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In many domains, scientific research is physical. Are they going to deprecate labs and sort of scale that out into a pure compute problem?

They are occupying a term in their headline messaging that is much broader than they can actually cover.

A common pattern these days. Overclaim, attract attention, iterate.

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You can create a research twin that can predict but as you say, it only works once you have a lot of data. Both the data relevant to the experiment it came from (which is rarely published) and the complete failure data (which is almost never published in any form).

Predictions are only one part of research. It's what theorists feed experimentalists with. Confirmation of predictions is by and large a very physical endeavour. Labs are not going away.

I do feel that it's exciting to see what AI will be able to do to help research and discover new things.

My gripe is with their messaging. Because a lot of people will misinterpret that, including politicians, possibly to the detriment of good science.

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