Sipper is essentially rebranding traditional computational physics as "AI" to stay relevant in the current hype cycle. It’s a visionary-sounding pitch that states the obvious while ignoring the fundamental data gaps that make physical modeling so difficult.
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Cinnamon Sipper On Why The Next Frontier Of AI Is Understanding The Physical WorldAjouté :
Why is physics the right focus for the next leap in machine intelligence? What does today's frontier AI miss uh without it? Well, taking a step back, today's AI models that we commonly use are trained on text and language. And AI trained on text data can't build the physical world. So, the problem that we're focused on solving is, well, how do you accurately predict things like how heat transfers, how fluid flows, how structures break? And the reason that's important is that's what codifies physics, right? Some of the most challenging problems that humanity has to face, you know, protein folding, turbulence modeling, energy, will require AI models to understand and accurately model physical behaviors. And so, we believe it's an important piece to start from uh in order to unlock a lot of the most challenging problems that we're facing as a society.
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