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"Not everyone thinks physics is fun, but I do." Throwback to 2018 when physics laureate Donna Strickland started her banquet speech by talking about Cyndi Lauper's song 'Girls Just Want To Have Fun'. She shares the 2018 Nobel Prize in Physics with Arthur Ashkin and Gérard Mourou “for their...

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The Nobel Prize

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15,537 просмотров • 1 месяц назад •via X (Twitter)

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Did you know that laser corrective eye surgery was initially performed by accident? Gérard Mourou was awarded the 2018 physics prize for the groundbreaking method of producing high-intensity, ultra-short optical pulses. Learn more here:
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Did you know that laser corrective eye surgery was initially performed by accident? Gérard Mourou was awarded the 2018 physics prize for the groundbreaking method of producing high-intensity, ultra-short optical pulses. Learn more here:
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Anne L'Huillier is on a mission to inspire young women to consider careers in science. At Nobel Minds 2023, she explained how a career in academia offers her the flexibility that can be so valuable for mothers with small children. She and her husband, Claes-Göran Wahlström, are both physicists and have raised their two sons in Sweden. L'Huillier was awarded the 2023 Nobel Prize in Physics jointly with Pierre Agostini and Ferenc Krausz for experimental methods that generate attosecond pulses of light for the study of electron dynamics in matter. Watch Nobel Minds:
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Anne L'Huillier is on a mission to inspire young women to consider careers in science. At Nobel Minds 2023, she explained how a career in academia offers her the flexibility that can be so valuable for mothers with small children. She and her husband, Claes-Göran Wahlström, are both physicists and have raised their two sons in Sweden. L'Huillier was awarded the 2023 Nobel Prize in Physics jointly with Pierre Agostini and Ferenc Krausz for experimental methods that generate attosecond pulses of light for the study of electron dynamics in matter. Watch Nobel Minds:

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“I had completely forgotten that October was Nobel Prize month!” Physics laureate Michel Devoret had a hard time believing it was true when he learned about his Nobel Prize. “Just to be sure, I called my daughter who is living in Paris, nine hours ahead of me. She was able to see that this is for real,” he tells us. In this interview, Devoret reflects on the excitement of seeing the fruits of research. He also talks about his co-laureate John Clarke, one of his role models.
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“I had completely forgotten that October was Nobel Prize month!” Physics laureate Michel Devoret had a hard time believing it was true when he learned about his Nobel Prize. “Just to be sure, I called my daughter who is living in Paris, nine hours ahead of me. She was able to see that this is for real,” he tells us. In this interview, Devoret reflects on the excitement of seeing the fruits of research. He also talks about his co-laureate John Clarke, one of his role models.

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“My wife is very kind to me, so she didn’t wake me up for a couple of hours.” John Martinis was sleeping when news of his Nobel Prize in Physics broke earlier this week. His wife Jean, up reading late into the night received the calls, but let him sleep on. Meet our new physics laureate in a conversation where he talks about the excitement of investigating problems with fellow laureates John Clarke and Michel Devoret four decades ago and how that experience taught him what to aim for when building labs in both academic and industry. Listen now:
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“My wife is very kind to me, so she didn’t wake me up for a couple of hours.” John Martinis was sleeping when news of his Nobel Prize in Physics broke earlier this week. His wife Jean, up reading late into the night received the calls, but let him sleep on. Meet our new physics laureate in a conversation where he talks about the excitement of investigating problems with fellow laureates John Clarke and Michel Devoret four decades ago and how that experience taught him what to aim for when building labs in both academic and industry. Listen now:

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Elon Musk: I strongly recommend studying physics as a grounding to understand reality. “I studied physics, and I certainly strongly recommend physics as a good grounding to understand the nature of reality. Physics is fundamentally just understanding how the universe actually works. That's a good foundation for a variety of engineering disciplines. The analytical constructs used in physics [like first-principles thinking] apply to basically anything. Most people tend to think by analogy or by comparison with something that already exists. This is a mental shortcut that requires less brain strain, but it's hard to get fundamental insights unless you think about things from a first-principles standpoint.” Axel Springer Award, December 1, 2020
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Elon Musk: I strongly recommend studying physics as a grounding to understand reality. “I studied physics, and I certainly strongly recommend physics as a good grounding to understand the nature of reality. Physics is fundamentally just understanding how the universe actually works. That's a good foundation for a variety of engineering disciplines. The analytical constructs used in physics [like first-principles thinking] apply to basically anything. Most people tend to think by analogy or by comparison with something that already exists. This is a mental shortcut that requires less brain strain, but it's hard to get fundamental insights unless you think about things from a first-principles standpoint.” Axel Springer Award, December 1, 2020

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"I think we, everyone of us, can always do more and do better." During his Nobel Prize lecture, this year's chemistry laureate Omar Yaghi spoke about one of his role models, Marie Skłodowska Curie. Yaghi has a portrait of Curie at his office to inspire and encourage his lab colleagues. Marie Skłodowska Curie was awarded two Nobel Prizes in two scientific categories, physics 1903 and chemistry 1911. She is still the only individual to receive two prizes in two different scientific categories. Watch the rest of Omar Yaghi's lecture that was delivered today:
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"I think we, everyone of us, can always do more and do better." During his Nobel Prize lecture, this year's chemistry laureate Omar Yaghi spoke about one of his role models, Marie Skłodowska Curie. Yaghi has a portrait of Curie at his office to inspire and encourage his lab colleagues. Marie Skłodowska Curie was awarded two Nobel Prizes in two scientific categories, physics 1903 and chemistry 1911. She is still the only individual to receive two prizes in two different scientific categories. Watch the rest of Omar Yaghi's lecture that was delivered today:

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How can we determine the age of an ancient artefact? ⁣ The answer lies in carbon-14 dating, a method developed by 1960 Nobel Prize laureate in physics Willard Libby.⁣ All living organisms continually renew their carbon-14 reserves, and when they die, the carbon-14 begins to decline at steady pace. ⁣ ⁣ Libby realised it was possible to determine the time of death by measuring these reserves in remains up to roughly 50,000 years old. His discovery revolutionised archaeology. ⁣ Carbon-14 dating is still used for revealing details about ancient ecosystems and helping improve our understanding of how human activity is affecting the planet.⁣ ⁣ This content was created as a co-production between Nobel Prize Outreach and the BBC.⁣
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How can we determine the age of an ancient artefact? ⁣ The answer lies in carbon-14 dating, a method developed by 1960 Nobel Prize laureate in physics Willard Libby.⁣ All living organisms continually renew their carbon-14 reserves, and when they die, the carbon-14 begins to decline at steady pace. ⁣ ⁣ Libby realised it was possible to determine the time of death by measuring these reserves in remains up to roughly 50,000 years old. His discovery revolutionised archaeology. ⁣ Carbon-14 dating is still used for revealing details about ancient ecosystems and helping improve our understanding of how human activity is affecting the planet.⁣ ⁣ This content was created as a co-production between Nobel Prize Outreach and the BBC.⁣

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"As a woman in science I especially want to acknowledge those role models who gave me the courage and incentive to persevere; my hope is that I in turn can be that role model for my own daughters, who are just now launching out into the world, as well as for other young women who are excited about science." During her Nobel Prize banquet speech, medicine laureate Mary Brunkow took time to acknowledge the importance of role models. Read the full speech:
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Elon Musk: To really be intelligent, AI has to make predictions that are in line with reality. “It's incredibly important for an AI model to be grounded in reality. I have a saying, which is physics is the law and everything else is a recommendation. I'm not suggesting people break the laws made by humans, we should generally obey the laws of humans. But I've seen many people break human made laws, but I have not seen anyone break the laws of physics. So, for any given AI, grounding it against reality and reality, for example, as you mentioned with the car, it needs to drive safely and correctly. The humanoid robot Optimus needs to perform the task that it's being asked to perform. These are things that are very helpful for ensuring that the model is truthful and accurate because it has to adhere to the laws of physics. So I think that's actually maybe somewhat overlooked or at least not talked about enough is that to really be intelligent it's got to make predictions that are in line with reality. In other words, physics.” Conversation with Satya Nadella, May 19, 2025
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Elon Musk: To really be intelligent, AI has to make predictions that are in line with reality. “It's incredibly important for an AI model to be grounded in reality. I have a saying, which is physics is the law and everything else is a recommendation. I'm not suggesting people break the laws made by humans, we should generally obey the laws of humans. But I've seen many people break human made laws, but I have not seen anyone break the laws of physics. So, for any given AI, grounding it against reality and reality, for example, as you mentioned with the car, it needs to drive safely and correctly. The humanoid robot Optimus needs to perform the task that it's being asked to perform. These are things that are very helpful for ensuring that the model is truthful and accurate because it has to adhere to the laws of physics. So I think that's actually maybe somewhat overlooked or at least not talked about enough is that to really be intelligent it's got to make predictions that are in line with reality. In other words, physics.” Conversation with Satya Nadella, May 19, 2025

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Elon Musk: To really be intelligent, AI has to make predictions that are in line with reality. “It's incredibly important for an AI model to be grounded in reality. I have a saying, which is physics is the law and everything else is a recommendation. I'm not suggesting people break the laws made by humans, we should generally obey the laws of humans. But I've seen many people break human made laws, but I have not seen anyone break the laws of physics. So, for any given AI, grounding it against reality and reality, for example, as you mentioned with the car, it needs to drive safely and correctly. The humanoid robot Optimus needs to perform the task that it's being asked to perform. These are things that are very helpful for ensuring that the model is truthful and accurate because it has to adhere to the laws of physics. So I think that's actually maybe somewhat overlooked or at least not talked about enough is that to really be intelligent it's got to make predictions that are in line with reality. In other words, physics.” Conversation with Satya Nadella, May 19, 2025
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Elon Musk: To really be intelligent, AI has to make predictions that are in line with reality. “It's incredibly important for an AI model to be grounded in reality. I have a saying, which is physics is the law and everything else is a recommendation. I'm not suggesting people break the laws made by humans, we should generally obey the laws of humans. But I've seen many people break human made laws, but I have not seen anyone break the laws of physics. So, for any given AI, grounding it against reality and reality, for example, as you mentioned with the car, it needs to drive safely and correctly. The humanoid robot Optimus needs to perform the task that it's being asked to perform. These are things that are very helpful for ensuring that the model is truthful and accurate because it has to adhere to the laws of physics. So I think that's actually maybe somewhat overlooked or at least not talked about enough is that to really be intelligent it's got to make predictions that are in line with reality. In other words, physics.” Conversation with Satya Nadella, May 19, 2025

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Elon Musk: To be truly intelligent, AI models must be able to predict the future in accordance with physics. “It's incredibly important for an AI model to be grounded in reality. I have a saying, physics is the law and everything else is a recommendation. I've seen many people break human-made laws, but I have not seen anyone break the laws of physics. So we should ground any given AI against reality. In reality, for example, the car needs to drive safely and correctly, the humanoid robot Optimus needs to perform the task that it's being asked to perform. These are things that are very helpful for ensuring that the model is truthful and accurate because it has to adhere to the laws of physics. What's maybe somewhat overlooked or at least not talked about enough, is that to really be intelligent, it's got to make predictions that are in line with reality, in other words, physics. It's a really fundamental thing and being able to ground that with cars and robots is very important.” From: Interview with Satya Nadella, May 19, 2025
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Elon Musk: To be truly intelligent, AI models must be able to predict the future in accordance with physics. “It's incredibly important for an AI model to be grounded in reality. I have a saying, physics is the law and everything else is a recommendation. I've seen many people break human-made laws, but I have not seen anyone break the laws of physics. So we should ground any given AI against reality. In reality, for example, the car needs to drive safely and correctly, the humanoid robot Optimus needs to perform the task that it's being asked to perform. These are things that are very helpful for ensuring that the model is truthful and accurate because it has to adhere to the laws of physics. What's maybe somewhat overlooked or at least not talked about enough, is that to really be intelligent, it's got to make predictions that are in line with reality, in other words, physics. It's a really fundamental thing and being able to ground that with cars and robots is very important.” From: Interview with Satya Nadella, May 19, 2025

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Elon Musk: Grok 3.5 uses the tools of physics to get to the truth with minimal error. “Grok, especially Grok 3.5, is trying to reason from first principles, so apply the tools of physics to thinking. If you're trying to get to fundamental truths, you boil things down to the axiomatic elements that are most likely to be correct, and then you reason up from there, and you can test your conclusions against those axiomatic elements. In physics, if you violate conservation of energy or momentum, then you're either going to get a Nobel Prize or you're wrong. And you're almost certainly wrong. That's really the focus of Grok 3.5: finding the fundamentals of physics and applying physics tools across all lines of reasoning and to aspire to truth with minimal error. There's always going to be some mistakes that are made, but we aim to get to the truth with acknowledged error, but minimize that error over time. And I think that's actually extremely important for AI safety. I've thought a lot for a long time about AI safety, and my ultimate conclusion is the old maxim that honesty is the best policy. It really is for safety.” Conversation with Satya Nadella, May 19, 2025
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Elon Musk: Grok 3.5 uses the tools of physics to get to the truth with minimal error. “Grok, especially Grok 3.5, is trying to reason from first principles, so apply the tools of physics to thinking. If you're trying to get to fundamental truths, you boil things down to the axiomatic elements that are most likely to be correct, and then you reason up from there, and you can test your conclusions against those axiomatic elements. In physics, if you violate conservation of energy or momentum, then you're either going to get a Nobel Prize or you're wrong. And you're almost certainly wrong. That's really the focus of Grok 3.5: finding the fundamentals of physics and applying physics tools across all lines of reasoning and to aspire to truth with minimal error. There's always going to be some mistakes that are made, but we aim to get to the truth with acknowledged error, but minimize that error over time. And I think that's actually extremely important for AI safety. I've thought a lot for a long time about AI safety, and my ultimate conclusion is the old maxim that honesty is the best policy. It really is for safety.” Conversation with Satya Nadella, May 19, 2025

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ELON: "PHYSICS IS THE LAW, IT IS THE ONLY UNBREAKABLE GUARDRAIL FOR AI" Elon is drawing a hard line between the bending the rules of society and the absolute constraints of the universe. In a world where AI can "hallucinate" fiction as fact, Elon says that the ultimate test for any intelligent system is its ability to ground its predictions in physical reality. Physics isn't just a subject, it is the only "law" that cannot be dodged, making it the essential foundation for ensuring AI remains truthful and functional: “It's incredibly important for an AI model to be grounded in reality. I have a saying, which is physics is the law and everything else is a recommendation. I'm not suggesting people break the laws made by humans... but I've seen many people break human-made laws, but I have not seen anyone break the laws of physics.” Source: ELON CLIPS Elon Musk
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ELON: "PHYSICS IS THE LAW, IT IS THE ONLY UNBREAKABLE GUARDRAIL FOR AI" Elon is drawing a hard line between the bending the rules of society and the absolute constraints of the universe. In a world where AI can "hallucinate" fiction as fact, Elon says that the ultimate test for any intelligent system is its ability to ground its predictions in physical reality. Physics isn't just a subject, it is the only "law" that cannot be dodged, making it the essential foundation for ensuring AI remains truthful and functional: “It's incredibly important for an AI model to be grounded in reality. I have a saying, which is physics is the law and everything else is a recommendation. I'm not suggesting people break the laws made by humans... but I've seen many people break human-made laws, but I have not seen anyone break the laws of physics.” Source: ELON CLIPS Elon Musk

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“It's our story and no one knows it better than us.” By telling her story, peace laureate Nadia Murad, exposes the reality of war that no one wants to talk about – the sexual violence and of women and girls as a weapon of war. Because of the stigma around the subject of rape, these stories have lived in the shadows. But Murad reports that women are courageously coming forward now, breaking through the shame, and sharing their stories in their own words. Nadia Murad was awarded the 2018 Nobel Peace Prize her efforts to end the use of sexual violence as a weapon of war and armed conflict, which she continues to do today.
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“It's our story and no one knows it better than us.” By telling her story, peace laureate Nadia Murad, exposes the reality of war that no one wants to talk about – the sexual violence and of women and girls as a weapon of war. Because of the stigma around the subject of rape, these stories have lived in the shadows. But Murad reports that women are courageously coming forward now, breaking through the shame, and sharing their stories in their own words. Nadia Murad was awarded the 2018 Nobel Peace Prize her efforts to end the use of sexual violence as a weapon of war and armed conflict, which she continues to do today.

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With evolution in our hands – what will we create? At the Nobel Prize banquet, chemistry laureate Frances Arnold speaks about creating and using molecules for the common good: "With evolution in our hands, with the ability to set genetic diversity and tailor the forces of selection, we can now explore paths that nature has left unexplored. We can also explore paths that nature will never explore. We can select life and their chemistries to our benefit, to create new sources of energy, to fix the carbon in our atmosphere, to cure disease, to make us younger, more beautiful. Or we can make new weapons of terror or state control. Which shall it be?" She was awarded the Nobel Prize in Chemistry in 2018 for the directed evolution of enzymes, together with George Smith and Gregory Winter. Learn more about her:
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With evolution in our hands – what will we create? At the Nobel Prize banquet, chemistry laureate Frances Arnold speaks about creating and using molecules for the common good: "With evolution in our hands, with the ability to set genetic diversity and tailor the forces of selection, we can now explore paths that nature has left unexplored. We can also explore paths that nature will never explore. We can select life and their chemistries to our benefit, to create new sources of energy, to fix the carbon in our atmosphere, to cure disease, to make us younger, more beautiful. Or we can make new weapons of terror or state control. Which shall it be?" She was awarded the Nobel Prize in Chemistry in 2018 for the directed evolution of enzymes, together with George Smith and Gregory Winter. Learn more about her:

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21,192 просмотров • 7 месяцев назад

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Here's my conversation with Don Lincoln about some of the biggest open questions in physics, including dark energy, dark matter, the matter-antimatter imbalance, quantum vacuum, quantum foam, and the quest to unify the laws of physics. Don is a particle physicist at Fermilab who has spent decades working at the frontiers of high energy physics. He is also a great teacher & writer. I highly recommend his courses & books. One of my favorite lecture series he has given is The Evidence for Modern Physics where he breaks down the experiments that validate some of the weird laws of physics we have, and what it would take to validate even the weirder ones. It's not enough to come up with a beautiful theory. You also have to show through experiment that the theory is likely to be correct. This process often doesn't get the love it deserves, even though it's often the most important and difficult part of the scientific process. I ❤️ physics. The conversation is here on X in full and is up everywhere else (see comment). Timestamps: 0:00 - Introduction 0:49 - Unifying the laws of nature 15:20 - General relativity 32:27 - Electroweak force 44:09 - How particle colliders work 1:02:12 - Higgs boson discovery 1:12:32 - Theory of everything 1:42:17 - Physics of empty space 1:49:41 - Antimatter 2:10:31 - Dark energy 2:14:20 - Dark matter 2:42:56 - Future of physics

Lex Fridman

248,827 просмотров • 1 месяц назад