causal claim
When models learn from deployment, a more widely deployed model receives more real-world data than a less widely deployed model.
Dwarkesh Patel · Dylan Patel – Anthropic & OpenAI will have most of the world’s compute by 2028 · 25 Aug 2026
In their words
The transcript segments this claim was taken from
“give more and more to the person who's like ahead in the AI race there may be more right so there's if models are learning from deployment and one model is like deployed much more widely than another one it's getting much more like real-world data”Play from 1:11:53Report a misattribution
90%how strongly it was put, not whether it is true
80%importance to the conversation
96%confidence the claim was read correctly