Popular topics
Artificial intelligence in practice — what it changes, who it concentrates power for, and how it lands in the businesses and policies of the technology economy.
919 articles · Artificial Intelligence (AI)
We are writers and editors, not clinicians, psychologists, or therapists.
Every time you type a question into a chatbot, the reply feels weightless.
As MIT Technology Review put it, "generating an image using a powerful AI model takes as much energy as fully charging your smartphone." That figure came from a single study and describes one particularly heavy model, not image generation in general but a striking comparison is it.
In one example from Shenzhen, a former product manager laid off from a major platform company is now running what she calls a business of one, using generative AI to write ad copy, design storefronts, and produce short-form video dramas from a repurposed industrial park where the rent is subsidised by the local government.
The number that emerged from a leaked negotiation this month was $320. That is what each American household would receive, in equity, if Sam Altman's proposal to hand the US government a 5% stake in OpenAI were distributed evenly across American families.
Where the internet physically lives is being redrawn, and what's pulling it isn't engineers — it's electricity.
We tend to treat being good at AI as a technical skill, something to do with clever prompts, the right settings and a stock of secret phrases.
I started using AI as an external memory.
Every so often you get to a point where the same three or four questions have been circling for months and none of them are getting answered.
Uber spent its entire 2026 budget for AI coding tools in four months.
The assumption almost everyone carries about a new tool: it pours rocket fuel on whoever is already at the front.
Microsoft, OpenAI, Anthropic, and Google are reportedly selling software that introduces itself by name, holds a Slack handle, and shows up on org charts.
