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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":249,"articles_id":250,"cover_url":251,"cover_url_1_1":252,"title":253,"summary":254,"author":255,"content":256,"popular":257,"list":322,"category":373,"tag":374},516,"2022-06-11","#Philosophy","A3ZH4tvsPRtBrmpEqzCBkA","article_res/cover/ad548e2f51cbb747d1a54fb5757f5971.jpeg","article_res/cover/883e6ae75ab5933479f0ba27447695b4.jpeg","Science and Philosophy","Science was born as a result and consequence of philosophy; it cannot survive without a philosophical base.","Notes","\u003Cdiv class=\"rich_media_content js_underline_content\n                       autoTypeSetting24psection\" id=\"js_content\">\u003Cp>Science and philosophy have similarities: science deals with laws and general rules, while philosophy seeks universal truths; however, the questions raised by philosophy are different from those of scientists, as are the methods to solve them.\u003C/p>\u003Cp>If a book's content goes beyond the daily, routine, normal life experiences, it is a scientific book; otherwise, it is a philosophical one. Aristotle's \"Physics\" should be classified as a philosophical book, whereas Newton's \"Mathematical Principles of Natural Philosophy\" should be considered a scientific work.\u003C/p>\u003Cp>Philosophers are thinkers sitting in rocking chairs, and the facts or observations they propose will not exceed ordinary people's life experiences. They prove their statements through normal common experiences. Scientists, on the other hand, are observers who rely on experiments, depending on precise observation and research, and the results of their experiments must possess reliability and validity.\u003C/p>\u003Cp>Both scientists and philosophers need to think and observe, but they do so based on different observational results. Scientists provide evidence from specific experiences, while philosophers use examples from human universality.\u003C/p>\u003Cp>\u003Cbr>\u003C/p>\u003Cp>\u003Cstrong>How to read scientific books?\u003C/strong>\u003C/p>\u003Cp>For instance, reading mathematics. Mathematics is actually a language, and it should be learned like learning one's own language; the difference lies in that one’s own language is learned twice: how to speak and how to read; whereas mathematics only has written language. Therefore, similar to the first time receiving reading guidance in elementary school, learn to recognize specific symbols appearing on each page; memorize the relationships between symbols. Then enter the skimming phase, where there are many propositions in the book. You can first look at the explanation of the theorem, then check the conclusion, and grasp how it was proven. Of course, this kind of reading premise is that you are not becoming an expert in this subject, but rather understanding related issues.\u003C/p>\u003Cp>\u003Cbr>\u003C/p>\u003Cp>\u003Cstrong>How to read philosophical books?\u003C/strong>\u003C/p>\u003Cp>We need to realize that the profound questions posed by great philosophers are the same ones children are asking; being able to retain the childlike perspective on the world while maturely understanding the significance of preserving these questions. So we need to learn from them, asking questions with a child's innocence and answering with the maturity of a wise person. The questions philosophers raise generally fall into two categories: existence/being, change/formation. Understanding the standpoint of philosophical methods is crucial. Moreover, philosophical concepts cannot be arbitrarily pieced together. There are strict tests for answering philosophical questions to confirm whether the answers are logically sound. This testing is purely general, but philosophers think more deeply than the average person.\u003C/p>\u003Cp>\u003Cbr>\u003C/p>\u003Cp>Finally, the greatest feature of philosophical questions is that everyone needs to answer these questions themselves, whereas scientific questions require the testimony of experts and experimental results to answer.\u003C/p>\u003C/div>",[258,267,275,283,291,299,306,314],{"id":259,"title_md5":260,"publish_date":261,"author_md5":262,"is_original":23,"collection":263,"summary_md5":264,"cover_url":265,"cover_url_1_1":266},86,"bad02657da8a3135dbd548e0f7d5b89e","2024-12-29","bc27fa490c4d0d525bac812fc0793534","#Psychology","b22369394df0aacf609d0ea50eca59c4","article_res/cover/1edb960abd811b9c693d6257b8640104.jpeg","article_res/cover/10af8034a63e7adc1d5dfc507847e1a2.jpeg",{"id":268,"title_md5":269,"publish_date":270,"author_md5":271,"is_original":4,"collection":5,"summary_md5":272,"cover_url":273,"cover_url_1_1":274},528,"f59e70e7117ce4d5aaf993ea5f893d8f","2022-05-28","70997a2931a60561e615f5171df5f9a5","8689effe14bfb1cd5271127450293093","article_res/cover/056a477a27e0bb2f46e99b06d6e4588b.jpeg","article_res/cover/a1adf4fa5409d983ca82bd693eca9a3b.jpeg",{"id":276,"title_md5":277,"publish_date":278,"author_md5":262,"is_original":23,"collection":279,"summary_md5":280,"cover_url":281,"cover_url_1_1":282},279,"ba0ac42ded134f1003aa98ea51c85034","2024-05-10","#AI Virtual Try-On #AI 3D Generator","b53bbda4d7bf59cad46e0962dfac157e","article_res/cover/aa193f3119209657e4e0e45bbdb8cc8f.jpeg","article_res/cover/9fac13fcfb70b92015e9a629a98b93d4.jpeg",{"id":284,"title_md5":285,"publish_date":286,"author_md5":262,"is_original":23,"collection":287,"summary_md5":288,"cover_url":289,"cover_url_1_1":290},282,"a5f6d843430cad0a16b482ff2af0b572","2024-05-06","#LLM","d6a47c2a2090e312d5e9e4b72dacd6a6","article_res/cover/4304f05e18370e325f7d631312fa48cb.jpeg","article_res/cover/11296753665fe431cbf89b8dddf6e27e.jpeg",{"id":292,"title_md5":293,"publish_date":294,"author_md5":262,"is_original":4,"collection":295,"summary_md5":296,"cover_url":297,"cover_url_1_1":298},277,"3285acb478ecac410933c961a6fc84de","2024-05-12","#AI Index Report 2024 #Prompt Engineering #LLM","3ccba71c82af6187809edfcb1512a1a5","article_res/cover/6d277afc80e2551d0294bc3c6995b66a.jpeg","article_res/cover/c1ab171a5b7ca16284ee49b73ae116d2.jpeg",{"id":300,"title_md5":301,"publish_date":302,"author_md5":262,"is_original":4,"collection":5,"summary_md5":303,"cover_url":304,"cover_url_1_1":305},378,"ceaff6047cc5a26e5f5c5d66c1c19fe6","2023-11-27","eaa886461c7fc12f94420857876d4a73","article_res/cover/a6e956c7192e834c23b9791f362717b6.jpeg","article_res/cover/fb444ef951eb25829e83c372cb080eb2.jpeg",{"id":307,"title_md5":308,"publish_date":309,"author_md5":262,"is_original":23,"collection":310,"summary_md5":311,"cover_url":312,"cover_url_1_1":313},213,"57108a1562be4ac13caa0a6ba6d8182a","2024-07-22","#AI Avatar","d4316691cd09b681dca3192ed44d6d03","article_res/cover/2d2bca4edde06eec3d7208e1d73355ca.jpeg","article_res/cover/453434f4f2d1f4ef2fe91456155aba6c.jpeg",{"id":315,"title_md5":316,"publish_date":317,"author_md5":262,"is_original":23,"collection":318,"summary_md5":319,"cover_url":320,"cover_url_1_1":321},238,"558031e185ece4d0e6effb0a6ca7e581","2024-06-22","#AI Grant","19dc2e7f2242cd30fda97464b04ca509","article_res/cover/b479c76fc33b7a88b32af06d0bf0309e.jpeg","article_res/cover/6b69ebf7ee8923f68b837ce2b69fe7ab.jpeg",{"related":323,"small":358},[324,332,339,342,350],{"id":325,"publish_date":326,"is_original":23,"collection":327,"cover_url":328,"cover_url_1_1":329,"title":330,"summary":331,"author":28},285,"2024-05-03","#AI Audio Generator","article_res/cover/acabcbfbac5bad017a8e428b7ce6260e.jpeg","article_res/cover/39694e3fa3eb048a63d2b0a47fd774eb.jpeg","Stable Audio 2.0 audio generation - hum a melody to let AI generate music","This model enables high-quality, full tracks with coherent musical structure up to three minutes long at 44.1 kHz stereo",{"id":333,"publish_date":334,"is_original":23,"collection":5,"cover_url":335,"cover_url_1_1":336,"title":337,"summary":338,"author":28},426,"2023-07-28","article_res/cover/1ba11358b68761ea3d7c37dbb86576e8.jpeg","article_res/cover/0375826a09fd51e3d48257e1e17d105b.jpeg","ChatLongDoc reads multiple documents or web pages","This project surpasses the length constraints of using OpenAI Chat-LLMs, enabling you to converse with any long document",{"id":276,"publish_date":278,"is_original":23,"collection":279,"cover_url":281,"cover_url_1_1":282,"title":340,"summary":341,"author":28},"3D Human Generation","StructLDM, a diffusion-based unconditional 3D human generative model, which is learned from 2D images.",{"id":343,"publish_date":344,"is_original":23,"collection":345,"cover_url":346,"cover_url_1_1":347,"title":348,"summary":349,"author":28},268,"2024-05-22","#Nvidia","article_res/cover/f96e8365e07e890295370d80e126ee05.jpeg","article_res/cover/316508c41a622a55b7606b34abf21085.jpeg","Sequoia Capital's Opening Remarks for AI Ascent 2024","The landscape is wide open. The opportunity set is massive",{"id":351,"publish_date":352,"is_original":4,"collection":5,"cover_url":353,"cover_url_1_1":354,"title":355,"summary":356,"author":357},603,"2022-03-14","article_res/cover/fc952f7551bc0bca96e637c2f15557a4.jpeg","article_res/cover/8b46b12fe2f1e894215fe1677d50351b.jpeg","How to evaluate investments - Future Value and Present Value","Remember that stock prices are not about the past. 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