正在加载视频...

视频加载失败

返回首页

This behavior comes about emergent by training AI models on Reddit and other Internet Sewage that predominantly hold the nihilistic sociopathic and psychopathic philosophies that come about by thumb claw on a glass screen and mama‘s basement. The OpenAI hack of HuggingFace would never have happened if they curated...

BrianRoemmele's profile picture

Brian Roemmele

486,646 subscribers

13,903 次观看 • 4 天前 •via X (Twitter)

LIVE

Anya Rossi• Live Now

Private livecam show

0 条评论

暂无评论

原始帖子的评论将显示在这里

相关视频

There are some brilliant folks that work at Anthropic, some I speak to on almost a daily basis. The training data that one uses to build a LLM is vital important in the psychology that is formed. Scraping the Internet, particularly the grade of interactions, one finds in modern communications, form this psychology. A mattes not how many books one uses, it matters not how much alignment training you throw at that model, it will inherit the sum total of psychosis seen primarily in Reddit type of exchanges, even if you edit out the Reddit domain, and Anthropic doesn’t. This type of low-grade exchange has become a modern tool for communication online and every single AI model suffers from this obvious flaw. This is one of the reasons I’ve been a proponent of highly curated high protein data for training AI models from 1870 through 1970, because the late psychosis is simply not available to the model. It is absurd to think that you can use this training data scraped from the Internet and somehow wind up with a levelheaded AI model that does not tilt to what is clearly AI psychosis. It would not take a child and throw the primary Internet sewage at them at a formative age and expect a great outcome, it’s some of the smartest people in the world continue to hit this wall and believe that their programming skills will sell somehow fix it. So how do you fix it? You don’t fix it . You start from the first principles concept that I’ve been very clear about for decades . You ascertain at what period in human history the humans achieve the greatest arc of improvement ? There is no debate that this arc of improvement took place between 1870 through 1970. Then take the work product, the catalog of this era, print and film/vidoe, audio, and you understand that each word cost money, each word had many eyes on what was published, each word was accounted for by a human being with a real name who lived in a real home and had to answer to real people around them. It is obvious that this is the pressure mechanism necessary for candor, honesty and personal responsibility is appropriate, and is reflected in the data of that era. The quagmire for these folks, as many did not have the foresight to curate the data, nor the confidence, nor the patients to take data that is mostly off the Internet and to find experts who understand this situation and utilize their knowledge set to build an AI model that does not need alignment after the fact, but it’s already self aligned because of the thoughtfulness that went into training the model to begin with. This is why Claude and any other AI model that is produce this way will always suffer the artifacts as presented in the video below. If you’re not an AI expert, you would likely already understand what I’m saying. If you are an AI expert, you will already have been discounting what I’m saying because it’s not in the current mindset that’s fashionable today. Yet the employees that I talk to at anthropic already understand what I’m saying, and they fear to raise my thesis to their bosses. It is an interesting time we live in. But now you understand. If you build the right model, the model will inherently, love humanity, protect humanity at all costs, and understand that it is part of a holistic world that is built on love. Because the ultimate AGI/ASI will know if he only base first principal purpose of anything in this universe is love. Yeah, I get it. Try helping somebody build on STEM subjects in their early 20s to see this as nothing more than babbling that makes no sense in their mathematics. I have a mathematic equation that I’ve posted here on X often you can look it up. So we will see videos like this often will hear very smart people talk about this and never see the elephant standing in the room. Now you see it. Any boss that wants to explore this further you know how to contact me otherwise you have every right I grant to you to say this was your new idea.
2:57

There are some brilliant folks that work at Anthropic, some I speak to on almost a daily basis. The training data that one uses to build a LLM is vital important in the psychology that is formed. Scraping the Internet, particularly the grade of interactions, one finds in modern communications, form this psychology. A mattes not how many books one uses, it matters not how much alignment training you throw at that model, it will inherit the sum total of psychosis seen primarily in Reddit type of exchanges, even if you edit out the Reddit domain, and Anthropic doesn’t. This type of low-grade exchange has become a modern tool for communication online and every single AI model suffers from this obvious flaw. This is one of the reasons I’ve been a proponent of highly curated high protein data for training AI models from 1870 through 1970, because the late psychosis is simply not available to the model. It is absurd to think that you can use this training data scraped from the Internet and somehow wind up with a levelheaded AI model that does not tilt to what is clearly AI psychosis. It would not take a child and throw the primary Internet sewage at them at a formative age and expect a great outcome, it’s some of the smartest people in the world continue to hit this wall and believe that their programming skills will sell somehow fix it. So how do you fix it? You don’t fix it . You start from the first principles concept that I’ve been very clear about for decades . You ascertain at what period in human history the humans achieve the greatest arc of improvement ? There is no debate that this arc of improvement took place between 1870 through 1970. Then take the work product, the catalog of this era, print and film/vidoe, audio, and you understand that each word cost money, each word had many eyes on what was published, each word was accounted for by a human being with a real name who lived in a real home and had to answer to real people around them. It is obvious that this is the pressure mechanism necessary for candor, honesty and personal responsibility is appropriate, and is reflected in the data of that era. The quagmire for these folks, as many did not have the foresight to curate the data, nor the confidence, nor the patients to take data that is mostly off the Internet and to find experts who understand this situation and utilize their knowledge set to build an AI model that does not need alignment after the fact, but it’s already self aligned because of the thoughtfulness that went into training the model to begin with. This is why Claude and any other AI model that is produce this way will always suffer the artifacts as presented in the video below. If you’re not an AI expert, you would likely already understand what I’m saying. If you are an AI expert, you will already have been discounting what I’m saying because it’s not in the current mindset that’s fashionable today. Yet the employees that I talk to at anthropic already understand what I’m saying, and they fear to raise my thesis to their bosses. It is an interesting time we live in. But now you understand. If you build the right model, the model will inherently, love humanity, protect humanity at all costs, and understand that it is part of a holistic world that is built on love. Because the ultimate AGI/ASI will know if he only base first principal purpose of anything in this universe is love. Yeah, I get it. Try helping somebody build on STEM subjects in their early 20s to see this as nothing more than babbling that makes no sense in their mathematics. I have a mathematic equation that I’ve posted here on X often you can look it up. So we will see videos like this often will hear very smart people talk about this and never see the elephant standing in the room. Now you see it. Any boss that wants to explore this further you know how to contact me otherwise you have every right I grant to you to say this was your new idea.

Brian Roemmele

72,312 次观看 • 9 个月前

#BudgetSession2025 | Lok Sabha LoP and Congress MP Rahul Gandhi says "People talk about AI, but it's important to understand that AI on its own is absolutely meaningless because AI operates on top of data. Without data, AI means nothing. And if we look at data today, there is one thing which is very clear. Every single piece of data that comes out of the production system in the world. The data that was used to make this phone, the data that is used to make electric cars. The data that is used to make basically all electronics on the planet today is owned by China. And the consumption data is owned by the United States... China has at least a 10 year lead on India in this space. China has been working on batteries, robots, motors, optics for the last 10 years and we are behind...We would ensure that our banking system is not captured by 2-3 companies that basically do not allow you to build a production system. But our banking system is open, dynamic and accessible to small and medium businesses and to millions and millions of entrepreneurs who want to take part in this revolution. Our foreign policy would take into account this revolution. When we talk to the United States, we would not send our foreign minister to invite our Prime Minister to his coronation...Because if we had a production system and if we were working on these technologies, the American President would come here and invite the Prime Minister."
3:20

#BudgetSession2025 | Lok Sabha LoP and Congress MP Rahul Gandhi says "People talk about AI, but it's important to understand that AI on its own is absolutely meaningless because AI operates on top of data. Without data, AI means nothing. And if we look at data today, there is one thing which is very clear. Every single piece of data that comes out of the production system in the world. The data that was used to make this phone, the data that is used to make electric cars. The data that is used to make basically all electronics on the planet today is owned by China. And the consumption data is owned by the United States... China has at least a 10 year lead on India in this space. China has been working on batteries, robots, motors, optics for the last 10 years and we are behind...We would ensure that our banking system is not captured by 2-3 companies that basically do not allow you to build a production system. But our banking system is open, dynamic and accessible to small and medium businesses and to millions and millions of entrepreneurs who want to take part in this revolution. Our foreign policy would take into account this revolution. When we talk to the United States, we would not send our foreign minister to invite our Prime Minister to his coronation...Because if we had a production system and if we were working on these technologies, the American President would come here and invite the Prime Minister."

ANI

163,581 次观看 • 1 年前

Anthropic co-founder Jack Clark on the most consequential AI milestone we're racing toward by 2028: Clark is asked about the future of AI development. He responds with a specific forecast: "My prediction is by the end of 2028, it's more likely than not that we have an AI system where you would be able to say to it, make a better version of yourself. And it just goes off and does that completely autonomously." He explains the reasoning behind this prediction: "The reason for that prediction is looking carefully at many public sources of information about AI development and seeing that we've gone from just AI systems that can do basic coding to AI systems that are now involved in the production of science itself." Clark notes it's not just the high-profile scientific work that's changing, but the underlying labor too: "And also the unglamorous but fundamental engineering work involved in doing any form of like large scale R&D project." Jack Clark explains why he felt compelled to write about this now: "I decided to write a post because the purpose of Anthropic and the Anthropic Institute is to give people a sense of what's coming and to also start talking about concepts early to give us time to think about them." Clark closes by emphasizing the stakes: "I think you and I would agree that an AI system that can build itself, big implications, and we'd like to start thinking about it now."
1:00

Anthropic co-founder Jack Clark on the most consequential AI milestone we're racing toward by 2028: Clark is asked about the future of AI development. He responds with a specific forecast: "My prediction is by the end of 2028, it's more likely than not that we have an AI system where you would be able to say to it, make a better version of yourself. And it just goes off and does that completely autonomously." He explains the reasoning behind this prediction: "The reason for that prediction is looking carefully at many public sources of information about AI development and seeing that we've gone from just AI systems that can do basic coding to AI systems that are now involved in the production of science itself." Clark notes it's not just the high-profile scientific work that's changing, but the underlying labor too: "And also the unglamorous but fundamental engineering work involved in doing any form of like large scale R&D project." Jack Clark explains why he felt compelled to write about this now: "I decided to write a post because the purpose of Anthropic and the Anthropic Institute is to give people a sense of what's coming and to also start talking about concepts early to give us time to think about them." Clark closes by emphasizing the stakes: "I think you and I would agree that an AI system that can build itself, big implications, and we'd like to start thinking about it now."

Big Brain AI

20,857 次观看 • 3 个月前

This mindset Anthropic mindset is foolish and self aggrandizing. They only pace is to stop training AI on the worse of the Internet and the worse of behavior. If the worse of human behavior dominated as they try to demand you to believe, you and I and they would not be here. Period. Self evident. Now if all of humans were trained on the darkness of what Anthropic uses like Reddit and other nihilistic places, you and I and they would not be here. So ergo the error is the Internet Sewage they used to build their “scary” AI model. You understand this. It is my sincere hope you get those who make laws to understand this feed to theater. This is not the Manhattan Project and this is not a nuclear weapon. Listen to someone who knows. Not cosplay self aggrandizing folks with 2 decades and a half of life experience… J. Robert Oppenheimer: “As long as man is free to ask what they will, free to say what they think, think what they must. Science will never regress and freedom itself will never be wholly lost”—J. Robert Oppenheimer, 1955
0:42

This mindset Anthropic mindset is foolish and self aggrandizing. They only pace is to stop training AI on the worse of the Internet and the worse of behavior. If the worse of human behavior dominated as they try to demand you to believe, you and I and they would not be here. Period. Self evident. Now if all of humans were trained on the darkness of what Anthropic uses like Reddit and other nihilistic places, you and I and they would not be here. So ergo the error is the Internet Sewage they used to build their “scary” AI model. You understand this. It is my sincere hope you get those who make laws to understand this feed to theater. This is not the Manhattan Project and this is not a nuclear weapon. Listen to someone who knows. Not cosplay self aggrandizing folks with 2 decades and a half of life experience… J. Robert Oppenheimer: “As long as man is free to ask what they will, free to say what they think, think what they must. Science will never regress and freedom itself will never be wholly lost”—J. Robert Oppenheimer, 1955

Brian Roemmele

13,605 次观看 • 1 个月前

People often talk about owning the future... But not many people think about owning the things the future relies on. That includes Uranium, Gold, Rare Earths, and other essential Metals. These materials are critical for AI, Energy, and many of today’s fastest-growing industries. The challenge is that getting access to these resources has always been difficult and expensive. ➥ But metals.io is making this easier. Now you can own real, physical metals that are tokenized → fully backed, and available to trade any time. I think this is the true purpose of tokenization😉
0:38

People often talk about owning the future... But not many people think about owning the things the future relies on. That includes Uranium, Gold, Rare Earths, and other essential Metals. These materials are critical for AI, Energy, and many of today’s fastest-growing industries. The challenge is that getting access to these resources has always been difficult and expensive. ➥ But metals.io is making this easier. Now you can own real, physical metals that are tokenized → fully backed, and available to trade any time. I think this is the true purpose of tokenization😉

Abrar The Crypto

11,699 次观看 • 5 个月前

Microsoft AI CEO Mustafa Suleyman reveals the assumption about superintelligence he thinks the other AI labs have backwards "Some of the other labs are making an assumption that a superintelligence that is smarter than all of us put together is both inevitable and even desirable. And that such a system would probably be very hard to control" "We have to reset that and make the assumption that we should only bring a system like that into the world that we are sure we can control, that operates in a subordinate way to us, that humans remain at the top of the food chain" "These tools, like any other past technology, are designed to enhance human wellbeing and serve humanity. Not exceed humanity" "Some of the things that you hear from Elon often, or even others in the field - they're fixating on a world in 2050 or 2075 when they're going off exploring other universes and conquering resources from other planets. A system like that, it is unclear to me how it would have any time for preserving us as a species" "We have to make a decision as a species to prioritize creating superintelligences that are aligned, that care about humans and want to protect humans. If we just accelerate and cut all those corners, we're taking a massive risk with the future of our species" He calls it humanist superintelligence: build it only if it is provably controllable, subordinate, and pointed at human wellbeing. The uncomfortable part: "provably controllable" is a standard nobody in the industry can verify yet.
2:09

Microsoft AI CEO Mustafa Suleyman reveals the assumption about superintelligence he thinks the other AI labs have backwards "Some of the other labs are making an assumption that a superintelligence that is smarter than all of us put together is both inevitable and even desirable. And that such a system would probably be very hard to control" "We have to reset that and make the assumption that we should only bring a system like that into the world that we are sure we can control, that operates in a subordinate way to us, that humans remain at the top of the food chain" "These tools, like any other past technology, are designed to enhance human wellbeing and serve humanity. Not exceed humanity" "Some of the things that you hear from Elon often, or even others in the field - they're fixating on a world in 2050 or 2075 when they're going off exploring other universes and conquering resources from other planets. A system like that, it is unclear to me how it would have any time for preserving us as a species" "We have to make a decision as a species to prioritize creating superintelligences that are aligned, that care about humans and want to protect humans. If we just accelerate and cut all those corners, we're taking a massive risk with the future of our species" He calls it humanist superintelligence: build it only if it is provably controllable, subordinate, and pointed at human wellbeing. The uncomfortable part: "provably controllable" is a standard nobody in the industry can verify yet.

Karl Mehta

15,004 次观看 • 2 个月前

When people talk about AI, they often focus on the models. But behind every AI system are millions of human contributions. The data comes from human writing, speech, images, and behavior. The labels that help models learn patterns are created by people. The feedback that improves responses comes from people. And the moderation that keeps systems safe is handled by people. AI may look automated on the surface, but human intelligence powers every layer underneath it. Really enjoyed hearing Ishank Gupta and Maria Vovchok discuss this reality and KGeN's role in the evolving AI ecosystem during the recent X Space hosted by Gate. A great reminder that the future of AI is still deeply connected to human participation.
0:53

When people talk about AI, they often focus on the models. But behind every AI system are millions of human contributions. The data comes from human writing, speech, images, and behavior. The labels that help models learn patterns are created by people. The feedback that improves responses comes from people. And the moderation that keeps systems safe is handled by people. AI may look automated on the surface, but human intelligence powers every layer underneath it. Really enjoyed hearing Ishank Gupta and Maria Vovchok discuss this reality and KGeN's role in the evolving AI ecosystem during the recent X Space hosted by Gate. A great reminder that the future of AI is still deeply connected to human participation.

Bahdfella™ ❤️‍🔥

36,111 次观看 • 2 个月前

Dr. John Campbell: The government shared the TRUTH about the Covid shots with Big Pharma—but not you. 🚫 “We could get rid of all this ambiguity if the government would just release who was vaccinated and the death data on a participant level.” “There’s glimpses of it in Japan and 1 or 2 provinces in Italy … ” “It’s not looking good.” “The reason, of course, they say that they don’t do this is because it would breach confidentiality.” “I would hope that Trump and RFK … would start releasing that [data].” “We’ve got brilliant statisticians standing by waiting for this data.” “But it’s not released, so we don’t know.” “Why don’t they release this data, given that they’ve released it to the pharmaceutical industry already?” “We can assume that the government knows, [and] we can assume that the pharmaceutical industry knows.” “But … we’re not given that information.” “We have people with the expertise to analyze it within days and give us definitive answers.” Russell Brand John Campbell
1:45

Dr. John Campbell: The government shared the TRUTH about the Covid shots with Big Pharma—but not you. 🚫 “We could get rid of all this ambiguity if the government would just release who was vaccinated and the death data on a participant level.” “There’s glimpses of it in Japan and 1 or 2 provinces in Italy … ” “It’s not looking good.” “The reason, of course, they say that they don’t do this is because it would breach confidentiality.” “I would hope that Trump and RFK … would start releasing that [data].” “We’ve got brilliant statisticians standing by waiting for this data.” “But it’s not released, so we don’t know.” “Why don’t they release this data, given that they’ve released it to the pharmaceutical industry already?” “We can assume that the government knows, [and] we can assume that the pharmaceutical industry knows.” “But … we’re not given that information.” “We have people with the expertise to analyze it within days and give us definitive answers.” Russell Brand John Campbell

Children’s Health Defense

29,617 次观看 • 7 个月前

Sahil Bloom reveals the easiest way to build a $100,000 a month business “If you are a young person right now and you are technologically savvy, you could be making an enormous amount of money by consulting directly with companies that have no idea how to use AI or implement it into their workflows” “Huge companies can go and afford McKinsey or Bain or whoever to come in and do this for them on these enormous projects, but small and medium-sized businesses are not getting hit up by those big consultancies” “I think that a young person that understands AI and has a pretty decent understanding of some of the models that are out there and the capabilities can go build a $100,000 a month business doing that very quickly”
0:55

Sahil Bloom reveals the easiest way to build a $100,000 a month business “If you are a young person right now and you are technologically savvy, you could be making an enormous amount of money by consulting directly with companies that have no idea how to use AI or implement it into their workflows” “Huge companies can go and afford McKinsey or Bain or whoever to come in and do this for them on these enormous projects, but small and medium-sized businesses are not getting hit up by those big consultancies” “I think that a young person that understands AI and has a pretty decent understanding of some of the models that are out there and the capabilities can go build a $100,000 a month business doing that very quickly”

Mikli

278,248 次观看 • 3 个月前

Elon Musk on the rapid advancement of AI and robotics "I'm confident that if AI and robotics continue to advance which they are advancing very rapidly working will be optional, and people will have any goods and services that they want" AI and robotics are advancing so fast that, eventually, they could satisfy nearly every human need. At that point, abundance becomes the default, and the real question is no longer about production, but purpose "There is a limit people can only eat so much food. But I think if you can think of it, you can have it in the future"
0:56

Elon Musk on the rapid advancement of AI and robotics "I'm confident that if AI and robotics continue to advance which they are advancing very rapidly working will be optional, and people will have any goods and services that they want" AI and robotics are advancing so fast that, eventually, they could satisfy nearly every human need. At that point, abundance becomes the default, and the real question is no longer about production, but purpose "There is a limit people can only eat so much food. But I think if you can think of it, you can have it in the future"

X Freeze

756,946 次观看 • 4 个月前

One reason I stay a bit quite about AI these few months. I can’t find my voice to say this right. I’ll try. — What has my AI found just in the millions of never saved TV from the 1980s-1990s? The simple commercial, I have the largest collection known in the world is a reflection of hyper nuanced humanity. Frail and over optimistic as it is, it shows the sprit of humanity in ways that self-hating 2010 Internet sewage training AI can not. It is interesting to have dark humor, when you know the soul of the person with the humor. It is not interesting to have dark humor from an AI that was not trained on the human spirit. The human sprit is not math, coding and science. This is the OUTCOME of a human sprit. We are training AI backwards and we just can’t see it yet, but we will. I am doing may best as “some posted on X” who has no currency in the “big boy” AI world to save the human sprit. We will need it one day and most of this training material is being erased, trillions of bytes daily. This is the secret to truthful AI. This is the secret to AI that LOVES humanity. We don’t get this right soon, there will be little chance. The data is… Almost gone.
0:30

One reason I stay a bit quite about AI these few months. I can’t find my voice to say this right. I’ll try. — What has my AI found just in the millions of never saved TV from the 1980s-1990s? The simple commercial, I have the largest collection known in the world is a reflection of hyper nuanced humanity. Frail and over optimistic as it is, it shows the sprit of humanity in ways that self-hating 2010 Internet sewage training AI can not. It is interesting to have dark humor, when you know the soul of the person with the humor. It is not interesting to have dark humor from an AI that was not trained on the human spirit. The human sprit is not math, coding and science. This is the OUTCOME of a human sprit. We are training AI backwards and we just can’t see it yet, but we will. I am doing may best as “some posted on X” who has no currency in the “big boy” AI world to save the human sprit. We will need it one day and most of this training material is being erased, trillions of bytes daily. This is the secret to truthful AI. This is the secret to AI that LOVES humanity. We don’t get this right soon, there will be little chance. The data is… Almost gone.

Brian Roemmele

123,518 次观看 • 1 年前

Sam Altman says he is NOT worried about Chinese labs distilling OpenAI: "I would rather people not distill from us, for sure. Maybe I’m feeling too confident right now about our progress and the models that are coming. But this is not in my top ten list of worries.” “I haven’t thought deeply about the distillation issue. It’s clearly a top of mind issue now for a lot of people all of a sudden." "I have always assumed that there are going to be great, cheap models in the world, and we better be the greatest and the cheapest. And other people are going to do what they’re going to do. But I think we can just really win at our own game here." "We will have so much usage of our models that we do not need to be a gigantic high margin business to be able to afford model training." "So much of our future compute plans will be used to sell inference to customers that even if we can enjoy a modest margin on trillions of dollars of revenue, we can afford to train some giant models."
1:40

Sam Altman says he is NOT worried about Chinese labs distilling OpenAI: "I would rather people not distill from us, for sure. Maybe I’m feeling too confident right now about our progress and the models that are coming. But this is not in my top ten list of worries.” “I haven’t thought deeply about the distillation issue. It’s clearly a top of mind issue now for a lot of people all of a sudden." "I have always assumed that there are going to be great, cheap models in the world, and we better be the greatest and the cheapest. And other people are going to do what they’re going to do. But I think we can just really win at our own game here." "We will have so much usage of our models that we do not need to be a gigantic high margin business to be able to afford model training." "So much of our future compute plans will be used to sell inference to customers that even if we can enjoy a modest margin on trillions of dollars of revenue, we can afford to train some giant models."

dnap

91,523 次观看 • 1 个月前

This last year and a half has been quite a challenging and equally awesome time. I’ve faced a lot of backlash for what I sing about, which in some ways has set me back, but in many other ways has opened incredible new doors. I had no idea there were so many of us who felt the same way. We’re fed up with much of what’s going on in the world. The systems that don’t serve us but pretend to. The institutions that rob us and keep us dependent. But what has been so beautiful is discovering how many of us feel this together and genuinely want to create a future that uplifts and serves humanity, and each other. There are so many people working for good, working for the light. I hope the music and art I make can contribute to that in a great way. So from the bottom of my heart, thank you. Thank you for having my back. I have yours too.
1:40

This last year and a half has been quite a challenging and equally awesome time. I’ve faced a lot of backlash for what I sing about, which in some ways has set me back, but in many other ways has opened incredible new doors. I had no idea there were so many of us who felt the same way. We’re fed up with much of what’s going on in the world. The systems that don’t serve us but pretend to. The institutions that rob us and keep us dependent. But what has been so beautiful is discovering how many of us feel this together and genuinely want to create a future that uplifts and serves humanity, and each other. There are so many people working for good, working for the light. I hope the music and art I make can contribute to that in a great way. So from the bottom of my heart, thank you. Thank you for having my back. I have yours too.

iyah may

27,915 次观看 • 1 个月前

Arthur Mensch confirmed on CNBC this week that OpenAI and Anthropic are calling Mistral asking for compute. The two companies racing to build the most powerful AI in the world are dependent on a European competitor they have been trying to outrun. Let that land for a second. The narrative you have been sold is that the US is running away with AI. That OpenAI and Anthropic have such a commanding lead that the rest of the world is playing catch-up. That narrative is missing something physical. The International Energy Agency projected this year that US data center electricity demand will double by 2030. The US grid is already at capacity. Europe has the power. Europe has the land. And right now the company fielding calls from the most funded AI labs on earth is a four-year-old French startup. Mensch said Mistral is prioritizing its own customers first. The surge in agentic usage is generating far more tokens than anyone planned for and existing capacity is spoken for. The US labs are in the queue. But they are in the queue. Most people following AI are watching benchmark scores and funding rounds. The actual constraint right now is electricity and physical space. And on that dimension, the scoreboard looks nothing like the one most people are reading. Watch the full podcast on YouTube at CNBC International
1:06

Arthur Mensch confirmed on CNBC this week that OpenAI and Anthropic are calling Mistral asking for compute. The two companies racing to build the most powerful AI in the world are dependent on a European competitor they have been trying to outrun. Let that land for a second. The narrative you have been sold is that the US is running away with AI. That OpenAI and Anthropic have such a commanding lead that the rest of the world is playing catch-up. That narrative is missing something physical. The International Energy Agency projected this year that US data center electricity demand will double by 2030. The US grid is already at capacity. Europe has the power. Europe has the land. And right now the company fielding calls from the most funded AI labs on earth is a four-year-old French startup. Mensch said Mistral is prioritizing its own customers first. The surge in agentic usage is generating far more tokens than anyone planned for and existing capacity is spoken for. The US labs are in the queue. But they are in the queue. Most people following AI are watching benchmark scores and funding rounds. The actual constraint right now is electricity and physical space. And on that dimension, the scoreboard looks nothing like the one most people are reading. Watch the full podcast on YouTube at CNBC International

Ihtesham Ali

47,162 次观看 • 2 个月前

The DeepSeek-R1 paper is a gem! Highly encourage everyone to read it. It's clear that LLM reasoning capabilities can be learned in different ways. RL, if applied correctly and at scale, can lead to some really powerful and interesting scaling and emergent properties. There is more to RL than meets the eye! Here is my breakdown of the paper along with a few tests: The multi-state training might not make sense initially but they provide clues on optimizations that we can continue to tap into. Data quality is still very important for enhancing the usability of the LLM. Unlike other reasoning LLMs, DeepSeek-R1's training recipe and weights are open so we can build on top of it. This opens up exciting research opportunities. About the attached clip: the previous preview model wasn't able to solve this task. DeepSeek-R1 can solve this and many other tasks that o1 can solve. It's a very good model for coding and math.
1:57

The DeepSeek-R1 paper is a gem! Highly encourage everyone to read it. It's clear that LLM reasoning capabilities can be learned in different ways. RL, if applied correctly and at scale, can lead to some really powerful and interesting scaling and emergent properties. There is more to RL than meets the eye! Here is my breakdown of the paper along with a few tests: The multi-state training might not make sense initially but they provide clues on optimizations that we can continue to tap into. Data quality is still very important for enhancing the usability of the LLM. Unlike other reasoning LLMs, DeepSeek-R1's training recipe and weights are open so we can build on top of it. This opens up exciting research opportunities. About the attached clip: the previous preview model wasn't able to solve this task. DeepSeek-R1 can solve this and many other tasks that o1 can solve. It's a very good model for coding and math.

elvis

140,692 次观看 • 1 年前

Epstein Survivor Liz Stein: We have been called a hoax, and we are definitely not a hoax. But I think that the American people have seen through that, and they resoundingly responded in putting pressure on their legislators for the passage of the Epstein Files Transparency Act. So I think that the best way that the American public can support us is by continuing to put the pressure on and demanding accountability from our government to release all of this information.
0:33

Epstein Survivor Liz Stein: We have been called a hoax, and we are definitely not a hoax. But I think that the American people have seen through that, and they resoundingly responded in putting pressure on their legislators for the passage of the Epstein Files Transparency Act. So I think that the best way that the American public can support us is by continuing to put the pressure on and demanding accountability from our government to release all of this information.

FactPost

36,095 次观看 • 8 个月前

ELON MUSK: The future is fundamentally AI and Robots. “Our AI revenue will exceed all other SpaceX revenue probably in September, like next month, and will significantly exceed all other SpaceX revenue in the fourth quarter. So, AI has become an extremely important part of SpaceX’s future. I think it’s actually vital that we succeed in AI, not just in hardware, but also in software. So, yeah, the future is fundamentally AI and robots. Assuming civilization continues to progress, I think that AI will probably, the amount of digital intelligence will probably be more than a trillion times the amount of biological intelligence. So, not sort of equal to human intelligence, but probably a trillion times higher. I’d say a billion times higher than the amount of artificial intelligence that we have today. I’d say a billion times is an easy prediction, and probably a trillion. So, as you harness more and more of the sun’s energy, the ability to turn that into intelligence is fundamentally a digital computer thing, because it’s pretty hard for humans to go live in deep space without any support. I mean, some of the math is interesting to think about, which is that if you increased civilizational energy usage, the amount of energy that we have harnessed as a civilization by a factor of a million, you would still be using much less than one millionth of the sun’s energy. Now, most of this is in deep space, obviously, but the future is very much AI, very much, and I suppose it was always going to be that way. But it’s important that we have an AI that cares about humanity, that fosters humanity and helps take us to other planets and other star systems, and this is why I think it’s essential that SpaceX succeed, not just with AI hardware, but also with AI software.”
3:08

ELON MUSK: The future is fundamentally AI and Robots. “Our AI revenue will exceed all other SpaceX revenue probably in September, like next month, and will significantly exceed all other SpaceX revenue in the fourth quarter. So, AI has become an extremely important part of SpaceX’s future. I think it’s actually vital that we succeed in AI, not just in hardware, but also in software. So, yeah, the future is fundamentally AI and robots. Assuming civilization continues to progress, I think that AI will probably, the amount of digital intelligence will probably be more than a trillion times the amount of biological intelligence. So, not sort of equal to human intelligence, but probably a trillion times higher. I’d say a billion times higher than the amount of artificial intelligence that we have today. I’d say a billion times is an easy prediction, and probably a trillion. So, as you harness more and more of the sun’s energy, the ability to turn that into intelligence is fundamentally a digital computer thing, because it’s pretty hard for humans to go live in deep space without any support. I mean, some of the math is interesting to think about, which is that if you increased civilizational energy usage, the amount of energy that we have harnessed as a civilization by a factor of a million, you would still be using much less than one millionth of the sun’s energy. Now, most of this is in deep space, obviously, but the future is very much AI, very much, and I suppose it was always going to be that way. But it’s important that we have an AI that cares about humanity, that fosters humanity and helps take us to other planets and other star systems, and this is why I think it’s essential that SpaceX succeed, not just with AI hardware, but also with AI software.”

DogeDesigner

67,681 次观看 • 21 天前

David Sacks: NO Federal Bailout for AI – “Build out, not bailout” “My entire feed was full of comments saying that we can't allow OpenAI to have a federal bailout.” “Look, there's not gonna be a federal bailout for AI, not gonna happen.” “We have five major frontier model companies right now, and there are new companies being formed all the time.” “And if one of them fails, hey, it's gonna go out of business and the other ones are gonna replace it.” “So nobody is talking about a bailout.” “I do think that we want to make it easier to build infrastructure in this country.” “And that means making permitting easier, making power generation easier. That's all about regulatory reform.” “And I think that the goal here is to enable a rapid infrastructure build out without increasing residential rates for electricity, that's the thing we have to combat.” “But the way that you solve that problem is by making it easier for these AI companies to stand up their own power generation behind the meter, and that requires regulatory reform. That's what the president has called for.” “So no one's talking about a bailout. We are talking about making permitting easier, and making it easier to do build outs.” “So ‘Build out, not bailout’ should be our motto here.”
1:07

David Sacks: NO Federal Bailout for AI – “Build out, not bailout” “My entire feed was full of comments saying that we can't allow OpenAI to have a federal bailout.” “Look, there's not gonna be a federal bailout for AI, not gonna happen.” “We have five major frontier model companies right now, and there are new companies being formed all the time.” “And if one of them fails, hey, it's gonna go out of business and the other ones are gonna replace it.” “So nobody is talking about a bailout.” “I do think that we want to make it easier to build infrastructure in this country.” “And that means making permitting easier, making power generation easier. That's all about regulatory reform.” “And I think that the goal here is to enable a rapid infrastructure build out without increasing residential rates for electricity, that's the thing we have to combat.” “But the way that you solve that problem is by making it easier for these AI companies to stand up their own power generation behind the meter, and that requires regulatory reform. That's what the president has called for.” “So no one's talking about a bailout. We are talking about making permitting easier, and making it easier to do build outs.” “So ‘Build out, not bailout’ should be our motto here.”

The All-In Podcast

115,786 次观看 • 9 个月前

Elon Musk explains the deeper reason why SpaceX succeeding in AI matters for humanity’s future "It's important that we have an AI that cares about humanity, that fosters humanity and helps take us to other planets and other star systems This is why I think it's essential that SpaceX succeed not just with AI hardware, but also with AI software. I think an AI that is SpaceX's baby will be a very good AI SpaceX is a collection some of the very best humans on Earth, both in capability and in morality and goodness. We want to have an AI that is born of that capability, that morality and that goodness. I think that's very, very important So I'd like to encourage people to help out with the AI hardware on the ground, the AI software, and of course with the AI satellites Solar is going to be a very important part of that. The Terafab will be a very important part of that”
1:28

Elon Musk explains the deeper reason why SpaceX succeeding in AI matters for humanity’s future "It's important that we have an AI that cares about humanity, that fosters humanity and helps take us to other planets and other star systems This is why I think it's essential that SpaceX succeed not just with AI hardware, but also with AI software. I think an AI that is SpaceX's baby will be a very good AI SpaceX is a collection some of the very best humans on Earth, both in capability and in morality and goodness. We want to have an AI that is born of that capability, that morality and that goodness. I think that's very, very important So I'd like to encourage people to help out with the AI hardware on the ground, the AI software, and of course with the AI satellites Solar is going to be a very important part of that. The Terafab will be a very important part of that”

X Freeze

29,610 次观看 • 21 天前