A way to run AI research with standard steps, automation, and large shared resources.
AI research used to be one tired scientist and cold pizza. Now it runs like a factory line for experiments.
Big teams can test and improve models faster. Money, computing power, and teamwork matter more.
AI-assisted Research
It turns separate research helpers into repeatable workflows at scale.
AI for Science
Both use automation and computing power to speed up tests and discovery.
AI-native organization
It changes team roles around data, platforms, and shared steps.