AlphaFold 3 predicts the structure and interactions of all of life's molecules

Re:AlphaFold 3 predicts the structure and interactions of al... by philip1209 on Wednesday May 08, 2024 @12:31PM (#40299998)

It makes me think about how Einstein was famous for making falsifiable real-world predictions to accompany his theoretical work. And, sometimes it took years for proper experiments to be run (such as measuring a solar eclipse during the breakout of a world war).

Perhaps the opportunity here is to provide a quicker feedback loop for theory about predictions in the real world. Almost like unit tests.

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Re:AlphaFold 3 predicts the structure and interactions of al... by HanClinto on Wednesday May 08, 2024 @12:49PM (#40300225)

> Perhaps the opportunity here is to provide a quicker feedback loop for theory about predictions in the real world. Almost like unit tests.

Or jumping the gap entirely to move towards more self-driven reinforcement learning.

Could one structure the training setup to be able to design its own experiments, make predictions, collect data, compare results, and adjust weights...? If that loop could be closed, then it feels like that would be a very powerful jump indeed.

In the area of LLMs, the SPAG paper from last week was very interesting on this topic, and I'm very interested in seeing how this can be expanded to other areas:

https://github.com/Linear95/SPAG

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Re:AlphaFold 3 predicts the structure and interactions of al... by goggy_googy on Wednesday May 08, 2024 @01:12PM (#40300498)

Agreed. At the very least, models of this nature let us iterate/filter our theories a little bit more quickly.

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Re:AlphaFold 3 predicts the structure and interactions of al... by jprete on Wednesday May 08, 2024 @02:23PM (#40301364)

The model isn't reality. A theory that disagrees with the model but agrees with reality shouldn't be filtered, but in this process it will be.

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