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Satya Nadella says that when Microsoft put a billion dollars into OpenAI in 2019, everybody thought the money was being burned: "Who would have thought in 2019 that there is a smart idea to go put a billion dollars?" "Everybody thought we were just burning a billion dollars." "It... show more
26,966 görüntüleme • 1 ay önce •via X (Twitter)
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Since you are talking on natural language break through. Reinforcement learning at huge cost, top down engineering is more complicated and wastage. Word chemistry infinite to desired . Bottom up engineering leafs to deterministic parallel reasoning through semstics. Here, learning will be not be there, language machine making.

It’s so embarrassing to see , how tech leaders have become like their contemporaries in FIN . How about telling complete truth ;” MSFT did invent a billion , however with a condition of 1 Billion commit to azure ” . Thats called as, easiest way to buy Revenue using cash flow .

Every time I've pivoted, investors assumed something was wrong. Microsoft saw a team finding the right problem and backed it with a billion.

Fascinating that Microsoft's patience on natural language goes back to early MS Research. When OpenAI pivoted from RL to language and scaling laws, it was the signal they'd been waiting for. Bold bets look like burning money until they don't!

We blew $3k on cold email infra. Felt dumb until reply rates hit 23%. What was their early signal?

This is a great reminder that conviction often looks irrational before it looks obvious. The best investors aren't just betting on companies. They're betting on long-term technological shifts before the market fully appreciates them. In hindsight, the $1B looks brilliant. In 2019, it looked uncomfortable. That's usually where outsized returns come from.

This is such a good example of why big bets look obvious only in hindsight. The real edge wasn’t just having $1B to invest. Microsoft had spent years thinking about natural language, so when OpenAI’s work started lining up with that thesis, they knew what they were looking at. A lot of “luck” is really preparation meeting the right inflection point.

@satyanadella proved how the billion dollar @OpenAI bet was built on recognition of a pivot rather than conviction showing how OpenAI moved off reinforcement learning onto natural language and scaling laws
