AI
How to keep up with AI without feeling overwhelmed
Feeling behind on AI? A practical guide to AI FOMO: follow what matters, skip the noise and stay up to date without trying every new tool.
The context behind the headlines
AI news, explained for curious people.
Find an AI newsletter that fits your morning, understand the next model launch or make sense of a robot demo. Start with the question on your mind.
Stay informed · 3 guides
Find your way through AI news.
Choose your sources and a newsletter that fits. Leave the endless catch-up behind.
AI
How to choose an AI newsletter you will actually read
Looking for a useful AI newsletter? Compare audience, sources, frequency and sample issues, with a practical checklist for beginners and busy readers.
AI
Where to follow AI news: a source list with a purpose
Find AI news at the source: research papers, lab announcements, model cards and robotics updates. Learn what each source can tell you and what it cannot.
Start with AI · 3 guides
Understand it. Then try one useful thing.
A plain-English starting point, a checkable first experiment and the difference between a chatbot and an agent.
AI
AI news for beginners: understand the next headline
New to AI news? Learn the difference between models, apps, agents and benchmarks through a worked headline, without coding or a wall of acronyms.
AI
How to try AI tools without wasting your weekend
A practical first AI experiment: use a fictional task, check the answer and compare the effort. No coding, tool-hopping or paid subscription required.
AI
AI agents explained: more than a chatbot?
What is an AI agent, and how is it different from a chatbot or automation? A plain-English guide with examples, useful limits and questions to ask.
Models explained · 5 guides
The ideas behind the model launches.
Know what changed, what was tested and what the terminology actually tells you.
AI
How to read an AI model release
A plain-English guide to new AI models: what changed, what benchmarks show, who can use the model, and which limitations matter.
AI
Reasoning models explained: when more thinking helps
What makes a reasoning model different? Understand training, test-time compute and the trade-off between a longer answer and a better result.
AI
What is RAG? Why an AI answer needs the right sources
RAG explained with a simple document example: how retrieval-augmented generation works, how it differs from training and why citations still need checking.
AI
Open-source AI vs open weights: what changes for you?
Open-source, open-weight and free AI are not the same. Understand model access, local privacy, costs and what to check in the next open-model release.
ROBOTICS
World models explained: more than an AI-generated video?
What is a world model in AI? Understand predicted environments, action control and why a convincing video is not proof of a reliable simulator.
Robotics explained · 3 guides
When AI leaves the screen.
From learning to move an object to working in a home: keep the wonder and check the evidence.
ROBOTICS
Physical AI explained: when models meet the real world
Understand physical AI, embodied AI and vision-language-action models. Why moving a real object is different from describing it, with robotics research examples.
ROBOTICS
What does a robot demo actually prove?
How to read robotics research and demos: autonomy, human help, success rates, unfamiliar settings, and the gap between a lab result and a product.
ROBOTICS
Humanoid robots at home: what is actually ready?
Can a humanoid robot help at home? Understand early access, autonomy, remote assistance and the difference between a robot demo and a dependable product.