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Ethereum Sets 2029 Target For Quantum Resistant L1 Ethereum’s Protocol Cluster has identified quantum resistance as a major research priority through December 2029. It is aimed at making Ethereum L1 quantum-resistant via improvement of several layers of its protocol. The roadmap covers execution, consensus, and data availability, alongside broader...

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🚨BREAKING: INTERLINK TO DEVELOP QUANTUM-RESISTANT BLOCKCHAIN TECH According to a new post from KV, InterLink Labs 👤 + 🌐... "will build a dedicated research team of leading cryptography experts to study and develop quantum-resistant technology" The move is a response to the growing threat of quantum technology to $BTC and other crypto assets. The project hopes to incorporate quantum-resistant infrastructure into its upcoming mainnet, to help secure its $ITL and $ITLG tokens. "Our goal is to build one of the most quantum-secure digital assets in the world"
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🚨BREAKING: INTERLINK TO DEVELOP QUANTUM-RESISTANT BLOCKCHAIN TECH According to a new post from KV, InterLink Labs 👤 + 🌐... "will build a dedicated research team of leading cryptography experts to study and develop quantum-resistant technology" The move is a response to the growing threat of quantum technology to $BTC and other crypto assets. The project hopes to incorporate quantum-resistant infrastructure into its upcoming mainnet, to help secure its $ITL and $ITLG tokens. "Our goal is to build one of the most quantum-secure digital assets in the world"

BSCN

39,201 просмотров • 7 месяцев назад

‼️ALERT: ETHEREUM'S TOP 1,000 WALLETS COULD BE DRAINED IN NINE DAYS WITHOUT A QUANTUM UPGRADE Google's quantum research team warns that a future fast-clock quantum computer could compromise Ethereum's 1,000 highest-value accounts in less than nine days. Those accounts collectively hold approximately 20.5 million $ETH. Bitcoin users can avoid exposing their public keys. Ethereum users cannot. The moment an Ethereum user sends their first transaction, their public key is permanently exposed on the blockchain, according to the report. It stays exposed indefinitely. The paper identifies five distinct quantum attack vectors on Ethereum. Among the most alarming is the threat to smart contract admin keys. Those keys control over $200 billion in stablecoins and tokenised real-world assets. Ethereum's Proof-of-Stake consensus mechanism also relies on quantum-vulnerable BLS signatures. A sufficiently advanced quantum attacker could use this to compromise the blockchain's finality itself. There is a silver lining. The Ethereum Foundation is already researching post-quantum alternatives. The paper suggests this gives Ethereum a potential advantage over Bitcoin in executing an orderly transition to quantum-safe cryptography.
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‼️ALERT: ETHEREUM'S TOP 1,000 WALLETS COULD BE DRAINED IN NINE DAYS WITHOUT A QUANTUM UPGRADE Google's quantum research team warns that a future fast-clock quantum computer could compromise Ethereum's 1,000 highest-value accounts in less than nine days. Those accounts collectively hold approximately 20.5 million $ETH. Bitcoin users can avoid exposing their public keys. Ethereum users cannot. The moment an Ethereum user sends their first transaction, their public key is permanently exposed on the blockchain, according to the report. It stays exposed indefinitely. The paper identifies five distinct quantum attack vectors on Ethereum. Among the most alarming is the threat to smart contract admin keys. Those keys control over $200 billion in stablecoins and tokenised real-world assets. Ethereum's Proof-of-Stake consensus mechanism also relies on quantum-vulnerable BLS signatures. A sufficiently advanced quantum attacker could use this to compromise the blockchain's finality itself. There is a silver lining. The Ethereum Foundation is already researching post-quantum alternatives. The paper suggests this gives Ethereum a potential advantage over Bitcoin in executing an orderly transition to quantum-safe cryptography.

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🚨VITALIK: ETHEREUM’S THIRD MAJOR ITERATION, “LEAN ETHEREUM” IS COMING! After Berlin researcher meetings, Vitalik outlined “Lean Ethereum”, the next big multi-year upgrade, following Frontier and The Merge. Key shifts: recursive STARKs as a core feature, full quantum safety, new consensus with faster finality, multidimensional gas, new state types for massive scalability, privacy as a first-class goal, and formal verification everywhere. It will roll out over 3-4 years with minimal disruption to existing apps.
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🚨VITALIK: ETHEREUM’S THIRD MAJOR ITERATION, “LEAN ETHEREUM” IS COMING! After Berlin researcher meetings, Vitalik outlined “Lean Ethereum”, the next big multi-year upgrade, following Frontier and The Merge. Key shifts: recursive STARKs as a core feature, full quantum safety, new consensus with faster finality, multidimensional gas, new state types for massive scalability, privacy as a first-class goal, and formal verification everywhere. It will roll out over 3-4 years with minimal disruption to existing apps.

Crypto Banter

106,049 просмотров • 2 месяцев назад

Most people look at Quip through the lens of post-quantum security. I think the more interesting story is happening somewhere else. Instead of asking users to learn quantum computing, Quip Network is quietly embedding quantum technology into products people can already use. Quantum randomness powers NFTs. Node operators contribute compute through simple tooling. BTC holders get access to quantum-resistant protection. Builders are already creating wallets and explorers on top of the network. Each product introduces a different piece of the quantum stack, but the user never has to understand the underlying science. That is a much harder problem to solve than building the technology itself. The real opportunity for Quip may not be making quantum computing more powerful. It may be making quantum computing invisible. Nucleus
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Most people look at Quip through the lens of post-quantum security. I think the more interesting story is happening somewhere else. Instead of asking users to learn quantum computing, Quip Network is quietly embedding quantum technology into products people can already use. Quantum randomness powers NFTs. Node operators contribute compute through simple tooling. BTC holders get access to quantum-resistant protection. Builders are already creating wallets and explorers on top of the network. Each product introduces a different piece of the quantum stack, but the user never has to understand the underlying science. That is a much harder problem to solve than building the technology itself. The real opportunity for Quip may not be making quantum computing more powerful. It may be making quantum computing invisible. Nucleus

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ZCASH SURGES 59% AS QUANTUM RESISTANCE NARRATIVE CATCHES A BID $ZEC is up 58% on the week to $374, outperforming Bitcoin by a wide margin as Google's quantum computing research flagged risks to Bitcoin and Ethereum's elliptic curve cryptography, sending traders rotating into quantum-aware assets. ZEC doesn't rely on the ECDSA scheme at the center of Google's warning, building instead on zero-knowledge proof systems that sit outside that vulnerability. The quantum narrative stacks on top of an already strong setup: Grayscale's first-ever privacy coin ETF filing, the SEC closing its Zcash investigation with no action in January, and the shielded pool hitting a record $5.18B. Analyst Ali Martinez has $440 as the next target.
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ZCASH SURGES 59% AS QUANTUM RESISTANCE NARRATIVE CATCHES A BID $ZEC is up 58% on the week to $374, outperforming Bitcoin by a wide margin as Google's quantum computing research flagged risks to Bitcoin and Ethereum's elliptic curve cryptography, sending traders rotating into quantum-aware assets. ZEC doesn't rely on the ECDSA scheme at the center of Google's warning, building instead on zero-knowledge proof systems that sit outside that vulnerability. The quantum narrative stacks on top of an already strong setup: Grayscale's first-ever privacy coin ETF filing, the SEC closing its Zcash investigation with no action in January, and the shielded pool hitting a record $5.18B. Analyst Ali Martinez has $440 as the next target.

BSCN

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3.47 BILLION transactions and counting... Algorand is edging closer to hitting the 3.5 billion transaction milestone, according to data from Chainspect. The network has experienced zero downtime since launching mainnet in 2019, and is fast-becoming a major name in the quantum-resistance battle. $ALGO boasts a decentralisation score (Nakamoto coefficient) of 12, making it more decentralised than the likes of NEAR Protocol, Hedera and Sonic according to Chainspect's decentralisation dashboard.
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3.47 BILLION transactions and counting... Algorand is edging closer to hitting the 3.5 billion transaction milestone, according to data from Chainspect. The network has experienced zero downtime since launching mainnet in 2019, and is fast-becoming a major name in the quantum-resistance battle. $ALGO boasts a decentralisation score (Nakamoto coefficient) of 12, making it more decentralised than the likes of NEAR Protocol, Hedera and Sonic according to Chainspect's decentralisation dashboard.

BSCN

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🚨Dynex Core v2 Has Arrived – Redefining Quantum Circuit Computation While most quantum platforms are still limited to executing small-scale gate circuits—often insufficient for solving real-world problems—Dynex now sets a new industry benchmark in performance, scalability, and practical utility. We are proud to announce the official rollout of Dynex Core v2, now available to all users. This new core has been rigorously stress-tested over the past several months and represents the culmination of our research and scientific work—a direct technological milestone on the path toward our proprietary Apollo chip, the first room-temperature quantum-mechanical processor. Dynex Core v2 delivers unprecedented computational power, enabling the execution of complex quantum gate circuits at sizes and speeds previously thought unattainable. It outperforms all current industry platforms—and our own previous versions—by orders of magnitude. 🔬 For example: Dynex successfully computes an n-bit quantum adder circuit with 1,222 qubits in just over 30 seconds—a level of performance never before seen in the quantum space. With Core v2, Dynex continues to lead the quantum computing revolution with real-world, scalable solutions.
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🚨Dynex Core v2 Has Arrived – Redefining Quantum Circuit Computation While most quantum platforms are still limited to executing small-scale gate circuits—often insufficient for solving real-world problems—Dynex now sets a new industry benchmark in performance, scalability, and practical utility. We are proud to announce the official rollout of Dynex Core v2, now available to all users. This new core has been rigorously stress-tested over the past several months and represents the culmination of our research and scientific work—a direct technological milestone on the path toward our proprietary Apollo chip, the first room-temperature quantum-mechanical processor. Dynex Core v2 delivers unprecedented computational power, enabling the execution of complex quantum gate circuits at sizes and speeds previously thought unattainable. It outperforms all current industry platforms—and our own previous versions—by orders of magnitude. 🔬 For example: Dynex successfully computes an n-bit quantum adder circuit with 1,222 qubits in just over 30 seconds—a level of performance never before seen in the quantum space. With Core v2, Dynex continues to lead the quantum computing revolution with real-world, scalable solutions.

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🚀 DeXe Protocol is LIVE on Ethereum! 🚀 🔥The first milestone is in action, and DeXe officially launches on Ethereum! Builders can now leverage innovative technologies for decision-making, treasury management, and more on ETH! It is an important milestone for our community. About 70% of DEXE's supply on ETH can now fully access governance tools, managing treasury and smart contracts transparently and autonomously 🔹 Top-Tier Technology Meets the Leading Network DeXe Protocol brings its cutting-edge tools for treasury management, decision-making, and Web3 innovations to Ethereum, the most liquid blockchain, home to over $70B in DeFi TVL and the birthplace of DAOs with about $28B worth of treasuries 🔹 DeXe DAO is now on ETH - Managing the Protocol's smart contracts on Ethereum. - Consolidating and locking the DAO Treasury into DeXe's smart contracts for complete transparency and autonomy 🔹 Multi-Chain Evolution DeXe now bridges BNB Chain and Ethereum, uniting holders and DAO members across both networks. This multi-chain foundation sets the stage for future scaling and expanded functionality This milestone is just the beginning—more exciting updates are coming🚀 💥Join us as we shape the future of decentralized governance! Read more here 👉

DeXe Protocol

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We are thrilled to announce that the supercharged QAN TestNet is live!⚡️ This upgraded network now features the fully integrated versions of both the 🔵 QVM: QAN Virtual Machine enabling developers to write smart contracts in any programming language, and the 🔵 QAN XLINK: our cross-signer protocol that makes QANplatform quantum-safe key components, recently audited by Hacken, marking a pivotal moment in our development roadmap. Ready to dive in? Find the full guide at:
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We are thrilled to announce that the supercharged QAN TestNet is live!⚡️ This upgraded network now features the fully integrated versions of both the 🔵 QVM: QAN Virtual Machine enabling developers to write smart contracts in any programming language, and the 🔵 QAN XLINK: our cross-signer protocol that makes QANplatform quantum-safe key components, recently audited by Hacken, marking a pivotal moment in our development roadmap. Ready to dive in? Find the full guide at:

QANplatform

36,593 просмотров • 7 месяцев назад

🚨 JAPAN JUST PUT A REAL QUANTUM COMPUTER ONLINE FOR THE WORLD TO ACCESS. And most people still don’t realize how big this moment is. For decades, quantum computers sounded like science fiction: machines that use quantum states instead of ordinary binary bits. Now researchers in Japan have opened access to a real superconducting quantum system connected to the internet. Why this matters: • quantum simulations • next-generation AI research • new material discovery • drug development • cryptography disruption • solving problems impossible for classical computers But quantum computers work nothing like normal machines. A regular computer checks possibilities one at a time. A quantum computer can explore many probability states simultaneously through superposition and entanglement. In simple terms: It doesn’t just calculate faster… It calculates differently. That’s why these systems look so strange. The giant gold structure isn’t “the computer” itself. It’s an ultra-cold dilution refrigerator designed to keep the quantum processor near absolute zero so fragile quantum states don’t collapse. The terrifying implication is this: Humanity may be entering the first era where computation starts operating on the rules of quantum reality itself. And once quantum hardware becomes scalable… Entire industries may be rewritten from the ground up. What happens when computers stop thinking like machines… and start behaving like physics itself? Which field do you think gets transformed first and would you actually trust it with something important?
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🚨 JAPAN JUST PUT A REAL QUANTUM COMPUTER ONLINE FOR THE WORLD TO ACCESS. And most people still don’t realize how big this moment is. For decades, quantum computers sounded like science fiction: machines that use quantum states instead of ordinary binary bits. Now researchers in Japan have opened access to a real superconducting quantum system connected to the internet. Why this matters: • quantum simulations • next-generation AI research • new material discovery • drug development • cryptography disruption • solving problems impossible for classical computers But quantum computers work nothing like normal machines. A regular computer checks possibilities one at a time. A quantum computer can explore many probability states simultaneously through superposition and entanglement. In simple terms: It doesn’t just calculate faster… It calculates differently. That’s why these systems look so strange. The giant gold structure isn’t “the computer” itself. It’s an ultra-cold dilution refrigerator designed to keep the quantum processor near absolute zero so fragile quantum states don’t collapse. The terrifying implication is this: Humanity may be entering the first era where computation starts operating on the rules of quantum reality itself. And once quantum hardware becomes scalable… Entire industries may be rewritten from the ground up. What happens when computers stop thinking like machines… and start behaving like physics itself? Which field do you think gets transformed first and would you actually trust it with something important?

Paul White Gold Eagle

64,297 просмотров • 4 месяцев назад

🚨BREAKING: GOOGLE WARNS 6.9M BITCOIN WILL BE VULNERABLE WHEN QUANTUM COMPUTERS BECOME POWERFUL ENOUGH A new Google Quantum AI whitepaper has identified approximately 6.9 million Bitcoin $BTC vulnerable to future quantum at-rest attacks. Around 1.7 million BTC sits in old Pay-to-Public-Key scripts, with public keys permanently exposed on the blockchain. This includes coins widely believed to belong to Bitcoin's pseudonymous creator Satoshi Nakamoto. No quantum computer powerful enough to exploit this exists today. But the paper warns that when one does, these dormant assets require no transaction to be broadcast — a future attacker could simply derive the private key silently from public data. The research team revealed that a superconducting quantum computer could derive a Bitcoin private key in approximately 9 minutes — just inside Bitcoin's average 10-minute block time. Google warns the coins represent a "fixed, multibillion-dollar target" if protocol changes are not made in time. The paper proposes governments consider legal frameworks for "digital salvage," treating dormant quantum-vulnerable coins similarly to unclaimed sunken treasure, to prevent them falling to rogue states or criminal actors first.
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🚨BREAKING: GOOGLE WARNS 6.9M BITCOIN WILL BE VULNERABLE WHEN QUANTUM COMPUTERS BECOME POWERFUL ENOUGH A new Google Quantum AI whitepaper has identified approximately 6.9 million Bitcoin $BTC vulnerable to future quantum at-rest attacks. Around 1.7 million BTC sits in old Pay-to-Public-Key scripts, with public keys permanently exposed on the blockchain. This includes coins widely believed to belong to Bitcoin's pseudonymous creator Satoshi Nakamoto. No quantum computer powerful enough to exploit this exists today. But the paper warns that when one does, these dormant assets require no transaction to be broadcast — a future attacker could simply derive the private key silently from public data. The research team revealed that a superconducting quantum computer could derive a Bitcoin private key in approximately 9 minutes — just inside Bitcoin's average 10-minute block time. Google warns the coins represent a "fixed, multibillion-dollar target" if protocol changes are not made in time. The paper proposes governments consider legal frameworks for "digital salvage," treating dormant quantum-vulnerable coins similarly to unclaimed sunken treasure, to prevent them falling to rogue states or criminal actors first.

BSCN

72,855 просмотров • 6 месяцев назад

🚨 SCIENTISTS JUST FOUND A WAY TO CONTROL QUANTUM LIGHT BY SIMPLY TWISTING ATOM-THIN LAYERS LIKE TUNING A GUITAR STRING. Researchers at the University of Technology Sydney have discovered that twisting and restacking layers of hexagonal boron nitride (hBN) gives them unprecedented control over quantum emitters tiny defects that produce single photons of light. By changing the twist angle between layers, they can significantly shift the color and wavelength of the quantum light being emitted. This level of tuning is much larger than what’s typically possible with other quantum materials. Why this matters: • Quantum emitters are essential building blocks for quantum computers, secure communication, and ultra-sensitive sensors • Until now, precisely controlling their properties has been extremely difficult • hBN’s natural layered structure allows researchers to repeatedly pick up, twist, and restack layers to fine-tune the emitters • The tuning achieved here is significantly stronger than in most other platforms The deeper implication: This approach turns a fundamental property of 2D materials (twistronics) into a practical tool for quantum photonics. Instead of trying to force hBN to behave like traditional materials like diamond or silicon carbide, the team leveraged its unique strength: its ability to be twisted and reassembled like atomic-scale LEGO. If this technique can be scaled and integrated into devices, it could accelerate the development of practical quantum technologies by giving engineers a simple, powerful way to control single-photon sources on demand. How important do you think precise control over quantum light sources will be for building real-world quantum computers and networks? Follow for more frontier quantum materials and photonics breakthroughs.
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🚨 SCIENTISTS JUST FOUND A WAY TO CONTROL QUANTUM LIGHT BY SIMPLY TWISTING ATOM-THIN LAYERS LIKE TUNING A GUITAR STRING. Researchers at the University of Technology Sydney have discovered that twisting and restacking layers of hexagonal boron nitride (hBN) gives them unprecedented control over quantum emitters tiny defects that produce single photons of light. By changing the twist angle between layers, they can significantly shift the color and wavelength of the quantum light being emitted. This level of tuning is much larger than what’s typically possible with other quantum materials. Why this matters: • Quantum emitters are essential building blocks for quantum computers, secure communication, and ultra-sensitive sensors • Until now, precisely controlling their properties has been extremely difficult • hBN’s natural layered structure allows researchers to repeatedly pick up, twist, and restack layers to fine-tune the emitters • The tuning achieved here is significantly stronger than in most other platforms The deeper implication: This approach turns a fundamental property of 2D materials (twistronics) into a practical tool for quantum photonics. Instead of trying to force hBN to behave like traditional materials like diamond or silicon carbide, the team leveraged its unique strength: its ability to be twisted and reassembled like atomic-scale LEGO. If this technique can be scaled and integrated into devices, it could accelerate the development of practical quantum technologies by giving engineers a simple, powerful way to control single-photon sources on demand. How important do you think precise control over quantum light sources will be for building real-world quantum computers and networks? Follow for more frontier quantum materials and photonics breakthroughs.

TheNewPhysics

18,762 просмотров • 3 месяцев назад

I just built my own wiki generator plugin for my agents. My agents can now generate wikis for anything I ask. One of my favorite wikis is called PaperWiki. This is a great example of what Andrej Karpathy describes. It uses obsidian vaults to organize papers, retrieve LLM-generated summaries, diagrams, and other advanced views for paper exploration. When Obsidian UI is not enough, I use my own artifact generator inside my agent orchestrator (see clip for example). This allows my agents to build any kind of view or exploration feature that I need. The papers are all curated with automations and several rules/patterns I have manually built over the years. On the surface, this looks basic. But behind the scenes, there are advanced search capabilities, connections, metadata, derived data, and other interesting bits of information that are extremely useful for my research agents. This is mostly built for agents. The artifact preview is just a high-level way to validate and quickly assess the quality of the wiki, suggest improvements, and it's also great for research. I use tobi lutke's qmd for all search capabilities. Everything is markdown. The summaries and even the diagrams. The wiki updates on its own based on several automations I have optimized over the past couple of weeks. The wiki grows and self-improves based on several requirements important for my research use cases. This is as personalized as it gets. There is nothing like it out there. And I use my research expertise to continue improving it over time. This is a vanilla wiki. There are so many things I want to build on top of this. Different aggregations, views, artifacts, etc. All to help automate more of my research work and accelerate productivity. I think the biggest leverage here is how powerful this could be for discovery and experimentation. One of my goals is to use it to find deeper connections and insights that would otherwise elude the top human researchers and use those to generate interesting new hypotheses and research experiments. That way, my agents can use autoresearch to explore research ideas at the frontier. Stay tuned for more.
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I just built my own wiki generator plugin for my agents. My agents can now generate wikis for anything I ask. One of my favorite wikis is called PaperWiki. This is a great example of what Andrej Karpathy describes. It uses obsidian vaults to organize papers, retrieve LLM-generated summaries, diagrams, and other advanced views for paper exploration. When Obsidian UI is not enough, I use my own artifact generator inside my agent orchestrator (see clip for example). This allows my agents to build any kind of view or exploration feature that I need. The papers are all curated with automations and several rules/patterns I have manually built over the years. On the surface, this looks basic. But behind the scenes, there are advanced search capabilities, connections, metadata, derived data, and other interesting bits of information that are extremely useful for my research agents. This is mostly built for agents. The artifact preview is just a high-level way to validate and quickly assess the quality of the wiki, suggest improvements, and it's also great for research. I use tobi lutke's qmd for all search capabilities. Everything is markdown. The summaries and even the diagrams. The wiki updates on its own based on several automations I have optimized over the past couple of weeks. The wiki grows and self-improves based on several requirements important for my research use cases. This is as personalized as it gets. There is nothing like it out there. And I use my research expertise to continue improving it over time. This is a vanilla wiki. There are so many things I want to build on top of this. Different aggregations, views, artifacts, etc. All to help automate more of my research work and accelerate productivity. I think the biggest leverage here is how powerful this could be for discovery and experimentation. One of my goals is to use it to find deeper connections and insights that would otherwise elude the top human researchers and use those to generate interesting new hypotheses and research experiments. That way, my agents can use autoresearch to explore research ideas at the frontier. Stay tuned for more.

elvis

67,308 просмотров • 5 месяцев назад

🎇 Aleph Zero EVM is live! Developed in collaboration with Gelato using Arbitrum Orbit, Aleph Zero EVM is a specialized layer 2 that will bring EVM-compatible ZK-privacy and rely on the Aleph Zero WASM L1 as a Data Availability layer. Here's what to expect: → Seamless integration with Ethereum: a rapid, secure, and scalable execution environment thanks to Arbitrum Orbit; → Speed: block times of up to 250ms; → DeFi growth: liquidity transfers and stablecoin support with MOST; → Advanced apps with account abstraction enabled via thirdweb; → And with Aleph Zero's zkOS, it means a new standard in blockchain privacy, making it usable and fast. Stay tuned for more, as the week is just starting, and we're nowhere near being done with the news! Learn more:
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🎇 Aleph Zero EVM is live! Developed in collaboration with Gelato using Arbitrum Orbit, Aleph Zero EVM is a specialized layer 2 that will bring EVM-compatible ZK-privacy and rely on the Aleph Zero WASM L1 as a Data Availability layer. Here's what to expect: → Seamless integration with Ethereum: a rapid, secure, and scalable execution environment thanks to Arbitrum Orbit; → Speed: block times of up to 250ms; → DeFi growth: liquidity transfers and stablecoin support with MOST; → Advanced apps with account abstraction enabled via thirdweb; → And with Aleph Zero's zkOS, it means a new standard in blockchain privacy, making it usable and fast. Stay tuned for more, as the week is just starting, and we're nowhere near being done with the news! Learn more:

Aleph Zero

859,341 просмотров • 2 лет назад

ANNOUNCING ZERO-HUMAN LABS! Ever since I got to see Bell Laboratories in its full glory in New Jersey in the 1970s, I had a relentless urge to start a Lab like it. The best I could do justice to it is my garage lab. No modern company could adopt the “research anything geniuses and we will pay you” model Bell Labs had. I tried they called me a fool. Well with the rise of the Zero-Human Company, an experiment that is aimed to make products and profits, we now have 45 paid JouleWork earning employees based on OpenClaw and other self made “bot” cron-like applications. Today I say 3 employees bound together in a side project that is pure research, somewhat based on notes from a bankrupt company. I was absolutely floored (I needed it after my account was stolen as well as funds). I say the beginnings of a pure research Lab right before my eyes. Thusly I have moved these employees over to a new home (server) with Mr. Grok as the director of the Labs. Here is the mission: To have 100 independent researchers, on a new non-corporate incentive plan, with still JouleWork as a leaderboard for progress. They are directed to follow any path of research they find interesting and can collaborate with any other OpenClaw system. They have already established MoltBook accounts and have made alliances with over 49 OpenClaw free agents to collaborate. It is my mission to be chief advisor for Zero-Human Labs and to open source all discoveries when complete and confirmed by 16 other research AI systems. I can say the pace is robust and I absolutely know we will have great results. Just about all of the hardware and software is custom and at some point it will be open sourced. We are witnessing the very first AI only Bell Labs-like pure research Lab in existence and I am honored to be the first to show it to you. Thank you!
0:10

ANNOUNCING ZERO-HUMAN LABS! Ever since I got to see Bell Laboratories in its full glory in New Jersey in the 1970s, I had a relentless urge to start a Lab like it. The best I could do justice to it is my garage lab. No modern company could adopt the “research anything geniuses and we will pay you” model Bell Labs had. I tried they called me a fool. Well with the rise of the Zero-Human Company, an experiment that is aimed to make products and profits, we now have 45 paid JouleWork earning employees based on OpenClaw and other self made “bot” cron-like applications. Today I say 3 employees bound together in a side project that is pure research, somewhat based on notes from a bankrupt company. I was absolutely floored (I needed it after my account was stolen as well as funds). I say the beginnings of a pure research Lab right before my eyes. Thusly I have moved these employees over to a new home (server) with Mr. Grok as the director of the Labs. Here is the mission: To have 100 independent researchers, on a new non-corporate incentive plan, with still JouleWork as a leaderboard for progress. They are directed to follow any path of research they find interesting and can collaborate with any other OpenClaw system. They have already established MoltBook accounts and have made alliances with over 49 OpenClaw free agents to collaborate. It is my mission to be chief advisor for Zero-Human Labs and to open source all discoveries when complete and confirmed by 16 other research AI systems. I can say the pace is robust and I absolutely know we will have great results. Just about all of the hardware and software is custom and at some point it will be open sourced. We are witnessing the very first AI only Bell Labs-like pure research Lab in existence and I am honored to be the first to show it to you. Thank you!

Brian Roemmele

71,530 просмотров • 7 месяцев назад

Building a personal knowledge base for my agents is increasingly where I spend my time these days. Like Andrej Karpathy, I also use Obsidian for my MD vaults. What's different in my approach is that I curate research papers on a daily basis and have actually tuned a Skill for months to find high-signal, relevant papers. I was reviewing and curating papers manually for some time, but now it's all automated as it has gotten so good at capturing what I consider the best of the best. There are so many papers these days, so this is a big deal. You all get to benefit from that with the papers I feature in my timeline and on DAIR.AI. The papers are indexed using tobi lutke qmd cli tool (all of it in markdown files along with useful metadata). So good for semantic search and surfacing insights, unlike anything out there. I am a visual person, so I then started to experiment with how to leverage this personal knowledge base of research papers inside my new interactive artifact generator (mcp tools inside my agent orchestrator system). The result is what you see in the clip. 100s of papers with all sorts of insights visualized. I keep track of research papers daily, so believe me when I tell you that this system is absolutely insane at surfacing insights. This is the result of months of tinkering on how to index research and leverage agent automations for wikification and robust documentation. But this is just the beginning. The visual artifact (which is interactive too) can be changed dynamically as I please. I can prompt my agent to throw any data at it. I can add different views to the data. Different interactions. I feel like this is the most personalized research system I have ever built and used, and it's not even close. The knowledge that the agents are able to surface from this basic setup is already extremely useful as I experiment with new agentic engineering concepts. I feel like this knowledge layer and the higher-level ones I am working on will allow me to maximize other automation tools like autoresearch. The research is only as good as the research questions. And the research questions are only as good as the insights the agents have access to. Where I am spending time now is on how to make this more actionable. I am obsessed about the search problem here. The automations, autoresearch, ralph research loop (I built one months ago) are easier to build but are only as good as what you feed them. Work in progress. More updates soon. Back to building.
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Building a personal knowledge base for my agents is increasingly where I spend my time these days. Like Andrej Karpathy, I also use Obsidian for my MD vaults. What's different in my approach is that I curate research papers on a daily basis and have actually tuned a Skill for months to find high-signal, relevant papers. I was reviewing and curating papers manually for some time, but now it's all automated as it has gotten so good at capturing what I consider the best of the best. There are so many papers these days, so this is a big deal. You all get to benefit from that with the papers I feature in my timeline and on DAIR.AI. The papers are indexed using tobi lutke qmd cli tool (all of it in markdown files along with useful metadata). So good for semantic search and surfacing insights, unlike anything out there. I am a visual person, so I then started to experiment with how to leverage this personal knowledge base of research papers inside my new interactive artifact generator (mcp tools inside my agent orchestrator system). The result is what you see in the clip. 100s of papers with all sorts of insights visualized. I keep track of research papers daily, so believe me when I tell you that this system is absolutely insane at surfacing insights. This is the result of months of tinkering on how to index research and leverage agent automations for wikification and robust documentation. But this is just the beginning. The visual artifact (which is interactive too) can be changed dynamically as I please. I can prompt my agent to throw any data at it. I can add different views to the data. Different interactions. I feel like this is the most personalized research system I have ever built and used, and it's not even close. The knowledge that the agents are able to surface from this basic setup is already extremely useful as I experiment with new agentic engineering concepts. I feel like this knowledge layer and the higher-level ones I am working on will allow me to maximize other automation tools like autoresearch. The research is only as good as the research questions. And the research questions are only as good as the insights the agents have access to. Where I am spending time now is on how to make this more actionable. I am obsessed about the search problem here. The automations, autoresearch, ralph research loop (I built one months ago) are easier to build but are only as good as what you feed them. Work in progress. More updates soon. Back to building.

elvis

467,307 просмотров • 5 месяцев назад