Satya Nadella, CEO of Microsoft, discusses model pre-training data quality and the limitations of publicly benchmarked open-weight models during Microsoft Build.
Prediction Not checkable as stated
Nadella: Public AI evals are maxed out; every company will use private evals
“Most importantly, you'll have private evals, because we know all the evals out there are good, interesting, but they're not really that critical. At this point, because they're all can be maxed. And so the point is each company will have its own private eval.”
Insight
Nadella: Managing multi-agent coding requires completely rebuilding IDE interfaces beyond chat
“Coding has worked so well that we now have to rebuild the IDE, right? I mean, it's kind of nuts to see what we launched is like, oh my God, I have these hundred agent sessions. I, the cognitive load, it transfers back to me as a human is so excessive that now …”
Prediction Not checkable as stated
Nadella: In six months users will routinely have AI autopilots working overnight
“I'm positive that six months from now, we'll all be saying, oh, wow, like all through night, the night, there was a bunch of stuff that all these autopilots that I have working on my behalf with my delegated authority, so to speak, right? I can sort of given e…”
Insight
Nadella says private evals and execution traces are a company's biggest IP
“So that's why I would say every company having private evals may be the biggest IP, right? I think about it like what's that private eval that you can then use even a frontier model to hill climb on and not leak the traces. Maybe one of the biggest drivers of …”
Prediction Not checkable as stated
Nadella predicts AI agent knowledge traces will become corporate balance sheet assets
“Which is when a company says it should in fact go onto the balance sheet is how I think about it, right? That's so, in fact, there may be like human capital was never possible to go put on a balance sheet because you didn't know how to capture the tacit knowle…”
Insight
Nadella: SaaS companies must unbundle data and logic to find new models
“So I think the challenge of the SAS business model is we packaged one way. We now have to learn how to unbundle these things and rebundle in new ways and discover new business models, right?”