10,000 Einsteins: AI and the Future of Theoretical Physics with Matthew Schwartz
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- เผยแพร่เมื่อ 6 ก.พ. 2025
- In this captivating public lecture, Matthew Schwartz examines how the integration of AI could amplify human intellect to unprecedented levels, transforming the landscape of scientific discovery. Schwartz, a distinguished physicist and educator, will discuss how AI can act as a catalyst, augmenting the capabilities of researchers to mirror the brilliance of thousands of Einsteins. The lecture will delve into the potential of AI to solve complex problems in theoretical physics, from unraveling the mysteries of quantum mechanics to advancing our understanding of cosmology and the fundamental forces of nature. Highlighting recent advancements and practical applications, Schwartz will illustrate how AI-driven research can lead to breakthroughs that were once thought impossible. Attendees will gain a profound understanding of how AI is poised to redefine the future of theoretical physics and drive innovation across disciplines. Join Matthew Schwartz for an enlightening exploration of how we can harness the synergy of AI and human intellect to unlock new frontiers in science. [This abstract was enhanced with AI.]
Dr. Matthew D. Schwartz is a Professor of Physics at Harvard University and a leader of the NSF AI Institute for Artificial Intelligence and Fundamental Interactions in Boston. Prof. Schwartz is a theoretical physicist and has made seminal contributions to particle physics and machine learning. His best-selling textbook Quantum Field Theory and the Standard Model is used in classrooms worldwide. Schwartz anticipates a future where machines and humans will work in harmony towards the next breakthroughs in our fundamental understanding of the universe.
This Heinz R. Pagels Memorial Lecture was orignally recorded at the Aspen Center for Physics on August 28, 2024.
Fantastic channel, much appreciated!
Great speaker and subject. It deals with the absolute future. And it is a bet scary. Was there in person and asked the first question.
Amazing and Unbelievable, Great talk ❤
Just what we need. 10,000 science fiction writers, just like Einstein and Hawking, doing science for us.
Great presentation! However, I had not as good experience with gpt4o when I asked for drawing. The result is correct but clogged even after a few iterations. gpt4o still needs a major improvement in drawing capabilities. And also in reasoning beyond physics 101. Waiting for the strawberry
Are the slides available somewhere
I'm sorry, we do not typically post the slides from public lectures. Thank you for your suggestion for future lectures, we will consider it!
It will become interesting when the compute is available that can take the experimental data and test it through other theoretical viewpoints than the standard model. "Newton and the apple tree, or whatever..." is exactly the point. Studying how the 'standard model' (which describes the universe minus dark matter, minus dark energy and gravity is the most succesful model of a slightly different universe at this point in time) came to be, gives the much needed insight of how serious one can actually take the consideration of the physical reality of this model. And I think it to be extremely unlikely. As of now, there is only circumstantial evidence of the existence of some signals that don't refute quarks. But how do neutrino's have mass they are not supposed to have, not through the higgs field I've gathered.
As Brian Greene commented on string theory, without evidence it is not much more than an advanced game of dungeons an dragons.
I think letting machine learning solutions decide more and more on alternatives on quantization, particles, quarks, and forces, as well as laws of energy (dark energy?) conservation etc. because at a certain point it's probability of failing to come up with a better theory than that become infinitesmal, or hypersmall.
These thoughts presented are logical and follow a definite progression. These would indicate that the AI has the ability to remember past interactions, and evaluate them for quality and applicability to future interactions. And learn to verify its own conclusions before presenting them. This self evaluative function would restrict hallucinations and false conclusions. But can it grow wise? And even if it does, say by laying out plans to reverse climate change, who will want to listen? Vested interests? Not a chance. A new verse for John Lennon. Imagine no militaries. It's pretty hard to do. Everything to kill and die for, unless your AI does it for you. Imagine the AI, controlling all the world. You, you, you may say I'm a dreamer, but I'm not the only one. I hope someday we can shut them down, and peace will have found its wondrous sun.
I wouldn't want to be the technish... but your slide is showing gravitons under matter is made up of column. That's a shocker, lol.
I found the talk to be enthralling but the guttural throat noises from the speaker were too distracting, thus I only got half way through
😂😂😂
Sorry, the human future has been cancelled. No warp drive for you!
The problem is that Einstein didn't come up with his theories by handling big data but by making thoughts experiments which crrently no AI is capable of.