Small Models, Big Ideas: The Case for Efficient AI
Why the smartest labs are shrinking their models instead of scaling them up.
Applied machine learning, research breakdowns and the industry shifts reshaping how software gets built — written by people who ship AI systems, not just talk about them.
Design teams that once prototyped in Figma are now prototyping in prompts. We spent three months embedded with five product teams to see what actually changed — and what didn't.
Read Full StoryWhy the smartest labs are shrinking their models instead of scaling them up.
Why leaderboard scores stopped meaning what they used to — and what researchers are doing instead.
A rare look at the physical infrastructure behind the software everyone talks about.
A legal and philosophical mess that courts are only just beginning to untangle.
We used six of them to ship the same feature. Only two were worth keeping.
Less model training, more data plumbing than anyone expected going in.