How the AI ecosystem works: from power plants to the apps on your phone
AI is often seen through chatbots, but it rests on a five-layer stack of energy, chips, infrastructure, models and applications, each with its own economics.
Explainers, how-tos and analysis for everyday users and businesses.
AI is often seen through chatbots, but it rests on a five-layer stack of energy, chips, infrastructure, models and applications, each with its own economics.
Text watermarks such as Google's SynthID leave no visible mark. They nudge a language model's word choices so a statistical pattern emerges that only a key holder can detect.
A plain-language guide to the four building blocks of enterprise AI, using the human body as a model: the LLM as brain, RAG as library, agents as hands and MCP as the nervous system.
Microsoft Research's Tools for Thought work argues that overreliance on AI answers can erode critical thinking, and that AI should prompt people to reason rather than replace it.
A neurosurgeon, a deskilling researcher and a technology writer weigh how to use AI without losing the hard won abilities that make experts trustworthy.
From ChatGPT and Canva to Notion AI, Zapier and Trello, these five tools target the unpaid work that eats a freelancer's week: proposals, admin, design and project tracking.
The debate between Yoshua Bengio and Yann LeCun on AI risk is now informed by real evaluations of jailbreaks, deceptive behavior and agents that act in the world.
A four week routine of 15 to 20 minutes a day turns ChatGPT's voice mode into a patient conversation partner for learners who know the rules but freeze when speaking.
With Claude Fable 5 back for subscribers under time-limited access, here are five long-horizon projects that make better use of the model than ordinary chat.
Behind every polished AI model sit data workers filtering traumatic content for low pay, and supply chains of energy, water and metals that the word cloud obscures.
An open-source economy of reusable skills and plugins is growing around Claude Code, Codex, Cursor and Copilot, turning general models into specialized workers.
In 'From AGI to ASI,' 14 Google DeepMind researchers including Shane Legg examine how human-level AI could become superintelligent and what might stop it.
The debate over superintelligent AI is often framed as survival versus annihilation. The harder question is whether humans would keep meaningful control at all.
Princeton's Arvind Narayanan argues AI will spread slowly like electricity or the internet, while Geoffrey Hinton warns of systems smarter than us. The evidence so far supports a middle path.
Anthropic's Claude Cowork desktop agent does far more than chat. These 12 practices, from folder-based projects to skills and connectors, help get more out of it.
A photo of a textbook page apparently containing leftover chatbot text spread widely in May 2026, yet nobody could name the book, and many suspected the image itself was AI-made.
Anthropic's connectors let Claude read and act on data in Google Drive, Slack, Gmail, Asana, HubSpot and other services; here is what they do and what to watch for.
In her book Prophecy, Oxford philosopher Carissa Véliz contends that AI systems forecast plausible answers rather than know facts, and that trusting them too much erodes autonomy.