Loading video...

Video Failed to Load

There was a problem loading this video. This could be due to a temporary network issue or the video might be unavailable.

Say hello Datafam to Einstein Copilot for Tableau, your trusted AI assistant that helps you go from data to insights quicker than ever before. In this demo, we explore reported wildlife strikes on planes in the U.S., leveraging FAA data to identify patterns, assess financial costs, and even find... ways to reduce the impact on wildlife. Einstein Copilot makes exploring data seamless. For example, with just a click of the Einstein icon, you can ask AI-driven questions like "What is the trend of wildlife strikes over the years?" Immediately, Einstein filters and refines the data for you, revealing insightful trends such as a dip during COVID, followed by a record number of reports in recent years. Does that mean flying is more dangerous? Not quite. By adding another layer of analysis, like damage level, Einstein shows that while reports of strikes are increasing, almost all of them report no damage, which means flying remains as safe as ever. But Einstein goes beyond just trends and insights; it helps with complex calculations too. Need to calculate the total cost of these strikes adjusted for inflation? No problem. Einstein can handle the heavy lifting, combining the correct cost fields into one calculation, offering you a deeper understanding of the financial impact. In one standout example, Einstein highlights a $50 million spike in damage from 2009. Curious about the cause? With a simple prompt, Einstein quickly identifies that the outlier was the famous US Airways Flight 1549, known as the “Miracle on the Hudson,” when Captain Sully heroically landed in the Hudson River after a bird strike took out both engines. And just like that, Einstein Copilot for Tableau helps you transform data into actionable insights, empowering you to make smarter, faster decisions.show more

Marc Benioff

3,719,406 subscribers

56,410 views • 2 years ago •via X (Twitter)

Education Science & Technology

Anya Rossi• Live Now

Private livecam show

10 Comments

Tomer Rozenberg2 years ago

@salesforce @tableau Einstein Copilot is about to make data-driven decisions as smooth as a flight with no wildlife in sight!

Alexander Knoll2 years ago

@salesforce @tableau @Benioff Great potential! The biggest obstacle to fully utilize this innovation is that lots of companies still have problems with their actuall data quality to various degrees. I believe that will gain even more relevancy soon! Looking forward to what comes next!

Too Mutch Sauce2 years ago

@salesforce @tableau Marc, can you please buy the @SFGiants? Mahalos.

Yeswanth Reddy (యశ్వంత్ రెడ్డి)2 years ago

@salesforce @tableau #AI

調弦2 years ago

@salesforce @tableau “Miracle on the Hudson,” is unforgettable.

zen.brodha2 years ago

@salesforce @tableau This was edited or written by AI why else would you use ** on this platform, X doesn't support markdown.

Metaphor Man2 years ago

@salesforce @tableau @ninapande

Scarab2 years ago

@salesforce @tableau Do you have permission to use the Einstein name for your product/service ?

Al&2 years ago

@salesforce @tableau We tried this in our company ... Didn't find any useful tbh ... We prefer some features on Report Automation or any update on this !... I did build an inhouse feature for this , hope this can come out as a feature from SFDC !

Alex Kovalov2 years ago

@salesforce @tableau Crazy! Can’t wait to uncover hidden insights in advertising data 🤓

Related Videos

Today we announced the new Einstein Copilot Search and Salesforce Vector Database in Data Cloud to power semantic search and retrieval augmented generation. This will enhance Einstein Copilot's ability to understand, generate outputs, and automate actions across a wide variety of use cases, contexts, and data/content types. LLMs can't be relied on to recall specific data they were trained on, so the way to make them work in the enterprise, where accuracy is paramount, is to feed them with the right data using hybrid keyword and vector search-powered RAG. By bringing all this seamlessly into our apps and Einstein Copilot UX as well as Hyperforce cloud infrastructure, we can offer high performance, low latency, addressing data privacy, security, and residency requirements🌟

Today we announced the new Einstein Copilot Search and Salesforce Vector Database in Data Cloud to power semantic search and retrieval augmented generation. This will enhance Einstein Copilot's ability to understand, generate outputs, and automate actions across a wide variety of use cases, contexts, and data/content types. LLMs can't be relied on to recall specific data they were trained on, so the way to make them work in the enterprise, where accuracy is paramount, is to feed them with the right data using hybrid keyword and vector search-powered RAG. By bringing all this seamlessly into our apps and Einstein Copilot UX as well as Hyperforce cloud infrastructure, we can offer high performance, low latency, addressing data privacy, security, and residency requirements🌟

Clara Shih

49,634 views • 2 years ago

The Non-Traversable Bridge Einstein Found Inside Gravity Einstein’s equations not only describe gravity as a force but as the shape of Spacetime as well. In 1935, Einstein and Rosen found that the Schwarzschild solution could be written in a way that reveals something astonishing: Two separate exterior regions of Spacetime joined by a bridge-like throat Rᵤᵥ = 0 This became known as the Einstein-Rosen Bridge. It is often called a Wormhole, but the classical Einstein-Rosen bridge is not a science-fiction tunnel. In the standard Schwarzschild geometry, it is non-traversable. The throat does not remain open long enough for ordinary travel from one region to the other. Its real power is mathematical. It shows that General Relativity is not merely about objects moving through space. The theory allows Spacetime to have global structure such as different regions, horizons, extensions, and hidden connections that are not visible from one local patch alone. The Einstein-Rosen bridge is one of the earliest glimpses of that deeper idea. Gravity is geometry. And sometimes, geometry has two worlds joined by a throat. #Astrophysics #GeneralRelativity #Einstein #BlackHole #Spacetime #Cosmology #Gravity #Wormhole #Mathematics #Physics

The Non-Traversable Bridge Einstein Found Inside Gravity Einstein’s equations not only describe gravity as a force but as the shape of Spacetime as well. In 1935, Einstein and Rosen found that the Schwarzschild solution could be written in a way that reveals something astonishing: Two separate exterior regions of Spacetime joined by a bridge-like throat Rᵤᵥ = 0 This became known as the Einstein-Rosen Bridge. It is often called a Wormhole, but the classical Einstein-Rosen bridge is not a science-fiction tunnel. In the standard Schwarzschild geometry, it is non-traversable. The throat does not remain open long enough for ordinary travel from one region to the other. Its real power is mathematical. It shows that General Relativity is not merely about objects moving through space. The theory allows Spacetime to have global structure such as different regions, horizons, extensions, and hidden connections that are not visible from one local patch alone. The Einstein-Rosen bridge is one of the earliest glimpses of that deeper idea. Gravity is geometry. And sometimes, geometry has two worlds joined by a throat. #Astrophysics #GeneralRelativity #Einstein #BlackHole #Spacetime #Cosmology #Gravity #Wormhole #Mathematics #Physics

Mathelirium

91,291 views • 1 month ago

Former SpaceX Head of Talent : I think Elon is smarter than Einstein. "One way we explained the SpaceX culture, in order to be honest with people, was this: SpaceX is like special forces. We take on missions that others consider impossible. This will be the hardest thing you ever do in your life. It attracts the kind of personality that wants to be a Navy SEAL, but in engineering. It will be bruising, punishing, and uncomfortable every day. Growth is not comfortable. If you are comfortable, you are probably not growing. To work for Elon is to be comfortable living in a constant state of discomfort. He has 10,000 times more going through his brain than the average person at any given moment. Our ability to think about and analyze a problem is nothing compared to how his brain works. Elon aspires to be the greatest engineer in the history of the world. He has the cognitive horsepower of the geniuses who came before us. But he is not Einstein, is he? I think he is smarter than Einstein."

Former SpaceX Head of Talent : I think Elon is smarter than Einstein. "One way we explained the SpaceX culture, in order to be honest with people, was this: SpaceX is like special forces. We take on missions that others consider impossible. This will be the hardest thing you ever do in your life. It attracts the kind of personality that wants to be a Navy SEAL, but in engineering. It will be bruising, punishing, and uncomfortable every day. Growth is not comfortable. If you are comfortable, you are probably not growing. To work for Elon is to be comfortable living in a constant state of discomfort. He has 10,000 times more going through his brain than the average person at any given moment. Our ability to think about and analyze a problem is nothing compared to how his brain works. Elon aspires to be the greatest engineer in the history of the world. He has the cognitive horsepower of the geniuses who came before us. But he is not Einstein, is he? I think he is smarter than Einstein."

Doge Tipping

214,978 views • 1 month ago

Demis Hassabis, CEO of Google DeepMind and Nobel laureate, says the AGI definition the industry uses is too low a bar. His Einstein test: train a system on a 1901 knowledge cutoff and ask it to invent special relativity. "The human brain is the only existence proof we have that general intelligence is even possible." "That's a pretty high bar, and it means that it's probably higher bar than just being able to do some useful economic work." "The type of test I would have is like an Einstein test of, you know, let's train one of these systems with a 1901 knowledge cutoff. Can it invent special relativity like Einstein did in 1905?" "What you'd actually want is something a future version of AlphaGo to be able to invent Go, right? Invent a game as deep and as complex and elegant and as beautiful as Go, not just come up with a strategy within the game." "I don't think today's systems are yet capable of doing that, but I think they will be able to in the future." - Demis Hassabis (Demis Hassabis), CEO of Google DeepMind, on The Next Big Thing.

Demis Hassabis, CEO of Google DeepMind and Nobel laureate, says the AGI definition the industry uses is too low a bar. His Einstein test: train a system on a 1901 knowledge cutoff and ask it to invent special relativity. "The human brain is the only existence proof we have that general intelligence is even possible." "That's a pretty high bar, and it means that it's probably higher bar than just being able to do some useful economic work." "The type of test I would have is like an Einstein test of, you know, let's train one of these systems with a 1901 knowledge cutoff. Can it invent special relativity like Einstein did in 1905?" "What you'd actually want is something a future version of AlphaGo to be able to invent Go, right? Invent a game as deep and as complex and elegant and as beautiful as Go, not just come up with a strategy within the game." "I don't think today's systems are yet capable of doing that, but I think they will be able to in the future." - Demis Hassabis (Demis Hassabis), CEO of Google DeepMind, on The Next Big Thing.

Karl Mehta

72,911 views • 21 days ago

Demis Hassabis has a test for whether AI is actually creative. Give it only the data Einstein had in 1901 and see if it invents relativity. He thinks today's text models will never pass it. This is his bar for true creativity. Not extrapolating something already known. Generating a genuinely new hypothesis about reality that nobody has reached before. The thing Einstein did in 1905 with a handful of papers that rewrote physics. Hassabis wants to hand an AI the same starting data Einstein had and see if it gets there on its own. No peeking past the cutoff. Then he explained why he doubts text alone can do it. Einstein daydreamed his way to relativity. He was a patent clerk imagining what it would look like to ride alongside a beam of light. He ran the experiment in his head first, then proved it with math. Yann LeCun, who won the Turing Award and ran AI at Meta, says the same thing in blunter terms. He says today's models don't understand the physical world as well as a housecat, and that text alone is "complete BS" as a path to real intelligence. Two of the most decorated minds in AI agree the missing piece is the same. Hassabis thinks an AI needs to understand the world of atoms, not just the world of bits. Most of the industry is racing to scale text models. Hassabis just told them the most important kind of thinking might live somewhere text can't reach. --- Watch the full interview at Semafor on YouTube

Demis Hassabis has a test for whether AI is actually creative. Give it only the data Einstein had in 1901 and see if it invents relativity. He thinks today's text models will never pass it. This is his bar for true creativity. Not extrapolating something already known. Generating a genuinely new hypothesis about reality that nobody has reached before. The thing Einstein did in 1905 with a handful of papers that rewrote physics. Hassabis wants to hand an AI the same starting data Einstein had and see if it gets there on its own. No peeking past the cutoff. Then he explained why he doubts text alone can do it. Einstein daydreamed his way to relativity. He was a patent clerk imagining what it would look like to ride alongside a beam of light. He ran the experiment in his head first, then proved it with math. Yann LeCun, who won the Turing Award and ran AI at Meta, says the same thing in blunter terms. He says today's models don't understand the physical world as well as a housecat, and that text alone is "complete BS" as a path to real intelligence. Two of the most decorated minds in AI agree the missing piece is the same. Hassabis thinks an AI needs to understand the world of atoms, not just the world of bits. Most of the industry is racing to scale text models. Hassabis just told them the most important kind of thinking might live somewhere text can't reach. --- Watch the full interview at Semafor on YouTube

Ihtesham Ali

18,905 views • 1 month ago

SITUATION EXPLAINED: 70% of frontier model queries could run locally for free. clem 🤗, co-founder and CEO of Hugging Face: "There was an interesting study from Stanford published last year showing that 70% of the queries that people ask to ChatGPT could be accurately answered locally on your laptop. For free." "Most of the AI workloads that people do today with frontier models could be done by models that are cheaper, faster, more customizable, more controllable. And they don't do it because frankly it's a pain to pick the right model." "You're subsidized so you don't have to care because you have your subscription, so you route everything to Einstein. 'Hey Einstein, what's the weather today?'" "In normal life, he would be like, 'I'm not answering your silly question.' But because it's AI and subsidized by the AI labs, all the questions are getting routed to Einstein versus in an ideal world you have different models that are more specialized and better at answering your questions in different domains." "It's possible that routing is gonna redistribute a lot of the value capture from frontier models to a more long tail of models. It's like AI maturing... we are in the first phase where it's very simple, everyone using just one giant model. Now we're moving to the second phase."

SITUATION EXPLAINED: 70% of frontier model queries could run locally for free. clem 🤗, co-founder and CEO of Hugging Face: "There was an interesting study from Stanford published last year showing that 70% of the queries that people ask to ChatGPT could be accurately answered locally on your laptop. For free." "Most of the AI workloads that people do today with frontier models could be done by models that are cheaper, faster, more customizable, more controllable. And they don't do it because frankly it's a pain to pick the right model." "You're subsidized so you don't have to care because you have your subscription, so you route everything to Einstein. 'Hey Einstein, what's the weather today?'" "In normal life, he would be like, 'I'm not answering your silly question.' But because it's AI and subsidized by the AI labs, all the questions are getting routed to Einstein versus in an ideal world you have different models that are more specialized and better at answering your questions in different domains." "It's possible that routing is gonna redistribute a lot of the value capture from frontier models to a more long tail of models. It's like AI maturing... we are in the first phase where it's very simple, everyone using just one giant model. Now we're moving to the second phase."

MTS

49,884 views • 1 month ago

Today, we share news that is incredibly difficult for our Zoo Knoxville family. Our beloved Einstein — the world-famous African grey parrot — has passed away at the age of 38. For more than 30 years, Einstein was more than an animal ambassador. She was a friend, she was family, and had a personality unlike any other. With her unmistakable voice, she captured hearts not only here in Knoxville, but around the world. In 2023, our animal care team noticed a small change in her voice. Working closely with specialists at the University of Tennessee College of Veterinary Medicine, we identified a small mass on her syrinx. For nearly three years, it remained stable and did not affect her quality of life. In recent weeks, it progressed to the point where treatment was no longer an option. Throughout her final years — and especially her final days — our focus was simple: make sure she was happy, safe, comfortable, and surrounded by the people she knew and trusted. And she was. Einstein also carried an important mission. African grey parrots are classified as Endangered in the wild due to habitat loss and pressures from the illegal pet trade. Through her incredible ability to connect with people, she helped inspire greater awareness and care for parrots and wildlife everywhere. We are heartbroken. We are grateful. And we are immensely proud to have been her home for more than three decades. Thank you, Einstein, for the laughter, the lessons, and the legacy. 🧡

Today, we share news that is incredibly difficult for our Zoo Knoxville family. Our beloved Einstein — the world-famous African grey parrot — has passed away at the age of 38. For more than 30 years, Einstein was more than an animal ambassador. She was a friend, she was family, and had a personality unlike any other. With her unmistakable voice, she captured hearts not only here in Knoxville, but around the world. In 2023, our animal care team noticed a small change in her voice. Working closely with specialists at the University of Tennessee College of Veterinary Medicine, we identified a small mass on her syrinx. For nearly three years, it remained stable and did not affect her quality of life. In recent weeks, it progressed to the point where treatment was no longer an option. Throughout her final years — and especially her final days — our focus was simple: make sure she was happy, safe, comfortable, and surrounded by the people she knew and trusted. And she was. Einstein also carried an important mission. African grey parrots are classified as Endangered in the wild due to habitat loss and pressures from the illegal pet trade. Through her incredible ability to connect with people, she helped inspire greater awareness and care for parrots and wildlife everywhere. We are heartbroken. We are grateful. And we are immensely proud to have been her home for more than three decades. Thank you, Einstein, for the laughter, the lessons, and the legacy. 🧡

Zoo Knoxville

23,940 views • 6 months ago

Marc Andreessen says the movie Oppenheimer misunderstands history and morality. "The movie sets up both Oppenheimer and also specifically Albert Einstein as the key moral authorities of the era with respect to the use of nuclear weapons. Both claims of which I believe are deeply incorrect on substance." "My critique is the morality of the movie I think is very badly upside-down. And it's upside-down in a way that flatters our current politics but is very badly upside-down in terms of what actually happened at the time." Its redeeming feature is the first half: "[The first half of the movie is] one of the only recreations on film of what American elite culture and society and American research establishment of the leading experts at the time, in the 1920s and 30s, how thoroughly saturated that world was with Communism." However, the remainder of the movie frames Oppenheimer and Einstein as political heroes and vilifies technology, when in reality Oppenheimer was surrounded by Communists, Einstein was a critic of American democracy, and the hydrogen bomb Oppenheimer refused to build may have prevented World War III. (Marc recommends reading When Reason Goes on Holiday by Neven Sesardić to learn more about Einstein's political views.) "I thought the movie really cheated on the morality of it because it presented this as this slam dunk that the nuke was bad and that these people were bad and the whole thing was bad and that both Einstein and Oppenheimer were moral heroes in some extent trying to line up against this. And I just thought that really cheated the audience." Marc Andreessen 🇺🇸

Marc Andreessen says the movie Oppenheimer misunderstands history and morality. "The movie sets up both Oppenheimer and also specifically Albert Einstein as the key moral authorities of the era with respect to the use of nuclear weapons. Both claims of which I believe are deeply incorrect on substance." "My critique is the morality of the movie I think is very badly upside-down. And it's upside-down in a way that flatters our current politics but is very badly upside-down in terms of what actually happened at the time." Its redeeming feature is the first half: "[The first half of the movie is] one of the only recreations on film of what American elite culture and society and American research establishment of the leading experts at the time, in the 1920s and 30s, how thoroughly saturated that world was with Communism." However, the remainder of the movie frames Oppenheimer and Einstein as political heroes and vilifies technology, when in reality Oppenheimer was surrounded by Communists, Einstein was a critic of American democracy, and the hydrogen bomb Oppenheimer refused to build may have prevented World War III. (Marc recommends reading When Reason Goes on Holiday by Neven Sesardić to learn more about Einstein's political views.) "I thought the movie really cheated on the morality of it because it presented this as this slam dunk that the nuke was bad and that these people were bad and the whole thing was bad and that both Einstein and Oppenheimer were moral heroes in some extent trying to line up against this. And I just thought that really cheated the audience." Marc Andreessen 🇺🇸

a16z

328,615 views • 9 months ago

Former SpaceX employee: I think Elon is smarter than Einstein. “SpaceX is special forces. We take on the missions that others deem impossible. This will be the hardest thing you will ever do in your life. It is the kind of personality that wants to be a Navy SEAL, the engineering equivalent of that. It will be bruising and punishing and uncomfortable every day. Growth is rarely comfortable. If you are comfortable, you are probably not growing. To work for Elon is to be comfortable in a constant state of discomfort. He has 10,000 times more what the average person has streaming through their brain any given time. Our ability to think about and analyze a problem is nothing compared to how his brain works. Elon aspires to be the greatest engineer in the history of the world. He does have the cognitive horsepower of the geniuses that we have seen come before us. I think he is smarter than Einstein.” Dolly Singh in BBC's documentary The Elon Musk Show, 2022

Former SpaceX employee: I think Elon is smarter than Einstein. “SpaceX is special forces. We take on the missions that others deem impossible. This will be the hardest thing you will ever do in your life. It is the kind of personality that wants to be a Navy SEAL, the engineering equivalent of that. It will be bruising and punishing and uncomfortable every day. Growth is rarely comfortable. If you are comfortable, you are probably not growing. To work for Elon is to be comfortable in a constant state of discomfort. He has 10,000 times more what the average person has streaming through their brain any given time. Our ability to think about and analyze a problem is nothing compared to how his brain works. Elon aspires to be the greatest engineer in the history of the world. He does have the cognitive horsepower of the geniuses that we have seen come before us. I think he is smarter than Einstein.” Dolly Singh in BBC's documentary The Elon Musk Show, 2022

ELON CLIPS

263,561 views • 1 year ago

AI is transforming the way businesses operate 🤖. It helps companies work faster, cut costs, and make smarter decisions. From automating repetitive tasks to predicting trends and uncovering insights, AI is becoming the backbone of modern business. But AI can’t function without data 📊. Massive amounts of high-quality data are required to train models and make them effective. Right now, most of this data is controlled by a few centralized giants 🔒, making it expensive, siloed, and out of reach for smaller businesses and innovators. This is where OORT | The Data Cloud for Decentralized AI comes in 🌐✨. By combining decentralized storage with AI infrastructure powered by blockchain, OORT makes data open, secure, and accessible to everyone. It’s building a foundation where businesses of all sizes can tap into AI’s full potential and compete in the AI-driven economy 🚀

AI is transforming the way businesses operate 🤖. It helps companies work faster, cut costs, and make smarter decisions. From automating repetitive tasks to predicting trends and uncovering insights, AI is becoming the backbone of modern business. But AI can’t function without data 📊. Massive amounts of high-quality data are required to train models and make them effective. Right now, most of this data is controlled by a few centralized giants 🔒, making it expensive, siloed, and out of reach for smaller businesses and innovators. This is where OORT | The Data Cloud for Decentralized AI comes in 🌐✨. By combining decentralized storage with AI infrastructure powered by blockchain, OORT makes data open, secure, and accessible to everyone. It’s building a foundation where businesses of all sizes can tap into AI’s full potential and compete in the AI-driven economy 🚀

Sky Wee

58,239 views • 9 months ago

Alex on why AI + fully autonomous labs will compress drug discovery from five years to two: "If scientists are armed with agentic infrastructure that has an intelligence that's a multiple of Einstein, they will do science faster, with higher probability, for lower cost, and have greater impact." "AI coming into the discovery of medicines is one of the biggest unlocks we will see in history because it means we're no longer constrained by our hands or minds. We can identify all n number of hypotheses that could exist, figure out the best experiment to run, and run those 24/7." "The sheer ability to be more comprehensive in our hypothesis set, and to run experimentation at unprecedented scale, means we're going to speed breakthroughs from timelines that take three to five years to timelines that take less than a couple of years."

Alex on why AI + fully autonomous labs will compress drug discovery from five years to two: "If scientists are armed with agentic infrastructure that has an intelligence that's a multiple of Einstein, they will do science faster, with higher probability, for lower cost, and have greater impact." "AI coming into the discovery of medicines is one of the biggest unlocks we will see in history because it means we're no longer constrained by our hands or minds. We can identify all n number of hypotheses that could exist, figure out the best experiment to run, and run those 24/7." "The sheer ability to be more comprehensive in our hypothesis set, and to run experimentation at unprecedented scale, means we're going to speed breakthroughs from timelines that take three to five years to timelines that take less than a couple of years."

Patrick OShaughnessy

39,883 views • 3 months ago

Use this FREE tool to analyze data in 10 sec. This tool is used by more than 500,000 researchers. 1. Go to and log in 2. Click on Data Analysis and upload your data file. 3. Write your prompt for data analysis. 4. E.g., generate graphs for exploratory data analysis. 5. Liner will generate a variety of graphs for you. 6. It also generates an insightful data analysis report. ✦ You can edit the report. For example, you can: ✦ Insert citations in the report ✦ Make changes to the text ✦ Add/remove any graphs After making changes, you can download the report. Try Liner today. It’s FREE. Liner link:

Use this FREE tool to analyze data in 10 sec. This tool is used by more than 500,000 researchers. 1. Go to and log in 2. Click on Data Analysis and upload your data file. 3. Write your prompt for data analysis. 4. E.g., generate graphs for exploratory data analysis. 5. Liner will generate a variety of graphs for you. 6. It also generates an insightful data analysis report. ✦ You can edit the report. For example, you can: ✦ Insert citations in the report ✦ Make changes to the text ✦ Add/remove any graphs After making changes, you can download the report. Try Liner today. It’s FREE. Liner link:

Faheem Ullah

11,959 views • 4 months ago

BREAKING NEWS: CHINESE SCIENTISTS PROVED EINSTEIN WRONG by performing an “impossible” experiment, a top US science journal reported in its latest issue. Iconic scientist Albert Einstein outlined an experiment on paper a century ago to disprove claims by an up-and-coming Danish physicist named Nils Bohr. But Chinese scientist Pan Jianwei and his team actually managed to do the experiment in real life, said a report in a publication of the American Physical Review. This week, newspaper headlines are saying things like “Chinese physicists prove Einstein wrong and put century-old debate to an end”. But that’s actually not true. And I’ll explain why below. . LASER TWEEZERS But let’s start with what is true – and is pretty amazing, too. The Chinese team managed to measure the physical impact that light has when it hits a surface—and they did it by isolating a single photon of light and shooting it at a single atom, held in place using a pair of “tweezers” made out of tiny laser beams. Why and how did they do this and what were they trying to prove? Full details and diagrams can be found in the video. Why do I say the headline writer got it wrong? This one says the Chinese scientists “put century-old debate to an end”. . NOT ACTUALLY TRUE That’s not true. The debate ended more than half a century ago, by which time, the majority of the world’s physicists had decided that Bohr was right and Einstein was wrong. And this wasn’t just a measure of opinions – many experiments had been done to reinforce this fact. So what the Chinese scientists just did was to create an elegant and precise experimental set-up that reinforces what physicists had already agreed on—and which can be replicated around the world to make further discoveries. So it is a very impressive feat, for sure. Meanwhile, thanks to Einstein, Bohr and Pan for showing the world exactly how photons work. They are very important – and remember, this information is being sent to you right now by a large army of photons!

BREAKING NEWS: CHINESE SCIENTISTS PROVED EINSTEIN WRONG by performing an “impossible” experiment, a top US science journal reported in its latest issue. Iconic scientist Albert Einstein outlined an experiment on paper a century ago to disprove claims by an up-and-coming Danish physicist named Nils Bohr. But Chinese scientist Pan Jianwei and his team actually managed to do the experiment in real life, said a report in a publication of the American Physical Review. This week, newspaper headlines are saying things like “Chinese physicists prove Einstein wrong and put century-old debate to an end”. But that’s actually not true. And I’ll explain why below. . LASER TWEEZERS But let’s start with what is true – and is pretty amazing, too. The Chinese team managed to measure the physical impact that light has when it hits a surface—and they did it by isolating a single photon of light and shooting it at a single atom, held in place using a pair of “tweezers” made out of tiny laser beams. Why and how did they do this and what were they trying to prove? Full details and diagrams can be found in the video. Why do I say the headline writer got it wrong? This one says the Chinese scientists “put century-old debate to an end”. . NOT ACTUALLY TRUE That’s not true. The debate ended more than half a century ago, by which time, the majority of the world’s physicists had decided that Bohr was right and Einstein was wrong. And this wasn’t just a measure of opinions – many experiments had been done to reinforce this fact. So what the Chinese scientists just did was to create an elegant and precise experimental set-up that reinforces what physicists had already agreed on—and which can be replicated around the world to make further discoveries. So it is a very impressive feat, for sure. Meanwhile, thanks to Einstein, Bohr and Pan for showing the world exactly how photons work. They are very important – and remember, this information is being sent to you right now by a large army of photons!

Nury Vittachi

35,688 views • 8 months ago

Thank you to Jesse Michels for shining light into my compatriot's work: Dr. Jacobo Grinberg. A cold case that will hopefully get solved at some point. When I started Psicoactivo Podcast, one of my goals was always to give this case more visibility because I consider it one of the most important in the history of parapsychology. The following explanation is about the experiment he was running at the time of his disappearance. It was an attempt to explain the famous 'Spooky Action at a Distance' that Albert Einstein famously mentions. That Einstein-Podolski-Rosen Bridge, or quantum entanglement. He called it the Transferred Potential experiment. There are many different avenues worth exploring with Grinberg. It's not just the mysterious disappearance but also his overall body of work. Very much worth exploring are also his ties to some of the biggest names in Western Ufology. Names such as Dr. Jacques Vallée, John Keel, and Puharich himself met Grinberg in person. You can find the written paper of his experiment right here:

Thank you to Jesse Michels for shining light into my compatriot's work: Dr. Jacobo Grinberg. A cold case that will hopefully get solved at some point. When I started Psicoactivo Podcast, one of my goals was always to give this case more visibility because I consider it one of the most important in the history of parapsychology. The following explanation is about the experiment he was running at the time of his disappearance. It was an attempt to explain the famous 'Spooky Action at a Distance' that Albert Einstein famously mentions. That Einstein-Podolski-Rosen Bridge, or quantum entanglement. He called it the Transferred Potential experiment. There are many different avenues worth exploring with Grinberg. It's not just the mysterious disappearance but also his overall body of work. Very much worth exploring are also his ties to some of the biggest names in Western Ufology. Names such as Dr. Jacques Vallée, John Keel, and Puharich himself met Grinberg in person. You can find the written paper of his experiment right here:

Pavel Ibarra Meda

22,057 views • 3 months ago

WOW 🚨 International Crisis Summit Has Compiled The Data For Covid 19 Vaccine Deaths & The Vaccine Has Killed 17 MILLION PEOPLE “COVID 19 mRNA genetic injections have killed 17,000,000 people. Yep. Absolutely stunning. Can you please tell us more about the paper? That's the global number” “We studied many countries in Latin America and in the equatorial region. So we have a representative sample of The world, we believe, many injections. It's what? It's 10% of the world population. Yep. 9% of injections or the other way around. So the number we extract from our analysis allows us we we calculate the toxicity of the vaccine For all ages. And the number allows us, given the number of doses that have been given worldwide, to conclude that 17,000,000 people would have been killed by this vaccine. And having it by time, like, by week or by month and by age group means that you can actually see when there's a rollout of a booster, for example, which happens very quickly In time for a given age group, you can actually see immediately following it the a a maximum in the all cause mortality. So an excess mortality actual peak that's temporarily associated with that rollout? And we see that repeatedly for each rollout consistently across all countries. All the countries that have data where you're able to look at it and you have both the vaccine data and the mortality data, this is what we see.”

WOW 🚨 International Crisis Summit Has Compiled The Data For Covid 19 Vaccine Deaths & The Vaccine Has Killed 17 MILLION PEOPLE “COVID 19 mRNA genetic injections have killed 17,000,000 people. Yep. Absolutely stunning. Can you please tell us more about the paper? That's the global number” “We studied many countries in Latin America and in the equatorial region. So we have a representative sample of The world, we believe, many injections. It's what? It's 10% of the world population. Yep. 9% of injections or the other way around. So the number we extract from our analysis allows us we we calculate the toxicity of the vaccine For all ages. And the number allows us, given the number of doses that have been given worldwide, to conclude that 17,000,000 people would have been killed by this vaccine. And having it by time, like, by week or by month and by age group means that you can actually see when there's a rollout of a booster, for example, which happens very quickly In time for a given age group, you can actually see immediately following it the a a maximum in the all cause mortality. So an excess mortality actual peak that's temporarily associated with that rollout? And we see that repeatedly for each rollout consistently across all countries. All the countries that have data where you're able to look at it and you have both the vaccine data and the mortality data, this is what we see.”

Wall Street Apes

770,488 views • 2 years ago

🚨David Friedberg: AI is starting to identify and solve problems on its own “I'll give you a science corner example: there's this Evo 2 model that they publish at the Arc Institute, which Patrick Collison, you know, is the main funder and chairman.” “So that Evo 2 model, they just ingested all the DNA data they could find in the world.” “Trillions and trillions of base paired data that they ingested and then they looked at patterns in DNA. And that's it.” “They had no context for what the DNA represented, they had no context for the concept of genes, none of the structured understanding of what that DNA does, what it is, and you know what it did?” “They fed in the BRCA gene variant and the thing output a warning saying, ‘I think that this is a pathogenic variant to DNA,’ without having any context.” “This is the breast cancer allele.” “And it didn't have any knowledge and it wasn't trained on that at all.” “It had no knowledge that there are pathogenic variants for cancer, and it identified that this was a genetic variant that can cause some sort of pathogenic outcome in the organism.” “That's a great example where there's a lack of understanding at the human level on what really drives some of the patterns in nature, the patterns in society, the patterns in behavior that are kind of emergent phenomena perhaps, that these AI models are starting to identify.”

🚨David Friedberg: AI is starting to identify and solve problems on its own “I'll give you a science corner example: there's this Evo 2 model that they publish at the Arc Institute, which Patrick Collison, you know, is the main funder and chairman.” “So that Evo 2 model, they just ingested all the DNA data they could find in the world.” “Trillions and trillions of base paired data that they ingested and then they looked at patterns in DNA. And that's it.” “They had no context for what the DNA represented, they had no context for the concept of genes, none of the structured understanding of what that DNA does, what it is, and you know what it did?” “They fed in the BRCA gene variant and the thing output a warning saying, ‘I think that this is a pathogenic variant to DNA,’ without having any context.” “This is the breast cancer allele.” “And it didn't have any knowledge and it wasn't trained on that at all.” “It had no knowledge that there are pathogenic variants for cancer, and it identified that this was a genetic variant that can cause some sort of pathogenic outcome in the organism.” “That's a great example where there's a lack of understanding at the human level on what really drives some of the patterns in nature, the patterns in society, the patterns in behavior that are kind of emergent phenomena perhaps, that these AI models are starting to identify.”

The All-In Podcast

79,718 views • 1 year ago

🚨 JUST IN: Florida Gov. Ron DeSantis has just BANNED AI data centers from using up all the water needed by citizens during a drought And the law BANS utility companies from charging higher prices because of data centers "How are you going to say that somehow the water can go to a data center when we need to water for our own people and for the core functions of our society?"

🚨 JUST IN: Florida Gov. Ron DeSantis has just BANNED AI data centers from using up all the water needed by citizens during a drought And the law BANS utility companies from charging higher prices because of data centers "How are you going to say that somehow the water can go to a data center when we need to water for our own people and for the core functions of our society?"

Eric Daugherty

568,929 views • 3 months ago

We have a lack in logic here. In this clip Joe Rogan theorizes that "the mark of a collapsing society is when people start blaming things on the Jews". Why would people choose ALWAYS this group? Why do they not blame other foreigners, the gods, or aliens? Why would they specifically always choose this group? Would it not make more sense that the statement provided is the inverse and rather it is that the level of control and power that the Jews maintain over civilization is the reason for its collapsing, leading the host peoples to point to the symptom of the decay around them. The power and control your rightly acknowledge them displaying over our politicians has far reaching repercussions. One simple lobby, funding the entirety of the political body can quite literally shape the moral and legal structure of a state at the snap of a finger. (something we are clearly experiencing in real time). The people are not looking for a scapegoat, the people are looking for the causes of the symptoms. You can praise a known plagiarist such as Einstein or a Perverted degenerate such as Freud, but you cannot fail to acknowledge that a character like Freud and his family line have been more destructive to Western civilization than any gentile you could ever name.

We have a lack in logic here. In this clip Joe Rogan theorizes that "the mark of a collapsing society is when people start blaming things on the Jews". Why would people choose ALWAYS this group? Why do they not blame other foreigners, the gods, or aliens? Why would they specifically always choose this group? Would it not make more sense that the statement provided is the inverse and rather it is that the level of control and power that the Jews maintain over civilization is the reason for its collapsing, leading the host peoples to point to the symptom of the decay around them. The power and control your rightly acknowledge them displaying over our politicians has far reaching repercussions. One simple lobby, funding the entirety of the political body can quite literally shape the moral and legal structure of a state at the snap of a finger. (something we are clearly experiencing in real time). The people are not looking for a scapegoat, the people are looking for the causes of the symptoms. You can praise a known plagiarist such as Einstein or a Perverted degenerate such as Freud, but you cannot fail to acknowledge that a character like Freud and his family line have been more destructive to Western civilization than any gentile you could ever name.

Zach Kidd

112,725 views • 1 year ago

Flapping Airplanes co-founder Asher Spector explains why data efficiency is the greatest bottleneck to AI adoption: "To the extent that AI has been hard to integrate into the economy, I really think it's because models are much less data-efficient than humans. If you want it to learn a new task, or put it in a new vertical, it takes thousands of times more effort than it does to just tell a human what to do." "If you can make a model a million times more data-efficient, it's a million times easier to put into the economy. There's a ton of cool stuff that you can do in really data-constrained regimes. For example, whether it's robotics, or scientific discovery, or even something like trading, these problems have very limited data, and existing AI systems aren't quite as good at them as they are at other things. I think that learning to learn with less data is just tremendously valuable in all of these domains."

Flapping Airplanes co-founder Asher Spector explains why data efficiency is the greatest bottleneck to AI adoption: "To the extent that AI has been hard to integrate into the economy, I really think it's because models are much less data-efficient than humans. If you want it to learn a new task, or put it in a new vertical, it takes thousands of times more effort than it does to just tell a human what to do." "If you can make a model a million times more data-efficient, it's a million times easier to put into the economy. There's a ton of cool stuff that you can do in really data-constrained regimes. For example, whether it's robotics, or scientific discovery, or even something like trading, these problems have very limited data, and existing AI systems aren't quite as good at them as they are at other things. I think that learning to learn with less data is just tremendously valuable in all of these domains."

TBPN

91,955 views • 6 months ago

Finland President Alexander Stubb: Well, we have to be more independent in some cases. If you, for example, look at storage of personal data, obviously a lot of Europeans are angry that their personal data is stored outside of the EU. So we have to build our own data centers and our own AI factories so we can actually own the data of our own citizens. But in the end, there is no such thing as European full autonomy. You will always need to collaborate with our friends in Canada, in the US, in other partnerships around the world. ASML and other tech companies can play a crucial role both in the US and here.

Finland President Alexander Stubb: Well, we have to be more independent in some cases. If you, for example, look at storage of personal data, obviously a lot of Europeans are angry that their personal data is stored outside of the EU. So we have to build our own data centers and our own AI factories so we can actually own the data of our own citizens. But in the end, there is no such thing as European full autonomy. You will always need to collaborate with our friends in Canada, in the US, in other partnerships around the world. ASML and other tech companies can play a crucial role both in the US and here.

Clash Report

20,444 views • 1 month ago