❗️Satya Nadella wants you to stop saying AI "slop" in 2026
Nadella argues AI is moving from early discovery into broad diffusion, where people can tell “spectacle” from “substance”.
He frames the main problem as “model overhang,” where model capability is racing ahead of what teams can safely and reliably use in the real world.
Says the next gains come less from bigger models and more from building systems around models, like tool use, permissions, memory, monitoring, and tight feedback loops.
In that systems view, “eval impact” matters because it is the measurement layer that checks if an
Nadella argues AI is moving from early discovery into broad diffusion, where people can tell “spectacle” from “substance”.
He frames the main problem as “model overhang,” where model capability is racing ahead of what teams can safely and reliably use in the real world.
Says the next gains come less from bigger models and more from building systems around models, like tool use, permissions, memory, monitoring, and tight feedback loops.
In that systems view, “eval impact” matters because it is the measurement layer that checks if an
