learning

A classic essay by Peter Norvig arguing that becoming an expert programmer takes about ten years of deliberate practice, and criticizing quick-learning books.

Interactive Scala 3 tutorials that run in the browser with a live editor on every page, free and open source.

A video tutorial explaining how the Python 'or' operator works, from Real Python.

WhatsApp está desarrollando una inteligencia artificial que aprende a comportarse de manera más humana, mejorando la interacción con los usuarios.

An educational article exploring LangGraph, covering agent architectures, the blackboard pattern, and common bottlenecks in building agent systems.

In the age of AI-assisted coding, the author argues that deep understanding of programming language concepts remains essential for engineering, listing key ideas from various languages that expand mental models for problem solving.

ReExplain is a tool that lets you explain what you know to AI and discover gaps in your understanding.

The article explores whether pursuing a career focused on AI agents is a viable and promising path in 2026, offering advice for those considering the field.

Fable Flight lets users learn to fly with a live AI instructor.

Promotional tweet claiming a single article is all you need to learn about State Machines.

A new benchmark test, EgoBabyVLM, challenges AI vision-language models to learn from video footage captured from baby head-cameras, revealing that current AI models fail to match the learning efficiency of infants and suggesting that baby-like learning architectures could lead to more efficient AI.

Tweet by @TheAhmadOsman pointing to a resource for learning how AI kernels work.

A tweet highlights 7 popular GitHub repositories for developers to learn by building real projects, including Build Your Own X and Public APIs.

An account (@oprydai) promotes itself as a resource for those learning various robotics topics including actuators, sensors, kinematics, control, ROS2, SLAM, drones, and more.

The article discusses a new approach in AI where memory systems can autonomously rewire themselves, potentially leading to more adaptive and efficient learning.

A Twitter thread by @aashatwt provides a step-by-step guide on becoming AI native, covering how to understand AI basics, build reusable skills, and use agentic coding tools like Claude Code and Devin.

gstack is an open-source project with 121k stars, created by a well-known figure, and worth studying; another similar project, gbrain, is a toolbox for FDE positions.

A tweet shares how training an LLM from scratch helped the author stand out in AI interviews and answer questions on Transformers, fine-tuning, and RAG confidently.

An opinion piece on using spaced repetition and flashcards (especially Anki) as a general-purpose learning tool, countering the common STEM view that they are only for rote memorization.

This paper presents a general neurosymbolic reasoning and learning methodology that modularly integrates Answer Set Programming with an Energy Based Model substrate, supporting joint optimization in continuous latent space and end-to-end training. It demonstrates applications on MNIST, CLEVR, and MOT benchmarks.