[{"data":1,"prerenderedAt":383},["ShallowReactive",2],{"$fgukOamtKU1RtUiMFsqdObttmqPPQz0uc7bl_gj_LyX0":3,"$fMsM93gKsAK6b95vB7oSYVVT__lifTAzi-IS_LuDhNi8":245,"article-418":382},{"code":4,"msg":5,"data":6},0,"",{"category":7,"tag":11,"popular":19,"latest":86,"banner":126,"list":151,"cache":244},[8,9,10],"Agent","OpenAI","LLM",[8,12,13,14,9,10,15,16,17,18],"Google","Nvidia","Claude","DeepSeek","OCR","Chat","Generator",[20,29,37,45,54,62,70,79],{"id":21,"publish_date":22,"is_original":23,"collection":5,"cover_url":24,"cover_url_1_1":25,"title":26,"summary":27,"author":28},411,"2023-09-10",1,"article_res/cover/451ef50c225a8dc61c4336506794d13b.jpeg","article_res/cover/3ba9dc7a72f87d40b20fc2d225289ee3.jpeg","Idealism","Reality is created by the mind, we can change our reality by changing our mind. - Plato","Renee's Entrepreneurial Journey",{"id":30,"publish_date":31,"is_original":23,"collection":32,"cover_url":33,"cover_url_1_1":34,"title":35,"summary":36,"author":28},108,"2024-12-07","#LLM #AGI #AI Agent","article_res/cover/0039044422e4ec9f61c18e8ee1693bb0.jpeg","article_res/cover/4220971b108a91d21407d87bb02fbaa6.jpeg","Freysa.ai: The World's First Adversarial AI Agent Game","说服 Freysa 把钱包里的钱都拿出来",{"id":38,"publish_date":39,"is_original":23,"collection":40,"cover_url":41,"cover_url_1_1":42,"title":43,"summary":44,"author":28},12,"2025-03-09","#Oxford #Reasoning #LLM #Tool Use","article_res/cover/d448e9b3617a0b5302e1bd10c438bca9.jpeg","article_res/cover/864a468f9cc4c9317efadb3811909888.jpeg","Agentic Reasoning Framework - Significantly enhance the reasoning ability of LLMs through the integration of external tools using agents","Agentic Reasoning: Reasoning LLMs with Tools for Deep Research",{"id":46,"publish_date":47,"is_original":4,"collection":48,"cover_url":49,"cover_url_1_1":50,"title":51,"summary":52,"author":53},480,"2023-04-14","#Stable Diffusion","article_res/cover/0bdbe7cb1de4a78e54536e5d9afa7ec9.jpeg","article_res/cover/b3d6ffec0608dcfaf18c5a69906d1490.jpeg","【AIGC Learning】Generate Prompts Using Word Graphs - Stable Diffusion Web UI Series 13","AI will become a powerful tool in education, transforming the way we learn and deliver instruction.  \n- Reid Hoffman","--",{"id":55,"publish_date":56,"is_original":4,"collection":57,"cover_url":58,"cover_url_1_1":59,"title":60,"summary":61,"author":28},413,"2023-09-08","#Neuroscience","article_res/cover/74f8302d78a23d9430f22171eae136b6.jpeg","article_res/cover/87ca08af81bb304746be5261160964c0.jpeg","Can machines be conscious?","Do we have an ethical obligation to not turn off conscious machines? Would turning them off be murder? No. I don't lose any sleep over unplugging a conscious machine.\n- Jeff Hawkins, \"A Thousand Brains\"",{"id":63,"publish_date":64,"is_original":23,"collection":65,"cover_url":66,"cover_url_1_1":67,"title":68,"summary":69,"author":28},178,"2024-09-09","#Entrepreneurship","article_res/cover/a7224f025b55d1820408085faef63079.jpeg","article_res/cover/11a9995b096cbf64465ef01b8673b154.jpeg","37signals company","This damn sense of relaxation",{"id":71,"publish_date":72,"is_original":4,"collection":73,"cover_url":74,"cover_url_1_1":75,"title":76,"summary":77,"author":78},460,"2023-05-12","#Google","article_res/cover/b970687b12faa52da976f91248c2aa7b.jpeg","article_res/cover/d1e71b52cfd2c63bc6e71f3e85ff135c.jpeg","Learn what BRC-20 and Ordinals are using Google Bard","Ordinals - a new protocol that allows users to store arbitrary data on the Bitcoin blockchain","Google Bard mainly writes",{"id":80,"publish_date":81,"is_original":23,"collection":5,"cover_url":82,"cover_url_1_1":83,"title":84,"summary":85,"author":28},309,"2024-03-26","article_res/cover/9877f95894ee88532d0e6012c23a2df3.jpeg","article_res/cover/20092164ddc109ce6ae56b1984246751.jpeg","Learning the Cancun Upgrade with lepton and perplexity","Building a quick conversation-based search demo with Lepton AI.",[87,95,103,111,119],{"id":88,"publish_date":89,"is_original":23,"collection":90,"cover_url":91,"cover_url_1_1":92,"title":93,"summary":94,"author":28},627,"2025-03-20","#AI Avatar #AI Video Generation","article_res/cover/d95481358f73924989f8c4ee9c75d1c8.jpeg","article_res/cover/b74bc0fab01f8b6a6aa87696c0c3ed8b.jpeg","DisPose: Generating Animated Videos by Driving Video with Reference Images","DisPose is a controllable human image animation method that enhances video generation.",{"id":96,"publish_date":97,"is_original":23,"collection":98,"cover_url":99,"cover_url_1_1":100,"title":101,"summary":102,"author":28},626,"2025-03-21","#Deep Dive into LLMs #LLM #RL #Andrej Karpathy #AlphaGo","article_res/cover/446553a5c8f8f2f07d97b20eaee84e56.jpeg","article_res/cover/e6c2823409c9b34624064b9acbaca6f1.jpeg","AlphaGo and the Power of Reinforcement Learning - Andrej Karpathy's Deep Dive on LLMs (Part 9)","Simply learning from humans will never surpass human capabilities.",{"id":104,"publish_date":105,"is_original":23,"collection":106,"cover_url":107,"cover_url_1_1":108,"title":109,"summary":110,"author":28},625,"2025-03-22","#Deep Dive into LLMs #LLM #RL #RLHF #Andrej Karpathy","article_res/cover/8da81d38b1e5cf558a164710fd8a5389.jpeg","article_res/cover/96f028d76c362a99a0dd56389e8f7a9b.jpeg","Reinforcement Learning from Human Feedback (RLHF) - Andrej Karpathy's Deep Dive on LLMs (Part 10)","Fine-Tuning Language Models from Human Preferences",{"id":112,"publish_date":113,"is_original":23,"collection":114,"cover_url":115,"cover_url_1_1":116,"title":117,"summary":118,"author":28},624,"2025-03-23","#Deep Dive into LLMs #LLM #Andrej Karpathy #AI Agent #MMM","article_res/cover/a5e7c3d48bb09109684d6513287c661d.jpeg","article_res/cover/d3f22b7c0ab8d82fd2da457a299e0773.jpeg","The Future of Large Language Models - Andrej Karpathy's In-Depth Explanation of LLM (Part 11)","preview of things to come",{"id":120,"publish_date":113,"is_original":23,"collection":121,"cover_url":122,"cover_url_1_1":123,"title":124,"summary":125,"author":28},623,"#Google #Voe #AI Video Generation","article_res/cover/c44062fea0f336c2b96b3928292392c2.jpeg","article_res/cover/a041041c69092ad3db191c5bf3ff981b.jpeg","Trial of Google's video generation model VOE2","Our state-of-the-art video generation model",[127,135,143],{"id":128,"publish_date":129,"is_original":23,"collection":130,"cover_url":131,"cover_url_1_1":132,"title":133,"summary":134,"author":28},300,"2024-04-16","#AI in Science #AGI","article_res/cover/6bf01e793e0f33e848572412eebdf9b0.jpeg","article_res/cover/91a5ee21dafecb914fabeb9430d46ec1.jpeg","Would Einstein lose his job - AI and Quantum Computing: A Glimpse into the Near Future","So Einstein's job is still safe.",{"id":136,"publish_date":137,"is_original":23,"collection":138,"cover_url":139,"cover_url_1_1":140,"title":141,"summary":142,"author":28},101,"2024-12-14","#Nvidia #AI 3D Generator","article_res/cover/693e07c85980c5c0c8fde3f037733f23.jpeg","article_res/cover/9ea8edff2d5d303ff3fffff3f6f9c3d9.jpeg","NVIDIA's open-source 3D project LLaMA-Mesh","LLaMA-Mesh: Unifying 3D Mesh Generation with Language Models",{"id":144,"publish_date":145,"is_original":23,"collection":146,"cover_url":147,"cover_url_1_1":148,"title":149,"summary":150,"author":28},131,"2024-11-10","#OpenAI","article_res/cover/87f8ed353ce39f31960e7cdfaf075a35.jpeg","article_res/cover/f597a63935f5cd32e484b4aadd6019e8.jpeg","ChatGPT has launched the Search function","Get fast, timely answers with links to relevant web sources.",{"big":152,"small":214},[153,181],{"title":154,"list":155},"AGENT",[156,157,165,173],{"id":112,"publish_date":113,"is_original":23,"collection":114,"cover_url":115,"cover_url_1_1":116,"title":117,"summary":118,"author":28},{"id":158,"publish_date":159,"is_original":23,"collection":160,"cover_url":161,"cover_url_1_1":162,"title":163,"summary":164,"author":28},622,"2025-03-24","#OWL #AI Agent #MAS #MCP #CUA","article_res/cover/cb50ca7f2bf4d1ed50202d7406e1c19a.jpeg","article_res/cover/4aa7aa3badfacf3cc84121334f1050dd.jpeg","OWL: Multi-agent collaboration","OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation",{"id":166,"publish_date":167,"is_original":23,"collection":168,"cover_url":169,"cover_url_1_1":170,"title":171,"summary":172,"author":28},620,"2025-03-26","#LLM #Google #Gemini #AI Agent","article_res/cover/53751a6dbbe990b1eb0b63f3b062aed4.jpeg","article_res/cover/031344981f0a212ff82d1f3a64aa5756.jpeg","Gemini 2.5 Pro, claimed to be far ahead of the competition, has been released with great fanfare: comprehensively surpassing other LLMs and topping the global rankings","Gemini 2.5: Our most intelligent AI model",{"id":174,"publish_date":175,"is_original":23,"collection":176,"cover_url":177,"cover_url_1_1":178,"title":179,"summary":180,"author":28},616,"2025-03-29","#MAS #AI Agent #AI Coder #MetaGPT #MGX","article_res/cover/9dcd702ad2035902e5e77967c34a1f1e.jpeg","article_res/cover/0a97fc4a922753c8f46ff38792020df8.jpeg","MGX - An automated website-building platform composed of multiple AI Agents","Your 24/7 AI Team | Dream, Chat, Create.",{"title":182,"list":183},"OPENAI",[184,191,199,206],{"id":185,"publish_date":167,"is_original":23,"collection":186,"cover_url":187,"cover_url_1_1":188,"title":189,"summary":190,"author":28},619,"#OpenAI #AI Image Generator #4o #MMM #AR Transformer","article_res/cover/2faffc97fcecf3151552cb0fd3206d89.jpeg","article_res/cover/1133cb4948af44cee2e7fbe79efb69e5.jpeg","The native image function of GPT-4o is officially launched","Introducing 4o Image Generation",{"id":192,"publish_date":193,"is_original":4,"collection":194,"cover_url":195,"cover_url_1_1":196,"title":197,"summary":198,"author":28},434,"2023-07-15","#Anthropic #OpenAI #Google #AI Code Generator #Claude","article_res/cover/e1b6f600a2b9f262a4392684e5f2ce25.jpeg","article_res/cover/6e1772e83f78f9a351ab23d3e414adee.jpeg","Latest Updates on Google Bard /Anthropic Claude2 / ChatGPT Code Interpreter","We want our models to use their programming skills to provide more natural interfaces to the basic functions of our computers.  \n - OpenAI",{"id":200,"publish_date":201,"is_original":4,"collection":146,"cover_url":202,"cover_url_1_1":203,"title":204,"summary":205,"author":28},417,"2023-08-24","article_res/cover/bccf897d50a88b18364e35f7466387e0.jpeg","article_res/cover/2f871085c1073717c1703ae86e18056f.jpeg","The GPT-3.5 Turbo fine-tuning (fine-tuning function) has been released～","Developers can now bring their own data to customize GPT-3.5 Turbo for their use cases.",{"id":207,"publish_date":208,"is_original":4,"collection":209,"cover_url":210,"cover_url_1_1":211,"title":212,"summary":213,"author":28},407,"2023-09-22","#OpenAI #AI Image Generator","article_res/cover/c59005e903d35cfc32346e2756e2728a.jpeg","article_res/cover/ba011d265e6d84b5c8cb6fd6b757b6cc.jpeg","Dall-E 3","DALL·E 3 understands significantly more nuance and detail, allowing you to easily translate your ideas into images.",[215,221,241],{"title":10,"list":216},[217,218,219,220],{"id":96,"publish_date":97,"is_original":23,"collection":98,"cover_url":99,"cover_url_1_1":100,"title":101,"summary":102,"author":28},{"id":104,"publish_date":105,"is_original":23,"collection":106,"cover_url":107,"cover_url_1_1":108,"title":109,"summary":110,"author":28},{"id":112,"publish_date":113,"is_original":23,"collection":114,"cover_url":115,"cover_url_1_1":116,"title":117,"summary":118,"author":28},{"id":166,"publish_date":167,"is_original":23,"collection":168,"cover_url":169,"cover_url_1_1":170,"title":171,"summary":172,"author":28},{"title":222,"list":223},"GOOGLE",[224,225,226,234],{"id":120,"publish_date":113,"is_original":23,"collection":121,"cover_url":122,"cover_url_1_1":123,"title":124,"summary":125,"author":28},{"id":166,"publish_date":167,"is_original":23,"collection":168,"cover_url":169,"cover_url_1_1":170,"title":171,"summary":172,"author":28},{"id":227,"publish_date":228,"is_original":23,"collection":229,"cover_url":230,"cover_url_1_1":231,"title":232,"summary":233,"author":28},615,"2025-03-30","#AI Researcher #AI Science #HKU #Google #AI Agent","article_res/cover/21fadf906067714bb0db31ae13a77c15.jpeg","article_res/cover/2697999a72bd26b22e85f0e92936d3ed.jpeg","AI-Researcher: LLM-driven全自动 scientific research assistant","AI-Researcher: Fully-Automated Scientific Discovery with LLM Agents  \nOpen-Sourced Alternative to Google AI Co-Scientist",{"id":235,"publish_date":236,"is_original":23,"collection":73,"cover_url":237,"cover_url_1_1":238,"title":239,"summary":240,"author":28},463,"2023-05-09","article_res/cover/89800f207723acdb55fc53bf999ebdc9.jpeg","article_res/cover/5764f369b4accd8f83e94aa4c077a175.jpeg","The Smallville sandbox world - A town with 25 virtual residents","Believable proxies of human behavior can empower interactive apps: Immersive environment, Rehearsal space, Prototyping tool",{"title":242,"list":243},"NVIDIA",[],true,{"code":4,"msg":5,"data":246},{"id":247,"publish_date":248,"is_original":4,"collection":5,"articles_id":249,"cover_url":250,"cover_url_1_1":251,"title":252,"summary":253,"author":53,"content":254,"popular":255,"list":322,"category":380,"tag":381},418,"2023-08-23","GL-UFKKYKXThJgbD8UJgdA","article_res/cover/0882c39966a7cddb5ca2eafb8e8e5c12.jpeg","article_res/cover/6b46b2c8f170a8ac5a6c5ee499451d30.jpeg","Key Points of \"2023 Crypto Thesis\"","In the Belly Of The Bear","\u003Cdiv class=\"rich_media_content js_underline_content\n                       defaultNoSetting\n            \" id=\"js_content\">\u003Cp data-tool=\"markdown.com.cn编辑器\" style=\"font-size: 16px;padding-top: 8px;padding-bottom: 8px;margin: 0px;line-height: 26px;color: black;\">New Order is a孵化DAO driven by the Web3 community, acting as co-founders of emerging crypto projects to build the Web3 world together with Builders. Earlier this year, they published an article titled \"2023 Crypto Thesis.\" This piece highlights some of the key trends in blockchain for this year, which I found quite interesting. However, due to its length, I have summarized some of the main points below. Those who wish to read the original can do so at the following link: https://thesis.neworder.network/#the-construction-of-key-liquidity-infrastructure-will-address-the-bottleneck-of-liquidity-fragmentation-in-2023\u003C/p>\u003Ch2 data-tool=\"markdown.com.cn编辑器\" style=\"margin-top: 30px;margin-bottom: 15px;font-weight: bold;color: black;font-size: 22px;\">\u003Cspan class=\"content\">Part One\u003C/span>\u003Cspan class=\"suffix\">\u003C/span>\u003C/h2>\u003Ch3 data-tool=\"markdown.com.cn编辑器\" style=\"margin-top: 30px;margin-bottom: 15px;font-weight: bold;color: black;font-size: 20px;\">\u003Cspan class=\"content\">Still in a Bear Market\u003C/span>\u003C/h3>\u003Cp data-tool=\"markdown.com.cn编辑器\" style=\"font-size: 16px;padding-top: 8px;padding-bottom: 8px;margin: 0px;line-height: 26px;color: black;\">Due to the impacts of Luna, Three Arrows Capital, FTX, and others, liquidity issues and bankruptcies may continue to be discovered in CeFi and DeFi services, seriously hindering the regulatory process, investor activity, and consumer confidence.\u003C/p>\u003Csection>\u003Csection style=\"display: inline-block;\">\u003Cimg data-ratio=\"0.490234375\" data-type=\"jpg\" data-w=\"1024\" src=\"./assets/17434959026460.44676574956660553.jpeg\">\u003C/section>​\u003C/section>\u003Ch3 data-tool=\"markdown.com.cn编辑器\" style=\"margin-top: 30px;margin-bottom: 15px;font-weight: bold;color: black;font-size: 20px;\">\u003Cspan class=\"content\">EigenLayer will be Ethereum's most important innovation\u003C/span>\u003C/h3>\u003Cp data-tool=\"markdown.com.cn编辑器\" style=\"font-size: 16px;padding-top: 8px;padding-bottom: 8px;margin: 0px;line-height: 26px;color: black;\">EigenLayer is a set of smart contracts on Ethereum that allows ETH stakers at the consensus layer to choose to validate new software modules built on the Ethereum ecosystem. It is a \"re-staking\" protocol that allows ETH stakers to secure different networks and services such as data availability layers, sequencers, bridges, or other services built on Ethereum.\u003C/p>\u003Csection>\u003Csection style=\"display: inline-block;\">\u003Cimg data-ratio=\"0.5280898876404494\" data-type=\"jpg\" data-w=\"1246\" src=\"./assets/17434959033870.11417185006681385.jpeg\">\u003C/section>​\u003C/section>\u003Ch3 data-tool=\"markdown.com.cn编辑器\" style=\"margin-top: 30px;margin-bottom: 15px;font-weight: bold;color: black;font-size: 20px;\">\u003Cspan class=\"content\">Blob transactions won't solve scalability issues\u003C/span>\u003C/h3>\u003Cp data-tool=\"markdown.com.cn编辑器\" style=\"font-size: 16px;padding-top: 8px;padding-bottom: 8px;margin: 0px;line-height: 26px;color: black;\">EIP-4844, as the core content of the Cancun upgrade, introduces a new type of transaction (blob-carrying transaction) to reduce Ethereum's transaction costs. Blob-carrying transactions are similar to regular Ethereum transactions but carry additional data called blobs. Compared to current immutable call data storage and read-only memory, blobs offer greater storage capacity and are cheaper. However, blob transactions will not become a magical fix for Ethereum's scalability before modularization is achieved. Modularization will come with significant technical barriers and delays. The sharp increase in on-chain data will also drive the need for state expiration to mitigate state bloat and could even lead to changes in Ethereum's peer-to-peer structure.\u003C/p>\u003Csection>\u003Csection style=\"display: inline-block;\">\u003Cimg data-ratio=\"0.375\" data-type=\"jpg\" data-w=\"1536\" src=\"./assets/17434959027750.7023174015072233.jpeg\">\u003C/section>​\u003C/section>\u003Ch3 data-tool=\"markdown.com.cn编辑器\" style=\"margin-top: 30px;margin-bottom: 15px;font-weight: bold;color: black;font-size: 20px;\">\u003Cspan class=\"content\">ZK-Rollups won't gain significant attention in 2023\u003C/span>\u003C/h3>\u003Cp data-tool=\"markdown.com.cn编辑器\" style=\"font-size: 16px;padding-top: 8px;padding-bottom: 8px;margin: 0px;line-height: 26px;color: black;\">ZK-Rollup uses zero-knowledge proofs to perform off-chain computation and storage, then sends batches to Layer 1 where they are immediately validated or rejected. Due to the lack of production readiness (virtual machines and proof generation time) and inability to achieve sufficient decentralization, ZK-Rollups will not gain significant attention in 2023. Instead, it is expected that ZKPs will be widely used, especially in non-interactive state proofs, using them for various data-sharing purposes requiring on-chain or cross-chain storage proofs. Many bridges are expected to start using ZKPs for interoperability purposes.\u003C/p>\u003Csection>\u003Csection style=\"display: inline-block;\">\u003Cimg data-ratio=\"0.5625\" data-type=\"jpg\" data-w=\"1200\" src=\"./assets/17434959028550.06689176186182033.jpeg\">\u003C/section>​\u003C/section>\u003Ch3 data-tool=\"markdown.com.cn编辑器\" style=\"margin-top: 30px;margin-bottom: 15px;font-weight: bold;color: black;font-size: 20px;\">\u003Cspan class=\"content\">L3s will become Cosmos' true competitors\u003C/span>\u003C/h3>\u003Cp data-tool=\"markdown.com.cn编辑器\" style=\"font-size: 16px;padding-top: 8px;padding-bottom: 8px;margin: 0px;line-height: 26px;color: black;\">Layer 2 (L2s) enhance Ethereum's scalability by reducing gas fees and increasing throughput. Due to these scalability factors, there are trade-offs, and L2s must choose to optimize for specific projects. Layer 3 (L3s) are application-specific blockchains built on top of L2s, aiming to reduce these trade-offs and make further improvements. They are similar to app-chain environments like Cosmos, Avalanche, and Polkadot but benefit from being built on a modular blockchain protocol stack rather than a monolithic one. Therefore, deploying a fully modular blockchain infrastructure stack that includes a general-purpose L2 and customizable L3s will mark the end of the era of monolithic app-chain ecosystems and the beginning of a new era of decentralized application development.\u003C/p>\u003Csection>\u003Csection style=\"display: inline-block;\">\u003Cimg data-ratio=\"0.5625\" data-type=\"jpg\" data-w=\"1200\" src=\"./assets/17434959027430.6206831149306977.jpeg\">\u003C/section>​\u003C/section>\u003Ch2 data-tool=\"markdown.com.cn编辑器\" style=\"margin-top: 30px;margin-bottom: 15px;font-weight: bold;color: black;font-size: 22px;\">\u003Cspan class=\"content\">Part Two\u003C/span>\u003Cspan class=\"suffix\">\u003C/span>\u003C/h2>\u003Ch3 data-tool=\"markdown.com.cn编辑器\" style=\"margin-top: 30px;margin-bottom: 15px;font-weight: bold;color: black;font-size: 20px;\">\u003Cspan class=\"content\">Cosmos: The current version of ICS will face challenges in 2023\u003C/span>\u003C/h3>\u003Cp data-tool=\"markdown.com.cn编辑器\" style=\"font-size: 16px;padding-top: 8px;padding-bottom: 8px;margin: 0px;line-height: 26px;color: black;\">Cosmos is hailed as the \"Internet of Blockchains,\" aiming to connect various blockchains. Interchain Security (ICS) in its current state will not find market fit in terms of popularity and implementation, but this goal can be achieved through more customized and marketable solutions like Saga. This is because for small teams like independent game studios and projects that cannot afford Golang developers experienced with the Cosmos SDK, simply obtaining a validator set is not enough. By providing a customized app-chain solution with all building blocks, such as agnostic VM selection, validator sets, and simple setup, ICS may truly be adopted.\u003C/p>\u003Csection>\u003Csection style=\"display: inline-block;\">\u003Cimg data-ratio=\"0.5625\" data-type=\"jpg\" data-w=\"1200\" src=\"./assets/17434959030880.12468502768700551.jpeg\">\u003C/section>​\u003C/section>\u003Ch3 data-tool=\"markdown.com.cn编辑器\" style=\"margin-top: 30px;margin-bottom: 15px;font-weight: bold;color: black;font-size: 20px;\">\u003Cspan class=\"content\">Cosmos: Mesh security will lead to validator centralization\u003C/span>\u003C/h3>\u003Cp data-tool=\"markdown.com.cn编辑器\" style=\"font-size: 16px;padding-top: 8px;padding-bottom: 8px;margin: 0px;line-height: 26px;color: black;\">Mesh Security is essentially Interchain Security v3, allowing interconnected blockchains to mutually ensure each other's security in both directions. Cross-chain staking is at the core of Mesh Security, where validators verify transactions across multiple chains and are incentivized for good behavior on both chains. However, Mesh Security will increase the power of certain validator groups, leading to centralization and collusion, concentrating power heavily into a few validators (some of whom already possess significant power).\u003C/p>\u003Csection>\u003Csection style=\"display: inline-block;\">\u003Cimg data-ratio=\"0.5625\" data-type=\"jpg\" data-w=\"1200\" src=\"./assets/17434959032550.3167312931026596.jpeg\">\u003C/section>​\u003C/section>\u003Ch3 data-tool=\"markdown.com.cn编辑器\" style=\"margin-top: 30px;margin-bottom: 15px;font-weight: bold;color: black;font-size: 20px;\">\u003Cspan class=\"content\">Celestia: Data availability sampling will revolutionize blockchain development\u003C/span>\u003C/h3>\u003Cp data-tool=\"markdown.com.cn编辑器\" style=\"font-size: 16px;padding-top: 8px;padding-bottom: 8px;margin: 0px;line-height: 26px;color: black;\">Data Availability Sampling (DAS) will be the biggest innovation in building multiple aspects of blockchains. DAS allows you to increase decentralization (number of nodes) without losing throughput. Monolithic blockchains require every node to execute every transaction, making them inherently unscalable. Therefore, a multi-chain world is inevitable, and modular blockchains (modular blockchain) may be the best path to a multi-chain world. Celestia is the first true modular blockchain, whose vision is to combine Cosmos' sovereign interoperable zones and rollup-centric Ethereum, sharing security.\u003C/p>\u003Csection>\u003Csection style=\"display: inline-block;\">\u003Cimg data-ratio=\"0.5372750642673522\" data-type=\"jpg\" data-w=\"1167\" src=\"./assets/17434959033370.07381065619782934.jpeg\">\u003C/section>​\u003C/section>\u003Ch3 data-tool=\"markdown.com.cn编辑器\" style=\"margin-top: 30px;margin-bottom: 15px;font-weight: bold;color: black;font-size: 20px;\">\u003Cspan class=\"content\">Key infrastructure will be established to address the bottleneck of liquidity fragmentation in 2023\u003C/span>\u003C/h3>\u003Cp data-tool=\"markdown.com.cn编辑器\" style=\"font-size: 16px;padding-top: 8px;padding-bottom: 8px;margin: 0px;line-height: 26px;color: black;\">The fragmentation of liquidity - whether cross-chain or within a chain - creates noticeable price differences, creating an unfavorable environment for liquidity providers and traders. Liquidity providers struggle to accurately predict which trading venues have the highest volume and lowest fees to maximize capital utilization and income. Traders, on the other hand, suffer from high slippage, significantly worsening trading pricing and user experience. Trading infrastructure includes liquidity-oriented engines and communication protocols that allow efficient cross-chain asset and message transfers by providing a cross-chain liquidity guidance toolkit. This allows liquidity providers to allocate capital based on predictive models about capital utilization, slippage, and generated fees. Such infrastructure allows liquidity to be allocated to environments experiencing maximum trading volumes, thereby maximizing liquidity providers' capital utilization and minimizing traders' price impact.\u003C/p>\u003Ch3 data-tool=\"markdown.com.cn编辑器\" style=\"margin-top: 30px;margin-bottom: 15px;font-weight: bold;color: black;font-size: 20px;\">\u003Cspan class=\"content\">The most important issue to resolve in 2023: Exclusive Order Flow\u003C/span>\u003C/h3>\u003Cp data-tool=\"markdown.com.cn编辑器\" style=\"font-size: 16px;padding-top: 8px;padding-bottom: 8px;margin: 0px;line-height: 26px;color: black;\">The primary goal of block builders is to extract the maximum value from a series of \"orders\" or order flows. They ultimately have the motivation to receive private order flows as much as possible. This is known as the Exclusive Order Flow (EOF) problem. This is harmful to blockchain networks because builders who obtain exclusive rights to order flows, i.e., toxic order flows, gain an undue advantage over other builders, creating a centralized point on the network that could lead to market manipulation and transaction censorship. Moreover, the portion of value extracted from EOF (known as MEV, such as sandwich attacks) remains entirely with the extractor (builder/searcher), without redistributing rewards to other participants (validators/users). This situation is likely to result in a small group of colluding builders eliminating all other competitors and controlling the entire blockchain stack's order flow. Although many working solutions exist to prevent EOF from harming the network, none are currently fully operational. For the long-term prospects of any blockchain network, this threat indeed exists.\u003C/p>\u003Csection>\u003Csection style=\"display: inline-block;\">\u003Cimg data-ratio=\"1.25\" data-type=\"jpg\" data-w=\"1280\" src=\"./assets/17434959034710.48170062170082883.jpeg\">\u003C/section>​\u003C/section>\u003Ch2 data-tool=\"markdown.com.cn编辑器\" style=\"margin-top: 30px;margin-bottom: 15px;font-weight: bold;color: black;font-size: 22px;\">\u003Cspan class=\"content\">Part Three\u003C/span>\u003Cspan class=\"suffix\">\u003C/span>\u003C/h2>\u003Ch3 data-tool=\"markdown.com.cn编辑器\" style=\"margin-top: 30px;margin-bottom: 15px;font-weight: bold;color: black;font-size: 20px;\">\u003Cspan class=\"content\">Native cross-chain assets: the unwrapping of complex wrapped assets has begun\u003C/span>\u003C/h3>\u003Cp data-tool=\"markdown.com.cn编辑器\" style=\"font-size: 16px;padding-top: 8px;padding-bottom: 8px;margin: 0px;line-height: 26px;color: black;\">As developers recognize the immediate efficiency gains and security advantages of issuing cross-chain native assets, the gradual unwrapping of complex wrapped assets (such as cross-chain wETH) has begun. Governance, DAO tools, and liquidity systems are expected to increasingly focus on cross-chain capabilities.\u003C/p>\u003Csection>\u003Csection style=\"display: inline-block;\">\u003Cimg data-ratio=\"0.5620316402997502\" data-type=\"jpg\" data-w=\"1201\" src=\"./assets/17434959032640.9171746340502223.jpeg\">\u003C/section>​\u003C/section>\u003Ch3 data-tool=\"markdown.com.cn编辑器\" style=\"margin-top: 30px;margin-bottom: 15px;font-weight: bold;color: black;font-size: 20px;\">\u003Cspan class=\"content\">DeFi: Stablecoins and Pegged Assets will dominate DeFi\u003C/span>\u003C/h3>\u003Cp data-tool=\"markdown.com.cn编辑器\" style=\"font-size: 16px;padding-top: 8px;padding-bottom: 8px;margin: 0px;line-height: 26px;color: black;\">Pegged Assets refer to any derivative asset whose underlying value is pegged 1:1 to an external asset, including stablecoins like USDT and USDC, as well as Liquid Staking Derivatives (LSD) like stETH and sAVAX. Y2K Finance launched in October 2022, pioneering structured products that allow users to hedge or speculate on the risks of different pegged assets to profit.\u003C/p>\u003Csection>\u003Csection style=\"display: inline-block;\">\u003Cimg data-ratio=\"0.563\" data-type=\"jpg\" data-w=\"1000\" src=\"./assets/17434959030950.22874498066703453.jpeg\">\u003C/section>​\u003C/section>\u003Ch3 data-tool=\"markdown.com.cn编辑器\" style=\"margin-top: 30px;margin-bottom: 15px;font-weight: bold;color: black;font-size: 20px;\">\u003Cspan class=\"content\">DeFi Landscape: Power concentration among a few dominant players\u003C/span>\u003C/h3>\u003Cp data-tool=\"markdown.com.cn编辑器\" style=\"font-size: 16px;padding-top: 8px;padding-bottom: 8px;margin: 0px;line-height: 26px;color: black;\">The total locked value (TVL) of the DeFi market is currently around $39 billion, with a large proportion controlled by its largest applications and expected to grow larger. According to DeFi Llama, the top five DeFi applications account for nearly 50% of DeFi's total TVL, while the top ten control approximately 86%. It is expected that by 2023, due to the emergence of application-specific blockchains and the development of combined applications utilizing the capabilities of dominant applications, the dominance of top DeFi dapps in the market will become more pronounced.\u003C/p>\u003Csection>\u003Csection style=\"display: inline-block;\">\u003Cimg data-ratio=\"0.6245353159851301\" data-type=\"jpg\" data-w=\"2152\" src=\"./assets/17434959033980.8369139255390134.jpeg\">\u003C/section>​\u003C/section>\u003Ch3 data-tool=\"markdown.com.cn编辑器\" style=\"margin-top: 30px;margin-bottom: 15px;font-weight: bold;color: black;font-size: 20px;\">\u003Cspan class=\"content\">DAOs and Governance: New on-chain governance primitives will define decentralized efforts in 2023\u003C/span>\u003C/h3>\u003Cp data-tool=\"markdown.com.cn编辑器\" style=\"font-size: 16px;padding-top: 8px;padding-bottom: 8px;margin: 0px;line-height: 26px;color: black;\">In the current state of DeFi, there exists a fundamental contradiction where so-called decentralized applications are owned by the multisignature of \"trusted\" protocol founders and can be arbitrarily modified by governance. If on-chain governance systems are not thoroughly checked and tested, these pressures will further intensify because vulnerabilities in \"code is law\" cause further damage. This fear of governance vulnerabilities that cannot be \"controlled\" by centralized multisignatures is the main reason for the current centralized status quo. With the launch of Metropolis (previously Orca), ensuring a prudent decentralization roadmap without complete governance overhaul at the outset. With the introduction of pods, ownership of each critical smart contract can be isolated and delegated to a specific group of participants. This group can decentralize according to the needs of the protocol. Pod members can propose proposals, which are voted on by other Pod members and executed on-chain.\u003C/p>\u003Csection>\u003Csection style=\"display: inline-block;\">\u003Cimg data-ratio=\"0.5625\" data-type=\"jpg\" data-w=\"1200\" src=\"./assets/17434959028550.8630272950625211.jpeg\">\u003C/section>​\u003C/section>\u003Ch3 data-tool=\"markdown.com.cn编辑器\" style=\"margin-top: 30px;margin-bottom: 15px;font-weight: bold;color: black;font-size: 20px;\">\u003Cspan class=\"content\">2023 will see major application-level security upgrades and decentralization of auditors\u003C/span>\u003C/h3>\u003Cp data-tool=\"markdown.com.cn编辑器\" style=\"font-size: 16px;padding-top: 8px;padding-bottom: 8px;margin: 0px;line-height: 26px;color: black;\">In 2022, losses hit record highs due to smart contract and bridge attacks, social engineering, phishing, and targeted advanced persistent threat attacks, making web3 security challenges more apparent than ever. 2023 will be the year of the rise of security enhancement technologies, including AA wallets (shared in yesterday's article), reversible transactions, and cross-chain technology. Cybersecurity service providers (such as smart contract audit services) will continue to decentralize, increasingly acquiring characteristics of DAOs.\u003C/p>\u003Ch3 data-tool=\"markdown.com.cn编辑器\" style=\"margin-top: 30px;margin-bottom: 15px;font-weight: bold;color: black;font-size: 20px;\">\u003Cspan class=\"content\">NFTs: 2D liquidity transitions to 3D\u003C/span>\u003C/h3>\u003Cp data-tool=\"markdown.com.cn编辑器\" style=\"font-size: 16px;padding-top: 8px;padding-bottom: 8px;margin: 0px;line-height: 26px;color: black;\">Some existing projects are attempting to capitalize on this potential demand for NFT perpetual contracts. Given the virtual Automated Market Maker (vAMM) construction, this model eliminates the need for liquidity providers and order books, creating a player-versus-player (PvP) environment where traders profit from others' losses. In terms of NFT liquidity, innovation is not limited to perpetual contracts (like DeFi). We also explore innovations with oracles and how they help open new liquidity venues and bring trading volume to more niche areas of the NFT market.\u003C/p>\u003Csection>\u003Csection style=\"display: inline-block;\">\u003Cimg data-ratio=\"0.56006006006006\" data-type=\"jpg\" data-w=\"666\" src=\"./assets/17434959031060.7622874855315667.jpeg\">\u003C/section>​\u003C/section>\u003Csection>\u003Cbr>\u003C/section>\u003Csection>This concludes some of the key points from the article, and you can also choose to read the original.\u003C/section>\u003Cp style=\"display: none;\">\u003Cmp-style-type data-value=\"10000\">\u003C/mp-style-type>\u003C/p>\u003C/div>",[256,265,273,281,289,298,306,314],{"id":257,"title_md5":258,"publish_date":259,"author_md5":260,"is_original":23,"collection":261,"summary_md5":262,"cover_url":263,"cover_url_1_1":264},31,"ce89caabee1e81210e6c76703c53057e","2025-02-22","bc27fa490c4d0d525bac812fc0793534","#Deep Dive into LLMs #Andrej Karpathy #Tool Use #LLM","d5d17613a7f53d516ed352aae1a32621","article_res/cover/5467e5c1727674928e485404ba7c640d.jpeg","article_res/cover/d568c185751166507743b4f1353ec06a.jpeg",{"id":266,"title_md5":267,"publish_date":268,"author_md5":260,"is_original":23,"collection":269,"summary_md5":270,"cover_url":271,"cover_url_1_1":272},32,"8401f50aeb75b71ff26384c2c00033ff","2025-02-21","#AI Animation","f903e827b0b2bb965cfdbd53a6ed36fd","article_res/cover/da576ee109e6dc9e4479e39bc1a9fb4d.jpeg","article_res/cover/32e26313ac3f35346f39972519afb5bb.jpeg",{"id":274,"title_md5":275,"publish_date":276,"author_md5":260,"is_original":23,"collection":277,"summary_md5":278,"cover_url":279,"cover_url_1_1":280},444,"e9b10bd06b4af71fcff53ef2b7eb6a62","2023-06-12","#Microsoft","82c2f5a567d8f740149a41df23b15648","article_res/cover/690a412030488f27ac4d4b845d99c36c.jpeg","article_res/cover/a6e3eaaef47d440b4c605f90875ae9a8.jpeg",{"id":282,"title_md5":283,"publish_date":284,"author_md5":260,"is_original":4,"collection":285,"summary_md5":286,"cover_url":287,"cover_url_1_1":288},385,"86e3808158857aa9cb32fd04995bf4ce","2023-10-26","#Stable Diffusion #AI Animation","d2cb1645163307559107cd8ae6ceb914","article_res/cover/daf53481b94fc0c5e57c8105b63673da.jpeg","article_res/cover/a0344c987723c4015380d16b83234750.jpeg",{"id":290,"title_md5":291,"publish_date":292,"author_md5":293,"is_original":4,"collection":294,"summary_md5":295,"cover_url":296,"cover_url_1_1":297},166,"84bee74fc688483d7f09a720d65d035f","2024-09-28","fb0edf26dea7e6e8b89a99bc9d3a3170","#History of Intelligence #Neuroscience","65de02c4c252f8549f2c8cf3b410395d","article_res/cover/f8369fb63aabb4d9022b46f4e4786223.jpeg","article_res/cover/a89cf18d49193ae495dffd23bd3623e7.jpeg",{"id":299,"title_md5":300,"publish_date":301,"author_md5":260,"is_original":23,"collection":302,"summary_md5":303,"cover_url":304,"cover_url_1_1":305},33,"6c40127b9fc18b9ac95bd47472b7afff","2025-02-20","#Deep Dive into LLMs #Andrej Karpathy #LLM #CoT #Tool Use","17f56762b48e3d7bfe8c31c4282213cc","article_res/cover/7a9e0e615787dd27b01e1d591b8a78f7.jpeg","article_res/cover/d7740cfd9742034123c2f8780eecab69.jpeg",{"id":307,"title_md5":308,"publish_date":309,"author_md5":260,"is_original":23,"collection":310,"summary_md5":311,"cover_url":312,"cover_url_1_1":313},228,"f6b1f91b38036b73c3adbb0b6d43a22c","2024-07-05","#Anthropic #Claude","2e610ff74018f62275906bf3814f74c3","article_res/cover/62fce260e98362b7a50ca1664fb09c56.jpeg","article_res/cover/4b41f269d5012a98f13b790ef98b273c.jpeg",{"id":315,"title_md5":316,"publish_date":317,"author_md5":318,"is_original":4,"collection":5,"summary_md5":319,"cover_url":320,"cover_url_1_1":321},498,"921700a5a2767d41ecbb7eea92dfefbc","2022-12-06","e9e0ffb077470c58e4bd3a64b05ca5f4","53bda103d9e3da839fd1e02fc461f9b9","article_res/cover/1df4fc45208a83fe02c79808d4aa49cc.jpeg","article_res/cover/f14d52ccadcd0c206e5ccdbaeea7298f.jpeg",{"related":323,"small":365},[324,332,340,349,358],{"id":325,"publish_date":326,"is_original":23,"collection":327,"cover_url":328,"cover_url_1_1":329,"title":330,"summary":331,"author":28},223,"2024-07-09","#AI Avatar #Baidu","article_res/cover/8cdfa69c155ca75bfb2101d87ce85bfe.jpeg","article_res/cover/50b1a64df71a361cf086c3ac76b8825b.jpeg","Baidu's Hallo - Voice-driven Portrait Image Animation","Hallo - Hierarchical Audio-Driven Visual Synthesis for Portrait Image Animation",{"id":333,"publish_date":334,"is_original":23,"collection":335,"cover_url":336,"cover_url_1_1":337,"title":338,"summary":339,"author":28},204,"2024-08-05","#Flux","article_res/cover/35c36e3816ea77c05920c42e4c5134f0.jpeg","article_res/cover/c0a7db5e56efe88b6f86914ed3f2b679.jpeg","Former Stability AI engineer and Latent Diffusion inventor releases FLUX.1 text-to-image model","A new era of creation",{"id":341,"publish_date":342,"is_original":4,"collection":343,"cover_url":344,"cover_url_1_1":345,"title":346,"summary":347,"author":348},488,"2023-04-06","#Psychology","article_res/cover/619fd1fb8865eba85732953da8b42712.jpeg","article_res/cover/490f118eaa3025fb9d0d9d42e06108e5.jpeg","【Psychotherapy Notes】Curiosity and Self-Motivation","I have searched for him a thousand times among the multitude. Suddenly, I turned my head, and there he was, in the dimly lit place.","雷内",{"id":350,"publish_date":351,"is_original":4,"collection":352,"cover_url":353,"cover_url_1_1":354,"title":355,"summary":356,"author":357},491,"2023-04-03","#Stable Diffusion #AI Image Generator","article_res/cover/cc9aebb6229264492bef0fbaf83d1648.jpeg","article_res/cover/4d6ecc3edcc7ed5f6d919b9ee8f09473.jpeg","【AIGC Learning】Stable Diffusion web UI How-to Series - 4 X/Y/Z Chart Usage","This copilot will fall between useful and essential to most professionals and many other sorts of workers - Reid Hoffman","AIGC Learning Notes",{"id":359,"publish_date":360,"is_original":4,"collection":5,"cover_url":361,"cover_url_1_1":362,"title":363,"summary":364,"author":28},392,"2023-10-16","article_res/cover/9eb3bce873f3a977b2b873262a3d7ad7.jpeg","article_res/cover/52b509933682f55325af772de32b3e40.jpeg","Large language models' understanding of time and space","LLMs acquire structured knowledge such as space and time, supporting the view that they learn literal world models.",[366,372,378],{"title":10,"list":367},[368,369,370,371],{"id":96,"publish_date":97,"is_original":23,"collection":98,"cover_url":99,"cover_url_1_1":100,"title":101,"summary":102,"author":28},{"id":104,"publish_date":105,"is_original":23,"collection":106,"cover_url":107,"cover_url_1_1":108,"title":109,"summary":110,"author":28},{"id":112,"publish_date":113,"is_original":23,"collection":114,"cover_url":115,"cover_url_1_1":116,"title":117,"summary":118,"author":28},{"id":166,"publish_date":167,"is_original":23,"collection":168,"cover_url":169,"cover_url_1_1":170,"title":171,"summary":172,"author":28},{"title":222,"list":373},[374,375,376,377],{"id":120,"publish_date":113,"is_original":23,"collection":121,"cover_url":122,"cover_url_1_1":123,"title":124,"summary":125,"author":28},{"id":166,"publish_date":167,"is_original":23,"collection":168,"cover_url":169,"cover_url_1_1":170,"title":171,"summary":172,"author":28},{"id":227,"publish_date":228,"is_original":23,"collection":229,"cover_url":230,"cover_url_1_1":231,"title":232,"summary":233,"author":28},{"id":235,"publish_date":236,"is_original":23,"collection":73,"cover_url":237,"cover_url_1_1":238,"title":239,"summary":240,"author":28},{"title":242,"list":379},[],[8,9,10],[8,12,13,14,9,10,15,16,17,18],["Reactive",245],1754646414777]