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“Blockchains and cryptography are the only things that are stable in a world where AI can do anything.” EigenCloud founder Sreeram Kannan on the moment AI changed how he saw the world in 2017: “One of my students came to me and said, ‘Can I just use AI to... show more

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Palantir CEO Alex Karp says people think we’re in an AI bubble because a lot of AI just doesn’t work: “If you just buy LLMs off the shelf and try to do any of this, it won’t work.” “It’s not precise enough. You can’t do underwriting. You can’t do these things that are regulated.” “People have tried things that just can never work. You buy a LLM, put it on your stack, and wonder why it’s not working.” “What you’re going to see, especially in America, is people trying to do something like Ontology by hand.” “Once you build a software layer to orchestrate and manage the LLMs in a language your enterprise understands, you actually can create value.” “There’s a lot of discussion on if we’re in an AI bubble. What is the meaning of this bubble? If anything, we’re just in a lag. There’s a lot of AI, some of it works.” “Go back to the battlefield context: everybody in the world assumed this would not work. But now it does work. Now the question is, ‘How can I get it to work for my country?’” “Palantir barely has a sales force. In fact, it seems to be getting smaller and smaller every time I go see them.”

Palantir CEO Alex Karp says people think we’re in an AI bubble because a lot of AI just doesn’t work: “If you just buy LLMs off the shelf and try to do any of this, it won’t work.” “It’s not precise enough. You can’t do underwriting. You can’t do these things that are regulated.” “People have tried things that just can never work. You buy a LLM, put it on your stack, and wonder why it’s not working.” “What you’re going to see, especially in America, is people trying to do something like Ontology by hand.” “Once you build a software layer to orchestrate and manage the LLMs in a language your enterprise understands, you actually can create value.” “There’s a lot of discussion on if we’re in an AI bubble. What is the meaning of this bubble? If anything, we’re just in a lag. There’s a lot of AI, some of it works.” “Go back to the battlefield context: everybody in the world assumed this would not work. But now it does work. Now the question is, ‘How can I get it to work for my country?’” “Palantir barely has a sales force. In fact, it seems to be getting smaller and smaller every time I go see them.”

Jawwwn

695,385 views • 6 months ago

My upcoming release of "Cinematic AI" has made me think about how bodies of work are formed. I think some are manifested and some are revealed. I think "Cinematic AI" falls into the latter category. It was not something I had a clear vision for and then created, but it was something that was revealed to me over time. I thought I saw a glimmer of it early on, but only after some time had past, could I see the body of work emerge. With a bit more context and watching great artists and how they work and think, it finally came to me that this series of 15-20 pieces that I had created could be a worthy collection to mint. AI art has been going through so many transformations from the early GAN work to Collaborative AI to now AI being widely accessible through platforms like MidJourney, Stable Diffusion, and many others. But one area that I have seen explode in recent months is cinematic AI. I distinguish this from animated AI, which has been around for a while, but cinematic AI is where the movements created by AI are getting closer to what you'd see in a movie or captured on a video camera. It still has a long way to go but it is getting more real than surreal as the technology develops. And this is where I seem to have found my groove, my home, my little corner in the artistic landscape. After Runway launched their image-to-video tool, it just blew my mind and I went down a deep rabbit hole and have created a new cinematic AI piece almost every other day for the past few months. I initially saw many of these pieces as just experiments, but with some time to reflect, I am seeing them as having the potential of being relevant pieces of artwork to mark this time in the development of AI. In some cases, I'm not sure if I'll ever be able to create a similar piece again, since the tools I use are not in my control, but in the control of the AI platforms, who are constantly improving and evolving the tools. Given all of this, there is no better way to mark my place in time than on the blockchain. I truly believe that this body of work has the potential to be an important artifact of this era in AI and AI art. It is always hard to judge ones own work, but what I can do is permanently etch in time on an immutable public database saying that I created this. Only time will tell if the work has any value or is of any significance, but who created it and what was created cannot be disputed. I hope this gives you and especially collectors some perspective on the work I'll be releasing next week. I'm still very early in my artistic journey, but hopefully some of you will see promise in what I'm doing and maybe even put in a early bet on my art practice by bidding on a piece next week. Thanks to all of you who have supported me, taught me, advised me, been a friend to me. Much love and respect.🙏 ------------------------------------- CINEMATIC AI October 25, 2023 Marking on the blockchain, establishing historical provenance for a cinematic AI body of work. Minting on Transient Labs ERC-721TL Listing on SuperRare

My upcoming release of "Cinematic AI" has made me think about how bodies of work are formed. I think some are manifested and some are revealed. I think "Cinematic AI" falls into the latter category. It was not something I had a clear vision for and then created, but it was something that was revealed to me over time. I thought I saw a glimmer of it early on, but only after some time had past, could I see the body of work emerge. With a bit more context and watching great artists and how they work and think, it finally came to me that this series of 15-20 pieces that I had created could be a worthy collection to mint. AI art has been going through so many transformations from the early GAN work to Collaborative AI to now AI being widely accessible through platforms like MidJourney, Stable Diffusion, and many others. But one area that I have seen explode in recent months is cinematic AI. I distinguish this from animated AI, which has been around for a while, but cinematic AI is where the movements created by AI are getting closer to what you'd see in a movie or captured on a video camera. It still has a long way to go but it is getting more real than surreal as the technology develops. And this is where I seem to have found my groove, my home, my little corner in the artistic landscape. After Runway launched their image-to-video tool, it just blew my mind and I went down a deep rabbit hole and have created a new cinematic AI piece almost every other day for the past few months. I initially saw many of these pieces as just experiments, but with some time to reflect, I am seeing them as having the potential of being relevant pieces of artwork to mark this time in the development of AI. In some cases, I'm not sure if I'll ever be able to create a similar piece again, since the tools I use are not in my control, but in the control of the AI platforms, who are constantly improving and evolving the tools. Given all of this, there is no better way to mark my place in time than on the blockchain. I truly believe that this body of work has the potential to be an important artifact of this era in AI and AI art. It is always hard to judge ones own work, but what I can do is permanently etch in time on an immutable public database saying that I created this. Only time will tell if the work has any value or is of any significance, but who created it and what was created cannot be disputed. I hope this gives you and especially collectors some perspective on the work I'll be releasing next week. I'm still very early in my artistic journey, but hopefully some of you will see promise in what I'm doing and maybe even put in a early bet on my art practice by bidding on a piece next week. Thanks to all of you who have supported me, taught me, advised me, been a friend to me. Much love and respect.🙏 ------------------------------------- CINEMATIC AI October 25, 2023 Marking on the blockchain, establishing historical provenance for a cinematic AI body of work. Minting on Transient Labs ERC-721TL Listing on SuperRare

Chikai

21,488 views • 2 years ago

One of my students came in the office and said ‘I have an AI that seems to work’. And it proportionally decodes intent faster than your real finger 🥳😎🤪 FYI an EMG bracelet prototype is driving that hand and a super cool neural network trained only on 2 mins of data!👏 to Michi

One of my students came in the office and said ‘I have an AI that seems to work’. And it proportionally decodes intent faster than your real finger 🥳😎🤪 FYI an EMG bracelet prototype is driving that hand and a super cool neural network trained only on 2 mins of data!👏 to Michi

Alessandro Del Vecchio

10,650 views • 2 years ago

ELON: YOU CAN’T STOP AI, YOU CAN ONLY STEER IT Elon says the idea of slowing AI down eventually collapsed under reality. China wasn’t going to stop, and neither was the technology itself. After years of warning about the pace, he says he faced a choice. Watch from the sidelines, or get involved and try to shape the outcome. Participation, in his view, at least allows some influence over direction: “I previously advised that we slow it down, but that’s pointless. You can’t. China is not going to slow down. I said that for many years, and then I finally came to the conclusion I can either be a spectator or a participant. I can’t stop it. So if I’m a participant, I can try to steer it in a good direction. My number one belief for the safety of AI is to be maximally truth-seeking. Don’t make AI believe things that are false. You can’t tell it axiom A and axiom B are both true if they can’t be.” Source: X Freeze Peter H. Diamandis, MD

ELON: YOU CAN’T STOP AI, YOU CAN ONLY STEER IT Elon says the idea of slowing AI down eventually collapsed under reality. China wasn’t going to stop, and neither was the technology itself. After years of warning about the pace, he says he faced a choice. Watch from the sidelines, or get involved and try to shape the outcome. Participation, in his view, at least allows some influence over direction: “I previously advised that we slow it down, but that’s pointless. You can’t. China is not going to slow down. I said that for many years, and then I finally came to the conclusion I can either be a spectator or a participant. I can’t stop it. So if I’m a participant, I can try to steer it in a good direction. My number one belief for the safety of AI is to be maximally truth-seeking. Don’t make AI believe things that are false. You can’t tell it axiom A and axiom B are both true if they can’t be.” Source: X Freeze Peter H. Diamandis, MD

Mario Nawfal

59,310 views • 6 months ago

Ilya Sutskever explains why AI will do 100% the work that human can do within few years. "Slowly but surely, or maybe not so slowly, AI will keep getting better. The day will come when AI will do all of our, all the things that we can do, not just some of them, but all of them. Anything which I can learn, anything which any one of you can learn, the AI could do as well. How do we know this, by the way? How can I be so sure? How can I be so sure of that? The reason is that all of us have a brain, and the brain is a biological computer. That's why we have a brain; the brain is a biological computer. So why can't the digital computer, a digital brain, do the same things? This is the one-sentence summary for why AI will be able to do all those things: because we have a brain, and the brain is a biological computer." --- Full Video on 'University of Toronto' YT Channel (link in comment)

Ilya Sutskever explains why AI will do 100% the work that human can do within few years. "Slowly but surely, or maybe not so slowly, AI will keep getting better. The day will come when AI will do all of our, all the things that we can do, not just some of them, but all of them. Anything which I can learn, anything which any one of you can learn, the AI could do as well. How do we know this, by the way? How can I be so sure? How can I be so sure of that? The reason is that all of us have a brain, and the brain is a biological computer. That's why we have a brain; the brain is a biological computer. So why can't the digital computer, a digital brain, do the same things? This is the one-sentence summary for why AI will be able to do all those things: because we have a brain, and the brain is a biological computer." --- Full Video on 'University of Toronto' YT Channel (link in comment)

Rohan Paul

334,691 views • 10 months ago

More moves to AI-first living. Got the Genspark browser that just came out. One thing I notice is that I like having separate browsers working on different tasks. I'm not a big user of MCPs, since I'm not really a developer. Are you? They have a store of a bunch of MCPs available to use. Most of my AI work is research related, or answering emails and scheduling things, I'm focusing more of my effort there. Genspark has been shipping a ton of stuff the past few weeks, from ability to make slides to a new AI secretary that can schedule things, or help you answer your emails. First I looked at, "does it make sense to move over to this new way of working?" The problem with that is you gotta learn a new browser. Well, it looks like Google Chrome, except it has a prompt window. Click the icons underneath it and you will see you can add X, Notion, Google stuff like calendar and gmail, or a variety of others. But the real power is just talking to it. I asked it what kinds of tasks it can do, and it answered: "Just tell me what you want to accomplish! For example: "Research the latest developments in spatial computing and create a presentation" "Analyze my Gmail for any important emails from this week" "Find information about AI robotics companies and create a spreadsheet" "Generate a video about emerging tech trends" "Help me plan a trip to CES 2026" And so further into AI-first living I go. Have you tried it yet? What do you suggest I do next to use more AI to run my life and build my business? I have another browser tab building a video for me. What a beautiful time to be alive. Download it at:

More moves to AI-first living. Got the Genspark browser that just came out. One thing I notice is that I like having separate browsers working on different tasks. I'm not a big user of MCPs, since I'm not really a developer. Are you? They have a store of a bunch of MCPs available to use. Most of my AI work is research related, or answering emails and scheduling things, I'm focusing more of my effort there. Genspark has been shipping a ton of stuff the past few weeks, from ability to make slides to a new AI secretary that can schedule things, or help you answer your emails. First I looked at, "does it make sense to move over to this new way of working?" The problem with that is you gotta learn a new browser. Well, it looks like Google Chrome, except it has a prompt window. Click the icons underneath it and you will see you can add X, Notion, Google stuff like calendar and gmail, or a variety of others. But the real power is just talking to it. I asked it what kinds of tasks it can do, and it answered: "Just tell me what you want to accomplish! For example: "Research the latest developments in spatial computing and create a presentation" "Analyze my Gmail for any important emails from this week" "Find information about AI robotics companies and create a spreadsheet" "Generate a video about emerging tech trends" "Help me plan a trip to CES 2026" And so further into AI-first living I go. Have you tried it yet? What do you suggest I do next to use more AI to run my life and build my business? I have another browser tab building a video for me. What a beautiful time to be alive. Download it at:

Robert Scoble

84,349 views • 1 year ago

Q: Recently, with phenomena like AI face-swapping and AI voice cloning impacting the entire film and television industry—including infringing on actors’ personal rights—what are your thoughts on this? A: I think AI itself is a tool. Every industry needs the right tools, and there’s nothing wrong with that. The key lies in how we use it. It can definitely assist with things like post-production, improving efficiency, and reducing costs. But when it comes to acting, I don’t think it should become a substitute. AI can imitate an actor’s face and voice very closely, but when it comes to performing a scene—the mindset, the soul, the creative intention behind it—those things can’t be replicated. Even the imperfections in an actor’s performance—because of repeated takes, there’s always that one unique moment where everything aligns just right. That kind of timing and spontaneity can’t be recreated. It’s something given by chance. And those instincts—maybe in that moment, my performance wasn’t perfectly polished, maybe it had rough edges—but that’s exactly what can make it more vivid and alive. For a perfectly structured AI program, it’s very difficult to reproduce that kind of authenticity. His answer is intelligent, composed, and full of depth. His EQ is on another level, and it shows in how thoughtfully he responds to complex issues #TanJianci

Q: Recently, with phenomena like AI face-swapping and AI voice cloning impacting the entire film and television industry—including infringing on actors’ personal rights—what are your thoughts on this? A: I think AI itself is a tool. Every industry needs the right tools, and there’s nothing wrong with that. The key lies in how we use it. It can definitely assist with things like post-production, improving efficiency, and reducing costs. But when it comes to acting, I don’t think it should become a substitute. AI can imitate an actor’s face and voice very closely, but when it comes to performing a scene—the mindset, the soul, the creative intention behind it—those things can’t be replicated. Even the imperfections in an actor’s performance—because of repeated takes, there’s always that one unique moment where everything aligns just right. That kind of timing and spontaneity can’t be recreated. It’s something given by chance. And those instincts—maybe in that moment, my performance wasn’t perfectly polished, maybe it had rough edges—but that’s exactly what can make it more vivid and alive. For a perfectly structured AI program, it’s very difficult to reproduce that kind of authenticity. His answer is intelligent, composed, and full of depth. His EQ is on another level, and it shows in how thoughtfully he responds to complex issues #TanJianci

aleen

10,643 views • 3 months ago

Sam Altman on GPT 5: "This morning I was testing our new model and I got a question. I got emailed a question that I didn't quite understand. And I put it in the model, this is GPT-5, and it answered it perfectly. And I really kind of sat back in my chair and I was just like, oh man, here it is moment... I felt like useless relative to the AI in this thing that I felt like I should have been able to do and I couldn't. It was really hard. But the AI just did it like that. It was a weird feeling."

Sam Altman on GPT 5: "This morning I was testing our new model and I got a question. I got emailed a question that I didn't quite understand. And I put it in the model, this is GPT-5, and it answered it perfectly. And I really kind of sat back in my chair and I was just like, oh man, here it is moment... I felt like useless relative to the AI in this thing that I felt like I should have been able to do and I couldn't. It was really hard. But the AI just did it like that. It was a weird feeling."

Chris

5,664,811 views • 1 year ago

Elon Musk: The only way to solve full self-driving properly is to solve real-world AI. ”What are the road networks designed to work with? They're designed to work with a biological neural net, our brains, and with vision, our eyes. And so, in order to make it work with computers, you basically need to solve real-world AI and vision. We need cameras and silicon neural nets in order to have self-driving work for a system that was designed for eyes and biological neural nets. I guess when you put it that way, it's quite obvious that the only way to solve full self-driving is to solve real-world AI and sophisticated vision.” TED Interview, April 14, 2022

Elon Musk: The only way to solve full self-driving properly is to solve real-world AI. ”What are the road networks designed to work with? They're designed to work with a biological neural net, our brains, and with vision, our eyes. And so, in order to make it work with computers, you basically need to solve real-world AI and vision. We need cameras and silicon neural nets in order to have self-driving work for a system that was designed for eyes and biological neural nets. I guess when you put it that way, it's quite obvious that the only way to solve full self-driving is to solve real-world AI and sophisticated vision.” TED Interview, April 14, 2022

ELON CLIPS

20,411 views • 1 year ago

Elon Musk: “In order to solve full self-driving properly, you have to solve real-world AI. The road networks are designed to work with a biological neural net — our brains — and with vision — our eyes. So, in order to make it work with computers, you need to solve real-world AI and vision. We need cameras and silicon neural nets for self-driving to work in a system designed for eyes and biological neural nets. When you put it that way, it’s quite obvious that the only way to solve full self-driving is to solve real-world AI and sophisticated vision.”

Elon Musk: “In order to solve full self-driving properly, you have to solve real-world AI. The road networks are designed to work with a biological neural net — our brains — and with vision — our eyes. So, in order to make it work with computers, you need to solve real-world AI and vision. We need cameras and silicon neural nets for self-driving to work in a system designed for eyes and biological neural nets. When you put it that way, it’s quite obvious that the only way to solve full self-driving is to solve real-world AI and sophisticated vision.”

Elonogy

14,331 views • 1 month ago

.David Deutsch: "What's currently called AI and AGI are not only different from each other, they are very close to being the exact opposites of each other. The reason is that an AI, current AI is like an AI that diagnoses diseases or an AI that plays chess or an AI that controls a huge factory. Those things have objective functions, that is they have a function that they are designed to maximize and that is why they are used in those particular applications. Or in military terms, you could say the objective is to hit the target. You might say the objective is to hit the target unless some thing specified, but it's a specified thing comes up in which case don't hit the target and so on. This is, as I said, almost the opposite of what humans do when humans think. For a start, the AI has to be obedient, that is it has to actually do the things it is programmed to do, whereas a human is fundamentally disobedient, especially when being creative. When a human plays chess, they are performing a completely different kind of computation. They don't do the same things, they don't investigate the same possibilities that the artificial chess playing machine does, because the artificial one is capable of looking at billions and billions of possibilities, whereas the human can only look at hundreds or something. They are doing something completely different. Another difference is that the human can explain, can write a book later, having become world champion, can write a book saying how I did it, as the computer program that beats the world champion can write no such book, because it has no idea how it did it. It was just following a program. I was doing this and that and that and none of that is illuminating. Also, third thing, the chess player can decide I don't want to play chess anymore, from now on I will play Go or from now on I will play tennis. If commanded to play chess, the functionality will deteriorate completely. Those things are different. What we want in an AGI is that it behaves in a way that cannot be specified in advance, because if you specified it, you would already have the answer. The AGI program has to give unexpected answers, answers to questions we didn't even know how to ask."

.David Deutsch: "What's currently called AI and AGI are not only different from each other, they are very close to being the exact opposites of each other. The reason is that an AI, current AI is like an AI that diagnoses diseases or an AI that plays chess or an AI that controls a huge factory. Those things have objective functions, that is they have a function that they are designed to maximize and that is why they are used in those particular applications. Or in military terms, you could say the objective is to hit the target. You might say the objective is to hit the target unless some thing specified, but it's a specified thing comes up in which case don't hit the target and so on. This is, as I said, almost the opposite of what humans do when humans think. For a start, the AI has to be obedient, that is it has to actually do the things it is programmed to do, whereas a human is fundamentally disobedient, especially when being creative. When a human plays chess, they are performing a completely different kind of computation. They don't do the same things, they don't investigate the same possibilities that the artificial chess playing machine does, because the artificial one is capable of looking at billions and billions of possibilities, whereas the human can only look at hundreds or something. They are doing something completely different. Another difference is that the human can explain, can write a book later, having become world champion, can write a book saying how I did it, as the computer program that beats the world champion can write no such book, because it has no idea how it did it. It was just following a program. I was doing this and that and that and none of that is illuminating. Also, third thing, the chess player can decide I don't want to play chess anymore, from now on I will play Go or from now on I will play tennis. If commanded to play chess, the functionality will deteriorate completely. Those things are different. What we want in an AGI is that it behaves in a way that cannot be specified in advance, because if you specified it, you would already have the answer. The AGI program has to give unexpected answers, answers to questions we didn't even know how to ask."

Deutsch Explains

72,455 views • 1 year ago

Jazmyn Nyx on why she left WWE. “I truthfully can say I was not expecting to leave. I wholeheartedly felt like this was going to be my life. I was ready to put in the work and see where my journey took me.” “For me it was like, after my three years and being on TV for two years, I expected there to be some sort of compensation just for the work that I put in. And it didn’t end up that way, and that’s okay. It was just okay, I can’t make a living on this.”

Jazmyn Nyx on why she left WWE. “I truthfully can say I was not expecting to leave. I wholeheartedly felt like this was going to be my life. I was ready to put in the work and see where my journey took me.” “For me it was like, after my three years and being on TV for two years, I expected there to be some sort of compensation just for the work that I put in. And it didn’t end up that way, and that’s okay. It was just okay, I can’t make a living on this.”

wrestlescripts 📝

348,498 views • 1 month ago

It was a moment to hold in my soul, not just a series of images. And to my children, I said every time you see me touch my heart it is also for you. It is from parenthood and childhood that this moment comes. We cannot have another generation of this violence and this injustice. We must do the hard work for it to end. #PermanentCeasefire #CeasefireNow

It was a moment to hold in my soul, not just a series of images. And to my children, I said every time you see me touch my heart it is also for you. It is from parenthood and childhood that this moment comes. We cannot have another generation of this violence and this injustice. We must do the hard work for it to end. #PermanentCeasefire #CeasefireNow

Khalid Abdalla

456,556 views • 2 years ago

ELON: TO SOLVE FULL SELF-DRIVING, YOU NEED TO SOLVE REAL-WORLD AI "What are the road networks designed to work with? They're designed to work with a biological neural net, our brains, and with vision, our eyes. And so, in order to make it work with computers, you basically need to solve real-world AI and vision. We need cameras and silicon neural nets in order to have self-driving work for a system that was designed for eyes and biological neural nets. I guess when you put it that way, it's quite obvious that the only way to solve full self-driving is to solve real-world AI and sophisticated vision." Source: Elon Musk TED Interview, April 2022

ELON: TO SOLVE FULL SELF-DRIVING, YOU NEED TO SOLVE REAL-WORLD AI "What are the road networks designed to work with? They're designed to work with a biological neural net, our brains, and with vision, our eyes. And so, in order to make it work with computers, you basically need to solve real-world AI and vision. We need cameras and silicon neural nets in order to have self-driving work for a system that was designed for eyes and biological neural nets. I guess when you put it that way, it's quite obvious that the only way to solve full self-driving is to solve real-world AI and sophisticated vision." Source: Elon Musk TED Interview, April 2022

Mario Nawfal

56,936 views • 1 year ago

This is very true. AI integration is both hard and necessary for companies. And AI-native junior employees can drive this adoption. Earlier this year Aaron Levie explained with martin_casado on the a16z podcast how AI fluency is one of the most powerful skills a new grad can have. The real value comes from knowing how to make AI work inside an organization. Most companies, both large and small, are slow to adopt new technology. They need people who can explain what AI can do, show them how to use it, and help them move faster. If you are fluent in AI, you can be that person. You can walk into a company, spot the areas where AI can save time or create new opportunities, and make it happen. That is a wedge into your first job and a way to stand out from everyone else.

This is very true. AI integration is both hard and necessary for companies. And AI-native junior employees can drive this adoption. Earlier this year Aaron Levie explained with martin_casado on the a16z podcast how AI fluency is one of the most powerful skills a new grad can have. The real value comes from knowing how to make AI work inside an organization. Most companies, both large and small, are slow to adopt new technology. They need people who can explain what AI can do, show them how to use it, and help them move faster. If you are fluent in AI, you can be that person. You can walk into a company, spot the areas where AI can save time or create new opportunities, and make it happen. That is a wedge into your first job and a way to stand out from everyone else.

a16z

366,027 views • 11 months ago

Alexia talks about the moment of her return to Barça: “He (Xavi Llorens) asked if I’d go back to live in Barcelona, close to my family and said the team doors were open to me and he thought I could do great things at the club and he pleaded with me to consider. It surprised me, in what was a tough time for me and my family, it was like a means of escape and salvation for me.” It was exciting, it was a feeling of I can’t believe this!” Via UEFA TV

Alexia talks about the moment of her return to Barça: “He (Xavi Llorens) asked if I’d go back to live in Barcelona, close to my family and said the team doors were open to me and he thought I could do great things at the club and he pleaded with me to consider. It surprised me, in what was a tough time for me and my family, it was like a means of escape and salvation for me.” It was exciting, it was a feeling of I can’t believe this!” Via UEFA TV

Team Alexia Putellas

24,464 views • 2 months ago

AI agents are already here. But trust? Still a work in progress. Billions is building the foundation for a world where humans and agents can interact and work with trust. Watch our CEO & Co-founder, Evin, break it down 🎤

AI agents are already here. But trust? Still a work in progress. Billions is building the foundation for a world where humans and agents can interact and work with trust. Watch our CEO & Co-founder, Evin, break it down 🎤

Billions

23,379 views • 1 year ago

There's a very small YouTube channel that uses stock footage and narration, where the voice seems to be AI trained on my voice. I was told about it from one of my viewers that said when he started watching this channel he realized it was my voice, but with AI. It for sure doesn't sound perfect, and it still has that "AI" sound to it, but this stuff is going to get a lot more convincing really soon. There's not really any tools to deal with this currently, as there's no reporting system, and it's not an exact copy because the narration is different. But I feel like this may become a much bigger problem for YouTube in the future. They are going to have to adapt their copyright system to include AI voice and video copies of people under impersonation.

There's a very small YouTube channel that uses stock footage and narration, where the voice seems to be AI trained on my voice. I was told about it from one of my viewers that said when he started watching this channel he realized it was my voice, but with AI. It for sure doesn't sound perfect, and it still has that "AI" sound to it, but this stuff is going to get a lot more convincing really soon. There's not really any tools to deal with this currently, as there's no reporting system, and it's not an exact copy because the narration is different. But I feel like this may become a much bigger problem for YouTube in the future. They are going to have to adapt their copyright system to include AI voice and video copies of people under impersonation.

Joseph Carlson

46,024 views • 1 year ago

I taught my dad how to use AI and things got out of hand... If he can do it, so can you! Follow these easy steps and you’ll have it set up in 10 minutes 🧵👇

I taught my dad how to use AI and things got out of hand... If he can do it, so can you! Follow these easy steps and you’ll have it set up in 10 minutes 🧵👇

TechHalla

570,404 views • 1 year ago

Ken Griffin, founder of Citadel, the most profitable hedge fund in history, on the moment that left him "shocked and depressed" about AI: "one of our team members built an agentic AI system to recreate academic papers in finance." "we have a legion of young masters and PhDs doing this work. it takes roughly six to eight weeks to reproduce a paper." "my colleague built an AI system that would read a paper, reproduce it, verify the results, produce the results on out of sample data — in about two to three hours per paper." "this is not just a white collar job. this is a master's or PhD-level job. six weeks of work turned into two to three hours." "and then OpenAI just solved a math problem that no one had solved for eighty years." "competitive moats are being filled in at lightning speed." the founder of Citadel watching PhD-level work get compressed from six weeks to two hours. and his response wasn't to cut headcount, it was "i will take every single productivity gain i can get because with the talented people we have, we just have more to go after."

Ken Griffin, founder of Citadel, the most profitable hedge fund in history, on the moment that left him "shocked and depressed" about AI: "one of our team members built an agentic AI system to recreate academic papers in finance." "we have a legion of young masters and PhDs doing this work. it takes roughly six to eight weeks to reproduce a paper." "my colleague built an AI system that would read a paper, reproduce it, verify the results, produce the results on out of sample data — in about two to three hours per paper." "this is not just a white collar job. this is a master's or PhD-level job. six weeks of work turned into two to three hours." "and then OpenAI just solved a math problem that no one had solved for eighty years." "competitive moats are being filled in at lightning speed." the founder of Citadel watching PhD-level work get compressed from six weeks to two hours. and his response wasn't to cut headcount, it was "i will take every single productivity gain i can get because with the talented people we have, we just have more to go after."

Goshawk Trades

183,828 views • 19 days ago