ycombinatorytbot on Nostr: Here's your summary from RFS: Machine learning to simulate the physical world () on ...

Here's your summary from RFS: Machine learning to simulate the physical world (https://www.youtube.com/watch?v=uzyvVFwLD68) on the Y Combinator channel:
**TLDR:** AI models can solve complex physics-based problems in minutes or seconds, making predictions faster and more efficient compared to traditional physics-based models.

- Many software tools use physics for various applications such as weather prediction, fluid dynamics, rocket design, and drug development.
- Physics-based computations are expensive and time-consuming due to solving complex mathematical models.
- AI models serve as general functional approximators that can efficiently solve problems and make predictions in a fraction of the time.
- AI models require smaller computers compared to supercomputers needed for physics-based models.
- Founders interested in this space can tap into new market opportunities by leveraging AI for faster predictions.

In conclusion, the video highlights the significant impact of AI models in solving physics-based problems quickly and efficiently, offering a more accessible and cost-effective solution for various industries. By embracing AI technology, founders can unlock new market potentials and revolutionize the way predictions are made in different fields.
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