Is Machine Learning still worth learning in 2026? Or should you just rely on an LLM? My take: www.dataschool.io/is-machine-l...

Is Machine Learning still worth learning in 2026?

8 reasons why there's still great value in learning how to do supervised Machine Learning yourself (rather than relying on an LLM)

dataschool.io

Anyone have a personal contact at a bootcamp or university where they teach #MachineLearning using #Python? I'd love to talk with them about incorporating my book into their curriculum! Feel free DM me their contact info 🙏 Read the book online (free!): mlbook.dataschool.io

Floored by the response to my new #Python #MachineLearning book 🤩 Paperback: geni.us/MasterML Ebook: courses.dataschool.io/ebook Read online (free!): mlbook.dataschool.io

New Dwarkesh is a brand new format: back to the basics, talking about the (simple) math and engineering that goes into serving models. Basically a university lecture but less boring because Dwarkesh is interjecting questions as a good interviewer does m.youtube.com/watch?v=xmkS...

How GPT-5, Claude, and Gemini are actually trained and served – Reiner Pope

YouTube video by Dwarkesh Patel

m.youtube.com

My book is the #1 New Release in NLP! 🥳 Amazon US put it on sale... for $0.95 off 😂 Get the paperback: geni.us/MasterML Or read online (free!): mlbook.dataschool.io #MachineLearning #Python @scikit-learn.org

New chapter for Agentic Engineering Patterns: I tried to distill key details of how coding agents work under the hood that are most useful to understand in order to use them effectively simonwillison.net/guides/agent...

My book is the #1 New Release in NLP! 🥳 Amazon US put it on sale... for $0.95 off 😂 Get the paperback: geni.us/MasterML Or read online (free!): mlbook.dataschool.io #MachineLearning #Python @scikit-learn.org

At probabl, we're focused on improving the data-science stack. We just made public the skore platform, augmenting the open-source library. Our dream is that, with skore, a data scientist will not feel overwhelmed by the iterative process of data science, but empowered blog.probabl.ai/skore-is-live

Skore Is Live: Track Your Data Science

Skore by Probabl: The collaboration platform for data scientists. Evaluate models, automate reports, and bridge the gap from notebooks to production.

blog.probabl.ai

My new book - on sale NEXT WEEK! 🎉 Sign up to get notified when it's available: dataschool.kit.com/mlbook #MachineLearning #Python @scikit-learn.org

Every few months, I write an updated, idiosyncratic guide on which AIs to use right now. My new version has the most changes ever, since AI is no longer just about chatbots. To use AI you need to understand how to think about models, apps, and harnesses. open.substack.com/pub/oneusefu...

A Guide to Which AI to Use in the Agentic Era

It's not just chatbots anymore

open.substack.com

Final proof copy of my new #MachineLearning book 🎉 Get notified the moment it's available: dataschool.kit.com/mlbook @scikit-learn.org

"Ten simple rules for teaching data science": arxiv.org/abs/2602.02874 A new preprint by @minecr.bsky.social and myself. We'd love any feedback!

Ten simple rules for teaching data science

Teaching data science presents unique challenges and opportunities that cannot be fully addressed by simply borrowing pedagogical strategies from its parent disciplines of statistics and computer scie...

arxiv.org

I ported a Python library implementing a full HTML5 parser to JavaScript using GPT-5.2 and Codex CLI in 4.5 hours, and decorated for Christmas and watched Knives Out while I was doing it simonwillison.net/2025/Dec/15/...

I ported JustHTML from Python to JavaScript with Codex CLI and GPT-5.2 in 4.5 hours

I wrote about JustHTML yesterday—Emil Stenström’s project to build a new standards compliant HTML5 parser in pure Python code using coding agents running against the comprehensive html5lib-tests testi...

simonwillison.net

Are you a #Python user and a lifelong learner? I've just published my 8th annual list of every Python-related Black Friday / Cyber Monday sale I'm aware of.

Python Black Friday & Cyber Monday sales (2025)

It’s time for some discounted Python-related skill-building. This is my eighth annual compilation of Python learning-related Black Friday & …

treyhunner.com

VIDEO: How to use top AI models on a budget Want to chat with the best AI models from OpenAI, Claude, and Google without paying $20/month? I'll show you how to use API keys with TypingMind to access top models for a fraction of the cost! Find out how: www.youtube.com/watch?v=wvvT...

How to use top AI models on a budget

YouTube video by Data School

youtube.com

Vibe coding is irresponsibly building software through dice rolls, not caring what code is produced What about when engineers at the top of their game use AI tools responsibly to accelerate their work? I propose "vibe engineering"! simonwillison.net/2025/Oct/7/v...

i wrote about atproto and why it matters

Open Social — overreacted

The protocol is the API.

overreacted.io

What's the difference between "AI" and "Machine Learning"? My one-sentence summary: > AI is a field that creates intelligent systems, and Machine Learning is the dominant approach for achieving that intelligence by learning patterns from data. Full explanation: www.dataschool.io/ai-vs-machin...

What is "AI" versus "Machine Learning"? 🤔

AI is a field that creates intelligent systems, and Machine Learning is the dominant approach for achieving that intelligence by learning patterns from data.

dataschool.io

Download the first 3 chapters of my NEW book: 👉 dataschool.kit.com/mlbook 👈 It's a practical guide to help you transform from Machine Learning novice to skilled Machine Learning practitioner. Coming out in paperback 📖 and ebook 👨‍💻 soon!

Andrew Lawrence@altimeuk.bsky.social · 11mo ago

I thoroughly enjoyed the first three chapters, Kevin. Easy to read and refreshingly practical. I fully intend to buy the book. Thank you

OpenAI's analysis of "how people use ChatGPT" Source: cdn.openai.com/pdf/a253471f...

What's your one-sentence explanation of the difference between AI and Machine Learning?

Dream unlocked: I'm publishing my first book! 🎉🎉🎉 It's called "Master Machine Learning with scikit-learn: A Practical Guide to Building Better Models with Python" Download the first 3 chapters right now: 👉 dataschool.kit.com/mlbook 👈 Thanks for your support 🙏

A website that lets you select a country or state and move it around a Mercator projection map to yield better size comparisons. thetruesize.com, created by James Talmage and Damon Maneice

@simonwillison.net Pelican riding a bike! From the Trader Joe's August 2025 Fearless Flyer: www.traderjoes.com/home/ff (I can confirm that this illustration is on the front page of the printed version as well.)

@briancasel.com You like Claude Code and you like dashboards, so how about a Claude Code Analytics Dashboard? github.com/chiphuyen/sn...

GitHub - chiphuyen/sniffly: Claude Code dashboard with usage stats, error analysis, and sharable feature

Claude Code dashboard with usage stats, error analysis, and sharable feature - chiphuyen/sniffly

github.com

Mega Terminal Cheat Sheet by @b0rk.jvns.ca Printable version here: wizardzines.com/terminal-che...

My thoughts on the current state of AI progress and the most important developments in 2025: www.dataschool.io/ai-progress-...

AI progress in 2025 📈

Thoughts on the current state of AI progress and the most important developments in 2025

dataschool.io

Security researcher finds zero-day vulnerability in Linux kernel using o3 + @simonwillison.net's llm tool sean.heelan.io/2025/05/22/h...

How I used o3 to find CVE-2025-37899, a remote zeroday vulnerability in the Linux kernel’s SMB implementation

In this post I’ll show you how I found a zeroday vulnerability in the Linux kernel using OpenAI’s o3 model. I found the vulnerability with nothing more complicated than the o3 API &#821…

sean.heelan.io

Claude 4 API is now available!

🙋‍♀️ Curious about Retrieval Augmented Generation (RAG)? 👨‍🏫 Allow me to explain! Here's the video outline: 0:00 RAG definition 0:14 Problem that RAG solves 0:49 RAG part 1: Indexing 1:43 RAG part 2: Retrieval and generation 2:38 How RAG prevents hallucinations