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Let's talk about Private Smart Contracts on Midnight 🛠️ At Rare Evo: A Blockchain Event's Dev Day, Benjamin Beckmann (Chief Technical Advisor, Midnight Foundation) & Joseph Denman (Senior Software Engineer, Shielded Technologies) led a standing-room-only workshop unpacking zk-SNARKs, the Kachina Model, Impact VM & more. 📺 Watch the full recording:

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Midnight Foundation

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12,293 görüntüleme • 11 ay önce •via X (Twitter)

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How do you summarise 2 days of greatness? I’ve been thinking about this a lot! 3 weeks ago, on 29th-30th December, 2023 ‘VIBES WITH DR ADAKU LAGOS 2.0’ occurred in Nigeria and it was truly everything and more. A music, technology (web3) and wellbeing festival with a twist! The impact was clear and so rewarding. On day 1 (developers day), we had Aleo coding workshops with 100 software developers. It was a day full of excellence: multiple workshops primarily consisting of technical coding workshops educating devs on building ZK blockchain apps on Aleo which were 'learn and earn'. Alysia 👩‍💻☕ and I put our heart and soul into everything and it was truly so rewarding to be able to do this in Nigeria! The education and engagement didn’t stop after day 1, we’ve been doing troubleshooting, more education, code reviews and connecting everyone to more learn and earn opportunities with projects like puzzle who also did a workshop on the day. Thank you to Aleo / @f3annee for making this a reality, big shoutout to IzzyOAP too, their Nigeria ambassador! Aleo Community | Nigeria We had all sorts of developers from smart contract devs, web2 devs, creators, even musicians who also code! As well as the coding workshops we also had: monetisation workshops led by Victoria Ajayi - Chief Financial Officer at TVC, group therapy led by Lagos based therapist Sandy Brown, meditation led by Good Faith Yoga, free food, drinks, snacks, merch, networking, games and so much more! That was just day 1! On day 2 - the concert/vibe/creator day- we had performances, my full set, body art, health/wellbeing and natural hair panels, games, giveaways and so much more (video coming up next!) Search through the following hashtags for more! #aleonigeria #aleozkhouselagos #aleolagos #vwda2023 #vwda
3:41

How do you summarise 2 days of greatness? I’ve been thinking about this a lot! 3 weeks ago, on 29th-30th December, 2023 ‘VIBES WITH DR ADAKU LAGOS 2.0’ occurred in Nigeria and it was truly everything and more. A music, technology (web3) and wellbeing festival with a twist! The impact was clear and so rewarding. On day 1 (developers day), we had Aleo coding workshops with 100 software developers. It was a day full of excellence: multiple workshops primarily consisting of technical coding workshops educating devs on building ZK blockchain apps on Aleo which were 'learn and earn'. Alysia 👩‍💻☕ and I put our heart and soul into everything and it was truly so rewarding to be able to do this in Nigeria! The education and engagement didn’t stop after day 1, we’ve been doing troubleshooting, more education, code reviews and connecting everyone to more learn and earn opportunities with projects like puzzle who also did a workshop on the day. Thank you to Aleo / @f3annee for making this a reality, big shoutout to IzzyOAP too, their Nigeria ambassador! Aleo Community | Nigeria We had all sorts of developers from smart contract devs, web2 devs, creators, even musicians who also code! As well as the coding workshops we also had: monetisation workshops led by Victoria Ajayi - Chief Financial Officer at TVC, group therapy led by Lagos based therapist Sandy Brown, meditation led by Good Faith Yoga, free food, drinks, snacks, merch, networking, games and so much more! That was just day 1! On day 2 - the concert/vibe/creator day- we had performances, my full set, body art, health/wellbeing and natural hair panels, games, giveaways and so much more (video coming up next!) Search through the following hashtags for more! #aleonigeria #aleozkhouselagos #aleolagos #vwda2023 #vwda

DR ADAKU

12,026 görüntüleme • 2 yıl önce

$ICP = World Computer (Since 2015)⬇️ In 2014, dom williams.icp ∞ , Chief Scientist of the DFINITY Foundation became involved with the early Ethereum community. At the time, the concept of a blockchain that could run software (i.e. smart contracts), which stored and processed data within an unstoppable, tamperproof and autonomous on-chain environment, was both revolutionary and controversial within the industry. At some point, the concept of a blockchain playing the role of a “World Computer” was mooted within the Ethereum community. One interpretation was that such a network would perform a trickle of simple but important smart contract computations for the world. However, Dominic’s interpretation, based on his work, was that World Computer blockchain would inevitably eventually host much of humanity’s systems and services, and all its data and compute, largely replacing traditional IT, and transforming social media, gaming, finance, enterprise systems and many other domains. In 2015, however, Dominic was a lone heretic, and was largely alone in believing that the creation of a true World Computer blockchain was technically feasible, let alone that it might be capable of successfully playing that role in competition with centralized computing infrastructure. Since Dominic strongly believed otherwise, based on his accumulated technical experiences and work on crypto theory, he decided to dedicate himself to blockchain research that might realize the concept, originally, he hoped, in the form a more advanced Ethereum 2.0. He stopped work on Pebble, and directed all his future efforts towards the realization of the World Computer blockchain vision. In early 2015, Dominic’s thinking about blockchain design had become more mature, and he began proposing new approaches to consensus, applied cryptography and blockchain network architecture. Around that time, he began using the name DFINITY as a brand for his work, which takes its characters from decentralized infinity. Through the period 2015 to 2016, Vitalik Buterin, and associates such as Vlad Zamfir, were the Ethereum project’s primary consensus researchers, and were highly focused on developing cryptoeconomic schemes, including under the Casper banner. Meanwhile, Dominic was more focused on finding new ways to leverage advanced cryptography and distributed computing math, and devising alternative blockchain architectures, which might enable a World Computer to be produced. Owing to the long-term nature of Dominic’s work, and it’s more technical approach, eventually it became clear to him that DFINITY should become an independent project. Panel Moderator: Martin Koeppelmann, Panel (from Right to Left): Dominic Williams, Vitalik Buterin, Vlad Zamfir, Jae Kwon, Recorded at the Silicon Valley Ethereum Meetup – October 22nd, 2016
1:34

$ICP = World Computer (Since 2015)⬇️ In 2014, dom williams.icp ∞ , Chief Scientist of the DFINITY Foundation became involved with the early Ethereum community. At the time, the concept of a blockchain that could run software (i.e. smart contracts), which stored and processed data within an unstoppable, tamperproof and autonomous on-chain environment, was both revolutionary and controversial within the industry. At some point, the concept of a blockchain playing the role of a “World Computer” was mooted within the Ethereum community. One interpretation was that such a network would perform a trickle of simple but important smart contract computations for the world. However, Dominic’s interpretation, based on his work, was that World Computer blockchain would inevitably eventually host much of humanity’s systems and services, and all its data and compute, largely replacing traditional IT, and transforming social media, gaming, finance, enterprise systems and many other domains. In 2015, however, Dominic was a lone heretic, and was largely alone in believing that the creation of a true World Computer blockchain was technically feasible, let alone that it might be capable of successfully playing that role in competition with centralized computing infrastructure. Since Dominic strongly believed otherwise, based on his accumulated technical experiences and work on crypto theory, he decided to dedicate himself to blockchain research that might realize the concept, originally, he hoped, in the form a more advanced Ethereum 2.0. He stopped work on Pebble, and directed all his future efforts towards the realization of the World Computer blockchain vision. In early 2015, Dominic’s thinking about blockchain design had become more mature, and he began proposing new approaches to consensus, applied cryptography and blockchain network architecture. Around that time, he began using the name DFINITY as a brand for his work, which takes its characters from decentralized infinity. Through the period 2015 to 2016, Vitalik Buterin, and associates such as Vlad Zamfir, were the Ethereum project’s primary consensus researchers, and were highly focused on developing cryptoeconomic schemes, including under the Casper banner. Meanwhile, Dominic was more focused on finding new ways to leverage advanced cryptography and distributed computing math, and devising alternative blockchain architectures, which might enable a World Computer to be produced. Owing to the long-term nature of Dominic’s work, and it’s more technical approach, eventually it became clear to him that DFINITY should become an independent project. Panel Moderator: Martin Koeppelmann, Panel (from Right to Left): Dominic Williams, Vitalik Buterin, Vlad Zamfir, Jae Kwon, Recorded at the Silicon Valley Ethereum Meetup – October 22nd, 2016

Fabio

12,765 görüntüleme • 8 ay önce

Why Gavin Wood Stepped Away — and Why He’s Back Now In the 124th episode of When Shift Happens, I sat down with Gavin Wood, creator of Polkadot, founder of Web3 Foundation, and soon-to-be CEO of Parity Technologies, to talk about leadership, decentralisation, and the future of blockchain. Our conversation moved easily from protocol architecture to the nature of happiness, and Gavin’s central belief that the industry can return to its core ethos. In 2022, Gavin stepped down from his CEO role at Parity Technologies, telling me, “Running a company is a very particular skill set and it’s not something that I’m particularly skilled at.” His gift, he said, lies in “invigorating people” and getting them excited about projects, not in management or operations. Those responsibilities left little room for the deep thinking and architectural work he values most. “There’s a reason academics are left to their own devices,” he told me. “Stress really inhibits this kind of thought.” Over the next two years, he poured himself into JAM, a major evolution of Polkadot’s protocol design, and watched the architecture he’d envisioned begin to take shape. A few days ago, Gavin announced he was returning as CEO. This time, he says, the foundations are in place, the market is ready, and with Polkadot 2.0 on the horizon, it’s the right moment to lead one of the most important rollout phases in the network’s history. A Reluctant CEO, A Committed Builder Gavin has no interest in building personality cults. “Charismatic leaders have no place in crypto,” he said, arguing that protocols should stand on their own merit and be resilient to the presence or absence of any one figure. This belief shaped Polkadot’s governance model, which widely distributes decision-making power, even if the results have been “mixed” at times. It’s also why he created JAM — his vision for a “magic internet supercomputer” that tackles hard problems first. On Crypto’s Direction and Distractions Gavin didn’t shy away from critiquing the industry. From Ethereum’s Layer 2 approach, which he views as a “power grab,” to the rise of “fart coins”, he sees a space too often distracted from building real, user-centred value. Yet, his return signals optimism. “I’m very happy with JAM and the way it’s going,” he said. “This is actually one of the more fun times in my blockchain career.” Now, the focus is on aligning technical progress with market readiness and turning Polkadot’s architecture into real on-chain impact. The Broader Ethos Not all of our discussion was about technology. We spoke about the illusion of a free society, the importance of self-sovereignty, and the mixed blessings of wealth. For Gavin, true progress means building systems that empower individuals without forcing them to trust centralised intermediaries. And at the heart of it all is curiosity. “Curiosity fuels joyful living,” he said near the end of our talk. Whether in life or code, exploration matters more to him than titles or market cycles. As Gavin steps back into the CEO role, the challenge will be balancing a visionary architect’s mindset with the realities of scaling a global blockchain network. If our conversation is anything to go by, he’s returning with both the philosophy and technicalities needed to steer Polkadot into its next era. 👉 You can watch the full conversation on When Shift Happens on YouTube or listen on your favourite podcast platform.
0:54

Why Gavin Wood Stepped Away — and Why He’s Back Now In the 124th episode of When Shift Happens, I sat down with Gavin Wood, creator of Polkadot, founder of Web3 Foundation, and soon-to-be CEO of Parity Technologies, to talk about leadership, decentralisation, and the future of blockchain. Our conversation moved easily from protocol architecture to the nature of happiness, and Gavin’s central belief that the industry can return to its core ethos. In 2022, Gavin stepped down from his CEO role at Parity Technologies, telling me, “Running a company is a very particular skill set and it’s not something that I’m particularly skilled at.” His gift, he said, lies in “invigorating people” and getting them excited about projects, not in management or operations. Those responsibilities left little room for the deep thinking and architectural work he values most. “There’s a reason academics are left to their own devices,” he told me. “Stress really inhibits this kind of thought.” Over the next two years, he poured himself into JAM, a major evolution of Polkadot’s protocol design, and watched the architecture he’d envisioned begin to take shape. A few days ago, Gavin announced he was returning as CEO. This time, he says, the foundations are in place, the market is ready, and with Polkadot 2.0 on the horizon, it’s the right moment to lead one of the most important rollout phases in the network’s history. A Reluctant CEO, A Committed Builder Gavin has no interest in building personality cults. “Charismatic leaders have no place in crypto,” he said, arguing that protocols should stand on their own merit and be resilient to the presence or absence of any one figure. This belief shaped Polkadot’s governance model, which widely distributes decision-making power, even if the results have been “mixed” at times. It’s also why he created JAM — his vision for a “magic internet supercomputer” that tackles hard problems first. On Crypto’s Direction and Distractions Gavin didn’t shy away from critiquing the industry. From Ethereum’s Layer 2 approach, which he views as a “power grab,” to the rise of “fart coins”, he sees a space too often distracted from building real, user-centred value. Yet, his return signals optimism. “I’m very happy with JAM and the way it’s going,” he said. “This is actually one of the more fun times in my blockchain career.” Now, the focus is on aligning technical progress with market readiness and turning Polkadot’s architecture into real on-chain impact. The Broader Ethos Not all of our discussion was about technology. We spoke about the illusion of a free society, the importance of self-sovereignty, and the mixed blessings of wealth. For Gavin, true progress means building systems that empower individuals without forcing them to trust centralised intermediaries. And at the heart of it all is curiosity. “Curiosity fuels joyful living,” he said near the end of our talk. Whether in life or code, exploration matters more to him than titles or market cycles. As Gavin steps back into the CEO role, the challenge will be balancing a visionary architect’s mindset with the realities of scaling a global blockchain network. If our conversation is anything to go by, he’s returning with both the philosophy and technicalities needed to steer Polkadot into its next era. 👉 You can watch the full conversation on When Shift Happens on YouTube or listen on your favourite podcast platform.

MR SHIFT 🦁

33,656 görüntüleme • 1 yıl önce

BREAKING: GPT-5.5 "Spud" is out and it is a BEAST We've been testing it Every 📧 for the last 3 weeks on everything from coding, to writing, to knowledge work. Here's our day 0 vibe check: - It's a step change in coding AND it's easy to talk to. It's fast and friendly and quickly became my daily driver. But it's also a coding powerhouse—a really rare combination. - It scored 62/100 on our Senior Engineer benchmark. Opus 4.7 scored only a 33/100. (But GPT-5.5 performed best when using an Opus 4.7 plan). Naveen Naidu used over 900 million tokens during testing—and it let him ship production features for Monologue at both high speed and quality. - It has serious conceptual clarity. It can hold a complex plan in its head over hours of work, without getting distracted by existing code. This makes it the first model that we've tested that can perform well on complex refactors requiring deleting and reimagining an substantial existing codebase. - It's a very good writer. This is the first OpenAI model in about a year that got our writers Every 📧 to switch away from Claude. 5.5 has Katie Parrott's seal of approval—not an easy task. Its writing feels more organic and it's better at mimicking a writing style without going overboard. - It's great for agentic knowledge-work. This is the first OpenAI model that manages to be both a stellar senior engineer AND that can be used for everything from spreadsheets to research. It's crazy fast, and it's amazing inside of the Codex desktop app, and got much of our team to switch away from Claude Code and Cowork during the testing period. However, it's not a perfect model. - 5.5 still loses to Opus 4.7 on plan quality. It's plans are extremely readable but Opus has better attention to detail and sharper insight. - 5.5 still loses to Opus 4.7 by a bit on front-end and full-stack product work. Kieran Klaassen found that it wasn't quite as good when full-stack thinking and design are involved. And it's not great writing Ruby. - 5.5 is a great vibe coder but if you're vibe coding without a plan it's worse than Opus. Mike Taylor found that Opus is better at reading in between the lines on underspecified vibe-coding tasks. Overall GPT-5.5 is a massive achievement from OpenAI and it deserves a serious look as your daily driver. Read our full vibe check on Every 📧 here:
12:42

BREAKING: GPT-5.5 "Spud" is out and it is a BEAST We've been testing it Every 📧 for the last 3 weeks on everything from coding, to writing, to knowledge work. Here's our day 0 vibe check: - It's a step change in coding AND it's easy to talk to. It's fast and friendly and quickly became my daily driver. But it's also a coding powerhouse—a really rare combination. - It scored 62/100 on our Senior Engineer benchmark. Opus 4.7 scored only a 33/100. (But GPT-5.5 performed best when using an Opus 4.7 plan). Naveen Naidu used over 900 million tokens during testing—and it let him ship production features for Monologue at both high speed and quality. - It has serious conceptual clarity. It can hold a complex plan in its head over hours of work, without getting distracted by existing code. This makes it the first model that we've tested that can perform well on complex refactors requiring deleting and reimagining an substantial existing codebase. - It's a very good writer. This is the first OpenAI model in about a year that got our writers Every 📧 to switch away from Claude. 5.5 has Katie Parrott's seal of approval—not an easy task. Its writing feels more organic and it's better at mimicking a writing style without going overboard. - It's great for agentic knowledge-work. This is the first OpenAI model that manages to be both a stellar senior engineer AND that can be used for everything from spreadsheets to research. It's crazy fast, and it's amazing inside of the Codex desktop app, and got much of our team to switch away from Claude Code and Cowork during the testing period. However, it's not a perfect model. - 5.5 still loses to Opus 4.7 on plan quality. It's plans are extremely readable but Opus has better attention to detail and sharper insight. - 5.5 still loses to Opus 4.7 by a bit on front-end and full-stack product work. Kieran Klaassen found that it wasn't quite as good when full-stack thinking and design are involved. And it's not great writing Ruby. - 5.5 is a great vibe coder but if you're vibe coding without a plan it's worse than Opus. Mike Taylor found that Opus is better at reading in between the lines on underspecified vibe-coding tasks. Overall GPT-5.5 is a massive achievement from OpenAI and it deserves a serious look as your daily driver. Read our full vibe check on Every 📧 here:

Dan Shipper 📧

130,382 görüntüleme • 3 ay önce

The second richest man on Earth just told a room full of investors exactly how he plans to WATCH you. Every minute and every day of your life. Larry Ellison, co-founder of Oracle, a $320 billion government contractor stood in front of financial analysts and said the quiet part out loud. "Citizens will be on their best behavior because we're constantly recording and reporting everything that's going on." Read that again slowly. Here's the system he described: Every police body camera in America streaming 24/7 to Oracle's cloud and officers can't turn them off. The camera is always recording. But here's the twist. It's not humans watching the footage, it's AI. Oracle's artificial intelligence monitors every feed in real time. If something happens, a shooting, an altercation, excessive force, AI flags it instantly. An alarm goes off and the chief of police is notified in seconds. "Every police officer is going to be supervised at all times," But he didn't stop there. He said the same system watches citizens too. Doorbell cameras, dash cams, security cameras, traffic cameras, drones overhead. All feeding into one AI-powered network, all analyzed in real time and is on Oracle's servers. And about those drones. Ellison says high-speed police chases should be eliminated, no more patrol cars. Just a drone that locks onto your vehicle and follows you. "It's very simple," he said, "in the age of autonomous drones." So who controls this system? Not you or your local government. Oracle. A private corporation with deep ties to the CIA, the Pentagon, and intelligence agencies around the world. A company whose founder built his first database for the Central Intelligence Agency. The same company now pitching itself as the infrastructure backbone of total surveillance. Critics are calling it a real-life 1984, the ACLU flagged it. But Larry Ellison isn't worried about any of that. He's worried about closing the deal. "There are so many opportunities to exploit AI," he told the room. This isn't a debate about whether AI can help policing, it can. The question is what happens when a private company builds a system designed to watch 330 million people and calls it a product. No vote was taken, the law was passed, and no citizen was consulted. Just one billionaire, one investor meeting, and one vision for a world where everyone is watched and told to behave.
1:43

The second richest man on Earth just told a room full of investors exactly how he plans to WATCH you. Every minute and every day of your life. Larry Ellison, co-founder of Oracle, a $320 billion government contractor stood in front of financial analysts and said the quiet part out loud. "Citizens will be on their best behavior because we're constantly recording and reporting everything that's going on." Read that again slowly. Here's the system he described: Every police body camera in America streaming 24/7 to Oracle's cloud and officers can't turn them off. The camera is always recording. But here's the twist. It's not humans watching the footage, it's AI. Oracle's artificial intelligence monitors every feed in real time. If something happens, a shooting, an altercation, excessive force, AI flags it instantly. An alarm goes off and the chief of police is notified in seconds. "Every police officer is going to be supervised at all times," But he didn't stop there. He said the same system watches citizens too. Doorbell cameras, dash cams, security cameras, traffic cameras, drones overhead. All feeding into one AI-powered network, all analyzed in real time and is on Oracle's servers. And about those drones. Ellison says high-speed police chases should be eliminated, no more patrol cars. Just a drone that locks onto your vehicle and follows you. "It's very simple," he said, "in the age of autonomous drones." So who controls this system? Not you or your local government. Oracle. A private corporation with deep ties to the CIA, the Pentagon, and intelligence agencies around the world. A company whose founder built his first database for the Central Intelligence Agency. The same company now pitching itself as the infrastructure backbone of total surveillance. Critics are calling it a real-life 1984, the ACLU flagged it. But Larry Ellison isn't worried about any of that. He's worried about closing the deal. "There are so many opportunities to exploit AI," he told the room. This isn't a debate about whether AI can help policing, it can. The question is what happens when a private company builds a system designed to watch 330 million people and calls it a product. No vote was taken, the law was passed, and no citizen was consulted. Just one billionaire, one investor meeting, and one vision for a world where everyone is watched and told to behave.

StockMarket.News

488,339 görüntüleme • 5 ay önce

"One of the key ways in which they are trying to push back against the force of reality with what is happening in Gaza has been Talk But what is TalkTV, this patriotic alternative to cancel culture? Well, it was founded by Rupert Murdoch and is part of his News Corp empire. But there’s something about Rupert Murdoch’s relationship with Israeli intelligence that the world should know: In 1988, Rupert Murdoch helped to found an organisation that would go onto be called the NDS Group (currently known as Synamedia) at Weizmann Institute in Israel. It was later alleged that this organisation, the NDS Group, which became a subsidiary of News Corp, had hacked the communications of rivals and hacked the channels of rivals and placed them for free on the internet in the early 2000s. Not only were Rupert Murdoch’s two sons on the board of the NDS Group, but there were also some more interesting figured behind them. The CEO of NDS Group was Abe Peled. Abe Peled was a technical officer in the Israeli Infantry Corps. The head of security was Reuven Hazak. Reuven Hazak was the deputy director of Israel’s internal intelligence agency, Shin Bet. The chief technical director was Yossi Tsuria, who was a member of a settler group which attempted to blow up Al-Aqsa mosque. So what you have here is an Israeli company owned by Rupert Murdoch, staffed by former Israeli military and intelligence personnel, which stands accused of hacking rivals in order to benefit Rupert Murdoch’s media empire. Murdoch’s charitable arm, the News Corp Foundation, donated money in 2007 to The Jerusalem Foundation. The Jerusalem Foundation builds in illegal settlements in Sheikh Jarrah and East Jerusalem. We also know that Murdoch’s sons have a close relationship with Benjamin Netanyahu. In addition to that, Rupert Murdoch was on the board of Genie Energy - an oil and gas company - when it had contracts in Israeli-occupied Syrian Golan Heights. .Sam Kiley, the Africa correspondent’s at The Times newspaper resigned from his position, claiming that Murdoch’s close friendship with Ariel Sharon and investments in Israel prevented The Times newspaper from being able to cover Palestine and Israel in an objective way. Any information which is coming through TalkTV or other Murdoch-owned news channels or papers, is likely to be deeply biased in the direction of Israel.”
3:24

"One of the key ways in which they are trying to push back against the force of reality with what is happening in Gaza has been Talk But what is TalkTV, this patriotic alternative to cancel culture? Well, it was founded by Rupert Murdoch and is part of his News Corp empire. But there’s something about Rupert Murdoch’s relationship with Israeli intelligence that the world should know: In 1988, Rupert Murdoch helped to found an organisation that would go onto be called the NDS Group (currently known as Synamedia) at Weizmann Institute in Israel. It was later alleged that this organisation, the NDS Group, which became a subsidiary of News Corp, had hacked the communications of rivals and hacked the channels of rivals and placed them for free on the internet in the early 2000s. Not only were Rupert Murdoch’s two sons on the board of the NDS Group, but there were also some more interesting figured behind them. The CEO of NDS Group was Abe Peled. Abe Peled was a technical officer in the Israeli Infantry Corps. The head of security was Reuven Hazak. Reuven Hazak was the deputy director of Israel’s internal intelligence agency, Shin Bet. The chief technical director was Yossi Tsuria, who was a member of a settler group which attempted to blow up Al-Aqsa mosque. So what you have here is an Israeli company owned by Rupert Murdoch, staffed by former Israeli military and intelligence personnel, which stands accused of hacking rivals in order to benefit Rupert Murdoch’s media empire. Murdoch’s charitable arm, the News Corp Foundation, donated money in 2007 to The Jerusalem Foundation. The Jerusalem Foundation builds in illegal settlements in Sheikh Jarrah and East Jerusalem. We also know that Murdoch’s sons have a close relationship with Benjamin Netanyahu. In addition to that, Rupert Murdoch was on the board of Genie Energy - an oil and gas company - when it had contracts in Israeli-occupied Syrian Golan Heights. .Sam Kiley, the Africa correspondent’s at The Times newspaper resigned from his position, claiming that Murdoch’s close friendship with Ariel Sharon and investments in Israel prevented The Times newspaper from being able to cover Palestine and Israel in an objective way. Any information which is coming through TalkTV or other Murdoch-owned news channels or papers, is likely to be deeply biased in the direction of Israel.”

Naila

35,918 görüntüleme • 2 yıl önce

The rules of professional product development are being rewritten in real time. - PMs and designers can ship software as easily as engineers. - Software is no longer just built for humans—it’s also built for agents as first-class citizens. To better understand how we build products in this world, I invited Mike Krieger (Mike Krieger) on Every 📧’s AI & I podcast. Mike cofounded Instagram and is now a member of the technical staff at Anthropic, co-leading Anthropic Labs, their internal incubator for experimental products. He's been at the frontier of two transformative technology waves: mobile/social and now agent-native software. We discussed: - How to build a truly agent-native product. The best products today, like Claude Code, allow users to do things that their creators never intended. But that requires hard trade-offs between freedom and safety/reliability for frontier products, an issue that Mike's team is learning how to solve. - What's different about building now versus building Instagram. At Instagram, it took months to hit dead ends and learn what to cut. Now, that cycle runs in hours. - The trap of building too much, too fast with agents. You can go from idea to a nearly-shipped product in a day, but that process doesn’t give you the incremental feedback that used to tell you what not to build. The models are great at adding features, but can create a product that lacks coherence. - How Anthropic Labs structures product teams. New product experiments are led by only two people, usually a product manager or designer paired with an engineer. Mike says bigger teams tend to be too slow because of coordination costs. - Why you need to throw out your product and start over every three to six months. AI progress means most of your harness will be outdated quickly—the best teams build this into their product strategy. And much more! You should watch this one. Timestamps Introduction: What's gotten easier—and what hasn't—about building products in the age of AI: Why vibe coding creates "indoor trees": How rewrites have become a normal part of the development process: What "agent native" product design means: How Mike's labs team is structured and the cofounder model: The best signal for a product bet is someone with "break through walls" conviction: Navigating enterprise customers while keeping pace with rapid AI change: OpenClaw, personal agents, and the product question defining 2026:
48:29

The rules of professional product development are being rewritten in real time. - PMs and designers can ship software as easily as engineers. - Software is no longer just built for humans—it’s also built for agents as first-class citizens. To better understand how we build products in this world, I invited Mike Krieger (Mike Krieger) on Every 📧’s AI & I podcast. Mike cofounded Instagram and is now a member of the technical staff at Anthropic, co-leading Anthropic Labs, their internal incubator for experimental products. He's been at the frontier of two transformative technology waves: mobile/social and now agent-native software. We discussed: - How to build a truly agent-native product. The best products today, like Claude Code, allow users to do things that their creators never intended. But that requires hard trade-offs between freedom and safety/reliability for frontier products, an issue that Mike's team is learning how to solve. - What's different about building now versus building Instagram. At Instagram, it took months to hit dead ends and learn what to cut. Now, that cycle runs in hours. - The trap of building too much, too fast with agents. You can go from idea to a nearly-shipped product in a day, but that process doesn’t give you the incremental feedback that used to tell you what not to build. The models are great at adding features, but can create a product that lacks coherence. - How Anthropic Labs structures product teams. New product experiments are led by only two people, usually a product manager or designer paired with an engineer. Mike says bigger teams tend to be too slow because of coordination costs. - Why you need to throw out your product and start over every three to six months. AI progress means most of your harness will be outdated quickly—the best teams build this into their product strategy. And much more! You should watch this one. Timestamps Introduction: What's gotten easier—and what hasn't—about building products in the age of AI: Why vibe coding creates "indoor trees": How rewrites have become a normal part of the development process: What "agent native" product design means: How Mike's labs team is structured and the cofounder model: The best signal for a product bet is someone with "break through walls" conviction: Navigating enterprise customers while keeping pace with rapid AI change: OpenClaw, personal agents, and the product question defining 2026:

Dan Shipper 📧

58,849 görüntüleme • 4 ay önce

OpenLedger X Morpheus The partnership of openledger with Morpheus enables Use Morpheus to build "The Autonomous Smart Contract Engineer" on top of OpenLedger. What is Morpheus? Morpheus is a Web3-native AI coding agent that turns natural language into executable smart contracts and full-stack dApps. It is powered by a specialized Solidity model built on top of OpenLedger, tailored for the unique demands of secure and efficient onchain development. It goes beyond code generation. Using fine-tuned models, agent-based architecture, and modular plugin support, Morpheus automates the entire development pipeline-from writing and simulating contracts to deploying and maintaining them. Its mission is to reduce the barrier to dApp creation while enabling autonomous agents and individuals to participate in decentralized economies. Why OpenLedger? The rise of AI agents in Web3 raises urgent questions around transparency, attribution, explainability, and contributor incentives. OpenLedger provides the infrastructure to ensure that contributor data used in model outputs is recorded with verifiable attribution. Through Proof of Attribution, contributors-whether they provide prompts, datasets, or logic refinements-can receive credit and rewards when their work influences model behavior. But attribution alone isn’t enough. In critical domains like smart contract deployment, DeFi automation, and DAO governance, understanding why a model made a decision is just as important as the output itself. OpenLedger supports explainability by linking outputs back to their original data sources-allowing developers and auditors to trace logic, validate decisions, and build trust in AI-powered systems. OpenLedger supports Morpheus by: Recording which data was used in generating model outputs Enabling verifiable attribution of contributed datasets Powering reward mechanisms for contributors Offering scalable and efficient model execution via OpenLoRA Supporting transparency and traceability in model decision-making This creates an open, rewardable foundation for AI-driven coding-without relying on opaque systems. How is the system built? The Morpheus architecture has three layers: Datanet Layer OpenLedger powers Morpheus with a specialized Datanet - a decentralized data layer where developers, auditors, and contributors can share smart contract patterns, audit logs, exploit reports, and logic modules. Each submission is recorded onchain with attribution using OpenLedger’s Proof of Attribution. As the model learns and evolves from this data, contributors receive rewards proportional to their impact on future outputs. The Morpheus architecture has two layers: Intent Layer Users describe what they want to build. Example: "Create a token with tax logic that routes to a DAO." Morpheus parses the instruction, retrieves relevant contract types, and plans a modular execution flow. Agent Layer The agent generates, tests, and assembles the contract. It handles versioning, logic validation, and deployment readiness. Security checks-reentrancy protection, overflow control, gas modeling-are embedded into the generation phase. Generated outputs are mapped to their source data using OpenLedger’s Proof of Attribution, providing traceability across the pipeline. How does the AI model work? Morpheus is being powered by a specialized Solidity model built on top of OpenLedger. This model is purpose-built to handle the nuances of smart contract logic, security, and upgradeability. Unlike generalized coding agents, it is designed specifically for EVM environments and Web3 use cases, drawing from real protocol data and security best practices. Morpheus is fine-tuned on a vertical stack of smart contract data: Audited protocol code (e.g., Uniswap V4, Compound) OpenZeppelin libraries and EIP reference implementations Smart contract vulnerability reports and exploit reconstructions Edge cases from fuzz testing and adversarial examples It uses models like CodeLlama and DeepSeek-Coder, enhanced through RAG pipelines referencing standardized security patterns and emerging protocol designs. This training stack is integrated into a continuous feedback loop, enabling real-time specialization for EVM and beyond. Why a specialized model is needed? Smart contract development is uniquely high-stakes. A generalized AI model is not enough. As 'vibe coding' and natural language programming become more common, we're seeing an influx of AI-generated code in Web3 as well. But smart contracts are not frontends or prototypes-they govern real value, enforce trustless execution, and often become immutable after deployment. Billions have been lost in Web3 due to bugs and inefficiencies: In 2022 alone, over $3.8 billion was stolen due to smart contract exploits, many of which stemmed from avoidable issues like reentrancy, integer overflows, or access control failures. Inefficient contract structures lead to unnecessary gas consumption. Optimizing for gas can reduce costs by up to 40%, saving projects millions over time. Upgradeable contract patterns, like UUPS or Transparent Proxies, require strict adherence to storage layout and initialization rules. Mistakes here often go undetected by generic models and can render a contract unupgradeable or vulnerable. A specialized Solidity model is trained on real-world exploits, EIP standards, and libraries like OpenZeppelin to: Generate secure, gas-efficient code by default Recognize and correctly implement complex proxy patterns Map user intent to modular, auditable contract architectures Incorporate battle-tested logic from audited protocols and fuzz-tested edge cases Morpheus goes beyond syntax-it understands the nuances of decentralized infrastructure and deploys code that meets production-grade standards. What applications will this enable Token creation with built-in logic (tax, liquidity, governance) DeFi automations triggered by market conditions Payment contracts between agents and contributors DAO tooling with dynamic NFT-based voting Cross-chain bridging logic tied to real-world oracles Asset issuance flows through chat-based interfaces Natural language contract templates with reusable logic Each of these flows is backed by OpenLedger’s Proof of Attribution-ensuring traceability, explainability, and fair rewards across the ecosystem. This is the future of AI-native development. Open. Attributed. Explainable. Community-powered. Morpheus and OpenLedger are building the first system for autonomous coding agents where: Contributor work is recorded onchain Reuse is incentivized through attribution Model outputs are traceable and explainable Contracts evolve through human-agent collaboration Anyone can contribute prompts, logic, or flows-and get rewarded The smart contract engineer is no longer a human-only role. It is an agentic, decentralized, and transparent process-powered by OpenLedger.
0:28

OpenLedger X Morpheus The partnership of openledger with Morpheus enables Use Morpheus to build "The Autonomous Smart Contract Engineer" on top of OpenLedger. What is Morpheus? Morpheus is a Web3-native AI coding agent that turns natural language into executable smart contracts and full-stack dApps. It is powered by a specialized Solidity model built on top of OpenLedger, tailored for the unique demands of secure and efficient onchain development. It goes beyond code generation. Using fine-tuned models, agent-based architecture, and modular plugin support, Morpheus automates the entire development pipeline-from writing and simulating contracts to deploying and maintaining them. Its mission is to reduce the barrier to dApp creation while enabling autonomous agents and individuals to participate in decentralized economies. Why OpenLedger? The rise of AI agents in Web3 raises urgent questions around transparency, attribution, explainability, and contributor incentives. OpenLedger provides the infrastructure to ensure that contributor data used in model outputs is recorded with verifiable attribution. Through Proof of Attribution, contributors-whether they provide prompts, datasets, or logic refinements-can receive credit and rewards when their work influences model behavior. But attribution alone isn’t enough. In critical domains like smart contract deployment, DeFi automation, and DAO governance, understanding why a model made a decision is just as important as the output itself. OpenLedger supports explainability by linking outputs back to their original data sources-allowing developers and auditors to trace logic, validate decisions, and build trust in AI-powered systems. OpenLedger supports Morpheus by: Recording which data was used in generating model outputs Enabling verifiable attribution of contributed datasets Powering reward mechanisms for contributors Offering scalable and efficient model execution via OpenLoRA Supporting transparency and traceability in model decision-making This creates an open, rewardable foundation for AI-driven coding-without relying on opaque systems. How is the system built? The Morpheus architecture has three layers: Datanet Layer OpenLedger powers Morpheus with a specialized Datanet - a decentralized data layer where developers, auditors, and contributors can share smart contract patterns, audit logs, exploit reports, and logic modules. Each submission is recorded onchain with attribution using OpenLedger’s Proof of Attribution. As the model learns and evolves from this data, contributors receive rewards proportional to their impact on future outputs. The Morpheus architecture has two layers: Intent Layer Users describe what they want to build. Example: "Create a token with tax logic that routes to a DAO." Morpheus parses the instruction, retrieves relevant contract types, and plans a modular execution flow. Agent Layer The agent generates, tests, and assembles the contract. It handles versioning, logic validation, and deployment readiness. Security checks-reentrancy protection, overflow control, gas modeling-are embedded into the generation phase. Generated outputs are mapped to their source data using OpenLedger’s Proof of Attribution, providing traceability across the pipeline. How does the AI model work? Morpheus is being powered by a specialized Solidity model built on top of OpenLedger. This model is purpose-built to handle the nuances of smart contract logic, security, and upgradeability. Unlike generalized coding agents, it is designed specifically for EVM environments and Web3 use cases, drawing from real protocol data and security best practices. Morpheus is fine-tuned on a vertical stack of smart contract data: Audited protocol code (e.g., Uniswap V4, Compound) OpenZeppelin libraries and EIP reference implementations Smart contract vulnerability reports and exploit reconstructions Edge cases from fuzz testing and adversarial examples It uses models like CodeLlama and DeepSeek-Coder, enhanced through RAG pipelines referencing standardized security patterns and emerging protocol designs. This training stack is integrated into a continuous feedback loop, enabling real-time specialization for EVM and beyond. Why a specialized model is needed? Smart contract development is uniquely high-stakes. A generalized AI model is not enough. As 'vibe coding' and natural language programming become more common, we're seeing an influx of AI-generated code in Web3 as well. But smart contracts are not frontends or prototypes-they govern real value, enforce trustless execution, and often become immutable after deployment. Billions have been lost in Web3 due to bugs and inefficiencies: In 2022 alone, over $3.8 billion was stolen due to smart contract exploits, many of which stemmed from avoidable issues like reentrancy, integer overflows, or access control failures. Inefficient contract structures lead to unnecessary gas consumption. Optimizing for gas can reduce costs by up to 40%, saving projects millions over time. Upgradeable contract patterns, like UUPS or Transparent Proxies, require strict adherence to storage layout and initialization rules. Mistakes here often go undetected by generic models and can render a contract unupgradeable or vulnerable. A specialized Solidity model is trained on real-world exploits, EIP standards, and libraries like OpenZeppelin to: Generate secure, gas-efficient code by default Recognize and correctly implement complex proxy patterns Map user intent to modular, auditable contract architectures Incorporate battle-tested logic from audited protocols and fuzz-tested edge cases Morpheus goes beyond syntax-it understands the nuances of decentralized infrastructure and deploys code that meets production-grade standards. What applications will this enable Token creation with built-in logic (tax, liquidity, governance) DeFi automations triggered by market conditions Payment contracts between agents and contributors DAO tooling with dynamic NFT-based voting Cross-chain bridging logic tied to real-world oracles Asset issuance flows through chat-based interfaces Natural language contract templates with reusable logic Each of these flows is backed by OpenLedger’s Proof of Attribution-ensuring traceability, explainability, and fair rewards across the ecosystem. This is the future of AI-native development. Open. Attributed. Explainable. Community-powered. Morpheus and OpenLedger are building the first system for autonomous coding agents where: Contributor work is recorded onchain Reuse is incentivized through attribution Model outputs are traceable and explainable Contracts evolve through human-agent collaboration Anyone can contribute prompts, logic, or flows-and get rewarded The smart contract engineer is no longer a human-only role. It is an agentic, decentralized, and transparent process-powered by OpenLedger.

OpenLedger

46,944 görüntüleme • 1 yıl önce

🚨 NEW Episode w Michael Sutton vProgs MasterClass (MUST WATCH) Full Youtube - CC Yonatan Sompolinsky FreshAir08 In this exclusive 90-minute deep-dive, Ankit sits down with Michael Sutton, Co-Author of #KASPA #vProgs, for the most comprehensive explanation of vProgs (Verifiable Programs) to date. This isn't just another crypto interview - it's a masterclass in next-generation blockchain architecture. This is the conversation that will define how we think about blockchain scalability, liquidity fragmentation, and the future of decentralized applications. vProgs represent #Kaspa's answer to what many consider blockchain's greatest unsolved problem: the fragmentation crisis. While Ethereum's rollups trap developers and users in isolated silos (Base, Arbitrum, Optimism), vProgs create a unified, one-dimensional space where programs can synchronously compose while maintaining sovereignty. Michael Sutton breaks down complex concepts like #basedrollups, canonical ordering, #computationalDAGs, and #synchronouscomposability into understandable explanations. Whether you're a developer evaluating blockchain platforms, a researcher studying L2 solutions, or an investor trying to understand #Kaspa's technological edge, this episode provides the clarity you need. What makes vProgs revolutionary? Unlike traditional L2s that require trust assumptions and complex bridging, vProgs inherit L1 security directly, eliminate censorship risks, and create true unified liquidity through atomic composability. The experience? As Michael explains, it should feel "as if programs are on L1" despite executing off-chain with ZK proof verification. TOPICS DISCUSSED: vProgs Fundamentals - What they are and why they're called "verifiable programs" instead of smart contracts Single Sequencer Architecture - How Kaspa L1 enables synchronous composability that fragmented L2s cannot achieve. Based Rollups Superiority - Why having all roles on L1 eliminates trust assumptions and inherits full security Ethereum's Fragmentation Problem - The "failure supernova" that inspired Kaspa to design differently from day one One vs Two-Dimensional Liquidity - Why current L2s trap users in bundles and how Vprogs solve this Unified Liquidity & Asset Hubs - Creating a single liquidity space without bridges or fragmentation L1 Experience on L2 - How atomic composability makes off-chain execution feel native• Multiple VM Support - Supporting different virtual machines (Solana-style, EVM-adapted) as templates Validity Proofs vs Zero-Knowledge - Clarifying the cryptographic architecture behind vProgs Sovereignty + Composability - Balancing program independence with seamless communication ComputationalDAG - The breakthrough that made the entire vision click into place -------------------- This video is for educational purposes only and not financial advice. Always conduct your own research before engaging with blockchain projects or investments. #vProgs #kaspa #kaspa #kaspacurrency #kaspaupdates #kaspaecosystem #kaspanews
0:41

🚨 NEW Episode w Michael Sutton vProgs MasterClass (MUST WATCH) Full Youtube - CC Yonatan Sompolinsky FreshAir08 In this exclusive 90-minute deep-dive, Ankit sits down with Michael Sutton, Co-Author of #KASPA #vProgs, for the most comprehensive explanation of vProgs (Verifiable Programs) to date. This isn't just another crypto interview - it's a masterclass in next-generation blockchain architecture. This is the conversation that will define how we think about blockchain scalability, liquidity fragmentation, and the future of decentralized applications. vProgs represent #Kaspa's answer to what many consider blockchain's greatest unsolved problem: the fragmentation crisis. While Ethereum's rollups trap developers and users in isolated silos (Base, Arbitrum, Optimism), vProgs create a unified, one-dimensional space where programs can synchronously compose while maintaining sovereignty. Michael Sutton breaks down complex concepts like #basedrollups, canonical ordering, #computationalDAGs, and #synchronouscomposability into understandable explanations. Whether you're a developer evaluating blockchain platforms, a researcher studying L2 solutions, or an investor trying to understand #Kaspa's technological edge, this episode provides the clarity you need. What makes vProgs revolutionary? Unlike traditional L2s that require trust assumptions and complex bridging, vProgs inherit L1 security directly, eliminate censorship risks, and create true unified liquidity through atomic composability. The experience? As Michael explains, it should feel "as if programs are on L1" despite executing off-chain with ZK proof verification. TOPICS DISCUSSED: vProgs Fundamentals - What they are and why they're called "verifiable programs" instead of smart contracts Single Sequencer Architecture - How Kaspa L1 enables synchronous composability that fragmented L2s cannot achieve. Based Rollups Superiority - Why having all roles on L1 eliminates trust assumptions and inherits full security Ethereum's Fragmentation Problem - The "failure supernova" that inspired Kaspa to design differently from day one One vs Two-Dimensional Liquidity - Why current L2s trap users in bundles and how Vprogs solve this Unified Liquidity & Asset Hubs - Creating a single liquidity space without bridges or fragmentation L1 Experience on L2 - How atomic composability makes off-chain execution feel native• Multiple VM Support - Supporting different virtual machines (Solana-style, EVM-adapted) as templates Validity Proofs vs Zero-Knowledge - Clarifying the cryptographic architecture behind vProgs Sovereignty + Composability - Balancing program independence with seamless communication ComputationalDAG - The breakthrough that made the entire vision click into place -------------------- This video is for educational purposes only and not financial advice. Always conduct your own research before engaging with blockchain projects or investments. #vProgs #kaspa #kaspa #kaspacurrency #kaspaupdates #kaspaecosystem #kaspanews

XXIM Podcast

77,238 görüntüleme • 9 ay önce

That's a terrible take from Peter McCormack 🏴‍☠️🇬🇧🇮🇪. I don't hold any $ADA, and I don't even like Cardano much, but this post is highly misleading and the fruit of misinformation. Peter should do his research better. This Cardano Bitcoin implementation is apparently far more secure than most Lightning Network implementations, for example, which he used to promote relentlessly to his followers. Maxis will be maxis, I guess. 🤷 - I asked OpenAI o1 via Nano-GPT to review and analyze BOS whitepaper, commenting on the trade-offs, vulnerabilities, risks, and BTC influencers calling it a scam. Here's what the AI said: The BitcoinOS whitepaper introduces **BitSNARK** and **Grail**, proposing an innovative approach to enhance Bitcoin's functionality by enabling trustless and secure bridges between Bitcoin and other blockchain networks, such as Cardano. The core of this proposal is to optimize the recently introduced **BitVM** paradigm for verifying zk-SNARK proofs on the Bitcoin blockchain without altering Bitcoin's consensus rules. Below, I provide an analysis of the whitepaper, its security implications compared to existing Layer 2 (L2) solutions like the Lightning Network and Liquid, potential trade-offs and vulnerabilities, user considerations to mitigate risks, and its prospects for the future. Additionally, I will address the criticisms from Bitcoin maximalists labeling it a "scam." --- ### **Overview of BitSNARK and Grail** **BitVM Overview** - **BitVM**, introduced by Robin Linus in December 2023, allows for Turing-complete computations on Bitcoin by leveraging an interactive protocol between parties to verify off-chain computations. - It opens the possibility for near trustless rollup bridges on Bitcoin without changing its consensus rules. - However, BitVM, being general-purpose, is not optimized for specific tasks like SNARK verification, leading to practical implementation challenges. **BitSNARK's Innovations** - **BitSNARK** builds upon BitVM but focuses specifically on verifying zk-SNARK proofs efficiently on the Bitcoin blockchain. - It introduces a simplified virtual machine (VM) with only three instructions optimized for finite field calculations required in zk-SNARK verification: - `addmod` for modular addition. - `andbit` for bitwise operations. - `equal` for equality checks. - By reducing complexity, BitSNARK improves program size by an order of magnitude and reduces challenge/response lengths by up to 50%. - It simplifies the challenge protocol to a single type, enhancing security and auditability. **Grail Bridge Implementation** - **Grail** is an implementation of BitSNARK, aiming to provide a practical and scalable Bitcoin Rollup Bridge. - It enables users to transfer assets between the Bitcoin mainchain (Layer 1) and Layer 2 networks (rollups) securely. - Grail relies on a set of **operators** who participate in the protocol to facilitate deposits and withdrawals. - Operators engage in an interactive verification protocol, ensuring that zk-SNARK proofs are correctly verified on-chain. - The system incentivizes honest participation through economic incentives and penalties. --- ### **Security Analysis** #### **Comparison with Existing L2 Solutions** **Lightning Network** - **Pros:** - Offers fast, low-cost transactions off-chain. - Preserves Bitcoin's on-chain privacy features. - **Cons:** - Requires continuous network connectivity. - Involves counterparty risk due to channel management. - Limited in handling complex smart contracts or interoperability with other chains. **Liquid Network** - **Pros:** - Federated sidechain allowing faster transactions and confidential assets. - Enables issuance of new assets and atomic swaps. - **Cons:** - Federation model introduces trust assumptions. - Less decentralized due to reliance on functionaries. **BitSNARK and Grail** - **Pros:** - Enables verification of zk-SNARK proofs on Bitcoin without consensus changes. - Facilitates truly trustless and decentralized bridges to other chains. - Reduces complexity and enhances efficiency compared to BitVM. - Operators' incentives align to maintain security without requiring majority trust. - **Cons:** - Relies on an interactive protocol between operators, potentially increasing complexity. - New technology may have undiscovered vulnerabilities. - Requires widespread operator participation for robustness. #### **Potential Vulnerabilities** 1. **Operator Collusion or Malfeasance:** - If operators collude, they could potentially censor transactions or delay withdrawals. - Mitigation: Implement robust economic incentives and penalties, and promote decentralization by encouraging more operators to participate. 2. **Interactive Protocol Risks:** - The interactive verification protocol relies on timely responses; delays or Denial-of-Service (DoS) attacks could disrupt the protocol. - Mitigation: Incorporate timeouts and fail-safes, and design protocols resilient to network latency and attacks. 3. **Smart Contract Bugs:** - Bugs in the implementation of BitSNARK VM or the Grail protocol could be exploited. - Mitigation: Conduct thorough code audits, formal verification, and testing on testnets before mainnet deployment. 4. **Cryptographic Assumptions:** - The security relies on the cryptographic primitives used in zk-SNARKs and their correct implementation. - Mitigation: Use well-established cryptographic libraries and stay updated on advancements in cryptanalysis. 5. **Scalability Concerns:** - Although more efficient than BitVM, running zk-SNARK verifications on-chain is resource-intensive. - Mitigation: Optimize the implementation further and possibly leverage layer 2 solutions for certain computations. --- ### **Trade-offs and User Considerations** **Trade-offs:** - **Complexity vs. Functionality:** - BitSNARK simplifies the computation model but requires users and operators to understand and trust a new protocol. - **Decentralization vs. Performance:** - The security model relies on operators; increasing the number of operators enhances decentralization but may impact performance due to coordination overhead. - **Innovation vs. Maturity:** - As a novel solution, it lacks the battle-tested resilience of existing L2 solutions like the Lightning Network. **User Considerations:** 1. **Counterparty Risk:** - Users should be aware that the system's security depends on operators; participation of reputable operators is crucial. - **Recommendation:** Use the bridge when a sufficient number of trusted operators are active. 2. **Protocol Familiarity:** - Users need to understand the withdrawal and dispute processes. - **Recommendation:** Educate users through clear documentation and user-friendly interfaces. 3. **Security Practices:** - Be cautious with private keys and exit secrets, especially for operators. - **Recommendation:** Implement best practices for key management and consider hardware wallets. 4. **Monitoring Network Conditions:** - Network congestion or attacks could affect transaction confirmations. - **Recommendation:** Monitor network status and set appropriate fees for timely confirmations. --- ### **Potential for the Future** - **Solving the Scalability Trilemma:** - BitSNARK and Grail present a promising approach to achieving scalability, expressivity, and decentralization on Bitcoin. - **Interoperability:** - Enables Bitcoin to interact trustlessly with other chains, expanding its utility beyond a store of value. - **Innovation Catalyst:** - May inspire further research and development in Bitcoin's smart contract capabilities. --- ### **Addressing the "Scam" Accusations by Bitcoin Maximalists** **Criticisms:** - **Skepticism of Altering Bitcoin's Core Principles:** - Some Bitcoin maximalists may view this proposal as deviating from Bitcoin's original purpose. - **Fear of Centralization Risks:** - Concerns that introducing complex protocols could introduce central points of failure. **Counterarguments:** - **Maintaining Consensus Rules:** - BitSNARK operates without changing Bitcoin's consensus rules, preserving its core principles. - **Enhancing Bitcoin's Utility:** - The proposal aims to expand Bitcoin's capabilities while upholding decentralization and security. - **Economic Incentives for Security:** - The design relies on economic incentives aligning participants' interests with the network's security. **Conclusion:** - **Healthy Skepticism is Beneficial:** - Critiques promote rigorous security assessments and robustness. - **Innovation Requires Open-mindedness:** - Dismissing new ideas outright may hinder Bitcoin's evolution and adaptability. - **Focus on Merits and Risks:** - A balanced evaluation considering potential benefits and drawbacks is essential. --- ### **Final Thoughts** The BitcoinOS whitepaper introduces a significant advancement in enabling trustless and secure interoperability between Bitcoin and other blockchain networks. By optimizing for zk-SNARK verification through BitSNARK and implementing the Grail bridge, it aims to address long-standing scalability and functionality limitations. While promising, it is crucial to approach this innovation with careful scrutiny, thorough testing, and a commitment to security best practices. Users and stakeholders should remain informed, participate in community discussions, and contribute to the development and auditing processes to ensure the system's robustness and integrity.
0:50

That's a terrible take from Peter McCormack 🏴‍☠️🇬🇧🇮🇪. I don't hold any $ADA, and I don't even like Cardano much, but this post is highly misleading and the fruit of misinformation. Peter should do his research better. This Cardano Bitcoin implementation is apparently far more secure than most Lightning Network implementations, for example, which he used to promote relentlessly to his followers. Maxis will be maxis, I guess. 🤷 - I asked OpenAI o1 via Nano-GPT to review and analyze BOS whitepaper, commenting on the trade-offs, vulnerabilities, risks, and BTC influencers calling it a scam. Here's what the AI said: The BitcoinOS whitepaper introduces **BitSNARK** and **Grail**, proposing an innovative approach to enhance Bitcoin's functionality by enabling trustless and secure bridges between Bitcoin and other blockchain networks, such as Cardano. The core of this proposal is to optimize the recently introduced **BitVM** paradigm for verifying zk-SNARK proofs on the Bitcoin blockchain without altering Bitcoin's consensus rules. Below, I provide an analysis of the whitepaper, its security implications compared to existing Layer 2 (L2) solutions like the Lightning Network and Liquid, potential trade-offs and vulnerabilities, user considerations to mitigate risks, and its prospects for the future. Additionally, I will address the criticisms from Bitcoin maximalists labeling it a "scam." --- ### **Overview of BitSNARK and Grail** **BitVM Overview** - **BitVM**, introduced by Robin Linus in December 2023, allows for Turing-complete computations on Bitcoin by leveraging an interactive protocol between parties to verify off-chain computations. - It opens the possibility for near trustless rollup bridges on Bitcoin without changing its consensus rules. - However, BitVM, being general-purpose, is not optimized for specific tasks like SNARK verification, leading to practical implementation challenges. **BitSNARK's Innovations** - **BitSNARK** builds upon BitVM but focuses specifically on verifying zk-SNARK proofs efficiently on the Bitcoin blockchain. - It introduces a simplified virtual machine (VM) with only three instructions optimized for finite field calculations required in zk-SNARK verification: - `addmod` for modular addition. - `andbit` for bitwise operations. - `equal` for equality checks. - By reducing complexity, BitSNARK improves program size by an order of magnitude and reduces challenge/response lengths by up to 50%. - It simplifies the challenge protocol to a single type, enhancing security and auditability. **Grail Bridge Implementation** - **Grail** is an implementation of BitSNARK, aiming to provide a practical and scalable Bitcoin Rollup Bridge. - It enables users to transfer assets between the Bitcoin mainchain (Layer 1) and Layer 2 networks (rollups) securely. - Grail relies on a set of **operators** who participate in the protocol to facilitate deposits and withdrawals. - Operators engage in an interactive verification protocol, ensuring that zk-SNARK proofs are correctly verified on-chain. - The system incentivizes honest participation through economic incentives and penalties. --- ### **Security Analysis** #### **Comparison with Existing L2 Solutions** **Lightning Network** - **Pros:** - Offers fast, low-cost transactions off-chain. - Preserves Bitcoin's on-chain privacy features. - **Cons:** - Requires continuous network connectivity. - Involves counterparty risk due to channel management. - Limited in handling complex smart contracts or interoperability with other chains. **Liquid Network** - **Pros:** - Federated sidechain allowing faster transactions and confidential assets. - Enables issuance of new assets and atomic swaps. - **Cons:** - Federation model introduces trust assumptions. - Less decentralized due to reliance on functionaries. **BitSNARK and Grail** - **Pros:** - Enables verification of zk-SNARK proofs on Bitcoin without consensus changes. - Facilitates truly trustless and decentralized bridges to other chains. - Reduces complexity and enhances efficiency compared to BitVM. - Operators' incentives align to maintain security without requiring majority trust. - **Cons:** - Relies on an interactive protocol between operators, potentially increasing complexity. - New technology may have undiscovered vulnerabilities. - Requires widespread operator participation for robustness. #### **Potential Vulnerabilities** 1. **Operator Collusion or Malfeasance:** - If operators collude, they could potentially censor transactions or delay withdrawals. - Mitigation: Implement robust economic incentives and penalties, and promote decentralization by encouraging more operators to participate. 2. **Interactive Protocol Risks:** - The interactive verification protocol relies on timely responses; delays or Denial-of-Service (DoS) attacks could disrupt the protocol. - Mitigation: Incorporate timeouts and fail-safes, and design protocols resilient to network latency and attacks. 3. **Smart Contract Bugs:** - Bugs in the implementation of BitSNARK VM or the Grail protocol could be exploited. - Mitigation: Conduct thorough code audits, formal verification, and testing on testnets before mainnet deployment. 4. **Cryptographic Assumptions:** - The security relies on the cryptographic primitives used in zk-SNARKs and their correct implementation. - Mitigation: Use well-established cryptographic libraries and stay updated on advancements in cryptanalysis. 5. **Scalability Concerns:** - Although more efficient than BitVM, running zk-SNARK verifications on-chain is resource-intensive. - Mitigation: Optimize the implementation further and possibly leverage layer 2 solutions for certain computations. --- ### **Trade-offs and User Considerations** **Trade-offs:** - **Complexity vs. Functionality:** - BitSNARK simplifies the computation model but requires users and operators to understand and trust a new protocol. - **Decentralization vs. Performance:** - The security model relies on operators; increasing the number of operators enhances decentralization but may impact performance due to coordination overhead. - **Innovation vs. Maturity:** - As a novel solution, it lacks the battle-tested resilience of existing L2 solutions like the Lightning Network. **User Considerations:** 1. **Counterparty Risk:** - Users should be aware that the system's security depends on operators; participation of reputable operators is crucial. - **Recommendation:** Use the bridge when a sufficient number of trusted operators are active. 2. **Protocol Familiarity:** - Users need to understand the withdrawal and dispute processes. - **Recommendation:** Educate users through clear documentation and user-friendly interfaces. 3. **Security Practices:** - Be cautious with private keys and exit secrets, especially for operators. - **Recommendation:** Implement best practices for key management and consider hardware wallets. 4. **Monitoring Network Conditions:** - Network congestion or attacks could affect transaction confirmations. - **Recommendation:** Monitor network status and set appropriate fees for timely confirmations. --- ### **Potential for the Future** - **Solving the Scalability Trilemma:** - BitSNARK and Grail present a promising approach to achieving scalability, expressivity, and decentralization on Bitcoin. - **Interoperability:** - Enables Bitcoin to interact trustlessly with other chains, expanding its utility beyond a store of value. - **Innovation Catalyst:** - May inspire further research and development in Bitcoin's smart contract capabilities. --- ### **Addressing the "Scam" Accusations by Bitcoin Maximalists** **Criticisms:** - **Skepticism of Altering Bitcoin's Core Principles:** - Some Bitcoin maximalists may view this proposal as deviating from Bitcoin's original purpose. - **Fear of Centralization Risks:** - Concerns that introducing complex protocols could introduce central points of failure. **Counterarguments:** - **Maintaining Consensus Rules:** - BitSNARK operates without changing Bitcoin's consensus rules, preserving its core principles. - **Enhancing Bitcoin's Utility:** - The proposal aims to expand Bitcoin's capabilities while upholding decentralization and security. - **Economic Incentives for Security:** - The design relies on economic incentives aligning participants' interests with the network's security. **Conclusion:** - **Healthy Skepticism is Beneficial:** - Critiques promote rigorous security assessments and robustness. - **Innovation Requires Open-mindedness:** - Dismissing new ideas outright may hinder Bitcoin's evolution and adaptability. - **Focus on Merits and Risks:** - A balanced evaluation considering potential benefits and drawbacks is essential. --- ### **Final Thoughts** The BitcoinOS whitepaper introduces a significant advancement in enabling trustless and secure interoperability between Bitcoin and other blockchain networks. By optimizing for zk-SNARK verification through BitSNARK and implementing the Grail bridge, it aims to address long-standing scalability and functionality limitations. While promising, it is crucial to approach this innovation with careful scrutiny, thorough testing, and a commitment to security best practices. Users and stakeholders should remain informed, participate in community discussions, and contribute to the development and auditing processes to ensure the system's robustness and integrity.

Vini B |「 thecoding 」

58,614 görüntüleme • 1 yıl önce

BREAKING: GPT-5.6 Sol is out—AND Codex has been merged into ChatGPT Desktop as ChatGPT Codex. This combo model and desktop app harness are the gold-standard for knowledge work in AI. 5.6 is powerful, fast, half the price of Fable, and my default for almost everything. We’ve been testing it internally Every 🧱 for about a month across coding, writing, design, and knowledge work. Here’s our day-zero vibe check: - An A-tier coder—but it’s not Fable. Sol scored 56/100 on our Senior Engineer benchmark compared to a 91 for Fable. I think the 56/100 undersells it, it's an excellent implementor, and very smart. But Fable just writes conceptually cleaner code and works better at the top end of task complexity. PRO-TIP: Use GPT-5.6 as Fable's subagent for the most goated combo in AI coding. - The best writer of the frontier models. It’s clearer and more concise than Fable or Opus 4.8, without the overexplaining or weird private language. It can one-shot marketing emails, help you workshop taglines, and explain complex concepts clearly. It's also super fast, which makes it easy to collaborate with. - Design is better, but not top-tier. It has noticeably more taste than 5.5, but Fable and Opus 4.8 are still playing at a different level. See examples in the video and vibe check below. - The real leap is knowledge work. Sol is the first model I’ve trusted to run whole loops of knowledge work—not just help with individual tasks. I use it to process email, surface decisions from meetings and Slack, find job candidates, scan Facebook Marketplace for furniture, and log my meals. It has shifted my job from doing the work to tending the system that does it. - The merged app is fine. I was extremely worried about this because I love the Codex app. OpenAI was caught in an interesting position: How to make an agent orchestration app for regular ChatGPT consumers, coders, and businesses all in one app. They now split the interface between ChatGPT Work and ChatGPT Codex. They're basically the same except Work hides code. And "Chat" has been demoted to 2nd tier status for quick questions in either one. It's not a big leap, but it's not a huge setback either. And it remains my favorite of the desktop agent orchestration apps. Verdict: If I really had to put my finger on it, I'd say Fable has way more big model smell. But that means it's a skill in itself to get value out of it—99% of people are still not there yet. GPT-5.6 is almost as powerful, but is easy to use, fast, and relatively cheap. It should give you an early sense of where model work is going. Full Every 🧱 Vibe Check:
13:34

BREAKING: GPT-5.6 Sol is out—AND Codex has been merged into ChatGPT Desktop as ChatGPT Codex. This combo model and desktop app harness are the gold-standard for knowledge work in AI. 5.6 is powerful, fast, half the price of Fable, and my default for almost everything. We’ve been testing it internally Every 🧱 for about a month across coding, writing, design, and knowledge work. Here’s our day-zero vibe check: - An A-tier coder—but it’s not Fable. Sol scored 56/100 on our Senior Engineer benchmark compared to a 91 for Fable. I think the 56/100 undersells it, it's an excellent implementor, and very smart. But Fable just writes conceptually cleaner code and works better at the top end of task complexity. PRO-TIP: Use GPT-5.6 as Fable's subagent for the most goated combo in AI coding. - The best writer of the frontier models. It’s clearer and more concise than Fable or Opus 4.8, without the overexplaining or weird private language. It can one-shot marketing emails, help you workshop taglines, and explain complex concepts clearly. It's also super fast, which makes it easy to collaborate with. - Design is better, but not top-tier. It has noticeably more taste than 5.5, but Fable and Opus 4.8 are still playing at a different level. See examples in the video and vibe check below. - The real leap is knowledge work. Sol is the first model I’ve trusted to run whole loops of knowledge work—not just help with individual tasks. I use it to process email, surface decisions from meetings and Slack, find job candidates, scan Facebook Marketplace for furniture, and log my meals. It has shifted my job from doing the work to tending the system that does it. - The merged app is fine. I was extremely worried about this because I love the Codex app. OpenAI was caught in an interesting position: How to make an agent orchestration app for regular ChatGPT consumers, coders, and businesses all in one app. They now split the interface between ChatGPT Work and ChatGPT Codex. They're basically the same except Work hides code. And "Chat" has been demoted to 2nd tier status for quick questions in either one. It's not a big leap, but it's not a huge setback either. And it remains my favorite of the desktop agent orchestration apps. Verdict: If I really had to put my finger on it, I'd say Fable has way more big model smell. But that means it's a skill in itself to get value out of it—99% of people are still not there yet. GPT-5.6 is almost as powerful, but is easy to use, fast, and relatively cheap. It should give you an early sense of where model work is going. Full Every 🧱 Vibe Check:

Dan Shipper 📧

145,457 görüntüleme • 1 ay önce

Here's why $NEAR is a no-brainer in 2025 👇 Everybody loves NEAR Protocol and there is a reason for that (or many). Near is well-positioned to be one of the leading blockchain ecosystems this year. Let’s explore the “whys”. TIMESTAMPS Quick Bio – 00:00:15 Inflation Reduction Proposal – 00:00:43 Technically Speaking – 00:02:40 Near Intents – 00:03:37 Chain Signatures and AI – 00:04:39 Decentralization and DeFi – 00:05:59 I have my Near account since March 2023, but it has been inactive for a while, as I was focused on other stuff. However, the recent inflation halving proposal by HOT DAO (HOT Protocol 🔥) and LiNEAR (LiNEAR Protocol) brought my eyes back to the project and I really like what I’m seeing. So, here’s my first point. If this proposal passes, NEAR could lead the way in what appears to be a market trend of improving the tokenomics, as more and more experts realize holders have been overpaying for these networks' security, with a too high supply inflation. Solana tried something similar, but the proposal was rejected. In my opinion, validators voting favorably to that show a commitment to the chain for the long term. On the other hand, voting against it signals a short-term vision focused on milking the emissions as much as possible, at the ecosystem’s expense. The voting currently goes with 28% “YEA” votes, needing 66.76% to pass. Most of the validators who already cast their votes went with the yes. 2pilot, avb, openshards, qbit, sicmundus, fox, and intear are, so far, the only seven who voted “NAY”. This proposal has the vocal support of most influential figures in the Near ecosystem, including the Near Foundation (NEAR Foundation), led by Illia (root.near) (🇺🇦, ⋈), which makes me believe it will pass and show the power of the halving in getting the market’s attention and presenting a huge investment asymmetry for the native token right now. Is this everything I like about NEAR? Definitely not. This is just what got me looking at it again, just to discover a (very much) thriving ecosystem, full of interesting things happening at the same time. I’ll mention a few, but there is (much) more. Technically speaking, Near is a high-performance blockchain, with really low fees and one of the fastest finalities, with 600ms block time and approximately 1.8s finality. It also has my favorite architecture for internet-scale scalability, using sharding, while keeping a high decentralization standard. As a learning programmer, Near also has one of the best dev experiences (in my limited opinion). The documentation is clear, has a logical journey, presenting from the basic anatomy in details to more complex SDKs and tools. I’m also in love with the near-cli-rs. A command line interface program written in Rust for seamless interaction with the Near blockchain. Allowing wallet creation, chain query, sending transactions, staking, smart contract calls, and more. Near Intents. This was the second thing to get my attention, while studying the project again, and it sets a whole new standard for blockchain interactions, especially cross-chain. Basically, users can declare an intention (for example, swap Ethereum-USDT to Bitcoin) and a network of solvers, running on Near, will find the best path to accomplish this task. We recently saw an impressive 465k-worth swap happening in exactly this example, paying 0.55% of trading fees to thorswap.near and swapkit.near. According to a Dune Dashboard, the protocol accumulates nearly $400 million in volume since its launch not long ago, in November 2024. *obs.: half this volume was achieved in the last month. Massive! Near Intents is possible due to two other very interesting things: (i) Chain abstraction, and (ii) a solid AI infrastructure. Chain abstraction (via Chain Signatures) is a powerful interoperability feature, allowing Near to friendly connect different blockchains as if they were part of a single network. Users and devs benefit from wallet, address, fees, and cross-chain bridges abstractions - not even noticing they are interacting with multiple chains. One wallet that powers everything. Powered by Near. On AI, Near is just built differently. Not for the hype, but for the solution. The team has been looking for AI solutions much before the ChatGPT fever. Actually, they started as an AI company, pivoting to blockchain later. So, being one of the most promising networks for the growing AI economy was just the natural path to follow. There is an extensive and super complete research piece on that topic, recently published by Reflexivity Research (Reflexivity Research) on July 1st. It presents Near as an AI-optimized blockchain, covering AITP, Shade Agents, x402, Near Intents, and more. Definitely worth the reading. Wrapping up this content with one more aspect that really matters to me is how Near remains truthful to decentralization, data ownership, censorship-resistance and open-source primitives that have been increasingly abandoned by other key players. A simple example of that is how the Near Foundation decided to deprecate its public APIs, encouraging the surge of a more decentralized and competitive market of SaaS projects, with a highlight to Lava Network, that recently appeared in my timeline talking about that. DeFi is also huge on Near, leveraging all the previous properties I mentioned, creating a truly decentralized liquidity pool via Rhea Finance, connected with other chains like BTC, Ethereum, ZCash, and more. All that contributes to Near having the second-largest monthly active addresses, with nearly 50 million, only losing to Solana’s nearly 90 million. In the meantime, NEAR, the token, is not even at the 30rd position by market cap. Crazy stuff. To (finally) wrap it up, I also want to mention Near’s consensus decentralization. While having a low node-count, the network has a Nakamoto Coefficient of 11, which is not bad at all. Surely, there is still room for improvement, which is possible as becoming a validator is accessible staking and hardware-wise. If you liked this content, make sure to click the like bottom and share it around. Follow me on X or subscribe to my YouTube channel, both at vinibarbosabr. See ya!
7:52

Here's why $NEAR is a no-brainer in 2025 👇 Everybody loves NEAR Protocol and there is a reason for that (or many). Near is well-positioned to be one of the leading blockchain ecosystems this year. Let’s explore the “whys”. TIMESTAMPS Quick Bio – 00:00:15 Inflation Reduction Proposal – 00:00:43 Technically Speaking – 00:02:40 Near Intents – 00:03:37 Chain Signatures and AI – 00:04:39 Decentralization and DeFi – 00:05:59 I have my Near account since March 2023, but it has been inactive for a while, as I was focused on other stuff. However, the recent inflation halving proposal by HOT DAO (HOT Protocol 🔥) and LiNEAR (LiNEAR Protocol) brought my eyes back to the project and I really like what I’m seeing. So, here’s my first point. If this proposal passes, NEAR could lead the way in what appears to be a market trend of improving the tokenomics, as more and more experts realize holders have been overpaying for these networks' security, with a too high supply inflation. Solana tried something similar, but the proposal was rejected. In my opinion, validators voting favorably to that show a commitment to the chain for the long term. On the other hand, voting against it signals a short-term vision focused on milking the emissions as much as possible, at the ecosystem’s expense. The voting currently goes with 28% “YEA” votes, needing 66.76% to pass. Most of the validators who already cast their votes went with the yes. 2pilot, avb, openshards, qbit, sicmundus, fox, and intear are, so far, the only seven who voted “NAY”. This proposal has the vocal support of most influential figures in the Near ecosystem, including the Near Foundation (NEAR Foundation), led by Illia (root.near) (🇺🇦, ⋈), which makes me believe it will pass and show the power of the halving in getting the market’s attention and presenting a huge investment asymmetry for the native token right now. Is this everything I like about NEAR? Definitely not. This is just what got me looking at it again, just to discover a (very much) thriving ecosystem, full of interesting things happening at the same time. I’ll mention a few, but there is (much) more. Technically speaking, Near is a high-performance blockchain, with really low fees and one of the fastest finalities, with 600ms block time and approximately 1.8s finality. It also has my favorite architecture for internet-scale scalability, using sharding, while keeping a high decentralization standard. As a learning programmer, Near also has one of the best dev experiences (in my limited opinion). The documentation is clear, has a logical journey, presenting from the basic anatomy in details to more complex SDKs and tools. I’m also in love with the near-cli-rs. A command line interface program written in Rust for seamless interaction with the Near blockchain. Allowing wallet creation, chain query, sending transactions, staking, smart contract calls, and more. Near Intents. This was the second thing to get my attention, while studying the project again, and it sets a whole new standard for blockchain interactions, especially cross-chain. Basically, users can declare an intention (for example, swap Ethereum-USDT to Bitcoin) and a network of solvers, running on Near, will find the best path to accomplish this task. We recently saw an impressive 465k-worth swap happening in exactly this example, paying 0.55% of trading fees to thorswap.near and swapkit.near. According to a Dune Dashboard, the protocol accumulates nearly $400 million in volume since its launch not long ago, in November 2024. *obs.: half this volume was achieved in the last month. Massive! Near Intents is possible due to two other very interesting things: (i) Chain abstraction, and (ii) a solid AI infrastructure. Chain abstraction (via Chain Signatures) is a powerful interoperability feature, allowing Near to friendly connect different blockchains as if they were part of a single network. Users and devs benefit from wallet, address, fees, and cross-chain bridges abstractions - not even noticing they are interacting with multiple chains. One wallet that powers everything. Powered by Near. On AI, Near is just built differently. Not for the hype, but for the solution. The team has been looking for AI solutions much before the ChatGPT fever. Actually, they started as an AI company, pivoting to blockchain later. So, being one of the most promising networks for the growing AI economy was just the natural path to follow. There is an extensive and super complete research piece on that topic, recently published by Reflexivity Research (Reflexivity Research) on July 1st. It presents Near as an AI-optimized blockchain, covering AITP, Shade Agents, x402, Near Intents, and more. Definitely worth the reading. Wrapping up this content with one more aspect that really matters to me is how Near remains truthful to decentralization, data ownership, censorship-resistance and open-source primitives that have been increasingly abandoned by other key players. A simple example of that is how the Near Foundation decided to deprecate its public APIs, encouraging the surge of a more decentralized and competitive market of SaaS projects, with a highlight to Lava Network, that recently appeared in my timeline talking about that. DeFi is also huge on Near, leveraging all the previous properties I mentioned, creating a truly decentralized liquidity pool via Rhea Finance, connected with other chains like BTC, Ethereum, ZCash, and more. All that contributes to Near having the second-largest monthly active addresses, with nearly 50 million, only losing to Solana’s nearly 90 million. In the meantime, NEAR, the token, is not even at the 30rd position by market cap. Crazy stuff. To (finally) wrap it up, I also want to mention Near’s consensus decentralization. While having a low node-count, the network has a Nakamoto Coefficient of 11, which is not bad at all. Surely, there is still room for improvement, which is possible as becoming a validator is accessible staking and hardware-wise. If you liked this content, make sure to click the like bottom and share it around. Follow me on X or subscribe to my YouTube channel, both at vinibarbosabr. See ya!

Vini B |「 thecoding 」

40,183 görüntüleme • 1 yıl önce

Real Finance: No Man, No Investor, No Developer, No Trader Can Resist This 12:56 secs clip includes Episodes 1–3: ​Episode 1 (01:18 - 06:54) 👇 Real-World Assets You Can Tokenize on Real Finance Blockchain ​Episode 2 (06:57 - 10:13) 👇 Trading Analysis ​Episode 3 (10:16 - 12:45) 👇 Research on Verified Real Contracts in Solidity Just a reminder, the countdown to the Real Finance Blockchain $ASSET Token Generation Event (TGE) is officially on🥰 Let me unveil some stuff to y'all. RWA isn’t just a buzzword anymore, it’s starting to shape the backbone of tomorrow’s financial system. While most crypto projects scramble for short-lived hype, Real has taken a totally different approach. They’re building a fully decentralized Layer 1 chain, designed specifically for Real World Assets. A lot of folks still don’t get how big this is. Putting assets on-chain is just the first step, it’s not enough. The real hurdle is crafting an environment where these assets actually work, smoothly and efficiently, in Web3. That’s what matters: - Tokenization that’s baked in, not slapped on - Infrastructure that scales - Real on-chain liquidity - Easy connections between networks - Strong security and transparency - Seamless integration with DeFi This is where REAL really shines. They’re not chasing the latest trend or patching together something temporary. They’re investing in solid, scalable infrastructure that could handle trillions in real-world value. Think about what’s on the table like real estate, payrolls, treasuries, precious metal, art, supply chain, agriculture any lots more. The current processes are fragmented, siloed, and highly disorganized. With REAL’s decentralized foundation, there’s a shot at finally tying it all together. Then there’s the $ASSET token. It could run the show economically, covering everything from governance and settlement to driving activity and rewarding participation. Honestly, the next big wave in Web3 isn’t going to be all about wild speculation. It’ll be about genuine ownership, real yield, actual utility, something you can touch and use. And Real looks like it’s right at the heart of that shift. I'm are incredibly proud of the team, They're building to democratize access to global financial markets. ​Shoutout to the visionaries making it happen every day: Ivo Grigorov (Co-Founder & CEO) Valentin Dimitrov (Co-Founder & COO) Hristo Piyankov (Co-Founder & Lead Economist) Brandon Kazakoff (VP of Ecosystem Growth) Nikolay Byutyunev (Head of Design) Diana Ilieva - Tokenomics Expert Jenny Gancheva - Legal Advisor Krum Radev - Senior Blockchain Developer ​Alexander Nadjarian - Lead Developer, Full Stack Mehmed Aliev - Web Consultant and Developer Alexander Tomov - Community Growth Strategist Nikolay Likov - Social Media and Community Manager Monika Likova - Social Media Content Creator Boris Ivanov - Social Media Growth DONT IGNORE THIS💪 KNOCK ON REAL FINANCE'S DOOR, AND THEY SHALL OPEN FOR THE REAL FOLKS #UCCC
12:56

Real Finance: No Man, No Investor, No Developer, No Trader Can Resist This 12:56 secs clip includes Episodes 1–3: ​Episode 1 (01:18 - 06:54) 👇 Real-World Assets You Can Tokenize on Real Finance Blockchain ​Episode 2 (06:57 - 10:13) 👇 Trading Analysis ​Episode 3 (10:16 - 12:45) 👇 Research on Verified Real Contracts in Solidity Just a reminder, the countdown to the Real Finance Blockchain $ASSET Token Generation Event (TGE) is officially on🥰 Let me unveil some stuff to y'all. RWA isn’t just a buzzword anymore, it’s starting to shape the backbone of tomorrow’s financial system. While most crypto projects scramble for short-lived hype, Real has taken a totally different approach. They’re building a fully decentralized Layer 1 chain, designed specifically for Real World Assets. A lot of folks still don’t get how big this is. Putting assets on-chain is just the first step, it’s not enough. The real hurdle is crafting an environment where these assets actually work, smoothly and efficiently, in Web3. That’s what matters: - Tokenization that’s baked in, not slapped on - Infrastructure that scales - Real on-chain liquidity - Easy connections between networks - Strong security and transparency - Seamless integration with DeFi This is where REAL really shines. They’re not chasing the latest trend or patching together something temporary. They’re investing in solid, scalable infrastructure that could handle trillions in real-world value. Think about what’s on the table like real estate, payrolls, treasuries, precious metal, art, supply chain, agriculture any lots more. The current processes are fragmented, siloed, and highly disorganized. With REAL’s decentralized foundation, there’s a shot at finally tying it all together. Then there’s the $ASSET token. It could run the show economically, covering everything from governance and settlement to driving activity and rewarding participation. Honestly, the next big wave in Web3 isn’t going to be all about wild speculation. It’ll be about genuine ownership, real yield, actual utility, something you can touch and use. And Real looks like it’s right at the heart of that shift. I'm are incredibly proud of the team, They're building to democratize access to global financial markets. ​Shoutout to the visionaries making it happen every day: Ivo Grigorov (Co-Founder & CEO) Valentin Dimitrov (Co-Founder & COO) Hristo Piyankov (Co-Founder & Lead Economist) Brandon Kazakoff (VP of Ecosystem Growth) Nikolay Byutyunev (Head of Design) Diana Ilieva - Tokenomics Expert Jenny Gancheva - Legal Advisor Krum Radev - Senior Blockchain Developer ​Alexander Nadjarian - Lead Developer, Full Stack Mehmed Aliev - Web Consultant and Developer Alexander Tomov - Community Growth Strategist Nikolay Likov - Social Media and Community Manager Monika Likova - Social Media Content Creator Boris Ivanov - Social Media Growth DONT IGNORE THIS💪 KNOCK ON REAL FINANCE'S DOOR, AND THEY SHALL OPEN FOR THE REAL FOLKS #UCCC

Andy Lui

92,361 görüntüleme • 2 ay önce

PARMOD KALIA IS DEAD He died on 13 March 2026, aged 67, still waiting for the full compensation he was owed. Owed for a crime he never committed. Parmod Kalia ran a Post Office branch in Orpington for 11 years. Clean record, steady business, nothing unusual. Then Horizon showed up and decided he owed £22,000 he never took. He was accused of theft in 2001. Investigators got a confession out of him. He said later it was signed in fear, not guilt. He pleaded guilty because that is what people do when the system makes resistance cost more than surrender. He got 6 months in prison. It took until 2021 for Southwark Crown Court to quash the conviction. Post Office didn't even oppose the appeal. Twenty years to undo what one honest look at the evidence should have caught in a week. Through all of it Kalia worked as a foster carer, giving stability to vulnerable children while carrying a criminal record he was too ashamed to mention to the people closest to him. His friend Tim Brentnall said he brought calmness and warmth to whatever room he walked into. Funny how the system managed the opposite for him. Then came the cancer diagnosis. He told ITV News he was taking it one day at a time, hoping his final redress payment might arrive before he ran out of days. It didn't arrive in time. He was one of more than 4,300 subpostmasters still waiting on full and final compensation when he died. Post Office said if there had been retrials there was still a reasonable prospect of conviction, so Kalia wasn't owed full compensation for malicious prosecution. Read that twice. A wrongly convicted, terminally ill man was told the theoretical odds still weren't fully in his favour, so the payment could wait. Meanwhile MPs pointed out that Fujitsu Fujitsu UK still hasn't contributed a single penny to the nearly £1.5 billion redress bill for a scandal it built and sold to the Post Office. Not one penny. They can engineer software that jails hundreds of innocent people but apparently a bank transfer is beyond their technical capability. More than 700 branch managers were convicted between 1999 and 2015 because of Horizon's fictional shortfalls. Only a fraction have full settlements. The Post Office Horizon IT Inquiry Post Office Horizon IT Inquiry keeps recording the names of people who died waiting. Kalia is just the latest entry on a list that should never have existed. He wasn't asking for a favour. He was asking for what he was owed, for a crime he never committed, from a system that has known it was broken for over a decade. SOURCES BBC News (UK) ITV News ComputerWeekly Post Office Horizon IT Inquiry
0:27

PARMOD KALIA IS DEAD He died on 13 March 2026, aged 67, still waiting for the full compensation he was owed. Owed for a crime he never committed. Parmod Kalia ran a Post Office branch in Orpington for 11 years. Clean record, steady business, nothing unusual. Then Horizon showed up and decided he owed £22,000 he never took. He was accused of theft in 2001. Investigators got a confession out of him. He said later it was signed in fear, not guilt. He pleaded guilty because that is what people do when the system makes resistance cost more than surrender. He got 6 months in prison. It took until 2021 for Southwark Crown Court to quash the conviction. Post Office didn't even oppose the appeal. Twenty years to undo what one honest look at the evidence should have caught in a week. Through all of it Kalia worked as a foster carer, giving stability to vulnerable children while carrying a criminal record he was too ashamed to mention to the people closest to him. His friend Tim Brentnall said he brought calmness and warmth to whatever room he walked into. Funny how the system managed the opposite for him. Then came the cancer diagnosis. He told ITV News he was taking it one day at a time, hoping his final redress payment might arrive before he ran out of days. It didn't arrive in time. He was one of more than 4,300 subpostmasters still waiting on full and final compensation when he died. Post Office said if there had been retrials there was still a reasonable prospect of conviction, so Kalia wasn't owed full compensation for malicious prosecution. Read that twice. A wrongly convicted, terminally ill man was told the theoretical odds still weren't fully in his favour, so the payment could wait. Meanwhile MPs pointed out that Fujitsu Fujitsu UK still hasn't contributed a single penny to the nearly £1.5 billion redress bill for a scandal it built and sold to the Post Office. Not one penny. They can engineer software that jails hundreds of innocent people but apparently a bank transfer is beyond their technical capability. More than 700 branch managers were convicted between 1999 and 2015 because of Horizon's fictional shortfalls. Only a fraction have full settlements. The Post Office Horizon IT Inquiry Post Office Horizon IT Inquiry keeps recording the names of people who died waiting. Kalia is just the latest entry on a list that should never have existed. He wasn't asking for a favour. He was asking for what he was owed, for a crime he never committed, from a system that has known it was broken for over a decade. SOURCES BBC News (UK) ITV News ComputerWeekly Post Office Horizon IT Inquiry

Artur Nadolny

83,852 görüntüleme • 4 gün önce

ANTHROPIC'S PRODUCT CHIEF HAS USED CLAUDE FABLE 5 FOR MONTHS BEFORE ANYONE ELSE. HERE'S WHAT HE LEARNED ABOUT THE MOST POWERFUL MODEL YET Mike Krieger co-founded Instagram and now runs product at Anthropic. He's had Claude Fable 5 for two months before the public, and his takeaway is that it changes how you have to work, not just how much you get done. Here's what stood out, and what to actually do with it 1. It holds the whole project, so stop chopping tasks small. The old habit was breaking work into model-sized pieces and stitching them. Fable keeps the whole thing in context. What to do: stop pre-slicing your prompts into tiny steps. Hand it the full goal and the intent behind it, the way you'd brief a senior engineer, and let it sequence the work itself 2. Delegate big, async, and overnight. He sets it on a hard task at night and wakes to it finished, including the model getting itself unstuck when a service died, scaffolding a workaround, and documenting it. What to do: stop babysitting one prompt at a time. Kick off long jobs and walk away. Run several sessions at once instead of one you watch 3. The skill is planning now, not typing. His day moved to long architecture conversations up front, then execution in chunks. What to do: spend your first prompts planning, not building. Then ask it to output an HTML page or markdown doc of the plan so your team aligns before any code is written. That early alignment is the new leverage 4. Match the effort level to the task. Fable's range is wide, so a heavy reasoning pass on a tiny UI tweak is overkill (and pricey). What to do: dial effort down for small jobs, save the deep thinking for hard ones. And don't use your most expensive model for quick questions, keep a fast model for those 5. Verification is the real bottleneck now. The hard part isn't getting output, it's trusting it. What to do: make every change ship with proof. Have Claude attach a screenshot or video of what it built, so you can see the result instead of reading the diff. Then stand behind the decisions yourself before you merge 6. Cost is per-result, not per-turn. Fable is expensive per call but often one-shots what other models need ten turns to get right. What to do: judge cost by what it takes to finish the task to your satisfaction, not the price of a single message. Give it a real task and see how far it gets before you jump in His bigger point: software engineering isn't over, it's different. The craft moved from writing code to owning intent, taste, and what actually ships. The floor rose so anyone can build, and the ceiling rose so experts go further than before Bookmark this
52:06

ANTHROPIC'S PRODUCT CHIEF HAS USED CLAUDE FABLE 5 FOR MONTHS BEFORE ANYONE ELSE. HERE'S WHAT HE LEARNED ABOUT THE MOST POWERFUL MODEL YET Mike Krieger co-founded Instagram and now runs product at Anthropic. He's had Claude Fable 5 for two months before the public, and his takeaway is that it changes how you have to work, not just how much you get done. Here's what stood out, and what to actually do with it 1. It holds the whole project, so stop chopping tasks small. The old habit was breaking work into model-sized pieces and stitching them. Fable keeps the whole thing in context. What to do: stop pre-slicing your prompts into tiny steps. Hand it the full goal and the intent behind it, the way you'd brief a senior engineer, and let it sequence the work itself 2. Delegate big, async, and overnight. He sets it on a hard task at night and wakes to it finished, including the model getting itself unstuck when a service died, scaffolding a workaround, and documenting it. What to do: stop babysitting one prompt at a time. Kick off long jobs and walk away. Run several sessions at once instead of one you watch 3. The skill is planning now, not typing. His day moved to long architecture conversations up front, then execution in chunks. What to do: spend your first prompts planning, not building. Then ask it to output an HTML page or markdown doc of the plan so your team aligns before any code is written. That early alignment is the new leverage 4. Match the effort level to the task. Fable's range is wide, so a heavy reasoning pass on a tiny UI tweak is overkill (and pricey). What to do: dial effort down for small jobs, save the deep thinking for hard ones. And don't use your most expensive model for quick questions, keep a fast model for those 5. Verification is the real bottleneck now. The hard part isn't getting output, it's trusting it. What to do: make every change ship with proof. Have Claude attach a screenshot or video of what it built, so you can see the result instead of reading the diff. Then stand behind the decisions yourself before you merge 6. Cost is per-result, not per-turn. Fable is expensive per call but often one-shots what other models need ten turns to get right. What to do: judge cost by what it takes to finish the task to your satisfaction, not the price of a single message. Give it a real task and see how far it gets before you jump in His bigger point: software engineering isn't over, it's different. The craft moved from writing code to owning intent, taste, and what actually ships. The floor rose so anyone can build, and the ceiling rose so experts go further than before Bookmark this

Yarchi

30,958 görüntüleme • 2 ay önce

Real estate has a simple problem that people don’t always say out loud: it’s not designed for partial participation. You either have enough money to buy in properly, or you don’t. There’s usually no “in-between.” And once you do invest, your money is tied up for a long time. Selling isn’t instant and flexibility is limited. So even though real estate is seen as a solid way to build wealth, a lot of people are effectively locked out... not by lack of interest but by how the system is structured. That’s the gap APARTCHAIN is focused on. APARTCHAIN is a platform that turns real estate into something you can invest in fractionally. Instead of buying an entire property, the ownership is divided into digital shares (tokens), and investors can buy a portion that fits their budget. So rather than needing large capital, you’re able to take smaller positions in actual properties. Here’s how it works in practice: • APARTCHAIN acquires real estate • The property is split into multiple ownership shares • Investors buy those shares on-chain • Rental income from the property is distributed to shareholders • When the property is eventually sold, any profit is also shared So your return comes from two places: ongoing rental income and potential appreciation when the property is sold. Now, fractional real estate isn’t a brand-new idea. What makes APARTCHAIN different is how it’s positioned. It operates within Kazakhstan’s regulatory framework, with oversight connected to the country’s national financial authority. That’s a key detail because a lot of tokenization platforms operate without clear local regulation. Here, the structure is built to align with an existing legal system, not bypass it. On the technical side, it runs on a blockchain network designed for low fees and fast transactions. That means buying, holding or transferring your share doesn’t come with the heavy costs or delays typically associated with traditional property processes. There’s also no strict lock-in at the protocol level... you’re not forced to hold your position for a fixed period. But in reality, your ability to exit depends on the secondary market, which is still developing. So liquidity exists, but it’s not fully mature yet. It’s also worth being clear about the risks. Property values can go up or down. Rental income isn’t guaranteed and because this system relies on smart contracts, there’s a technical layer that traditional real estate doesn’t have. On top of that, the platform itself is still growing. Property inventory is limited for now and the resale market for shares is still building. That said, it’s not just an idea on paper... APARTCHAIN has already completed at least one full investment cycle... acquiring a property, generating returns, and exiting. That matters because it shows the model can actually function beyond theory. So at the core, this isn’t really about “changing real estate” in some dramatic way. It’s about removing the all-or-nothing barrier that’s always surrounded it. And that leaves a simple question: if you could start building exposure to real estate without needing to go all in from day one, would more people actually step in earlier or would they still wait until it feels “big enough” to matter? Superteam Kazakhstan || APARTCHAIN
0:30

Real estate has a simple problem that people don’t always say out loud: it’s not designed for partial participation. You either have enough money to buy in properly, or you don’t. There’s usually no “in-between.” And once you do invest, your money is tied up for a long time. Selling isn’t instant and flexibility is limited. So even though real estate is seen as a solid way to build wealth, a lot of people are effectively locked out... not by lack of interest but by how the system is structured. That’s the gap APARTCHAIN is focused on. APARTCHAIN is a platform that turns real estate into something you can invest in fractionally. Instead of buying an entire property, the ownership is divided into digital shares (tokens), and investors can buy a portion that fits their budget. So rather than needing large capital, you’re able to take smaller positions in actual properties. Here’s how it works in practice: • APARTCHAIN acquires real estate • The property is split into multiple ownership shares • Investors buy those shares on-chain • Rental income from the property is distributed to shareholders • When the property is eventually sold, any profit is also shared So your return comes from two places: ongoing rental income and potential appreciation when the property is sold. Now, fractional real estate isn’t a brand-new idea. What makes APARTCHAIN different is how it’s positioned. It operates within Kazakhstan’s regulatory framework, with oversight connected to the country’s national financial authority. That’s a key detail because a lot of tokenization platforms operate without clear local regulation. Here, the structure is built to align with an existing legal system, not bypass it. On the technical side, it runs on a blockchain network designed for low fees and fast transactions. That means buying, holding or transferring your share doesn’t come with the heavy costs or delays typically associated with traditional property processes. There’s also no strict lock-in at the protocol level... you’re not forced to hold your position for a fixed period. But in reality, your ability to exit depends on the secondary market, which is still developing. So liquidity exists, but it’s not fully mature yet. It’s also worth being clear about the risks. Property values can go up or down. Rental income isn’t guaranteed and because this system relies on smart contracts, there’s a technical layer that traditional real estate doesn’t have. On top of that, the platform itself is still growing. Property inventory is limited for now and the resale market for shares is still building. That said, it’s not just an idea on paper... APARTCHAIN has already completed at least one full investment cycle... acquiring a property, generating returns, and exiting. That matters because it shows the model can actually function beyond theory. So at the core, this isn’t really about “changing real estate” in some dramatic way. It’s about removing the all-or-nothing barrier that’s always surrounded it. And that leaves a simple question: if you could start building exposure to real estate without needing to go all in from day one, would more people actually step in earlier or would they still wait until it feels “big enough” to matter? Superteam Kazakhstan || APARTCHAIN

Jessica♡🛡

105,405 görüntüleme • 3 ay önce

Kevin Kelly (Kevin Kelly) has spent more time thinking about the future than almost anyone else. From VR in the 1980s to the blockchain in the 2000s—and now generative AI—Kevin has spent a lifetime journeying to the frontiers of technology, only to return with rich stories about what’s next. Today, as WIRED’s senior maverick, his project for 2025 is to outline what the next century looks like in a world shaped by new technologies like AI and genetic engineering. He’s a personal hero of mine—not to mention a fellow Annie Dillard fan—and it was a privilege to have him on AI & I. We get into: - How you can predict the future. According to Kevin, the draw of new frontiers—from the first edition of Burning Man and remote corners of Asia, to the early days of the internet and AI—isn’t staying at the edge forever; it's returning with a story to tell. - Why history is so important to help you understand the future. To stay grounded while exploring what’s new, Kevin balances the thrill of the future with the wisdom of the past. He pairs AI research with reading about history, and playing with an AI tool by retreating to his workshop to make something with his hands. - From 1,000 true fans to an audience of one. Rather than creating for an audience, Kevin has been using LLMs to explore his own imagination. After realizing that da Vinci, Martin Luther, and Columbus were alive at the same time, he asked @ChatGPTapp to imagine them snowed in at a hotel together, and the prompt spiraled into an epic saga, co-written with AI. But he has no plans to publish it because the joy was in creating something just for himself. - What the history of electricity can teach us about AI. Kevin draws a parallel between AI and the early days of electricity. We could produce electric sparks long before we understood the forces that created them, and now we’re building intelligent machines without really understanding what intelligence is. - Why Kevin sees intelligence as a mosaic—not a monolith. Kevin believes intelligence isn’t a single force, but a compound of many cognitive elements. He draws from Marvin Minsky’s “society of mind”—the theory that the mind is made up of smaller agents working together—and sees echoes of this in the Mixture of Experts architecture used in some models today. - Your competitive advantage is being yourself. Don’t aim to be the best—aim to be the only. Kevin realized that the stories no one else at Wired wanted to write were often the ones he was suited for, and trusting that instinct led to some of his best work. This is a must-watch for anyone who wants to make sense of AI through the lens of history, learn how to spot the future before it arrives, or grew up reading Wired. Watch below! Timestamps: 1. 00:00:50 - Introduction 2. 00:01:10 - Why Dan and Kelly love Annie Dillard 3. 00:12:52 - Learn how to predict the future like Kelly 4. 00:16:10 - What the history of electricity can teach us about AI 5. 00:20:13 - How Kelly thinks about the nature of intelligence 6. 00:25:44 - Kelly's advice on discovering your competitive advantage 7. 00:29:33 - The story of how Kelly assembled a bench of star writers for Wired 8. 00:34:43 - How Kelly used ChatGPT to co-create a book 9. 00:39:12 - Using AI as a mirror for your mind 10. 00:43:43 - What Kelly learned from betting on VR in the 1980s
53:41

Kevin Kelly (Kevin Kelly) has spent more time thinking about the future than almost anyone else. From VR in the 1980s to the blockchain in the 2000s—and now generative AI—Kevin has spent a lifetime journeying to the frontiers of technology, only to return with rich stories about what’s next. Today, as WIRED’s senior maverick, his project for 2025 is to outline what the next century looks like in a world shaped by new technologies like AI and genetic engineering. He’s a personal hero of mine—not to mention a fellow Annie Dillard fan—and it was a privilege to have him on AI & I. We get into: - How you can predict the future. According to Kevin, the draw of new frontiers—from the first edition of Burning Man and remote corners of Asia, to the early days of the internet and AI—isn’t staying at the edge forever; it's returning with a story to tell. - Why history is so important to help you understand the future. To stay grounded while exploring what’s new, Kevin balances the thrill of the future with the wisdom of the past. He pairs AI research with reading about history, and playing with an AI tool by retreating to his workshop to make something with his hands. - From 1,000 true fans to an audience of one. Rather than creating for an audience, Kevin has been using LLMs to explore his own imagination. After realizing that da Vinci, Martin Luther, and Columbus were alive at the same time, he asked @ChatGPTapp to imagine them snowed in at a hotel together, and the prompt spiraled into an epic saga, co-written with AI. But he has no plans to publish it because the joy was in creating something just for himself. - What the history of electricity can teach us about AI. Kevin draws a parallel between AI and the early days of electricity. We could produce electric sparks long before we understood the forces that created them, and now we’re building intelligent machines without really understanding what intelligence is. - Why Kevin sees intelligence as a mosaic—not a monolith. Kevin believes intelligence isn’t a single force, but a compound of many cognitive elements. He draws from Marvin Minsky’s “society of mind”—the theory that the mind is made up of smaller agents working together—and sees echoes of this in the Mixture of Experts architecture used in some models today. - Your competitive advantage is being yourself. Don’t aim to be the best—aim to be the only. Kevin realized that the stories no one else at Wired wanted to write were often the ones he was suited for, and trusting that instinct led to some of his best work. This is a must-watch for anyone who wants to make sense of AI through the lens of history, learn how to spot the future before it arrives, or grew up reading Wired. Watch below! Timestamps: 1. 00:00:50 - Introduction 2. 00:01:10 - Why Dan and Kelly love Annie Dillard 3. 00:12:52 - Learn how to predict the future like Kelly 4. 00:16:10 - What the history of electricity can teach us about AI 5. 00:20:13 - How Kelly thinks about the nature of intelligence 6. 00:25:44 - Kelly's advice on discovering your competitive advantage 7. 00:29:33 - The story of how Kelly assembled a bench of star writers for Wired 8. 00:34:43 - How Kelly used ChatGPT to co-create a book 9. 00:39:12 - Using AI as a mirror for your mind 10. 00:43:43 - What Kelly learned from betting on VR in the 1980s

Dan Shipper 📧

67,907 görüntüleme • 1 yıl önce

The last 20 Moni Wizards NFTs. WL Application is live. The Wizards collection is the highest access to everything Moni. Apply to get whitelisted: 20 seats left. After these, primary closes for good and the only way in is the secondary market. Funds from this sale go straight back into the build: more research, more Smarts coverage, more API surface, more community infrastructure. What’s inside? Full Moni platform access. The off-chain side of our stack and how you find alpha before it's alpha. Discover tracks where smart money is already looking: VCs, founders, alpha hunters, and influencers, in real time. You see the projects they're moving toward one to three weeks before they trend on the main timeline. Behind it: 15,000 hand-curated Smarts and millions of smart mentions collected over five years. Wizards get every filter, every list, every signal we expose internally. Daily and weekly Alpha Reports. Written by the Moni Research team, not aggregated from elsewhere. Our analysts hand-pick the best of what the engine surfaces each day and each week, then write up what the Smarts are watching, why it matters, and where the narrative is forming. Reports usually land in the Wizards Discord before any public version exists. Moni Social API. New for Wizards. The same API we give access to launchpads, exchanges, VCs, and analytical platforms. 30+ data types, 100,000+ tracked events per day, 5,000+ projects under coverage, Smart Mindshare endpoints, real-time and historical social signals. Think of it as the social intelligence layer you'd otherwise have to build yourself. Wizards get a data they can plug into their own tools, alert systems, or agents. Deep Research. One project at a time, long form, the same work we run inside Moni Research. Each one takes the team about a week. Thesis, ecosystem map, mechanism, risks, Smart positioning, what to watch for. Structured the way an analyst would actually use it, not a Twitter thread version of it. Private Wizards-only chats and community. The room where the 180 holders and the private Moni community already share early calls, deal flow, research drafts, and "look at this" moments before anything goes public. Most of the real work happens here, not in the Twitter version of Moni. Alpha bots and curated Smarts lists. The bots that track Smart movements in real time. The Twitter lists we don't share publicly because they are the actual edge. Wizards get both. Early access to every new Moni product. Whatever ships next, Wizards see it first. Sometimes the prototype, sometimes weeks before public release. The feedback loop runs straight back into the team. Partnership raffles and early-stage deal flow. Pre-seed and seed allocations from partner projects. Raffles, intros, primary access to things that come through the table and never leave it. Custom hand-drawn PFP. Designed by our artist around your call. Yours forever. How to buy. Fill the form. The team reads every answer. If your fit makes sense for what this circle is, we'll come back to you with everything you need to complete the purchase. Moni Wizards Opensea Page:
0:45

The last 20 Moni Wizards NFTs. WL Application is live. The Wizards collection is the highest access to everything Moni. Apply to get whitelisted: 20 seats left. After these, primary closes for good and the only way in is the secondary market. Funds from this sale go straight back into the build: more research, more Smarts coverage, more API surface, more community infrastructure. What’s inside? Full Moni platform access. The off-chain side of our stack and how you find alpha before it's alpha. Discover tracks where smart money is already looking: VCs, founders, alpha hunters, and influencers, in real time. You see the projects they're moving toward one to three weeks before they trend on the main timeline. Behind it: 15,000 hand-curated Smarts and millions of smart mentions collected over five years. Wizards get every filter, every list, every signal we expose internally. Daily and weekly Alpha Reports. Written by the Moni Research team, not aggregated from elsewhere. Our analysts hand-pick the best of what the engine surfaces each day and each week, then write up what the Smarts are watching, why it matters, and where the narrative is forming. Reports usually land in the Wizards Discord before any public version exists. Moni Social API. New for Wizards. The same API we give access to launchpads, exchanges, VCs, and analytical platforms. 30+ data types, 100,000+ tracked events per day, 5,000+ projects under coverage, Smart Mindshare endpoints, real-time and historical social signals. Think of it as the social intelligence layer you'd otherwise have to build yourself. Wizards get a data they can plug into their own tools, alert systems, or agents. Deep Research. One project at a time, long form, the same work we run inside Moni Research. Each one takes the team about a week. Thesis, ecosystem map, mechanism, risks, Smart positioning, what to watch for. Structured the way an analyst would actually use it, not a Twitter thread version of it. Private Wizards-only chats and community. The room where the 180 holders and the private Moni community already share early calls, deal flow, research drafts, and "look at this" moments before anything goes public. Most of the real work happens here, not in the Twitter version of Moni. Alpha bots and curated Smarts lists. The bots that track Smart movements in real time. The Twitter lists we don't share publicly because they are the actual edge. Wizards get both. Early access to every new Moni product. Whatever ships next, Wizards see it first. Sometimes the prototype, sometimes weeks before public release. The feedback loop runs straight back into the team. Partnership raffles and early-stage deal flow. Pre-seed and seed allocations from partner projects. Raffles, intros, primary access to things that come through the table and never leave it. Custom hand-drawn PFP. Designed by our artist around your call. Yours forever. How to buy. Fill the form. The team reads every answer. If your fit makes sense for what this circle is, we'll come back to you with everything you need to complete the purchase. Moni Wizards Opensea Page:

Moni 🧙‍♂️

49,244 görüntüleme • 2 ay önce