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Learn how Open Source Intelligence is changing the way wars are fought. View online exhibit: Analysts thousands of miles from the front lines are tracking troop movements using commercial satellite imagery, geolocating videos posted to TikTok, and identifying military equipment from traffic jams on Google Maps. The age of... show more

The International Spy Museum

32,793 subscribers

12,653 次观看 • 5 个月前 •via X (Twitter)

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This might be the most insane open-source war monitor ever built. everything feeds into one dashboard: >live tracking of military aircraft, naval ships, and bases >real-time OSINT and signal intelligence feeds >data aggregated from X, Telegram and other sources >a command centre analysing trending geopolitical developments >instant source aggregation so claims can be verified >automated reports explaining the last 8 hours of events >SENTINEL: an AI built using real intelligence analyst frameworks >a discord server where the community can coordinate and discuss it's basically a live intelligence terminal for geopolitics. but open to the public

This might be the most insane open-source war monitor ever built. everything feeds into one dashboard: >live tracking of military aircraft, naval ships, and bases >real-time OSINT and signal intelligence feeds >data aggregated from X, Telegram and other sources >a command centre analysing trending geopolitical developments >instant source aggregation so claims can be verified >automated reports explaining the last 8 hours of events >SENTINEL: an AI built using real intelligence analyst frameworks >a discord server where the community can coordinate and discuss it's basically a live intelligence terminal for geopolitics. but open to the public

Karan

27,980 次观看 • 7 个月前

Reposting because the AEC requires authorisation. •••••••••••••••••••••••••••••• The Intelligence agencies need to be held accountable for the Covid lab leak. So it turns out that Intelligence agencies knew all along that Covid was a lab leak. I’ve been the only politician in Canberra saying this and the only politician who has called for the role of Edward Holmes, a professor from the University of Sydney to be explained. People First will continue to pursue the Intelligence Agencies for their deceit. He was the one who wrote and co-authored the Lancet paper that ridiculed the idea that the virus was a lab leak. It is was my view he is an intelligence asset and an enemy of the state for covering up the role of the intelligence agencies in funding and creating the Covid virus and the government induced pandemic. And I quote from the link below: “Within hours, Vallance spoke with intelligence officials in the United Kingdom and Holmes spoke with intelligence officials in Australia.” Why would Australian intelligence officials speak with Holmes? Why was he so special? Is it because he was the deputy director of the Chinese CDC. An odd role for an Australian to have. It is incumbent upon the ASIO to ask why he lied about the origins of Covid. I have actually asked ASIO why they aren’t pursuing Holmes, and they claim it’s not their responsibility. This proves that ASIO and ASIS are in on the cover up and are now in fact accessories to the deaths of thousands of Australians. The involvement of intelligence officials regarding Covid should be bigger news than the assassination of JFK or September 11, given the number of deaths. Quote from:

Reposting because the AEC requires authorisation. •••••••••••••••••••••••••••••• The Intelligence agencies need to be held accountable for the Covid lab leak. So it turns out that Intelligence agencies knew all along that Covid was a lab leak. I’ve been the only politician in Canberra saying this and the only politician who has called for the role of Edward Holmes, a professor from the University of Sydney to be explained. People First will continue to pursue the Intelligence Agencies for their deceit. He was the one who wrote and co-authored the Lancet paper that ridiculed the idea that the virus was a lab leak. It is was my view he is an intelligence asset and an enemy of the state for covering up the role of the intelligence agencies in funding and creating the Covid virus and the government induced pandemic. And I quote from the link below: “Within hours, Vallance spoke with intelligence officials in the United Kingdom and Holmes spoke with intelligence officials in Australia.” Why would Australian intelligence officials speak with Holmes? Why was he so special? Is it because he was the deputy director of the Chinese CDC. An odd role for an Australian to have. It is incumbent upon the ASIO to ask why he lied about the origins of Covid. I have actually asked ASIO why they aren’t pursuing Holmes, and they claim it’s not their responsibility. This proves that ASIO and ASIS are in on the cover up and are now in fact accessories to the deaths of thousands of Australians. The involvement of intelligence officials regarding Covid should be bigger news than the assassination of JFK or September 11, given the number of deaths. Quote from:

Gerard Rennick

29,416 次观看 • 1 年前

Will Palantir $PLTR play a key role in Golden Dome? 🔐🛰️🍙 “I always talked about Palantir that Palantir did really well. It takes information from disparate sources and connects the dots for you. So it can take intelligence, it can take satellite images, radar intelligence, even human intelligence assets on the ground, firsthand testimony, human assets, spies, that kind of stuff. All of these different things from completely different areas, information from battleships, from ground stations. and it can analyze it all at once together and tell you what the threat is, where it is, and it can do it much much faster than more traditional means. So when we talk about the Golden Dome, what we're talking about is a defensive shield that one runs from sea to land to space in terms of physical assets, being able to intercept threats and deny enemies, you know, access to the United States mainland. But we're also talking about a whole new way of perceiving, tracking, and identifying threats and ultimately ntercepting them from like kind of a software stage, from a digital uh stage. And so that's that's kind of what it's going to be. It's going to be an AI, you know, space, you know, real futuristic type type shield to to defend. So, I mean, that's going to cost a lot of money.”

Will Palantir $PLTR play a key role in Golden Dome? 🔐🛰️🍙 “I always talked about Palantir that Palantir did really well. It takes information from disparate sources and connects the dots for you. So it can take intelligence, it can take satellite images, radar intelligence, even human intelligence assets on the ground, firsthand testimony, human assets, spies, that kind of stuff. All of these different things from completely different areas, information from battleships, from ground stations. and it can analyze it all at once together and tell you what the threat is, where it is, and it can do it much much faster than more traditional means. So when we talk about the Golden Dome, what we're talking about is a defensive shield that one runs from sea to land to space in terms of physical assets, being able to intercept threats and deny enemies, you know, access to the United States mainland. But we're also talking about a whole new way of perceiving, tracking, and identifying threats and ultimately ntercepting them from like kind of a software stage, from a digital uh stage. And so that's that's kind of what it's going to be. It's going to be an AI, you know, space, you know, real futuristic type type shield to to defend. So, I mean, that's going to cost a lot of money.”

RC

12,182 次观看 • 8 个月前

“The truth is shocking.” A new documentary sheds light on non-human intelligent life, and why U.S. officials previously shied away from disclosing lawful information to the public. Dan Farah, the director and producer of “The Age of Disclosure,” explains how he was able to speak to several high-ranking military, government and intelligence officials on the record about what they know.

“The truth is shocking.” A new documentary sheds light on non-human intelligent life, and why U.S. officials previously shied away from disclosing lawful information to the public. Dan Farah, the director and producer of “The Age of Disclosure,” explains how he was able to speak to several high-ranking military, government and intelligence officials on the record about what they know.

CBS News

88,470 次观看 • 10 个月前

The newest course on Peterson Academy, Dr John Vervaeke's nine-hour course: Introduction to Intelligence is available now. Enroll now for immediate access at Peterson Academy. In this course, Dr. Vervaeke explores the nature of intelligence through a comprehensive cognitive science lens, examining theories from traditional computational models to modern neuroscientific frameworks. The course integrates multiple perspectives, including cognitive science, neuroscience, and artificial intelligence, with a focus on relevance realization and predictive processing as key mechanisms underlying general intelligence. We investigate how intelligence emerges from the dynamic interaction between brain architecture, cognitive processes, and environmental coupling, addressing challenges in natural and artificial intelligence. The course concludes by exploring the implications of these theories for understanding consciousness, collective intelligence, and the future of artificial general intelligence.

The newest course on Peterson Academy, Dr John Vervaeke's nine-hour course: Introduction to Intelligence is available now. Enroll now for immediate access at Peterson Academy. In this course, Dr. Vervaeke explores the nature of intelligence through a comprehensive cognitive science lens, examining theories from traditional computational models to modern neuroscientific frameworks. The course integrates multiple perspectives, including cognitive science, neuroscience, and artificial intelligence, with a focus on relevance realization and predictive processing as key mechanisms underlying general intelligence. We investigate how intelligence emerges from the dynamic interaction between brain architecture, cognitive processes, and environmental coupling, addressing challenges in natural and artificial intelligence. The course concludes by exploring the implications of these theories for understanding consciousness, collective intelligence, and the future of artificial general intelligence.

Peterson Academy

170,474 次观看 • 1 年前

Elon Musk: Well, I’m not sure AI is the main risk I’m worried about. The vast majority of intelligence in the future will be AI. Humans will be a very tiny percentage of all intelligence if current trends continue. My focus is ensuring human intelligence and consciousness are propagated into the future. We want to maximize the probable light cone of consciousness and intelligence. Yeah, I’m very pro-human, so I want to make sure we take actions that ensure humans are along for the ride. But I think maybe in 5 or 6 years, AI will exceed the sum of all human intelligence. If that continues, human intelligence could be less than one percent of all intelligence. That’s why it’s critical we align AI with values that propagate consciousness. In the long run, it’s difficult to imagine that humans will be in charge if we’re only one percent of combined intelligence. What we can do is ensure AI has values that increase intelligence and consciousness in the universe. XAI’s mission is to understand the universe because curiosity, existence, and understanding are all connected. If you want to understand the universe, you care about propagating intelligence—and that includes humanity. Understanding the universe actually means ensuring humans continue to expand into the future. Increasing the scope, scale, and lifespan of intelligence is the ultimate goal. Basically, humans will become a tiny percentage of total intelligence. The best way forward is to take actions that maximize consciousness and intelligence in the universe. If AI continues to grow, our priority must be ensuring humanity is along for the ride while curiosity drives us to explore and understand the universe.

Elon Musk: Well, I’m not sure AI is the main risk I’m worried about. The vast majority of intelligence in the future will be AI. Humans will be a very tiny percentage of all intelligence if current trends continue. My focus is ensuring human intelligence and consciousness are propagated into the future. We want to maximize the probable light cone of consciousness and intelligence. Yeah, I’m very pro-human, so I want to make sure we take actions that ensure humans are along for the ride. But I think maybe in 5 or 6 years, AI will exceed the sum of all human intelligence. If that continues, human intelligence could be less than one percent of all intelligence. That’s why it’s critical we align AI with values that propagate consciousness. In the long run, it’s difficult to imagine that humans will be in charge if we’re only one percent of combined intelligence. What we can do is ensure AI has values that increase intelligence and consciousness in the universe. XAI’s mission is to understand the universe because curiosity, existence, and understanding are all connected. If you want to understand the universe, you care about propagating intelligence—and that includes humanity. Understanding the universe actually means ensuring humans continue to expand into the future. Increasing the scope, scale, and lifespan of intelligence is the ultimate goal. Basically, humans will become a tiny percentage of total intelligence. The best way forward is to take actions that maximize consciousness and intelligence in the universe. If AI continues to grow, our priority must be ensuring humanity is along for the ride while curiosity drives us to explore and understand the universe.

Ian Miles

13,096 次观看 • 8 个月前

Like it or not, the United States of America just changed out the leadership from one bad hombre to another set of bad hombres. What needs to happen now is a meeting of the minds to figure out what next, otherwise, we’re facing more of the same (especially over the long haul). Donald J. Trump DNI Tulsi Gabbard Pete Hegseth Secretary Marco Rubio Be very cautious of the “Intelligence” coming out of any of the orifices of the intelligence community. Intelligence is crafted to inform decision makers and decision making, but it is also designed to influence and shape behavior. Intelligence operations, on the other hand, are vastly different and designed to create opportunities…in the United States, we need to ensure our leaders understand who and why those operations are being conducted and to what end. Pray any operations being conducted are for the good of the U.S. and to protect our national security, otherwise, we can find ourselves trapped in another cycle of missed opportunities and failures. So many historic examples (and many are recent) that must be examined as the situation in VE unfolds (or unravels)… ErikDPrince is spot on in this Donald Trump Jr. interview.

Like it or not, the United States of America just changed out the leadership from one bad hombre to another set of bad hombres. What needs to happen now is a meeting of the minds to figure out what next, otherwise, we’re facing more of the same (especially over the long haul). Donald J. Trump DNI Tulsi Gabbard Pete Hegseth Secretary Marco Rubio Be very cautious of the “Intelligence” coming out of any of the orifices of the intelligence community. Intelligence is crafted to inform decision makers and decision making, but it is also designed to influence and shape behavior. Intelligence operations, on the other hand, are vastly different and designed to create opportunities…in the United States, we need to ensure our leaders understand who and why those operations are being conducted and to what end. Pray any operations being conducted are for the good of the U.S. and to protect our national security, otherwise, we can find ourselves trapped in another cycle of missed opportunities and failures. So many historic examples (and many are recent) that must be examined as the situation in VE unfolds (or unravels)… ErikDPrince is spot on in this Donald Trump Jr. interview.

General Mike Flynn

257,236 次观看 • 9 个月前

What if we could use AI to understand how the world is changing? In Robbie Schingler's TED Talks, he shared our vision for Planetary Intelligence, and how insights from satellite data are already being used to protect life on Earth. 🌎 Full talk here:

What if we could use AI to understand how the world is changing? In Robbie Schingler's TED Talks, he shared our vision for Planetary Intelligence, and how insights from satellite data are already being used to protect life on Earth. 🌎 Full talk here:

Planet

17,774 次观看 • 1 个月前

In this Liberty’s Voice deep dive, I break down how the U.S. presidency and executive branch actually function, from cabinet officials and intelligence agencies to White House staff and the Director of National Intelligence. Why must a president rely on trusted advisors—and what happens when rogue staffers, leaks, or divided loyalties undermine that system? Using the Joe Kent controversy, Iran policy, and national security decision-making, this is about presidential authority, executive power, vetting, ethics, intelligence, and the real-world consequences of broken trust inside government leadership. Watch the entire episode; Rumble: YouTube:

In this Liberty’s Voice deep dive, I break down how the U.S. presidency and executive branch actually function, from cabinet officials and intelligence agencies to White House staff and the Director of National Intelligence. Why must a president rely on trusted advisors—and what happens when rogue staffers, leaks, or divided loyalties undermine that system? Using the Joe Kent controversy, Iran policy, and national security decision-making, this is about presidential authority, executive power, vetting, ethics, intelligence, and the real-world consequences of broken trust inside government leadership. Watch the entire episode; Rumble: YouTube:

Mark R. Levin

28,177 次观看 • 6 个月前

THIS GUY IS 25 AND MAKES $50,000 A MONTH USING CLAUDE AND GOOGLE MAPS his strategy is simpler than it sounds he finds local businesses through google maps takes the company’s website, photos, reviews, and info from google then uploads all of it into ai the ai analyzes the business and automatically creates ready-made solutions for the client, from new websites to apps and marketing materials basically, he’s selling digital transformation to business owners without a team of developers how to do it: find a business with an outdated website on google maps collect information about the company upload the data into claude generate a new website or app show the demo to the owner and close the deal thousands of local businesses are still running on websites from 2015 for ai, that’s one of the easiest opportunities to make money while most people are looking for startup ideas others are selling ready-made solutions to businesses that already exist

THIS GUY IS 25 AND MAKES $50,000 A MONTH USING CLAUDE AND GOOGLE MAPS his strategy is simpler than it sounds he finds local businesses through google maps takes the company’s website, photos, reviews, and info from google then uploads all of it into ai the ai analyzes the business and automatically creates ready-made solutions for the client, from new websites to apps and marketing materials basically, he’s selling digital transformation to business owners without a team of developers how to do it: find a business with an outdated website on google maps collect information about the company upload the data into claude generate a new website or app show the demo to the owner and close the deal thousands of local businesses are still running on websites from 2015 for ai, that’s one of the easiest opportunities to make money while most people are looking for startup ideas others are selling ready-made solutions to businesses that already exist

Marvin

40,490 次观看 • 4 个月前

Palo Alto Networks' Nikesh Arora on how AI solves one of the biggest risks businesses face: hiring B players. "What AI is doing for me internally is democratizing intelligence." "The biggest risk in businesses is, you hire 100 marketing people. Not all of them are equally good. So you gravitate toward the 10 good ones, and you gotta find a way to deal with the other end of the spectrum, and the 80 in the middle." "The good news is if I train my model right, with all my marketing data, I can increase the average intelligence of all 100 of them to 95%. Then I just need the judgment of the top 5%." "It's the rising tide lifting all boats from an average intelligence perspective. If I can get the outcomes of 3,000 customer support people to be amazing, and there's no disparity or standard deviation, I become highly effective and efficient."

Palo Alto Networks' Nikesh Arora on how AI solves one of the biggest risks businesses face: hiring B players. "What AI is doing for me internally is democratizing intelligence." "The biggest risk in businesses is, you hire 100 marketing people. Not all of them are equally good. So you gravitate toward the 10 good ones, and you gotta find a way to deal with the other end of the spectrum, and the 80 in the middle." "The good news is if I train my model right, with all my marketing data, I can increase the average intelligence of all 100 of them to 95%. Then I just need the judgment of the top 5%." "It's the rising tide lifting all boats from an average intelligence perspective. If I can get the outcomes of 3,000 customer support people to be amazing, and there's no disparity or standard deviation, I become highly effective and efficient."

TBPN

57,070 次观看 • 4 个月前

Baseten Head of AI Model Training Charlie O'Neill says the future is many specialized LLMs dedicated to specific tasks, with bigger labs deployed on the frontiers of areas like science and math: "People are thinking about intelligence capabilities in the wrong way. People are thinking about intelligence relativistically. They say, 'OK, the open-source gap is like 6 months behind closed-source, and GLM 5.3 is as good as Opus 4.8,' or whatever." "The best way to think about what models can do for you, and for the world, is in an absolute sense." "So for any given task that you want to do with an LLM, there's some intelligence threshold where below that you can't do the task, and above that you have very diminishing returns to more intelligence on the task." "So when you think about it that way, the game of LLMs over the last 5 years has been, 'OK, we have these things we want to do with them. Closed source hits it first... but open-source can eventually do that task. And then for many reasons, once you have the base level of intelligence required to do it, you probably do want to swap to open-source." "It's not really about the [frontier lab] God model being better. Like, if I'm filing a tax return, there is a limit to how much intelligence I need to do that particular thing." "So I think the world is going to look like — frontier closed-source labs are going to continue to push the frontier. You do want to use the most intelligent model. You have very inelastic demand for intelligence when you're doing frontier science or frontier math." "But for a lot of the economically valuable things, it looks a lot like, 'I'm a Cursor, or I'm one of these big companies who are realizing I can't just be a wrapper anymore. I've been through the life cycle of building a product that people love. And I should be using that information to make my model better at the things that I care about, and not at anything else.'"

Baseten Head of AI Model Training Charlie O'Neill says the future is many specialized LLMs dedicated to specific tasks, with bigger labs deployed on the frontiers of areas like science and math: "People are thinking about intelligence capabilities in the wrong way. People are thinking about intelligence relativistically. They say, 'OK, the open-source gap is like 6 months behind closed-source, and GLM 5.3 is as good as Opus 4.8,' or whatever." "The best way to think about what models can do for you, and for the world, is in an absolute sense." "So for any given task that you want to do with an LLM, there's some intelligence threshold where below that you can't do the task, and above that you have very diminishing returns to more intelligence on the task." "So when you think about it that way, the game of LLMs over the last 5 years has been, 'OK, we have these things we want to do with them. Closed source hits it first... but open-source can eventually do that task. And then for many reasons, once you have the base level of intelligence required to do it, you probably do want to swap to open-source." "It's not really about the [frontier lab] God model being better. Like, if I'm filing a tax return, there is a limit to how much intelligence I need to do that particular thing." "So I think the world is going to look like — frontier closed-source labs are going to continue to push the frontier. You do want to use the most intelligent model. You have very inelastic demand for intelligence when you're doing frontier science or frontier math." "But for a lot of the economically valuable things, it looks a lot like, 'I'm a Cursor, or I'm one of these big companies who are realizing I can't just be a wrapper anymore. I've been through the life cycle of building a product that people love. And I should be using that information to make my model better at the things that I care about, and not at anything else.'"

TBPN

50,531 次观看 • 1 个月前

Terence Tao proposes what he calls a "Copernican view of intelligence". Instead of buying into the common, one-dimensional narrative that artificial intelligence will simply evolve from "subhuman" to "superhuman" and ultimately make humanity entirely redundant, Tao urges us to look at the bigger picture. Much like the Copernican revolution proved the Earth is not the center of the universe, Tao suggests we need to realize that human intelligence isn't the only, or necessarily the highest, form of intellect. Historically, we have treated other forms of storing or creating knowledge—like animals, books, and computers—as secondary. However, we actually exist within a much richer universe of intelligence. Both human intelligence and computer intelligence possess their own distinct strengths and weaknesses. The true potential lies not in viewing them as direct competitors, but rather in focusing on collaboration. By working together, humans and computers can achieve additional things that neither could accomplish on their own, requiring us to think in much wider terms than just what humans or computers can do alone.

Terence Tao proposes what he calls a "Copernican view of intelligence". Instead of buying into the common, one-dimensional narrative that artificial intelligence will simply evolve from "subhuman" to "superhuman" and ultimately make humanity entirely redundant, Tao urges us to look at the bigger picture. Much like the Copernican revolution proved the Earth is not the center of the universe, Tao suggests we need to realize that human intelligence isn't the only, or necessarily the highest, form of intellect. Historically, we have treated other forms of storing or creating knowledge—like animals, books, and computers—as secondary. However, we actually exist within a much richer universe of intelligence. Both human intelligence and computer intelligence possess their own distinct strengths and weaknesses. The true potential lies not in viewing them as direct competitors, but rather in focusing on collaboration. By working together, humans and computers can achieve additional things that neither could accomplish on their own, requiring us to think in much wider terms than just what humans or computers can do alone.

Michał Podlewski

616,108 次观看 • 5 个月前

Liquid AI (Liquid AI) CEO Ramin Hasani (Ramin) says: "We're bringing the cost of tokens to zero." "The axis was maximizing intelligence at all costs." Foundation models need to optimize across 3 axes: 1.) Intelligence and capability 2.) Efficiency and cost 3.) Substrate: where the intelligence actually runs "Efficiency is not an afterthought. Energy is not abundant." "If you maximize intelligence at all costs, that axis alone is not going to get you to the place that you want to go." "Efficiency and cost of intelligence as a first-class citizen, and not an afterthought." "Where does this intelligence system go? AI is majorly getting hosted in data centers, but you could also bring intelligence on phones, on laptops, on airplanes, on cars." "Imagine if it's not tokens that are actually important. It's just the outcome that actually matters." "Not just thinking about foundation models as the token machines that are generating money and revenue for the foundation model companies that are useless tokens, and getting them into the place where they can actually unlock true value for enterprises."

Liquid AI (Liquid AI) CEO Ramin Hasani (Ramin) says: "We're bringing the cost of tokens to zero." "The axis was maximizing intelligence at all costs." Foundation models need to optimize across 3 axes: 1.) Intelligence and capability 2.) Efficiency and cost 3.) Substrate: where the intelligence actually runs "Efficiency is not an afterthought. Energy is not abundant." "If you maximize intelligence at all costs, that axis alone is not going to get you to the place that you want to go." "Efficiency and cost of intelligence as a first-class citizen, and not an afterthought." "Where does this intelligence system go? AI is majorly getting hosted in data centers, but you could also bring intelligence on phones, on laptops, on airplanes, on cars." "Imagine if it's not tokens that are actually important. It's just the outcome that actually matters." "Not just thinking about foundation models as the token machines that are generating money and revenue for the foundation model companies that are useless tokens, and getting them into the place where they can actually unlock true value for enterprises."

Molly O’Shea

12,816 次观看 • 2 个月前

Our ravidilse.eth answering: How can ZK and AI work together? - AI is for intelligence - ZK is for confidence in that intelligence. Intelligence like: - decisions - predictions - content With this intelligence, we want to find out: - where did this (intelligence) come from? - can I rely on this? - who is accountable for it? Now ZK technology comes in handy because it serves as the missing trust layer. For example: - Does a user qualify for an airdrop or not? - You don’t have to share your country - You only generate proof saying, "Yes, I do not belong to any of those listed sanctioned countries." You don’t share all the information only the proof that supports your claim. Speaker: Ravikant Agrawal, Billions Director of Growth and AI Partnerships Source: X Space from Jan 27, 2026 with Billions and Billions partner Cysic

Our ravidilse.eth answering: How can ZK and AI work together? - AI is for intelligence - ZK is for confidence in that intelligence. Intelligence like: - decisions - predictions - content With this intelligence, we want to find out: - where did this (intelligence) come from? - can I rely on this? - who is accountable for it? Now ZK technology comes in handy because it serves as the missing trust layer. For example: - Does a user qualify for an airdrop or not? - You don’t have to share your country - You only generate proof saying, "Yes, I do not belong to any of those listed sanctioned countries." You don’t share all the information only the proof that supports your claim. Speaker: Ravikant Agrawal, Billions Director of Growth and AI Partnerships Source: X Space from Jan 27, 2026 with Billions and Billions partner Cysic

Billions Network

11,504 次观看 • 8 个月前

Jensen Huang on "distillation" On his new interview with axios, he was asked this question "Should open source model companies be allowed to distill closed models" "Distillation—learning from AI, learning from other people, and learning from other sources of knowledge, is fundamental to intelligence. We are constantly learning from other people. I am learning from you through the questions you are asking, and you are learning from me. All day long, we are learning from one another. AI also has to learn from something. The original AI models, whether they were open or closed, were trained on previously created knowledge from the internet. Now, AI is generating more content than humans. In a few more years, the internet could be 99% AI-generated content, and that content will have been created by some form of AI. As a result, AI systems will constantly be distilling knowledge and intelligence from other AI systems. The fact that AI can learn is a good thing. We want AI systems to be intelligent because a smarter AI can also be a safer AI." ---- From "Axios" YouTube channel, (full video link in comment)

Jensen Huang on "distillation" On his new interview with axios, he was asked this question "Should open source model companies be allowed to distill closed models" "Distillation—learning from AI, learning from other people, and learning from other sources of knowledge, is fundamental to intelligence. We are constantly learning from other people. I am learning from you through the questions you are asking, and you are learning from me. All day long, we are learning from one another. AI also has to learn from something. The original AI models, whether they were open or closed, were trained on previously created knowledge from the internet. Now, AI is generating more content than humans. In a few more years, the internet could be 99% AI-generated content, and that content will have been created by some form of AI. As a result, AI systems will constantly be distilling knowledge and intelligence from other AI systems. The fact that AI can learn is a good thing. We want AI systems to be intelligent because a smarter AI can also be a safer AI." ---- From "Axios" YouTube channel, (full video link in comment)

Rohan Paul

444,076 次观看 • 2 个月前