Demis Hassabis: belief

Transcript context

…What was the biggest surprise to you during the development of Gemini in terms of something like this happening? I wouldn’t say there was one big surprise. It was very interesting trying to train things at that size and learning about all sorts of things from an organizational standpoint, like how to babysit such a system and to track it. There’s also things like getting a better understanding of the metrics you’re optimizing versus the final capabilities that you want. I would say that’s still not a perfectly understood mapping, but it’s an interesting one that we’re getting better and better at. There’s a perception that maybe other labs are more compute-efficient than DeepMind has been with Gemini. I don’t know what you make of that perception.…

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