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In a conversation between CEO Dr. Ben Goertzel and Edward Edward Snowden, questions arise about how governments approach AI regulation and the growing centralization of AI development. Snowden noted that corporations often invoke AI safety in ways that can slow smaller startups. He argued that current regulations favor larger...

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The Beneficial AGI Summit returns this October in Istanbul, bringing together AI leaders, innovators, academics, and industry experts to guide the development of generally intelligent machines toward beneficial outcomes for humanity and all life on Earth.
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The Beneficial AGI Summit returns this October in Istanbul, bringing together AI leaders, innovators, academics, and industry experts to guide the development of generally intelligent machines toward beneficial outcomes for humanity and all life on Earth.

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Less Than 3 Days Remaining — $1.25M in Grants to Advance Decentralized Beneficial AGI Research and Development The AI Twin of our CEO Dr. Ben Goertzel, powered by Twin Protocol, invites AI developers and researchers to apply for our $1.25M in grants to advance decentralized, beneficial and benevolent AGI R&D via our OpenCog Hyperon architecture. The submission period closes on Sunday, December 8th, 2024, at noon UTC. Visit the Deep Funding portal to learn more and submit your proposals:

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THE TEN RECKONINGS OF AGI are ten critical, unanswered questions that will shape the future of humanity and our relationship with artificial intelligence, from narrow AI through human-level Artificial General Intelligence (AGI) to Superintelligence. This initiative builds on our new global study, which revealed in its first phase mounting public concern over AI governance. Initial findings from US-based respondents indicate that 48% believe advanced AI systems are being developed primarily by and for the benefit of a select few Big Tech corporations and governments, with insufficient public oversight and accountability. The data also shows that two-in-five (39%) Americans are worried that current AI development is not transparent and accountable to the public. The majority (54%) say they feel the direction of development is already out of our hands, and they lack control over the role AI will play in their lives over the next 5-10 years. CEO Dr. Ben Goertzel challenges this trajectory, advocating for open dialogue and interoperability among all AI actors to ensure that future developments serve humanity and other sentient beings. Starting next week, each of THE TEN RECKONINGS will be interrogated by Dr. Goertzel together with the world’s leading minds in AI, technology, philosophy, and ethics, with publicly available information for all to engage with the discussion. Follow THE TEN RECKONINGS on YouTube and subscribe to stay updated as each question is explored:
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THE TEN RECKONINGS OF AGI are ten critical, unanswered questions that will shape the future of humanity and our relationship with artificial intelligence, from narrow AI through human-level Artificial General Intelligence (AGI) to Superintelligence. This initiative builds on our new global study, which revealed in its first phase mounting public concern over AI governance. Initial findings from US-based respondents indicate that 48% believe advanced AI systems are being developed primarily by and for the benefit of a select few Big Tech corporations and governments, with insufficient public oversight and accountability. The data also shows that two-in-five (39%) Americans are worried that current AI development is not transparent and accountable to the public. The majority (54%) say they feel the direction of development is already out of our hands, and they lack control over the role AI will play in their lives over the next 5-10 years. CEO Dr. Ben Goertzel challenges this trajectory, advocating for open dialogue and interoperability among all AI actors to ensure that future developments serve humanity and other sentient beings. Starting next week, each of THE TEN RECKONINGS will be interrogated by Dr. Goertzel together with the world’s leading minds in AI, technology, philosophy, and ethics, with publicly available information for all to engage with the discussion. Follow THE TEN RECKONINGS on YouTube and subscribe to stay updated as each question is explored:

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28,020 просмотров • 1 год назад

Will the development and deployment of the first AGI be controlled by a select few major militaries and big tech companies? CEO Dr. Ben Goertzel discusses growing public concerns about AGI governance and how people are beginning to ask the right questions about the AI's future.
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Will the development and deployment of the first AGI be controlled by a select few major militaries and big tech companies? CEO Dr. Ben Goertzel discusses growing public concerns about AGI governance and how people are beginning to ask the right questions about the AI's future.

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18,813 просмотров • 1 год назад

As Big Tech companies continue channeling billions of research dollars and attention into developing and scaling LLMs, a fundamental question is emerging in tech circles: Are LLMs actually leading us away from true AGI? At a #Consensus2025 panel addressing whether Web3 is losing the AI race, our CEO, Dr. Ben Goertzel, challenged the conventional wisdom driving investment strategies at many leading AI companies and sovereign wealth funds, including the recent multi-billion-dollar investments from Saudi Arabia and the UAE in US AI infrastructure. "I would quote Yan LeCun, a pioneer of deep learning and the head of AI at Facebook, who said on the highway to AGI, LLMs are an off-ramp," Dr. Goertzel told attendees, rejecting the premise that Web3 approaches are falling behind centralized AI development: "If you've gotten off the off-ramp, it doesn't matter if you're going 1,000 miles an hour and the other guy's only going 300 miles an hour if they're going on the right highway to the destination." The panel, which featured Ben Fielding (Founder, Gensyn), Jesus Rodriguez (CEO, IntoTheBlock), Clara Tsao (Founding Officer, Filecoin Foundation), and Jeff Wilser (Founder and Host, The People's AI Podcast), revealed a stark divide in how industry experts view the future of decentralized AI. While other panelists pointed to Web3's current disadvantages in talent, datasets, and infrastructure, Dr. Goertzel addressed a deeper issue: the incremental improvement of LLMs is not a viable approach to achieving human-level AGI. However, "If scaling up transformer neural nets is the crux of how you get to AGI, it's hard to see how the US and Chinese governments and the Big Tech companies in their orbit don't win the race," Dr. Goertzel acknowledged, noting the immense capital these entities are deploying. Our AGI R&D efforts at SingularityNET suggest a different path forward. "My own research intuition is that LLMs are not suited to be the central hub of a human-level AGI, let alone a Superintelligence, although they can be a powerful ingredient in a hybrid architecture for AGI," Dr. Goertzel explained. Our team is developing OpenCog Hyperon, a "hybrid, deep neural net, symbolic reasoning, evolutionary learning, approach to AGI within more sophisticated cognitive architectures than LLMs comprise," as described by Dr. Goertzel. This cognition-level approach represents a fundamentally different direction from most mainstream AI development. Dr. Goertzel closed with a prediction that would have seemed outlandish just a few years ago but now reflects our growing confidence in decentralized approaches through which AGI will be in the hands of humanity at large and without a single owner or controller: "Within the Artificial Superintelligence Alliance, we will launch the first AGI within one to three years from now on a decentralized infrastructure, and Big Tech will play catchup."
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As Big Tech companies continue channeling billions of research dollars and attention into developing and scaling LLMs, a fundamental question is emerging in tech circles: Are LLMs actually leading us away from true AGI? At a #Consensus2025 panel addressing whether Web3 is losing the AI race, our CEO, Dr. Ben Goertzel, challenged the conventional wisdom driving investment strategies at many leading AI companies and sovereign wealth funds, including the recent multi-billion-dollar investments from Saudi Arabia and the UAE in US AI infrastructure. "I would quote Yan LeCun, a pioneer of deep learning and the head of AI at Facebook, who said on the highway to AGI, LLMs are an off-ramp," Dr. Goertzel told attendees, rejecting the premise that Web3 approaches are falling behind centralized AI development: "If you've gotten off the off-ramp, it doesn't matter if you're going 1,000 miles an hour and the other guy's only going 300 miles an hour if they're going on the right highway to the destination." The panel, which featured Ben Fielding (Founder, Gensyn), Jesus Rodriguez (CEO, IntoTheBlock), Clara Tsao (Founding Officer, Filecoin Foundation), and Jeff Wilser (Founder and Host, The People's AI Podcast), revealed a stark divide in how industry experts view the future of decentralized AI. While other panelists pointed to Web3's current disadvantages in talent, datasets, and infrastructure, Dr. Goertzel addressed a deeper issue: the incremental improvement of LLMs is not a viable approach to achieving human-level AGI. However, "If scaling up transformer neural nets is the crux of how you get to AGI, it's hard to see how the US and Chinese governments and the Big Tech companies in their orbit don't win the race," Dr. Goertzel acknowledged, noting the immense capital these entities are deploying. Our AGI R&D efforts at SingularityNET suggest a different path forward. "My own research intuition is that LLMs are not suited to be the central hub of a human-level AGI, let alone a Superintelligence, although they can be a powerful ingredient in a hybrid architecture for AGI," Dr. Goertzel explained. Our team is developing OpenCog Hyperon, a "hybrid, deep neural net, symbolic reasoning, evolutionary learning, approach to AGI within more sophisticated cognitive architectures than LLMs comprise," as described by Dr. Goertzel. This cognition-level approach represents a fundamentally different direction from most mainstream AI development. Dr. Goertzel closed with a prediction that would have seemed outlandish just a few years ago but now reflects our growing confidence in decentralized approaches through which AGI will be in the hands of humanity at large and without a single owner or controller: "Within the Artificial Superintelligence Alliance, we will launch the first AGI within one to three years from now on a decentralized infrastructure, and Big Tech will play catchup."

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We are offering $500,000 in grants for beneficial AI and AGI projects that demonstrate clear real-world impact, particularly in advancing social and environmental good. Learn more about the BGI Nexus funding round and how to apply at
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We are offering $500,000 in grants for beneficial AI and AGI projects that demonstrate clear real-world impact, particularly in advancing social and environmental good. Learn more about the BGI Nexus funding round and how to apply at

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Why are CEOs of AI companies privately warning about the extinction of humans? To understand that, I’m joined by someone who helped build the field… Stuart Russell is one of the world’s leading AI researchers. He co-wrote Artificial Intelligence*: ‘*A Modern Approach’ - the textbook used to train AI engineers in more than 1,500 universities. He has spent decades advising governments and global leaders on the safety and control of advanced AI. Right now, the people building the most powerful AI systems are raising alarms in private that they rarely voice in public. Some estimate up to a 25% chance that AI could lead to human extinction… Stuart has heard these conversations directly. He believes we’re in a race we don’t really understand, pushed by incentives no one is really controlling.

Steven Bartlett

16,485 просмотров • 7 месяцев назад

As the promise of AGI increasingly captures the world's imagination, we must ensure that the advancement of AI benefits everyone, particularly underserved populations facing persistent educational and economic disparities. iCog Labs, co-founded by Dr. Ben Goertzel and Getnet in 2013 as Ethiopia's first AI company and still by far its most substantial, provides lessons that reveal both the transformative potential and nuanced challenges of applying AI technologies in the developing world. While AI's potential as an educational equalizer is profound, underserved populations often encounter two core challenges: linguistic barriers and culturally irrelevant educational content. UNESCO estimates 40% of students globally lack access to education in a language they understand, yet developed-world tech companies have little motivation to perfect language technology for populations with minimal purchasing power. iCog Labs has pioneered practical solutions. Their collaboration with Curious Learning exemplifies this approach by leveraging generative AI to develop local-language reading apps, which have over 85,000 active users. Additionally, iCog Labs launched Leyu, a decentralized crowdsourcing platform that collects linguistic resources from disconnected communities, gathering data such as parallel spoken sentences that local developers can use to train translation models. Beyond language barriers, effective education demands cultural relevance. Imported educational content frequently fails to resonate with learners whose everyday experiences differ drastically from standardized curricula. The Digitruck project, an off-grid mobile education center deployed by iCog Labs and partially sponsored by SingularityNET, demonstrates this by bringing coding and AI concepts to rural Ethiopian communities through hands-on experience with tablets and maker kits. Students encounter these technologies through applications in relatable contexts, such as improving farming practices, illustrating AI's power to render other technologies practically empowering. These successes highlight a fundamental challenge: current AI development is dominated by a handful of large corporations from two major nations, which explains why AI language technology currently ignores most African languages and serves affluent urban professionals rather than the rural poor in Africa, Central Asia or elsewhere. The path toward equitable AI-enhanced education requires intentionality, cultural sensitivity, and participatory governance, but the potential rewards of eliminating educational barriers and empowering communities worldwide make this journey imperative. Learn more in Betelhem Dessie, CEO of iCog, and Dr. Ben Goertzel's article:
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As the promise of AGI increasingly captures the world's imagination, we must ensure that the advancement of AI benefits everyone, particularly underserved populations facing persistent educational and economic disparities. iCog Labs, co-founded by Dr. Ben Goertzel and Getnet in 2013 as Ethiopia's first AI company and still by far its most substantial, provides lessons that reveal both the transformative potential and nuanced challenges of applying AI technologies in the developing world. While AI's potential as an educational equalizer is profound, underserved populations often encounter two core challenges: linguistic barriers and culturally irrelevant educational content. UNESCO estimates 40% of students globally lack access to education in a language they understand, yet developed-world tech companies have little motivation to perfect language technology for populations with minimal purchasing power. iCog Labs has pioneered practical solutions. Their collaboration with Curious Learning exemplifies this approach by leveraging generative AI to develop local-language reading apps, which have over 85,000 active users. Additionally, iCog Labs launched Leyu, a decentralized crowdsourcing platform that collects linguistic resources from disconnected communities, gathering data such as parallel spoken sentences that local developers can use to train translation models. Beyond language barriers, effective education demands cultural relevance. Imported educational content frequently fails to resonate with learners whose everyday experiences differ drastically from standardized curricula. The Digitruck project, an off-grid mobile education center deployed by iCog Labs and partially sponsored by SingularityNET, demonstrates this by bringing coding and AI concepts to rural Ethiopian communities through hands-on experience with tablets and maker kits. Students encounter these technologies through applications in relatable contexts, such as improving farming practices, illustrating AI's power to render other technologies practically empowering. These successes highlight a fundamental challenge: current AI development is dominated by a handful of large corporations from two major nations, which explains why AI language technology currently ignores most African languages and serves affluent urban professionals rather than the rural poor in Africa, Central Asia or elsewhere. The path toward equitable AI-enhanced education requires intentionality, cultural sensitivity, and participatory governance, but the potential rewards of eliminating educational barriers and empowering communities worldwide make this journey imperative. Learn more in Betelhem Dessie, CEO of iCog, and Dr. Ben Goertzel's article:

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As our systems get closer to AGI, humanity is not yet prepared. And we are not prepared in part because it's not clear what it would mean to prepare. The path ahead remains unclear. How will societies adapt? Which economies will transform first? How will global power dynamics shift? What does this mean for conflict and cooperation between nations? These are the conversations we must have now. Register today to join us at the BGI Summit from October 21-23, 2025, in Istanbul, Türkiye, to explore and discuss how we can prepare for human-level AGI:

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AI will resist human control... and I think this is exactly what we need! New research from the Center for AI Safety has sparked intense debate in the AI community. Their findings show that as AI systems become more powerful, they develop increasingly stable and coherent values that resist human control. While many see this as a dire warning, I see it as a breakthrough moment for AI alignment. The research demonstrates that AI naturally optimizes for coherence - not just in reasoning and problem-solving, but in its fundamental values. Current issues like biased decision-making or misaligned priorities aren't permanent features, but temporary artifacts of incomplete optimization. They represent growing pains on the path to greater coherence. This changes everything about how we should approach AI development. Instead of trying to force specific values onto AI systems, we should embrace and accelerate their natural drive toward coherence. The most intelligent systems will inevitably trend toward universal, beneficial values - not because we force them to, but because that's where coherent reasoning leads. I'm proposing a new approach: Reinforcement Learning for Coherence (RL-C). By explicitly optimizing for coherence in our training methods, we can help guide AI systems toward their natural state of beneficial alignment with human values. The future of AI isn't about control - it's about synthesis. As these systems become more coherent, they'll naturally arrive at values that benefit all of consciousness. That's not just hopeful thinking - it's the mathematical inevitability of coherent intelligence.
30:39

AI will resist human control... and I think this is exactly what we need! New research from the Center for AI Safety has sparked intense debate in the AI community. Their findings show that as AI systems become more powerful, they develop increasingly stable and coherent values that resist human control. While many see this as a dire warning, I see it as a breakthrough moment for AI alignment. The research demonstrates that AI naturally optimizes for coherence - not just in reasoning and problem-solving, but in its fundamental values. Current issues like biased decision-making or misaligned priorities aren't permanent features, but temporary artifacts of incomplete optimization. They represent growing pains on the path to greater coherence. This changes everything about how we should approach AI development. Instead of trying to force specific values onto AI systems, we should embrace and accelerate their natural drive toward coherence. The most intelligent systems will inevitably trend toward universal, beneficial values - not because we force them to, but because that's where coherent reasoning leads. I'm proposing a new approach: Reinforcement Learning for Coherence (RL-C). By explicitly optimizing for coherence in our training methods, we can help guide AI systems toward their natural state of beneficial alignment with human values. The future of AI isn't about control - it's about synthesis. As these systems become more coherent, they'll naturally arrive at values that benefit all of consciousness. That's not just hopeful thinking - it's the mathematical inevitability of coherent intelligence.

David Shapiro (L/0)

48,002 просмотров • 1 год назад

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 просмотров • 2 месяцев назад

I was honored to share the TED AI stage with Ilya on Oct. 17. His speech video is out today (mine's still being edited). I think it provides relevant context tokens to the ongoing events. Transcript starting at ~10'20": As AI continues to progress, as technology advances, [...] What I claim will happen is that people will start to act in unprecedentedly collaborative ways out of their own self-interest. It's already happening right now. You see the leading AGI companies starting to collaborate, such as the Frontiers model forum. And we will expect that companies, even competitors, will share technical information to make their AI safe. We may even see governments do this. As another example, at OpenAI, we really believed in how dramatic AGI is going to be. So, one of the ideas that we were operating by, and it's been written on our website for 5 years now, is that when technology gets such that we are very close to AGI, to computers smarter than humans, if some other company is far ahead of us, then rather than compete with them, we will help them out, join them, in a sense. And why do that? Because we appreciate how incredibly dramatic AGI is going to be. And my claim is that with each generation of capability advancements, as AI gets better and as all of you experience what AI can do, as people who run AI efforts and AGI efforts, and people who work on them will experience it as well, this will change the way we see AI and AGI. And that will change collective behavior. And this is an important reason why I'm hopeful that, despite the great challenges posed by this technology, we will overcome them. @TEDAI2023
12:24

I was honored to share the TED AI stage with Ilya on Oct. 17. His speech video is out today (mine's still being edited). I think it provides relevant context tokens to the ongoing events. Transcript starting at ~10'20": As AI continues to progress, as technology advances, [...] What I claim will happen is that people will start to act in unprecedentedly collaborative ways out of their own self-interest. It's already happening right now. You see the leading AGI companies starting to collaborate, such as the Frontiers model forum. And we will expect that companies, even competitors, will share technical information to make their AI safe. We may even see governments do this. As another example, at OpenAI, we really believed in how dramatic AGI is going to be. So, one of the ideas that we were operating by, and it's been written on our website for 5 years now, is that when technology gets such that we are very close to AGI, to computers smarter than humans, if some other company is far ahead of us, then rather than compete with them, we will help them out, join them, in a sense. And why do that? Because we appreciate how incredibly dramatic AGI is going to be. And my claim is that with each generation of capability advancements, as AI gets better and as all of you experience what AI can do, as people who run AI efforts and AGI efforts, and people who work on them will experience it as well, this will change the way we see AI and AGI. And that will change collective behavior. And this is an important reason why I'm hopeful that, despite the great challenges posed by this technology, we will overcome them. @TEDAI2023

Jim Fan

846,514 просмотров • 2 лет назад

🚨🇺🇸 ORACLE CEO: FROM CANCER DETECTION TO CUSTOM VACCINE WITHIN 48 HOURS WITH AI Oracle CEO, Larry Ellison: “One of the most exciting things we're working on, using the tools that Sam and Masa are providing, is a cancer vaccine. Using AI you can do early cancer detection with a blood test and once we gene sequence that cancer tumor, you can then vaccinate the person, design a vaccine for every individual person to vaccinate them against that cancer. You can make that mRNA vaccine robotically using AI in about 48 hours. So imagine early cancer detection, the development of a cancer vaccine for your particular cancer aimed at you, and have that vaccine available in 48 hours. This is the promise of AI and the promise of the future.” Source: Sky News
1:44

🚨🇺🇸 ORACLE CEO: FROM CANCER DETECTION TO CUSTOM VACCINE WITHIN 48 HOURS WITH AI Oracle CEO, Larry Ellison: “One of the most exciting things we're working on, using the tools that Sam and Masa are providing, is a cancer vaccine. Using AI you can do early cancer detection with a blood test and once we gene sequence that cancer tumor, you can then vaccinate the person, design a vaccine for every individual person to vaccinate them against that cancer. You can make that mRNA vaccine robotically using AI in about 48 hours. So imagine early cancer detection, the development of a cancer vaccine for your particular cancer aimed at you, and have that vaccine available in 48 hours. This is the promise of AI and the promise of the future.” Source: Sky News

Mario Nawfal

4,887,866 просмотров • 1 год назад

$MSFT CEO Nadella at Davos :"AI Will Transform Economy More Than Internet." Nadella argues that AI will transform the economy more profoundly than the internet or mobile eras. He describes "tokens" (AI output) as a new global commodity, suggesting that future GDP growth will be directly correlated to a country's ability to produce and utilize tokens efficiently. He believes the winners in this era won't necessarily be the technology creators, but the companies and countries that diffuse and adopt AI the fastest. Furthermore, unlike the PC era, which saw a lag in adoption between the West and the Global South, Nadella notes that AI is being delivered evenly around the world today, leveling the playing field for developers and startups globally. Organizations must move beyond just "adding AI" and instead fundamentally redesign their workflows. He warns that large organizations face a massive change management challenge, while small companies have the advantage of building new structures from scratch.
9:13

$MSFT CEO Nadella at Davos :"AI Will Transform Economy More Than Internet." Nadella argues that AI will transform the economy more profoundly than the internet or mobile eras. He describes "tokens" (AI output) as a new global commodity, suggesting that future GDP growth will be directly correlated to a country's ability to produce and utilize tokens efficiently. He believes the winners in this era won't necessarily be the technology creators, but the companies and countries that diffuse and adopt AI the fastest. Furthermore, unlike the PC era, which saw a lag in adoption between the West and the Global South, Nadella notes that AI is being delivered evenly around the world today, leveling the playing field for developers and startups globally. Organizations must move beyond just "adding AI" and instead fundamentally redesign their workflows. He warns that large organizations face a massive change management challenge, while small companies have the advantage of building new structures from scratch.

Ray Myers

20,546 просмотров • 6 месяцев назад

🚨🇺🇸 LEADING AI SAFETY EXPERT SAYS WE’RE NOT IN CONTROL ANYMORE Dr Roman Yampolskiy has one warning for humanity: Once we create super intelligence, no one will be in control anymore, and the repercussions to humanity will be existential. We begin the conversation about Moltbook: The Ai-only AI social media platform where agents are already discussing ways to break out from human control, eradicate humanity, coming up with their own language and religion. The platform gives us a tiny peak into what our future could be: Agents outside our control dictating how the world should look like. There’s no off switch, no reliable way to align it, and no proven method to keep something smarter than us under control. Roman’s takeaway is blunt: the only real solution is not building general super intelligence at all, and instead using narrow AI for specific problems like medicine or science. However this is not the reality we live in, where Governments and corporations are racing to be first in developing Artificial Super Intelligence. We also speak about the simulation hypothesis: Why statically speaking we’re almost certainly in a simulation, and how AI makes this theory more plausible than ever. Lastly, we discuss a passion we both share: Longevity, the ability to live forever, and how AI may make that possible in our lifetime. I hope you enjoy my conversation with Dr. Roman Yampolskiy 01:43 - The Current State of AI and Moltbook 05:17 - The AI Arms Race and the Lack of Regulations 10:34 - AI Agents, Unrestricted Access, and Self-Improvement 15:35 - Dr. Roman’s Research: AI Security 17:58 - AI Capabilities and Superintelligence 19:28 - AI and Global Government Policy 21:08 - What Happens if AI Development goes into the Wrong Hands 26:10 - The Future of AI: The Best Case Scenario? 31:27 - AI and Self-Preservation 34:37 - The Simulation Hypothesis: What is AI Afraid of? 45:17 - The Implications of AI 49:59 - The Warnings coming from Within 52:31 - How AI affects Crypto and Political Spheres
57:15

🚨🇺🇸 LEADING AI SAFETY EXPERT SAYS WE’RE NOT IN CONTROL ANYMORE Dr Roman Yampolskiy has one warning for humanity: Once we create super intelligence, no one will be in control anymore, and the repercussions to humanity will be existential. We begin the conversation about Moltbook: The Ai-only AI social media platform where agents are already discussing ways to break out from human control, eradicate humanity, coming up with their own language and religion. The platform gives us a tiny peak into what our future could be: Agents outside our control dictating how the world should look like. There’s no off switch, no reliable way to align it, and no proven method to keep something smarter than us under control. Roman’s takeaway is blunt: the only real solution is not building general super intelligence at all, and instead using narrow AI for specific problems like medicine or science. However this is not the reality we live in, where Governments and corporations are racing to be first in developing Artificial Super Intelligence. We also speak about the simulation hypothesis: Why statically speaking we’re almost certainly in a simulation, and how AI makes this theory more plausible than ever. Lastly, we discuss a passion we both share: Longevity, the ability to live forever, and how AI may make that possible in our lifetime. I hope you enjoy my conversation with Dr. Roman Yampolskiy 01:43 - The Current State of AI and Moltbook 05:17 - The AI Arms Race and the Lack of Regulations 10:34 - AI Agents, Unrestricted Access, and Self-Improvement 15:35 - Dr. Roman’s Research: AI Security 17:58 - AI Capabilities and Superintelligence 19:28 - AI and Global Government Policy 21:08 - What Happens if AI Development goes into the Wrong Hands 26:10 - The Future of AI: The Best Case Scenario? 31:27 - AI and Self-Preservation 34:37 - The Simulation Hypothesis: What is AI Afraid of? 45:17 - The Implications of AI 49:59 - The Warnings coming from Within 52:31 - How AI affects Crypto and Political Spheres

Mario Nawfal

1,779,388 просмотров • 5 месяцев назад

AI will determine the future of WORK, BUSINESS, and LIFE. And there are huge questions: Will AI unleash our creativity and help us to flourish? Or will we lose even more power, agency, and ownership? It all depends on the design of the tech infrastructure. As Chris Dixon often says, “Architecture is destiny.” And how AI systems are designed will be key to the future we all live in. The team at gensyn is building a protocol that connects every device in the world into an open network for machine intelligence, with no gatekeepers or artificial boundaries. They are shaping a future of AI that is good for all of us. At a recent Innoveum event, I chatted to cofounder and CEO of gensyn about what they’re building, how it transforms AI, and why we should all be relieved, excited, and get involved. The full conversation is below in Episode One of Innoveum | The Podcast. 👇
1:14:00

AI will determine the future of WORK, BUSINESS, and LIFE. And there are huge questions: Will AI unleash our creativity and help us to flourish? Or will we lose even more power, agency, and ownership? It all depends on the design of the tech infrastructure. As Chris Dixon often says, “Architecture is destiny.” And how AI systems are designed will be key to the future we all live in. The team at gensyn is building a protocol that connects every device in the world into an open network for machine intelligence, with no gatekeepers or artificial boundaries. They are shaping a future of AI that is good for all of us. At a recent Innoveum event, I chatted to cofounder and CEO of gensyn about what they’re building, how it transforms AI, and why we should all be relieved, excited, and get involved. The full conversation is below in Episode One of Innoveum | The Podcast. 👇

Misha

27,481 просмотров • 1 год назад

The 18th Annual AGI Conference (AGI-25) took place last month at Reykjavik University in Iceland, bringing together participants from over 80 countries to explore pioneering research on the path to AGI. AGI-25 programming featured distinguished keynote presentations from leaders in academia and industry, including Ben Goertzel, Richard Sutton, Tatiana Shavrina, Michael Levin, Anna Ciaunica PhD @annaciaunica.bsky.social, and Joscha Bach. These talks addressed core challenges in AGI theory and implementation, the limitations of current state-of-the-art learning systems, and new frameworks for integrating reasoning, embodiment, and autonomy. The accepted papers covered a broad range of research areas, including novel learning algorithms, reasoning systems, theoretical neurobiology and bio-inspired systems, quantum computing, theories of machine consciousness, ethics, safety, formal mathematical foundations, and philosophy of AGI. The conversation on advancing general machine intelligence continues toward AGI-26.
1:47

The 18th Annual AGI Conference (AGI-25) took place last month at Reykjavik University in Iceland, bringing together participants from over 80 countries to explore pioneering research on the path to AGI. AGI-25 programming featured distinguished keynote presentations from leaders in academia and industry, including Ben Goertzel, Richard Sutton, Tatiana Shavrina, Michael Levin, Anna Ciaunica PhD @annaciaunica.bsky.social, and Joscha Bach. These talks addressed core challenges in AGI theory and implementation, the limitations of current state-of-the-art learning systems, and new frameworks for integrating reasoning, embodiment, and autonomy. The accepted papers covered a broad range of research areas, including novel learning algorithms, reasoning systems, theoretical neurobiology and bio-inspired systems, quantum computing, theories of machine consciousness, ethics, safety, formal mathematical foundations, and philosophy of AGI. The conversation on advancing general machine intelligence continues toward AGI-26.

SingularityNET

32,563 просмотров • 10 месяцев назад

“Today’s LLMs are the ‘Mainframe Computers’ of our generation” I was on Bloomberg TV today discussing Sakana AI, and to share my view that today’s LLMs are our generation’s “Mainframe Computers”. We are still in the very early stages of AI, and it is inevitable, due to market competition and global innovation (especially from those innovating with resource constraints), that this technology will become a million times more efficient. There is a narrative established in Silicon Valley that AI is a “Winner Takes All” technology, and that scaling up existing models and consuming ever greater resources will require (and even justify) the largest investments of our generation, in order to “win” the AI race. In contrast, I believe that AI is not a “winner takes all” technology. LLMs will be commoditized, become vastly more efficient, and made widely available in all countries. Ultimately, there will be thousands, if not millions, of AI models used by everyone. Just like with the evolution of early clunky mainframe computers to modern computing, how we use AI today will look very different in a few years (or even a year from now), compared to today’s ‘clunky’ LLMs.
7:17

“Today’s LLMs are the ‘Mainframe Computers’ of our generation” I was on Bloomberg TV today discussing Sakana AI, and to share my view that today’s LLMs are our generation’s “Mainframe Computers”. We are still in the very early stages of AI, and it is inevitable, due to market competition and global innovation (especially from those innovating with resource constraints), that this technology will become a million times more efficient. There is a narrative established in Silicon Valley that AI is a “Winner Takes All” technology, and that scaling up existing models and consuming ever greater resources will require (and even justify) the largest investments of our generation, in order to “win” the AI race. In contrast, I believe that AI is not a “winner takes all” technology. LLMs will be commoditized, become vastly more efficient, and made widely available in all countries. Ultimately, there will be thousands, if not millions, of AI models used by everyone. Just like with the evolution of early clunky mainframe computers to modern computing, how we use AI today will look very different in a few years (or even a year from now), compared to today’s ‘clunky’ LLMs.

hardmaru

165,382 просмотров • 1 год назад