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BREAKING NEWS: CHARLES EXPOSES THE REAL REASON MICROSOFT, IBM & EXXON AREN’T ON BLOCKCHAIN 😱😱😱 Charles Hoskinson reveals why major corporations like Microsoft, IBM, ExxonMobil aren’t fully on blockchain despite 15+ years of experimentation. They did try blockchain. They want the tech. But they can’t risk exposing customer data,...

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126,506 Aufrufe • vor 8 Monaten •via X (Twitter)

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BREAKING NEWS: APPLE AND GOOGLE INTEGRATES CRYPTO WALLET😱😱 Charles Hoskinson says “All it takes is one update, Google or Apple could turn every phone into a crypto wallet instantly. They built the tech, they have blockchain teams, it’s game on if they enter.” Are blockchain communities ready for an influx of billions from Google and Apple’s user base?

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BREAKING NEWS: CHARLES REVEALS CARDANO’S ROADMAP TO INFINITE SCALE & MASS ADOPTION 😱😱😱 Charles Hoskinson says Cardano is self-sustaining and built to last. From everyday use (ATMs, vending machines) to privacy with #Midnight and #Bitcoin DeFi, Cardano is expanding fast. With LEIOS in its final SIP stage and Hydra advancing, Cardano is on the path to infinite scalability. Will Cardano’s vision reshape the future of blockchain?

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The problem: Blockchains lack privacy by default. Their transparency enhances trust, but for institutions managing proprietary strategies and sensitive client information, it’s a major barrier to large-scale adoption. The solution: The Chainlink privacy standard enables private smart contracts at scale on any blockchain. How it works: Computations run in trusted execution environments (TEEs) to achieve privacy and high performance, while decentralized oracle networks and advanced cryptographic techniques provide enhanced security. This ensures sensitive data and business logic remain fully confidential while still having verifiability that all actions were executed exactly as intended. The result: Privacy is enabled. Trust is preserved. Scale is achieved. Just use Chainlink.
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The problem: Blockchains lack privacy by default. Their transparency enhances trust, but for institutions managing proprietary strategies and sensitive client information, it’s a major barrier to large-scale adoption. The solution: The Chainlink privacy standard enables private smart contracts at scale on any blockchain. How it works: Computations run in trusted execution environments (TEEs) to achieve privacy and high performance, while decentralized oracle networks and advanced cryptographic techniques provide enhanced security. This ensures sensitive data and business logic remain fully confidential while still having verifiability that all actions were executed exactly as intended. The result: Privacy is enabled. Trust is preserved. Scale is achieved. Just use Chainlink.

Chainlink

34,918 Aufrufe • vor 6 Monaten

Look, this isn’t an awareness failure on the public’s part. Most people who aren’t active on social media or following policy discussions don’t even know what ethanol fuel is, let alone its implications. Public awareness takes time to build! Countries like the United States, Brazil, and Australia took 15-30 years to gradually increase ethanol blending of E10. Pushing a major fuel transition on millions of consumers without properly educating them first feels like the biggest deception of all. When people are asked to accept a product they don’t fully understand because they were never given complete information, that’s called Fraud & Cheating!! Tehseen Poonawalla Official 🇮🇳 Dinesh
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Look, this isn’t an awareness failure on the public’s part. Most people who aren’t active on social media or following policy discussions don’t even know what ethanol fuel is, let alone its implications. Public awareness takes time to build! Countries like the United States, Brazil, and Australia took 15-30 years to gradually increase ethanol blending of E10. Pushing a major fuel transition on millions of consumers without properly educating them first feels like the biggest deception of all. When people are asked to accept a product they don’t fully understand because they were never given complete information, that’s called Fraud & Cheating!! Tehseen Poonawalla Official 🇮🇳 Dinesh

Rattan Dhillon

26,605 Aufrufe • vor 1 Monat

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Cheeky Crypto

12,528 Aufrufe • vor 2 Monaten

Real-World Privacy Failure 🔓 A few years ago, people assumed blockchain activity was “kind of private.” Then reality hit. On Ethereum, if you buy an NFT, anyone can: 🔹 See what you bought 🔹 See when you bought it 🔹 Track your wallet forever 🔹 Infer your strategy, wealth, and behavior The same thing happened with DAOs. Researchers reconstructed entire DAO votes just from on-chain data. They could see: 🔹 Who voted 🔹 How voting power moved 🔹 Which wallets coordinated Nothing was hacked. The data was already public. Core problem: blockchains are transparent by default. Once data is public, privacy is permanently lost. Neptune Privacy exists because privacy must be built into the base layer, not added later.
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Real-World Privacy Failure 🔓 A few years ago, people assumed blockchain activity was “kind of private.” Then reality hit. On Ethereum, if you buy an NFT, anyone can: 🔹 See what you bought 🔹 See when you bought it 🔹 Track your wallet forever 🔹 Infer your strategy, wealth, and behavior The same thing happened with DAOs. Researchers reconstructed entire DAO votes just from on-chain data. They could see: 🔹 Who voted 🔹 How voting power moved 🔹 Which wallets coordinated Nothing was hacked. The data was already public. Core problem: blockchains are transparent by default. Once data is public, privacy is permanently lost. Neptune Privacy exists because privacy must be built into the base layer, not added later.

Rad 📽️🏳️

31,302 Aufrufe • vor 6 Monaten

👑🔥 BREAKING Charles Hoskinson ➡️ CHARLES HOSKINSON ON A POTENTIAL INTEGRATION OF $XRP AND $RLUSD Cardano Community ➡️ "I´D BE VERY INTERESTING TO SEE IF WE CAN INCLUDE #XRP AND MIDNIGHT STORY ➡️ Cardano Community TECHNOLOGY LIKE #MARLOWE ➡️ "I´D BE A LOT OF FUN TO SEE IF WE CAN BRING $RLUSD TO #CARDANO" 🎯 "YOU KNOW Circle AND , THEY KIND OF HAVE A #CARTEL AND TOGETHER THEY CONTROL LIKE 71% OF ALL THE ECONOMIC ACTIVITY ON #ETHEREUM AND THE PEOPLE THAT THEY BLESS, DO VERY WELL AND THE PEOPLE THAT THEY EXCLUDE, THEY EXCLUDE HARSHLY[...]" ➡️ "IT IS REALLY IMPORTANT THAT NEW STABLECOINS THAT ENTER HAVE A LOT OF TRACTION OR MOMENTUM BEHIND THAT." ➡️ "I REALLY WANT $RLUSD NOT ONLY TO SUCCEED ON #XRPL BUT I´D LIKE TO SEE IT BECOME A MULIT-CHAIN ASSET GO ACROSS THE ENTIRE ECOSYSTEM." SOURCE:
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👑🔥 BREAKING Charles Hoskinson ➡️ CHARLES HOSKINSON ON A POTENTIAL INTEGRATION OF $XRP AND $RLUSD Cardano Community ➡️ "I´D BE VERY INTERESTING TO SEE IF WE CAN INCLUDE #XRP AND MIDNIGHT STORY ➡️ Cardano Community TECHNOLOGY LIKE #MARLOWE ➡️ "I´D BE A LOT OF FUN TO SEE IF WE CAN BRING $RLUSD TO #CARDANO" 🎯 "YOU KNOW Circle AND , THEY KIND OF HAVE A #CARTEL AND TOGETHER THEY CONTROL LIKE 71% OF ALL THE ECONOMIC ACTIVITY ON #ETHEREUM AND THE PEOPLE THAT THEY BLESS, DO VERY WELL AND THE PEOPLE THAT THEY EXCLUDE, THEY EXCLUDE HARSHLY[...]" ➡️ "IT IS REALLY IMPORTANT THAT NEW STABLECOINS THAT ENTER HAVE A LOT OF TRACTION OR MOMENTUM BEHIND THAT." ➡️ "I REALLY WANT $RLUSD NOT ONLY TO SUCCEED ON #XRPL BUT I´D LIKE TO SEE IT BECOME A MULIT-CHAIN ASSET GO ACROSS THE ENTIRE ECOSYSTEM." SOURCE:

XRP DROPZ

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People don’t take it seriously when you say “blockchain privacy is solved.” But Zama 's FHE tech actually does solve it and I broke down one of the biggest breakthroughs in crypto in just 60 seconds. 🔐⚡ How can smart contracts run normally while the data stays fully encrypted? That’s exactly what this video explains. If you want to understand why Zama is getting so much hype, why everyone is collecting OG NFTs, and why FHE is becoming the next major meta, this one-minute video is worth your time. 🎥✨ If you find it helpful, hit RT so more people can finally learn how real onchain privacy works. 🙏🔥 Rand
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People don’t take it seriously when you say “blockchain privacy is solved.” But Zama 's FHE tech actually does solve it and I broke down one of the biggest breakthroughs in crypto in just 60 seconds. 🔐⚡ How can smart contracts run normally while the data stays fully encrypted? That’s exactly what this video explains. If you want to understand why Zama is getting so much hype, why everyone is collecting OG NFTs, and why FHE is becoming the next major meta, this one-minute video is worth your time. 🎥✨ If you find it helpful, hit RT so more people can finally learn how real onchain privacy works. 🙏🔥 Rand

CNVR

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If there’s one lesson people are beginning to realize about modern technology, it’s this: The devices we rely on every day aren’t just tools. They’re surveillance systems. 👉 Learn more: Your phone tracks your location. Your apps collect your behavior. And now, AI integrated directly into your computer can record what you do on your screen every few seconds. Your emails. Your messages. Your searches. Even things you type but never send. That isn’t speculation. It’s the direction Big Tech has already taken. And the uncomfortable truth is that the people building these systems know exactly how powerful they are. Many of the same tech leaders who sell these devices to billions of users take extraordinary precautions with their own technology, covering cameras and limiting the very tools they encourage everyone else to use. Because data is power. And the more data that flows through these systems, the more influence the companies behind them gain over the digital world we all live in. But the playing field doesn’t have to stay that way. On Thursday, privacy experts Glenn and Eric Meder are hosting a free Privacy Academy webinar explaining exactly how these systems work and what people can do about them. During the training, they walk through how modern operating systems collect and analyze your behavior, how AI tools can build detailed behavioral profiles, and why many of the privacy settings people rely on don’t actually stop data collection. More importantly, they explain a practical alternative. Instead of relying on software designed around data collection, they show how privacy-focused systems like Linux can give users far more control over their own computers. And they break it down step by step so everyday people—not just programmers or tech experts—can understand how to make the transition. Because once you understand how these systems work, protecting your privacy becomes far easier than most people think. The free webinar is happening Thursday, March 5 at 7 PM Central, and it’s open to anyone who wants to understand how Big Tech is gathering data—and how to stop it. 👉 Register here: You can’t control the direction the tech industry chooses to take. But you can control how much access those systems have to your life. We want to thank Privacy Academy for helping everyday people understand how the digital world really works and for being a proud sponsor of this program. If you’re interested in learning more, visit do your own research, and decide if the training is right for you. Because when it comes to privacy, the most important step is understanding the system you’re living inside.
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If there’s one lesson people are beginning to realize about modern technology, it’s this: The devices we rely on every day aren’t just tools. They’re surveillance systems. 👉 Learn more: Your phone tracks your location. Your apps collect your behavior. And now, AI integrated directly into your computer can record what you do on your screen every few seconds. Your emails. Your messages. Your searches. Even things you type but never send. That isn’t speculation. It’s the direction Big Tech has already taken. And the uncomfortable truth is that the people building these systems know exactly how powerful they are. Many of the same tech leaders who sell these devices to billions of users take extraordinary precautions with their own technology, covering cameras and limiting the very tools they encourage everyone else to use. Because data is power. And the more data that flows through these systems, the more influence the companies behind them gain over the digital world we all live in. But the playing field doesn’t have to stay that way. On Thursday, privacy experts Glenn and Eric Meder are hosting a free Privacy Academy webinar explaining exactly how these systems work and what people can do about them. During the training, they walk through how modern operating systems collect and analyze your behavior, how AI tools can build detailed behavioral profiles, and why many of the privacy settings people rely on don’t actually stop data collection. More importantly, they explain a practical alternative. Instead of relying on software designed around data collection, they show how privacy-focused systems like Linux can give users far more control over their own computers. And they break it down step by step so everyday people—not just programmers or tech experts—can understand how to make the transition. Because once you understand how these systems work, protecting your privacy becomes far easier than most people think. The free webinar is happening Thursday, March 5 at 7 PM Central, and it’s open to anyone who wants to understand how Big Tech is gathering data—and how to stop it. 👉 Register here: You can’t control the direction the tech industry chooses to take. But you can control how much access those systems have to your life. We want to thank Privacy Academy for helping everyday people understand how the digital world really works and for being a proud sponsor of this program. If you’re interested in learning more, visit do your own research, and decide if the training is right for you. Because when it comes to privacy, the most important step is understanding the system you’re living inside.

Vigilant Fox 🦊

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The future of AI Agents needs #ICP AI agents are starting to act on our behalf: - making deals - sending messages - handling sensitive data But there is no trust layer telling you who or what you're actually dealing with ❌ zCloak Network is building exactly that: the trust, identity and privacy infrastructure for the AI-native economy, and they built it on top of Internet Computer Protocol In this podcast I sit down with Xiao Zhang (0xFrancis), founder of to break down what they're building, why they chose ICP over every other blockchain, and what the world looks like when AI agents can finally be trusted.

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20,791 Aufrufe • vor 3 Monaten

🚨 Alex Jones drops the ultimate bombshell on Joe Rogan: ALIENS aren’t from outer space… they’re interdimensional entities that ONLY contact you if YOU invite them first 😱🛸👽 “They look like elves… but when they show you who they really are, they have horns. There are bad things that look like elves that have horns when they show you who they really are… they don’t contact you unless you contact them.” “The devil masquerades as an angel of light… evils willing to come in and demoralize, get rid of children, don’t have kids, humans are bad. Elves want us to basically reduce population…” What do you think? Are “ALIENS” actually interdimensional beings manipulating humanity? Have you ever felt something reach out? Is this the real reason they try to silence voices like Alex? Drop your wildest thoughts below 👇
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🚨 Alex Jones drops the ultimate bombshell on Joe Rogan: ALIENS aren’t from outer space… they’re interdimensional entities that ONLY contact you if YOU invite them first 😱🛸👽 “They look like elves… but when they show you who they really are, they have horns. There are bad things that look like elves that have horns when they show you who they really are… they don’t contact you unless you contact them.” “The devil masquerades as an angel of light… evils willing to come in and demoralize, get rid of children, don’t have kids, humans are bad. Elves want us to basically reduce population…” What do you think? Are “ALIENS” actually interdimensional beings manipulating humanity? Have you ever felt something reach out? Is this the real reason they try to silence voices like Alex? Drop your wildest thoughts below 👇

Interstellar

1,188,604 Aufrufe • vor 4 Monaten

Look, I know I'm harping on this a lot today, but I can't stop thinking about Occam's Razor here: Why are we not seriously considering that the reason we allegedly have mystery craft that defy the laws of physics but do not have physicists because "the one type of person who could possibly help with this" IS EXACTLY WHO THEY DON'T WANT? Imagine for a moment that they have a crime scene that they are assigning unqualified personnel to. Why would you do that? Because you're trying not to solve the the crime, only to make it LOOK like you are. Why would you not try to solve a crime? Because you already know who did it. But you go through the motions because you don't want anyone to know you know. That raises other questions, of course, like, "did they already solve it a long time ago?" or "did they not need to solve it because they were told how it works by whoever made it?" Maybe I'm wrong. But it feels like the one answer that might answer the question, "Why not do the most obvious thing?"
1:52

Look, I know I'm harping on this a lot today, but I can't stop thinking about Occam's Razor here: Why are we not seriously considering that the reason we allegedly have mystery craft that defy the laws of physics but do not have physicists because "the one type of person who could possibly help with this" IS EXACTLY WHO THEY DON'T WANT? Imagine for a moment that they have a crime scene that they are assigning unqualified personnel to. Why would you do that? Because you're trying not to solve the the crime, only to make it LOOK like you are. Why would you not try to solve a crime? Because you already know who did it. But you go through the motions because you don't want anyone to know you know. That raises other questions, of course, like, "did they already solve it a long time ago?" or "did they not need to solve it because they were told how it works by whoever made it?" Maybe I'm wrong. But it feels like the one answer that might answer the question, "Why not do the most obvious thing?"

Steve Skojec

114,638 Aufrufe • vor 5 Monaten

Bob McGrew (Head of Research OpenAI) explains why proprietary data no longer provides companies with a competitive advantage in the AI era. Finance companies once believed their years of accumulated data would give them an edge. They planned to train specialized models on top of GPT or Llama using their exclusive information. The results shocked them. Their industry-specific models performed worse than the next generation of general purpose models. The ability to synthesize new information proved more valuable than memorizing old data. McGrew introduces the concept of "embodied labor" - the human work behind data collection. Companies spent years having employees call customers, analyze case studies, and gather information through manual processes. This accumulated knowledge required massive time and money to build. It represented thousands of hours of human effort that companies thought couldn't be replicated by competitors. But AI changes everything. Instead of years of customer calls, AI can conduct comprehensive surveys instantly. Rather than manual case analysis, AI processes thousands of examples in hours. The core insight is that value wasn't in the data itself but in the labor required to collect it. Since AI makes that labor essentially free, the advantage disappears. Companies can no longer rely on their proprietary data as a protective moat. Any competitor can use AI to replicate years of data gathering almost instantly.
1:24

Bob McGrew (Head of Research OpenAI) explains why proprietary data no longer provides companies with a competitive advantage in the AI era. Finance companies once believed their years of accumulated data would give them an edge. They planned to train specialized models on top of GPT or Llama using their exclusive information. The results shocked them. Their industry-specific models performed worse than the next generation of general purpose models. The ability to synthesize new information proved more valuable than memorizing old data. McGrew introduces the concept of "embodied labor" - the human work behind data collection. Companies spent years having employees call customers, analyze case studies, and gather information through manual processes. This accumulated knowledge required massive time and money to build. It represented thousands of hours of human effort that companies thought couldn't be replicated by competitors. But AI changes everything. Instead of years of customer calls, AI can conduct comprehensive surveys instantly. Rather than manual case analysis, AI processes thousands of examples in hours. The core insight is that value wasn't in the data itself but in the labor required to collect it. Since AI makes that labor essentially free, the advantage disappears. Companies can no longer rely on their proprietary data as a protective moat. Any competitor can use AI to replicate years of data gathering almost instantly.

Aish

240,714 Aufrufe • vor 1 Jahr

Everyone is talking about AI models, but almost no one is talking about data ownership. For years, centralized systems have dominated data pipelines, opaque processes, hidden biases, and zero contributor visibility. We call it innovation…, but in reality, it’s a black box. And that’s exactly how we ended up facing model degradation risks today. Because here’s the truth: AI is only as good as the data it learns from. That’s why Sovereign AI Data matters. To me, it means control, traceability, and accountability. Perle Labs is approaching this differently: ◈ On-chain provenance → Every data point is verifiable ◈ Expert-driven input → Quality over quantity ◈ Reputation systems → Trust becomes measurable This isn’t just a technical upgrade. It’s a paradigm shift. Instead of: Anonymous contributors ➠Unverified datasets ➠Centralized ownership ➠We move toward: Transparent data flows, Credible expertise and Distributed value creation If AI is the brain, then data is the memory. And right now most systems are learning from memory, which they can’t verify. Perle is solving that. While others focus on scaling models… This is about fixing the foundation they stand on. And foundations decide everything. #PerleAI #ToPerle participating in Perle Labs community campaign
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Everyone is talking about AI models, but almost no one is talking about data ownership. For years, centralized systems have dominated data pipelines, opaque processes, hidden biases, and zero contributor visibility. We call it innovation…, but in reality, it’s a black box. And that’s exactly how we ended up facing model degradation risks today. Because here’s the truth: AI is only as good as the data it learns from. That’s why Sovereign AI Data matters. To me, it means control, traceability, and accountability. Perle Labs is approaching this differently: ◈ On-chain provenance → Every data point is verifiable ◈ Expert-driven input → Quality over quantity ◈ Reputation systems → Trust becomes measurable This isn’t just a technical upgrade. It’s a paradigm shift. Instead of: Anonymous contributors ➠Unverified datasets ➠Centralized ownership ➠We move toward: Transparent data flows, Credible expertise and Distributed value creation If AI is the brain, then data is the memory. And right now most systems are learning from memory, which they can’t verify. Perle is solving that. While others focus on scaling models… This is about fixing the foundation they stand on. And foundations decide everything. #PerleAI #ToPerle participating in Perle Labs community campaign

Big_Wealth❤️‍🔥

11,486 Aufrufe • vor 4 Monaten

There is a new scam going on in this home inspection industry - Large corporations are buying up all the small home inspection companies - They don’t care about making money off inspecting homes, they want the data Why? This is where it gets borderline criminal Home inspections are supposed to be confidential, but what they’re doing is buying all the companies to own the data Then they are going to sell that data to insurance companies and lenders Now with this new information the insurance company finds out, they're going to start charging you $3,000 (or whatever) extra a year to insure that house Here’s what I’ve found Large corporations and private equity firms are aggressively consolidating the home inspection industry primarily by buying inspection software platforms like Spectora, HomeGauge and larger inspection companies A home inspection report contains highly detailed property specific information like roof age and condition, electrical and plumbing issues, foundation problems, HVAC status, environmental hazards This is extremely valuable for: - Insurance companies (risk assessment and underwriting). - Lenders (property valuation and loan risk). - Home warranty providers, contractors, and data brokers Home inspections are supposed to be confidential between the buyer, inspector, and sometimes the real estate parties. However, many inspection software companies’ terms of service allow data aggregation and sharing That’s the loophole they found. That’s the scam
1:42

There is a new scam going on in this home inspection industry - Large corporations are buying up all the small home inspection companies - They don’t care about making money off inspecting homes, they want the data Why? This is where it gets borderline criminal Home inspections are supposed to be confidential, but what they’re doing is buying all the companies to own the data Then they are going to sell that data to insurance companies and lenders Now with this new information the insurance company finds out, they're going to start charging you $3,000 (or whatever) extra a year to insure that house Here’s what I’ve found Large corporations and private equity firms are aggressively consolidating the home inspection industry primarily by buying inspection software platforms like Spectora, HomeGauge and larger inspection companies A home inspection report contains highly detailed property specific information like roof age and condition, electrical and plumbing issues, foundation problems, HVAC status, environmental hazards This is extremely valuable for: - Insurance companies (risk assessment and underwriting). - Lenders (property valuation and loan risk). - Home warranty providers, contractors, and data brokers Home inspections are supposed to be confidential between the buyer, inspector, and sometimes the real estate parties. However, many inspection software companies’ terms of service allow data aggregation and sharing That’s the loophole they found. That’s the scam

Wall Street Apes

268,678 Aufrufe • vor 2 Monaten

One of Chainlink's core value props is that it is a neutral technology platform that does not compete with its customers Specifically, Chainlink is not a blockchain, and does not compete with blockchains Rather, Chainlink enhances the utility of all public/private chains by providing the oracle services their ecosystems need to succeed long-term This neutrality is why Chainlink has *thousands* of blockchain, Web3, and TradFi partners who rely on Chainlink for critical functionalities including: - Onchain data delivery - Cross-chain interoperability - Automated compliance - Privacy-preserving compute - Legacy system integration - Multi-system workflow orchestration As the cost and friction of launching a blockchain continues to drop toward zero, the number of public/private chains that exist will expand from hundreds today to thousands in the future If a cross-chain provider wants to pivot by launching their own blockchain and begin competing with Ethereum, Solana, Canton, and all of their existing blockchain partners, I wish them luck on that That’s not the game Chainlink is playing While blockchains fiercely compete amongst each other to become the transactional database layer, Chainlink wins regardless of which chains are used For Chainlink, every new blockchain introduced to the market is all the more justification for why organizations need Chainlink as their orchestration layer to manage the complexity That’s why financial market infrastructure providers like Swift, DTCC, Euroclear, and more have adopted Chainlink, they understand the financial system needs an orchestration layer To emphasize my point, here is a clip from DTCC executives explaining how the rapidly growing number of blockchains is why their partnership with Chainlink is so important
1:12

One of Chainlink's core value props is that it is a neutral technology platform that does not compete with its customers Specifically, Chainlink is not a blockchain, and does not compete with blockchains Rather, Chainlink enhances the utility of all public/private chains by providing the oracle services their ecosystems need to succeed long-term This neutrality is why Chainlink has *thousands* of blockchain, Web3, and TradFi partners who rely on Chainlink for critical functionalities including: - Onchain data delivery - Cross-chain interoperability - Automated compliance - Privacy-preserving compute - Legacy system integration - Multi-system workflow orchestration As the cost and friction of launching a blockchain continues to drop toward zero, the number of public/private chains that exist will expand from hundreds today to thousands in the future If a cross-chain provider wants to pivot by launching their own blockchain and begin competing with Ethereum, Solana, Canton, and all of their existing blockchain partners, I wish them luck on that That’s not the game Chainlink is playing While blockchains fiercely compete amongst each other to become the transactional database layer, Chainlink wins regardless of which chains are used For Chainlink, every new blockchain introduced to the market is all the more justification for why organizations need Chainlink as their orchestration layer to manage the complexity That’s why financial market infrastructure providers like Swift, DTCC, Euroclear, and more have adopted Chainlink, they understand the financial system needs an orchestration layer To emphasize my point, here is a clip from DTCC executives explaining how the rapidly growing number of blockchains is why their partnership with Chainlink is so important

Zach Rynes | CLG

13,309 Aufrufe • vor 6 Monaten

1/ I’ve known Nick White for nearly 6 years. We met while building Harmony Protocol, he was a cofounder, I led growth. Nick is a genuine builder who cares about pushing crypto forward. We caught up on the pod to talk Celestia 🦣: what it is, why it matters, where it’s going. Summary Peter Abilla interviews Nick White, VP at Celestia Labs, to unpack how Celestia is solving the blockchain scalability problem. They explore the breakthrough of data availability sampling, the shift from monolithic to modular blockchains, and how Celestia fits into the broader Ethereum ecosystem. Nick shares insights on trade-offs in modular design, product market fit, cost advantages, and what’s next for ZKVMs and modular infra. Takeaways • Celestia is redefining how blockchains handle data availability • Blockchain scalability remains a major challenge • Data availability sampling (DAS) is a core innovation • Modular blockchains offer flexibility and specialization • Trade-offs exist between modular and monolithic designs • “Cathedral vs. Bazaar” analogy captures the decentralization shift • Celestia works alongside Ethereum, not against it • Product market fit depends on developer traction and real-world use • Celestia reduces costs and improves reliability • ZKVMs are key to the future of modular blockchain development Timeline (00:00) Introduction to Celestia and its vision (01:00) The scalability challenge in blockchain (06:04) How data availability sampling works (10:10) Comparing monolithic and modular blockchains (14:39) Trade-offs of modular blockchain design (18:21) The Cathedral and Bazaar analogy (22:41) How Celestia fits into the blockchain ecosystem (24:49) What makes Celestia’s architecture unique (26:08) Defining product market fit for Celestia (31:05) Cost savings and performance benefits (35:48) Distribution and growth strategy (40:13) ZKVMs and the modular future (44:36) What’s coming next for Celestia -------- Episode is brought to you by Infinex. Experience crypto designed for humans:
51:30

1/ I’ve known Nick White for nearly 6 years. We met while building Harmony Protocol, he was a cofounder, I led growth. Nick is a genuine builder who cares about pushing crypto forward. We caught up on the pod to talk Celestia 🦣: what it is, why it matters, where it’s going. Summary Peter Abilla interviews Nick White, VP at Celestia Labs, to unpack how Celestia is solving the blockchain scalability problem. They explore the breakthrough of data availability sampling, the shift from monolithic to modular blockchains, and how Celestia fits into the broader Ethereum ecosystem. Nick shares insights on trade-offs in modular design, product market fit, cost advantages, and what’s next for ZKVMs and modular infra. Takeaways • Celestia is redefining how blockchains handle data availability • Blockchain scalability remains a major challenge • Data availability sampling (DAS) is a core innovation • Modular blockchains offer flexibility and specialization • Trade-offs exist between modular and monolithic designs • “Cathedral vs. Bazaar” analogy captures the decentralization shift • Celestia works alongside Ethereum, not against it • Product market fit depends on developer traction and real-world use • Celestia reduces costs and improves reliability • ZKVMs are key to the future of modular blockchain development Timeline (00:00) Introduction to Celestia and its vision (01:00) The scalability challenge in blockchain (06:04) How data availability sampling works (10:10) Comparing monolithic and modular blockchains (14:39) Trade-offs of modular blockchain design (18:21) The Cathedral and Bazaar analogy (22:41) How Celestia fits into the blockchain ecosystem (24:49) What makes Celestia’s architecture unique (26:08) Defining product market fit for Celestia (31:05) Cost savings and performance benefits (35:48) Distribution and growth strategy (40:13) ZKVMs and the modular future (44:36) What’s coming next for Celestia -------- Episode is brought to you by Infinex. Experience crypto designed for humans:

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21,097 Aufrufe • vor 1 Jahr