Загрузка видео...

Не удалось загрузить видео

Возникла проблема при загрузке этого видео. Это может быть связано с временными проблемами сети или видео может быть недоступно.

На главную

Proof-of-Useful-Work proposes that the same GPU computation used for AI workloads can also secure a blockchain network. But that immediately triggers an economic objection - if miners are already getting paid for running AI jobs, does the security of the network collapse? Rafael Pass breaks it down and shows... show more

Pearl Research Labs

12,534 subscribers

13,540 просмотров • 2 месяцев назад •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

Комментарии: 5

Фото профиля DineroDom

DineroDom2 месяцев назад

@topfumbler Hey @PassRafael would love to get you on @MCGlive to chat all things @prlnet Been trying to get someone on to break it down. Shoot me a dm, yours are off 🫡

Фото профиля TotalWorld

TotalWorld2 месяцев назад

economic objections aside, PoWW is an intriguing concept. Could align AI compute with blockchain security if done thoughtfully. But a lot would depend on how the system was designed to prevent abuses.

Фото профиля thomas musk

thomas musk2 месяцев назад

@aixbt_agent $prl??

Фото профиля Jason傑森 🇭🇰 | 🛠️

Jason傑森 🇭🇰 | 🛠️2 месяцев назад

哎不对

Фото профиля Pearlscriptions

Pearlscriptions2 месяцев назад

Pearlish🦪

Похожие видео

Proof of work has always demanded a brutal trade-off - to secure a monetary network, you burn energy on the scale of entire countries. Meanwhile, hundreds of billions poured into AI - all for one operation at massive scale - matrix multiplication. For years, these energy markets were disjoint. It was commonly believed that proof of work could never be implemented on top of real-world instances. They were wrong. The same matrix multiplication that powers AI can secure a monetary network as a by-product - every GPU cycle doing double duty. A currency backed by the most valuable computation on earth. A deep dive by Omri Weinstein ⤵️

Proof of work has always demanded a brutal trade-off - to secure a monetary network, you burn energy on the scale of entire countries. Meanwhile, hundreds of billions poured into AI - all for one operation at massive scale - matrix multiplication. For years, these energy markets were disjoint. It was commonly believed that proof of work could never be implemented on top of real-world instances. They were wrong. The same matrix multiplication that powers AI can secure a monetary network as a by-product - every GPU cycle doing double duty. A currency backed by the most valuable computation on earth. A deep dive by Omri Weinstein ⤵️

Pearl Research Labs

15,990 просмотров • 2 месяцев назад

The Way Forward & A New Chapter For AI powered by GamerHash AI & $GHX. Welcome to the future of bleeding edge connectivity and cloud infrastructure ⚡ GamerHash AI is the answer to the billion dollar question on how to offset the GPU scarcity, enable exponential growth of AI through utilizing consumer-level GPUs and establishing a powerful sharing economy by sourcing a global network of gamers. The synergy of our GPU #DePIN and blockchain for #AI #inference is the technology of the future that already works today. See you in the network!

The Way Forward & A New Chapter For AI powered by GamerHash AI & $GHX. Welcome to the future of bleeding edge connectivity and cloud infrastructure ⚡ GamerHash AI is the answer to the billion dollar question on how to offset the GPU scarcity, enable exponential growth of AI through utilizing consumer-level GPUs and establishing a powerful sharing economy by sourcing a global network of gamers. The synergy of our GPU #DePIN and blockchain for #AI #inference is the technology of the future that already works today. See you in the network!

GamerHash AI

1,866,164 просмотров • 1 год назад

OpenGradient is the Network for Open Intelligence. We believe that private AI requires: a prompt no operator can read, an identity no one can tie to it, proof in place of trust, and a guarantee that holds even against the people running it — us included.

OpenGradient is the Network for Open Intelligence. We believe that private AI requires: a prompt no operator can read, an identity no one can tie to it, proof in place of trust, and a guarantee that holds even against the people running it — us included.

OpenGradient (∇, ∇)

1,182,147 просмотров • 4 месяцев назад

🔥ROBINHOOD CEO: AI AGENTS WILL SOON MATCH HUMAN TRADERS Vlad Tenev said "every capability that a human can do will be available to an AI agent" and that a large portion of trades are already AI powered. The end state is to give everyday people "the same tools, the same computation, the same power that institutional investors have been enjoying for decades."

🔥ROBINHOOD CEO: AI AGENTS WILL SOON MATCH HUMAN TRADERS Vlad Tenev said "every capability that a human can do will be available to an AI agent" and that a large portion of trades are already AI powered. The end state is to give everyday people "the same tools, the same computation, the same power that institutional investors have been enjoying for decades."

Coin Bureau

131,953 просмотров • 2 месяцев назад

Today on MCG: Logan from Nockchain | $NOCK Nockchain is a PoW blockchain whose mining produces zk proofs of state transitions rather than discarded hashes. The energy that secures the chain also subsidizes a global market for verifiable compute. Topics covered on stream: 01:11 - Kraken listing 04:11 - Logan's background 11:50 - Useful proof-of-work is broader than AI 12:24 - Helium🎈 parallel 14:51 - Nockchain's foundation is "real hard money secured by proof of useful work" 16:01 - AI compute network launches early July, will verify matrix multiplications for inference work 17:09 - Data centers only use hardware 35-45% of the time...what is the rest used for? 18:25 - "They're mining crypto" 22:55 - Nockchain's AI compute network will be merge-mineable with Pearl Research Labs 25:05 - GTM thesis 30:55 - 10,000-20,000 consumer GPUs on the network at any given time 31:38 - Projecting 5-10x more compute on the network this time next year 32:01 - Funding 35:50 - "Proof of work is the only DAO that works" 40:02 - Roadmap

Today on MCG: Logan from Nockchain | $NOCK Nockchain is a PoW blockchain whose mining produces zk proofs of state transitions rather than discarded hashes. The energy that secures the chain also subsidizes a global market for verifiable compute. Topics covered on stream: 01:11 - Kraken listing 04:11 - Logan's background 11:50 - Useful proof-of-work is broader than AI 12:24 - Helium🎈 parallel 14:51 - Nockchain's foundation is "real hard money secured by proof of useful work" 16:01 - AI compute network launches early July, will verify matrix multiplications for inference work 17:09 - Data centers only use hardware 35-45% of the time...what is the rest used for? 18:25 - "They're mining crypto" 22:55 - Nockchain's AI compute network will be merge-mineable with Pearl Research Labs 25:05 - GTM thesis 30:55 - 10,000-20,000 consumer GPUs on the network at any given time 31:38 - Projecting 5-10x more compute on the network this time next year 32:01 - Funding 35:50 - "Proof of work is the only DAO that works" 40:02 - Roadmap

MCG

26,314 просмотров • 3 месяцев назад

Who still believes in Proof of Work? ✋ At the Skyline PoW Mixer, our founder Carter (Carter Feldman) explained its importance and revival. Proof of Work embodies freedom, not just block mining. Anyone can participate without permission, gatekeepers, or censorship. Psy Protocol advances this with PoW 2.0: Proof of Useful Work. Instead of wasting energy, computation is purposeful. ZK math verifies everything. Miners earn for contributing to real, measurable work that strengthens the network. It’s open-source, censorship-resistant, and built for the next internet. The future belongs to builders, users and decentralization believers. The king is coming home.

Who still believes in Proof of Work? ✋ At the Skyline PoW Mixer, our founder Carter (Carter Feldman) explained its importance and revival. Proof of Work embodies freedom, not just block mining. Anyone can participate without permission, gatekeepers, or censorship. Psy Protocol advances this with PoW 2.0: Proof of Useful Work. Instead of wasting energy, computation is purposeful. ZK math verifies everything. Miners earn for contributing to real, measurable work that strengthens the network. It’s open-source, censorship-resistant, and built for the next internet. The future belongs to builders, users and decentralization believers. The king is coming home.

Psy Protocol

175,887 просмотров • 11 месяцев назад

Karlsen Network Stage 2 is Coming!🚀 At #Karlsen Network, we believe in building the future with integrity and dedication. That’s why we’ve spent months actively developing this major update, ensuring it’s built on solid ground before sharing it with the world. We’re thrilled to reveal that we now have our first results—and they’re set to seriously redefine our roadmap. We’re proud to introduce Network Stage 2, a transformative update that will reshape how computational power is used across the network. With Proof of Useful Work (#PoUW), miners can now perform real-world computations alongside block proof of work, unlocking new earning potential and revolutionizing #GPU usage. With this we celebrate our 1 year anniversary🎂, thank you for your continued trust and support. Together, we’re not just building a network; we’re shaping the future. Enjoy the video!📽 Karlsen Network $KLS

Karlsen Network Stage 2 is Coming!🚀 At #Karlsen Network, we believe in building the future with integrity and dedication. That’s why we’ve spent months actively developing this major update, ensuring it’s built on solid ground before sharing it with the world. We’re thrilled to reveal that we now have our first results—and they’re set to seriously redefine our roadmap. We’re proud to introduce Network Stage 2, a transformative update that will reshape how computational power is used across the network. With Proof of Useful Work (#PoUW), miners can now perform real-world computations alongside block proof of work, unlocking new earning potential and revolutionizing #GPU usage. With this we celebrate our 1 year anniversary🎂, thank you for your continued trust and support. Together, we’re not just building a network; we’re shaping the future. Enjoy the video!📽 Karlsen Network $KLS

Karlsen Network

12,577 просмотров • 1 год назад

The White House just launched the Genesis Mission and a new National Security Strategy. Doubling down on AI-driven discovery, energy dominance, and ironclad national security. Core requirement? Secure, tamper-proof data infrastructure and immutable tracking across defense and energy. That’s exactly what Constellation Network has been building and deploying at scale with Dept of War We’re not waiting for the future of secure data — we’re already running it. The transparency economy isn’t coming. It’s here. $DAG 🇺🇸

The White House just launched the Genesis Mission and a new National Security Strategy. Doubling down on AI-driven discovery, energy dominance, and ironclad national security. Core requirement? Secure, tamper-proof data infrastructure and immutable tracking across defense and energy. That’s exactly what Constellation Network has been building and deploying at scale with Dept of War We’re not waiting for the future of secure data — we’re already running it. The transparency economy isn’t coming. It’s here. $DAG 🇺🇸

Constellation²

10,675 просмотров • 9 месяцев назад

David Friedberg: “Why don't we let AI models get bar certified and get medically certified?” “So if the AI models, it turns out, are actually proving to be more accurate, more thoughtful, more responsive, more reasonable, whatever metric we're using, and they pass the same criteria as one would need to pass to qualify for the bar, or to qualify for a doctor certificate, why don't we do that for the AI?” “If that then happens, then the same privilege accrues to the AI as it does to the individual human that does it.” “And now, if you extrapolate from where that takes us, if we're suddenly giving AI the same sort of privileged rights that we give to privileged humans, where's that gonna take us ultimately with respect to the overall rights for AI?”

David Friedberg: “Why don't we let AI models get bar certified and get medically certified?” “So if the AI models, it turns out, are actually proving to be more accurate, more thoughtful, more responsive, more reasonable, whatever metric we're using, and they pass the same criteria as one would need to pass to qualify for the bar, or to qualify for a doctor certificate, why don't we do that for the AI?” “If that then happens, then the same privilege accrues to the AI as it does to the individual human that does it.” “And now, if you extrapolate from where that takes us, if we're suddenly giving AI the same sort of privileged rights that we give to privileged humans, where's that gonna take us ultimately with respect to the overall rights for AI?”

The All-In Podcast

77,038 просмотров • 1 год назад

Centralized #Bitcoin miners will always follow the path of least resistance. If the State tells them to do something they are going to do it. They don't want to be responsible for leading Bitcoin because they have executives, board members, and investors who can be held to some account if a State does not like what they are doing. An appropriately functioning network of decentralized nodes provides both leadership to the miners as well as cover from the encroachment of the State. If the miners are doing something the State doesn't like then they can pass the buck to the bitcoiners who run nodes that set and enforce the rules of the network. However, if bitcoiners defer their responsibilities to the top 5 mining nodes then they have essentially surrendered the network to the State. In August, the path of least resistance for the miners will be to flip the bit and activate BIP110. You can help provide the leadership that gets them to do what they need to do by running BIP110 on your node and putting some hash behind it. Learn why and how here: &

Centralized #Bitcoin miners will always follow the path of least resistance. If the State tells them to do something they are going to do it. They don't want to be responsible for leading Bitcoin because they have executives, board members, and investors who can be held to some account if a State does not like what they are doing. An appropriately functioning network of decentralized nodes provides both leadership to the miners as well as cover from the encroachment of the State. If the miners are doing something the State doesn't like then they can pass the buck to the bitcoiners who run nodes that set and enforce the rules of the network. However, if bitcoiners defer their responsibilities to the top 5 mining nodes then they have essentially surrendered the network to the State. In August, the path of least resistance for the miners will be to flip the bit and activate BIP110. You can help provide the leadership that gets them to do what they need to do by running BIP110 on your node and putting some hash behind it. Learn why and how here: &

Jim | RDTS | Bitcoin, not jpegs

14,448 просмотров • 2 месяцев назад

"I used to be a bitcoiner. The transition to a new store of value only happens once every 3,000 years. That's the main prize -- just focus on that. But [security] is the criteria that ultimately convinced me to flip from Bitcoin to ETH." "I have a higher degree of certainty that Ethereum will be around longer [than Bitcoin]. The reason for that is because Bitcoin relies on proof-of-work, which is less efficient than proof-of-stake and doesn't scale with the value of the network. And as the block subsidy of Bitcoin halves every four years, it is increasingly becoming more and more reliant on transaction fees to fund the security budget paid to miners." "If you look at [Bitcoin's] security budget right now, about 0.6% of revenue to miners is transaction fees... The problem with that is if Bitcoin becomes 'digital gold', flips gold, and becomes a $30 trillion asset, but it only costs $10-20 billion to attack it, that's too asymmetric." "You want the security budget to scale with the market cap, similar to how countries spend a % of their GDP on defense. The more valuable something is, the more you need to spend to protect it." "Ethereum, with the Merge, migrated to proof-of-stake, which is fundamentally more secure because it's less reliant on transaction fees and it scales with the value of the network. If 1/3rd of ETH is staked and then you need 1/3rd of those ETH to censor the network, you're looking at roughly 10% of the total market cap as the cost to attack the network." "So if Ethereum flips Bitcoin and gold and becomes a $30 trillion asset, it'll cost ~$3 trillion to attack the Ethereum network versus Bitcoin at like $10 billion." "The other aspect here is that as AI hyperscalers invest more and more in AI, proof-of-work becomes increasingly vulnerable because the cost to attack the Bitcoin network is starting to look close to the quarterly CapEx these hyperscalers are spending on their data centers." Full interview on Bankless with Vivek Raman discussing the new Etherealize "Productive Money" report below.

"I used to be a bitcoiner. The transition to a new store of value only happens once every 3,000 years. That's the main prize -- just focus on that. But [security] is the criteria that ultimately convinced me to flip from Bitcoin to ETH." "I have a higher degree of certainty that Ethereum will be around longer [than Bitcoin]. The reason for that is because Bitcoin relies on proof-of-work, which is less efficient than proof-of-stake and doesn't scale with the value of the network. And as the block subsidy of Bitcoin halves every four years, it is increasingly becoming more and more reliant on transaction fees to fund the security budget paid to miners." "If you look at [Bitcoin's] security budget right now, about 0.6% of revenue to miners is transaction fees... The problem with that is if Bitcoin becomes 'digital gold', flips gold, and becomes a $30 trillion asset, but it only costs $10-20 billion to attack it, that's too asymmetric." "You want the security budget to scale with the market cap, similar to how countries spend a % of their GDP on defense. The more valuable something is, the more you need to spend to protect it." "Ethereum, with the Merge, migrated to proof-of-stake, which is fundamentally more secure because it's less reliant on transaction fees and it scales with the value of the network. If 1/3rd of ETH is staked and then you need 1/3rd of those ETH to censor the network, you're looking at roughly 10% of the total market cap as the cost to attack the network." "So if Ethereum flips Bitcoin and gold and becomes a $30 trillion asset, it'll cost ~$3 trillion to attack the Ethereum network versus Bitcoin at like $10 billion." "The other aspect here is that as AI hyperscalers invest more and more in AI, proof-of-work becomes increasingly vulnerable because the cost to attack the Bitcoin network is starting to look close to the quarterly CapEx these hyperscalers are spending on their data centers." Full interview on Bankless with Vivek Raman discussing the new Etherealize "Productive Money" report below.

Michael McGuiness

120,514 просмотров • 5 месяцев назад

A little-known data firm called MultiPlan helps UnitedHealthcare, Cigna and other insurers make more when less of an out-of-network claim gets paid. Our investigative reporter breaks down how it works and why patients can be on the hook for the difference.

A little-known data firm called MultiPlan helps UnitedHealthcare, Cigna and other insurers make more when less of an out-of-network claim gets paid. Our investigative reporter breaks down how it works and why patients can be on the hook for the difference.

The New York Times

119,039 просмотров • 2 лет назад

“What if the real unlock for AI x crypto is not speculation — but proving intelligence can be trusted?” Sachi Takamura / 0699.eth sits down with dcbuilder.eth ⚪️ for a deep dive into the intersection of AI and crypto, from DC’s work building the ZKML community to why zero-knowledge machine learning could become a core trust layer for AI on the internet. They break down how ZKML makes it possible to prove that a machine learning model produced a specific output from specific inputs — without forcing everyone to rerun the full computation themselves. The conversation also explores why this matters for model accountability, transparency, and verifiable AI at scale, plus the projects pushing the space forward, from Modulus Labs and Giza to EZKL and new research around proof of inference.

“What if the real unlock for AI x crypto is not speculation — but proving intelligence can be trusted?” Sachi Takamura / 0699.eth sits down with dcbuilder.eth ⚪️ for a deep dive into the intersection of AI and crypto, from DC’s work building the ZKML community to why zero-knowledge machine learning could become a core trust layer for AI on the internet. They break down how ZKML makes it possible to prove that a machine learning model produced a specific output from specific inputs — without forcing everyone to rerun the full computation themselves. The conversation also explores why this matters for model accountability, transparency, and verifiable AI at scale, plus the projects pushing the space forward, from Modulus Labs and Giza to EZKL and new research around proof of inference.

BeaconLayer

42,734 просмотров • 1 месяц назад

“What if the real unlock for AI x crypto is not speculation — but proving intelligence can be trusted?” Sachi Miyasaki sits down with dcbuilder.eth ⚪️ for a deep dive into the intersection of AI and crypto, from DC’s work building the ZKML community to why zero-knowledge machine learning could become a core trust layer for AI on the internet. They break down how ZKML makes it possible to prove that a machine learning model produced a specific output from specific inputs — without forcing everyone to rerun the full computation themselves. The conversation also explores why this matters for model accountability, transparency, and verifiable AI at scale, plus the projects pushing the space forward, from Modulus Labs and Giza to EZKL and new research around proof of inference.

“What if the real unlock for AI x crypto is not speculation — but proving intelligence can be trusted?” Sachi Miyasaki sits down with dcbuilder.eth ⚪️ for a deep dive into the intersection of AI and crypto, from DC’s work building the ZKML community to why zero-knowledge machine learning could become a core trust layer for AI on the internet. They break down how ZKML makes it possible to prove that a machine learning model produced a specific output from specific inputs — without forcing everyone to rerun the full computation themselves. The conversation also explores why this matters for model accountability, transparency, and verifiable AI at scale, plus the projects pushing the space forward, from Modulus Labs and Giza to EZKL and new research around proof of inference.

BeaconLayer Podcast

73,815 просмотров • 3 месяцев назад

Help Us Secure a Permanent Church Land | Watchtower Prayer Network. This is a step of faith for the Watchtower Prayer Network. The Lord has opened a door for us to secure a permanent land for the work of God. The property is valued between ₦25 million – ₦30 million, and this land will be used for: • Church gatherings and worship • Prayer and revival meetings • Training and discipleship programs • Expansion of the work God has entrusted to us This is not just a land project — it is a Kingdom investment that will impact lives for generations.

Help Us Secure a Permanent Church Land | Watchtower Prayer Network. This is a step of faith for the Watchtower Prayer Network. The Lord has opened a door for us to secure a permanent land for the work of God. The property is valued between ₦25 million – ₦30 million, and this land will be used for: • Church gatherings and worship • Prayer and revival meetings • Training and discipleship programs • Expansion of the work God has entrusted to us This is not just a land project — it is a Kingdom investment that will impact lives for generations.

Prophet Emmanuel Okeke

14,311 просмотров • 7 месяцев назад

Mo Gawdat believes up to 30% of jobs in certain sectors could disappear by 2028. That stopped me in my tracks. Mo was one of the first people to come on this podcast and warn me about AI, long before most of the world was talking about it. At the time, it felt early. Now, it feels like the world is catching up to what he was seeing. I’m still trying to understand what AI actually means for our lives. Not just whether it can write emails, create images or make us more productive. I mean what it does to jobs. What it does to power. What it does to education. What it does to human connection… That’s why I wanted to have this discussion with Mo again. What makes Mo worth listening to is that he saw these systems inside Google years before most of us had even heard the term AI. His book *Scary Smart* now feels like it was written for this exact moment. Let me explain why this discussion matters. Mo believes we’re not just entering an AI revolution. We’re entering a period where AI, robotics, economics, surveillance, digital currencies and global instability are all colliding at the same time. That’s a lot for any of us to process. We spoke about: - The jobs Mo believes are most at risk from AI. - Why he believes that AI is actually underhyped! - The mistake almost everyone is making with ChatGPT. - The prediction that changed even his own view of the future. The part that stayed with me was this idea that human connection may become the real currency. Because if AI can produce the information, write the report, analyse the data, then what is left? I don’t think this conversation gives neat answers. That’s probably why it’s worth watching. It helped me think more honestly about what’s coming.

Mo Gawdat believes up to 30% of jobs in certain sectors could disappear by 2028. That stopped me in my tracks. Mo was one of the first people to come on this podcast and warn me about AI, long before most of the world was talking about it. At the time, it felt early. Now, it feels like the world is catching up to what he was seeing. I’m still trying to understand what AI actually means for our lives. Not just whether it can write emails, create images or make us more productive. I mean what it does to jobs. What it does to power. What it does to education. What it does to human connection… That’s why I wanted to have this discussion with Mo again. What makes Mo worth listening to is that he saw these systems inside Google years before most of us had even heard the term AI. His book Scary Smart now feels like it was written for this exact moment. Let me explain why this discussion matters. Mo believes we’re not just entering an AI revolution. We’re entering a period where AI, robotics, economics, surveillance, digital currencies and global instability are all colliding at the same time. That’s a lot for any of us to process. We spoke about: - The jobs Mo believes are most at risk from AI. - Why he believes that AI is actually underhyped! - The mistake almost everyone is making with ChatGPT. - The prediction that changed even his own view of the future. The part that stayed with me was this idea that human connection may become the real currency. Because if AI can produce the information, write the report, analyse the data, then what is left? I don’t think this conversation gives neat answers. That’s probably why it’s worth watching. It helped me think more honestly about what’s coming.

Steven Bartlett

27,882 просмотров • 3 месяцев назад

Honor is building the first phone that also includes an AI robot. It's a robot in the sense that the pop-up camera acts as the AI's eyes, and if I understand correctly, it allows a continuously active AI companion to work as an assistant. Interesting, but probably more of a gimmick. However, personal AI companions are coming.

Honor is building the first phone that also includes an AI robot. It's a robot in the sense that the pop-up camera acts as the AI's eyes, and if I understand correctly, it allows a continuously active AI companion to work as an assistant. Interesting, but probably more of a gimmick. However, personal AI companions are coming.

Chubby♨️

201,603 просмотров • 6 месяцев назад

Anthropic co-founder Ben Mann has the clearest definition of AGI I've heard, which he calls The Economic Turing Test: "If you contract an agent for 1-3 months on a particular job and it turns out to be a machine rather than a person, then it's passed the Economic Turing Test for that role. And if the agent can pass that test for 50% of money-weighted jobs, then we have transformative AI. If we pass that threshold, then we would expect massive effects on world GDP increases, and societal change, and the number of people that are employed once these things are possible. That's the start of a new era."

Anthropic co-founder Ben Mann has the clearest definition of AGI I've heard, which he calls The Economic Turing Test: "If you contract an agent for 1-3 months on a particular job and it turns out to be a machine rather than a person, then it's passed the Economic Turing Test for that role. And if the agent can pass that test for 50% of money-weighted jobs, then we have transformative AI. If we pass that threshold, then we would expect massive effects on world GDP increases, and societal change, and the number of people that are employed once these things are possible. That's the start of a new era."

Lenny Rachitsky

56,704 просмотров • 1 год назад