March 2026)
How I am using AI to help me read and understand better (March 2026)
I appeared on The Economist's "Boss Class" podcast and spoke about the under-appreciated costs of making AI reliable. (January 2026)
Using Claude Code for *non-technical* work has been a game-changer for me. (January 2026)
No time to learn prompt engineering? Do this instead. (June 2025)
Getting payback from Generative AI (Sloan Management Review webinar) (March 2025)
Working with LLMs? Keep these things in mind. (September 2024)
AI Pulse  |  AI Demystified  |  AI Playbook  |  AI/ML Miscellany  |  Random
A nice AI-for-good story involving a dog, LLMs, AlphaFold and mRNA (March 2026)
Curious about AI agents? Read this dispatch from the front lines. (March 2026)
How exactly does a foundation model predict something complicated? Here's a nice example from medicine. (February 2026)
Moltbook is the craziest AI thing I have seen recently. (January 2026)
A concise, informative recap of AI developments in 2025. (January 2026)
Will any "easily verifiable" task be eventually conquered by AI? (December 2025)
How AI is changing the nature of work inside a frontier AI lab. (December 2025)
Astonishing examples of how scientists are using GPT-5 in their research. (November 2025)
Examples of people using AI coding tools to be "hyper productive". (November 2025)
A nice, concrete example of fine-tuning an open-source LLM to solve a hard problem. (November 2025)
If you are using the ChatGPT Atlas browser, you should read this. (November 2025)
Lessons from several hundred LLM/agent deployments. (October 2025)
A quick peek into the computer "attached" to ChatGPT and Claude. (October 2025)
Oh Claude Code, what should I do with you? (October 2025)
Claude Skills is a nice way to efficiently use your domain knowledge for your benefit. (October 2025)
Want to sharpen your grasp of AI economics? Read this beautiful exercise in first-principles economic thinking. (September 2025)
Cursor used Reinforcement Learning to increase acceptance rates by 28%. Here's how. (September 2025)
AI use-cases in Advertising/Marketing. (September 2025)
Meta used Reinforcement Learning to increase ad click-through rates by 6.7%. Here's how they did it. (September 2025)
Avoid the 'vibe-coding doom loop' with these LLM practices. (August 2025)
How Google built an LLM-based personal health coaching system. (August 2025)
AI vendors struggling with enterprise adoption are hiring "Forward Deployed Engineers". What exactly is this role? (August 2025)
To make ChatGPT into a personalized tutor, you just need a two-page prompt. (August 2025)
Interested in AI for healthcare? This is worth a look. (July 2025)
AI systems win gold medals at the 2025 International Math Olympiad. (July 2025)
With GenAI, previously un-economical tasks may become viable. (July 2025)
Which AI tool should you use? (June 2025)
LLMs keep crushing tough benchmarks. Does this mean we are closer to AGI? (June 2025)
Are your AI apps "infuriatingly useless horseless carriages"? (June 2025)
If you are using LLMs for "serious" applications, you must check-and-fix hallucinations (May 2025)
If we can understand exactly what an AI model "knows" and how it "thinks", we can make it safer AND more reliable (April 2025)
Is learning from experience data (rather than human-generated data) the key to superhuman AI? (April 2025)
Solving RAG's "lost context" problem (April 2025)
A Foundation Model for Tabular Data (March 2025)
Using LLMs to write code - Advice from Simon Willison (March 2025)
Using GenAI to create no-code prototypes (December 2024)
Generative AI as a New Platform for Applications Development (September 2024)
Identifying AI opportunities in business - don't overlook the things NOT being done (April 2024)
AI/ML Miscellany  |  AI Demystified  |  AI Playbook  |  AI Pulse  |  Random
How big should your sample size be? A handy little formula that every data scientist should know (December 2022)
6 steps for leading successful data science teams (August 2021)
How to Learn Optimal Policies From Data: Part 1, Part 2, Part 3, Part 4 (June-August 2021)
Lessons from a Deep Learning Master (July 2020)
An Alternative to the Correlation Coefficient That Works For Numeric and Categorical Variables (June 2020)
Data Scientists, Ask Yourself Often: So What? (June 2020)
How to Use Causal Inference In Day-to-Day Analytical Work (Part 2 of 2) (June 2020)
How to Use Causal Inference In Day-to-Day Analytical Work (Part 1 of 2) (October 2019)
Create a Common-Sense Baseline First (January 2018)
I Have Data. I Need Insights. Where Do I Start? (July 2017)
Handy Command-Line One-liners for Starting Data Scientists (June 2017)
One More Reason to Prefer Simple Models (April 2016)
Three Ways to Analytic Impact (July 2011)
How Good Management Can Produce Bad Data (Nov 2010)
Random  |  AI Demystified  |  AI Playbook  |  AI Pulse  |  AI/ML Miscellany
Perch on the shoulders of an eminent statistician as he interprets the world - a book recommendation (January 2026)
A few suggestions for taming your reading list. (December 2025)
How economics explains the world. A book recommendation. (November 2025)
Writing ideas down encourages your brain to generate more ideas in the future. (November 2025)
An excellent profile of AI coding "decacorn" Cursor (November 2025)
"Anti productivity" wisdom from the inimitable Kevin Kelly. (November 2025)
Curious about how economic sanctions work? Here's a book recommendation. (September 2025)
Curious about how drugs are discovered? Here's a book recommendation. (June 2025)
Don't fall into the "fast food reading" trap (April 2025)
If you like math/science biographies, you will LOVE this biography of David Hilbert (April 2025)
Nabeel Qureshi's Life Principles - The ones that resonated with me (December 2024)
How to read without slipping into “check the box” mode (May 2022)
You can be - A book for little girls (by Anu Chitrapu) (July 2021)
A Peek into the Incomparable Mind of Isaac Asimov (May 2020)
Just for fun: A Sudoku Solver in Python (May 2019)
Building startups in an exit-friendly way (Jan 2017)
Can Animals Perceive Human Relationships? (Jan 2016)
What an Educated Person Should Know – Steven Pinker (Jan 2016)
The Taste Of This Meal Is Affected By The Room We Sit In (Jan 2016)
The User is Never Wrong (Dec 2015)
Three Supernovae Every Night! (Dec 2015)
Tiponomics: Analytics for Waiters (July 2010)
Farewell to Martin Gardner (May 2010)
The Ascent of Ranking Algorithms (April 2010)
Smarter Cruise Control With Analytics (March 2010)
Applying Behavioral Economics To Retail (March 2010)
Factoids, Stories and Insights (March 2010)
On Cuts and Clutters (my Ph.D. thesis from a long time ago :-))
How to add color to your boring text output (and build a token visualizer while you are at it!)
Find long Python statements annoying? Here's how to break them up
Be careful when you pass lists, dicts or sets into a function
Easily process arguments for your command-line script with argparse
To store related variables (e.g., hyperparameter configs), don't use dictionaries