OpenAI’s Noam Brown says scaling skeptics are missing the point: "the really important takeaway from o1 is that that wall doesn’t actually exist, that we can actually push this a lot further. Because, now, we can scale up inference compute. And there’s so much room to scale up inference compute."
OpenAI’s Noam Brown says scaling skeptics are missing the point: "the really important takeaway from o1 is that that wall doesn’t actually exist, that we can actually push this a lot further. Because, now, we can scale up inference compute. And there’s so much room to scale up inference compute."

OpenAI’s Noam Brown says scaling skeptics are missing the point: "the really important takeaway from o1 is that that wall doesn’t actually exist, that we can actually push this a lot further. Because, now, we can scale up inference compute. And there’s so much room to scale up inference compute."

OpenAI's Noam Brown says scaling skeptics are missing the point: "the really important takeaway from o1 is that that wall doesn't actually exist, that we can actually push this a lot further. Because, now, we can scale up inference compute. And there's so much room to scale up inference compute." submitted by /u/MetaKnowing
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