[{"data":1,"prerenderedAt":377},["ShallowReactive",2],{"$fgukOamtKU1RtUiMFsqdObttmqPPQz0uc7bl_gj_LyX0":3,"$fcEyLzTfgLDwi920reQtWxZQGig9GMBx2mSRDSZ5cbxU":245,"article-261":376},{"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":23,"collection":249,"articles_id":250,"cover_url":251,"cover_url_1_1":252,"title":253,"summary":254,"author":28,"content":255,"popular":256,"list":319,"category":374,"tag":375},261,"2024-05-29","#Google #AI Image Generator #Imagen3","MthI7M8Sw1BMhESrmBnmSw","article_res/cover/cc95acce5cb0c44580faccc52ea8b12e.jpeg","article_res/cover/0639dc3781fc16943dac3800448ae51c.jpeg","Imagen 3 - Google's highest quality text-to-image model","Google's highest quality text-to-image model","\u003Cdiv class=\"rich_media_content js_underline_content\n                       autoTypeSetting24psection\n            \" id=\"js_content\">\u003Cp data-tool=\"mdnice编辑器\" style='margin-bottom: 0px;padding-top: 8px;padding-bottom: 8px;color: black;font-family: Optima-Regular, Optima, PingFangSC-light, PingFangTC-light, \"PingFang SC\", Cambria, Cochin, Georgia, Times, \"Times New Roman\", serif;font-size: 16px;letter-spacing: normal;text-align: left;text-wrap: wrap;line-height: 26px;'>was released.\u003C/p>\u003Ch2 data-tool=\"mdnice编辑器\" style='margin-top: 30px;margin-bottom: 15px;font-weight: bold;font-size: 22px;color: black;font-family: Optima-Regular, Optima, PingFangSC-light, PingFangTC-light, \"PingFang SC\", Cambria, Cochin, Georgia, Times, \"Times New Roman\", serif;letter-spacing: normal;text-align: left;text-wrap: wrap;'>new updates\u003C/h2>\u003Ch3 data-tool=\"mdnice编辑器\" style='margin-top: 30px;margin-bottom: 15px;font-weight: bold;font-size: 20px;color: black;font-family: Optima-Regular, Optima, PingFangSC-light, PingFangTC-light, \"PingFang SC\", Cambria, Cochin, Georgia, Times, \"Times New Roman\", serif;letter-spacing: normal;text-align: left;text-wrap: wrap;'>greater diversity and prompt understanding\u003C/h3>\u003Cp data-tool=\"mdnice编辑器\" style='margin-bottom: 0px;padding-top: 8px;padding-bottom: 8px;color: black;font-family: Optima-Regular, Optima, PingFangSC-light, PingFangTC-light, \"PingFang SC\", Cambria, Cochin, Georgia, Times, \"Times New Roman\", serif;font-size: 16px;letter-spacing: normal;text-align: left;text-wrap: wrap;line-height: 26px;'>Google designed Imagen 3 to generate high-quality images across a wide range of formats and styles, from realistic landscapes to richly textured oil paintings or fantastical claymation scenes. Imagen 3 can also understand prompts written in natural, everyday language, allowing users to obtain the desired output without needing complex prompt engineering.\u003C/p>\u003Cp data-tool=\"mdnice编辑器\" style='margin-bottom: 0px;padding-top: 8px;padding-bottom: 8px;color: black;font-family: Optima-Regular, Optima, PingFangSC-light, PingFangTC-light, \"PingFang SC\", Cambria, Cochin, Georgia, Times, \"Times New Roman\", serif;font-size: 16px;letter-spacing: normal;text-align: left;text-wrap: wrap;line-height: 26px;'>To help Imagen 3 capture specific nuances such as camera angles or compositions in long and complex prompts, Google added richer details to the captions of every image in its training data. With better information sources, Imagen 3 can more accurately generate images across various subjects and styles.\u003C/p>\u003Cblockquote data-tool=\"mdnice编辑器\" style='margin-top: 20px;margin-bottom: 20px;padding: 10px 10px 10px 20px;border-left-color: rgba(0, 0, 0, 0.4);color: rgb(106, 115, 125);font-size: 0.9em;font-family: Optima-Regular, Optima, PingFangSC-light, PingFangTC-light, \"PingFang SC\", Cambria, Cochin, Georgia, Times, \"Times New Roman\", serif;letter-spacing: normal;text-align: left;text-wrap: wrap;border-top: none;border-right: none;border-bottom: none;overflow: auto;background: rgba(0, 0, 0, 0.05);'>\u003Cp style=\"padding-top: 8px;padding-bottom: 8px;font-size: 16px;color: black;line-height: 26px;\">\u003Cstrong>Prompt:\u003C/strong> Shot in the style of DSLR camera with the polarizing filter. A photo of two hot air balloons floating over the unique rock formations in Cappadocia, Turkey. The colors and patterns on these balloons contrast beautifully against the earthy tones of the landscape below. This shot captures the sense of adventure that comes with enjoying such an experience.\u003C/p>\u003C/blockquote>\u003Cp style=\"text-align: center;\">\u003Cimg class=\"rich_pages wxw-img js_insertlocalimg\" data-imgfileid=\"100004870\" data-ratio=\"0.5453703703703704\" data-s=\"300,640\" data-type=\"webp\" data-w=\"1080\" style=\"\" src=\"./assets/17423805150480.11030244212664675.jpeg\">\u003C/p>\u003Ch3 data-tool=\"mdnice编辑器\" style='margin-top: 30px;margin-bottom: 15px;font-weight: bold;font-size: 20px;color: black;font-family: Optima-Regular, Optima, PingFangSC-light, PingFangTC-light, \"PingFang SC\", Cambria, Cochin, Georgia, Times, \"Times New Roman\", serif;letter-spacing: normal;text-align: left;text-wrap: wrap;'>higher quality images\u003C/h3>\u003Cp data-tool=\"mdnice编辑器\" style='margin-bottom: 0px;padding-top: 8px;padding-bottom: 8px;color: black;font-family: Optima-Regular, Optima, PingFangSC-light, PingFangTC-light, \"PingFang SC\", Cambria, Cochin, Georgia, Times, \"Times New Roman\", serif;font-size: 16px;letter-spacing: normal;text-align: left;text-wrap: wrap;line-height: 26px;'>The images generated by Imagen 3 are visually rich, high-quality, with good lighting and composition. It can accurately render details such as fine wrinkles on a person's hand and complex textures like the texture of a knitted toy elephant.\u003C/p>\u003Cblockquote data-tool=\"mdnice编辑器\" style='margin-top: 20px;margin-bottom: 20px;padding: 10px 10px 10px 20px;border-left-color: rgba(0, 0, 0, 0.4);color: rgb(106, 115, 125);font-size: 0.9em;font-family: Optima-Regular, Optima, PingFangSC-light, PingFangTC-light, \"PingFang SC\", Cambria, Cochin, Georgia, Times, \"Times New Roman\", serif;letter-spacing: normal;text-align: left;text-wrap: wrap;border-top: none;border-right: none;border-bottom: none;overflow: auto;background: rgba(0, 0, 0, 0.05);'>\u003Cp style=\"padding-top: 8px;padding-bottom: 8px;font-size: 16px;color: black;line-height: 26px;\">\u003Cstrong>Prompt:\u003C/strong> A large, colorful bouquet of flowers in an old blue glass vase on the table. In front is one beautiful peony flower surrounded by various other blossoms like roses, lilies, daisies, orchids, fruits, berries, green leaves. The background is dark gray. Oil painting in the style of the Dutch Golden Age.\u003C/p>\u003C/blockquote>\u003Cp style=\"text-align: center;\">\u003Cimg class=\"rich_pages wxw-img js_insertlocalimg\" data-imgfileid=\"100004869\" data-ratio=\"0.5453703703703704\" data-s=\"300,640\" data-type=\"webp\" data-w=\"1080\" style=\"\" src=\"./assets/17423805150490.8481683038695151.jpeg\">\u003C/p>\u003Ch3 data-tool=\"mdnice编辑器\" style='margin-top: 30px;margin-bottom: 15px;font-weight: bold;font-size: 20px;color: black;font-family: Optima-Regular, Optima, PingFangSC-light, PingFangTC-light, \"PingFang SC\", Cambria, Cochin, Georgia, Times, \"Times New Roman\", serif;letter-spacing: normal;text-align: left;text-wrap: wrap;'>better text rendering\u003C/h3>\u003Cp data-tool=\"mdnice编辑器\" style='margin-bottom: 0px;padding-top: 8px;padding-bottom: 8px;color: black;font-family: Optima-Regular, Optima, PingFangSC-light, PingFangTC-light, \"PingFang SC\", Cambria, Cochin, Georgia, Times, \"Times New Roman\", serif;font-size: 16px;letter-spacing: normal;text-align: left;text-wrap: wrap;line-height: 26px;'>Google has significantly improved its text rendering capabilities, opening up new possibilities for use cases such as personalized birthday cards and presentations.\u003C/p>\u003Csection data-tool=\"mdnice编辑器\" data-website=\"https://www.mdnice.com\" style='padding-right: 10px;padding-left: 10px;font-size: 16px;color: black;line-height: 1.6;letter-spacing: 0px;word-break: break-word;text-align: left;font-family: Optima-Regular, Optima, PingFangSC-light, PingFangTC-light, \"PingFang SC\", Cambria, Cochin, Georgia, Times, \"Times New Roman\", serif;'>\u003Cblockquote data-tool=\"mdnice编辑器\" style=\"margin-top: 20px;margin-bottom: 20px;padding: 10px 10px 10px 20px;border-left-color: rgba(0, 0, 0, 0.4);color: rgb(106, 115, 125);font-size: 0.9em;border-top: none;border-right: none;border-bottom: none;overflow: auto;background: rgba(0, 0, 0, 0.05);\">\u003Cp style=\"padding-top: 8px;padding-bottom: 8px;font-size: 16px;color: black;line-height: 26px;\">\u003Cstrong>Prompt:\u003C/strong> Elephant amigurumi walking in savanna, a professional photograph, blurry background\u003C/p>\u003C/blockquote>\u003C/section>\u003Cp style=\"text-align: center;\">\u003Cimg class=\"rich_pages wxw-img js_insertlocalimg\" data-imgfileid=\"100004871\" data-ratio=\"0.5453703703703704\" data-s=\"300,640\" data-type=\"webp\" data-w=\"1080\" style=\"\" src=\"./assets/17423805150500.08508835026704387.jpeg\">\u003C/p>\u003Ch2 data-tool=\"mdnice编辑器\" style='margin-top: 30px;margin-bottom: 15px;font-weight: bold;font-size: 22px;color: black;font-family: Optima-Regular, Optima, PingFangSC-light, PingFangTC-light, \"PingFang SC\", Cambria, Cochin, Georgia, Times, \"Times New Roman\", serif;letter-spacing: normal;text-align: left;text-wrap: wrap;'>built and deployed using the latest safety and responsibility innovations\u003C/h2>\u003Cp data-tool=\"mdnice编辑器\" style='margin-bottom: 0px;padding-top: 8px;padding-bottom: 8px;color: black;font-family: Optima-Regular, Optima, PingFangSC-light, PingFangTC-light, \"PingFang SC\", Cambria, Cochin, Georgia, Times, \"Times New Roman\", serif;font-size: 16px;letter-spacing: normal;text-align: left;text-wrap: wrap;line-height: 26px;'>Imagen 3 was built using Google’s latest safety and responsibility innovations, from data and model development to production. Google used extensive filtering and data labeling to minimize harmful content in the dataset and reduce the likelihood of harmful outputs. Google also conducted red team testing and evaluations covering topics such as fairness, bias, and content safety. Do you remember the black-skinned Musk?\u003C/p>\u003Cp style=\"text-align: center;\">\u003Cimg class=\"rich_pages wxw-img js_insertlocalimg\" data-imgfileid=\"100004867\" data-ratio=\"1.1083333333333334\" data-s=\"300,640\" data-type=\"jpeg\" data-w=\"1080\" style=\"\" src=\"./assets/17423805150500.037151547809930685.jpeg\">\u003C/p>\u003Cp data-tool=\"mdnice编辑器\" style='margin-bottom: 0px;padding-top: 8px;padding-bottom: 8px;color: black;font-family: Optima-Regular, Optima, PingFangSC-light, PingFangTC-light, \"PingFang SC\", Cambria, Cochin, Georgia, Times, \"Times New Roman\", serif;font-size: 16px;letter-spacing: normal;text-align: left;text-wrap: wrap;line-height: 26px;'>— which embeds digital watermarks directly into the image pixels so they can be detected but are imperceptible to the human eye.\u003C/p>\u003Cp data-tool=\"mdnice编辑器\" style='margin-bottom: 0px;padding-top: 8px;padding-bottom: 8px;color: black;font-family: Optima-Regular, Optima, PingFangSC-light, PingFangTC-light, \"PingFang SC\", Cambria, Cochin, Georgia, Times, \"Times New Roman\", serif;font-size: 16px;letter-spacing: normal;text-align: left;text-wrap: wrap;line-height: 26px;'>Ads, etc.\u003C/p>\u003Cp style=\"display: none;\">\u003Cmp-style-type data-value=\"3\">\u003C/mp-style-type>\u003C/p>\u003C/div>",[257,265,273,281,289,296,304,311],{"id":258,"title_md5":259,"publish_date":260,"author_md5":261,"is_original":4,"collection":5,"summary_md5":262,"cover_url":263,"cover_url_1_1":264},374,"e199d037d9e0a146e5477da445c9b54b","2023-12-08","bc27fa490c4d0d525bac812fc0793534","b6e7a71d163b8f71722708afdc2c943a","article_res/cover/f7c8858a8dbff747cd3955dcb59901ee.jpeg","article_res/cover/0cde3e4d28e238b5ff65eb8ea2ff6d4c.jpeg",{"id":266,"title_md5":267,"publish_date":268,"author_md5":269,"is_original":4,"collection":5,"summary_md5":270,"cover_url":271,"cover_url_1_1":272},519,"473eeb6464b833395bbb6e95ea38b175","2022-06-07","7051dc52c184c205e39aa54b4664ae9b","c9d3436a7a56ab67ccbb37ce2ad0e3b7","article_res/cover/a6e71ca7dc0b962f78e7c169ca6caf79.jpeg","article_res/cover/3c066e7f23b38b0f8e77d9b5be4911cd.jpeg",{"id":274,"title_md5":275,"publish_date":276,"author_md5":261,"is_original":23,"collection":277,"summary_md5":278,"cover_url":279,"cover_url_1_1":280},21,"34ef24ef3ab9a68e74901c2ba508b3ff","2025-03-02","#AI Agents #Magma #Microsoft #vision-language #Robot","b1a667b68e0a7fd212a917eed5d93a46","article_res/cover/525b1439ef5286ee1a11342c6cd90a77.jpeg","article_res/cover/c5fe991a13b02d9086cf781631fa97eb.jpeg",{"id":282,"title_md5":283,"publish_date":284,"author_md5":285,"is_original":4,"collection":5,"summary_md5":286,"cover_url":287,"cover_url_1_1":288},576,"a4cd758782bbfb215e196c95667364de","2022-04-10","4e8f56a623a86281345c02db3a8b2b72","fa5b6296a9c6316e0fe26972db3ccc5f","article_res/cover/ab33f7df918c9b6b0c02f57f839c1726.jpeg","article_res/cover/8ac9ee6a467d13ac8504aa7f9631a302.jpeg",{"id":290,"title_md5":291,"publish_date":292,"author_md5":261,"is_original":4,"collection":5,"summary_md5":293,"cover_url":294,"cover_url_1_1":295},427,"6c07869e76208f23ad252ca9e942b7e6","2023-07-27","54b1726c61701b4b74603dac44337bc9","article_res/cover/1dc42c888292562986f633ef2dc7fa04.jpeg","article_res/cover/05f91a6a05f6f206b2be5065343dca58.jpeg",{"id":297,"title_md5":298,"publish_date":299,"author_md5":261,"is_original":4,"collection":300,"summary_md5":301,"cover_url":302,"cover_url_1_1":303},270,"32ea6bbe9aaaa7661a244726d3069bb3","2024-05-20","#AI Agent","554eb3e287a5edf99b36a70f58c04c0a","article_res/cover/df3dfd94230da278a801bb28d27ae25b.jpeg","article_res/cover/377a030c5b17b3ad7fe9125d9b3346e6.jpeg",{"id":305,"title_md5":306,"publish_date":307,"author_md5":261,"is_original":23,"collection":146,"summary_md5":308,"cover_url":309,"cover_url_1_1":310},161,"96d258f4cd987d40c62c3715fa5e8c62","2024-10-03","17c744e6f23243682de2f75c7fb27cce","article_res/cover/689b6c4e7e3e07d5021f6aee3ea18b01.jpeg","article_res/cover/56c90fb401019d2816d918393099e4ec.jpeg",{"id":312,"title_md5":313,"publish_date":314,"author_md5":261,"is_original":4,"collection":315,"summary_md5":316,"cover_url":317,"cover_url_1_1":318},372,"84c143ff9e9c7b1bf0b55510d9181292","2023-12-13","#AI Video Generator","d978d0320265ea5aa77ae9272e9661eb","article_res/cover/0c9cb434865cab2b14886ba80fbf4689.jpeg","article_res/cover/482aa55c117b58f661eec42e1475eecc.jpeg",{"related":320,"small":359},[321,329,336,344,351],{"id":322,"publish_date":323,"is_original":4,"collection":5,"cover_url":324,"cover_url_1_1":325,"title":326,"summary":327,"author":328},586,"2022-03-31","article_res/cover/9440f266e7f9a070b31089621064de6e.jpeg","article_res/cover/c887abcd99fca69687b6173b5c635bce.jpeg","Messari Report Crypto Theses for 2022 Translation and Summary 【Frontier and Table of Contents Section】","In 7.5 years in crypto, I can tell you the only core competency that matters is surviving. Cockroaches will get rich.","Translation",{"id":330,"publish_date":331,"is_original":4,"collection":5,"cover_url":332,"cover_url_1_1":333,"title":334,"summary":335,"author":328},585,"2022-04-01","article_res/cover/8c2e262b00bc72ce5db1df6320ae8d0f.jpeg","article_res/cover/c228ee711a0876046271ba60cf3ff94e.jpeg","Messari Report Translation and Summary 【The Inevitability of the Collapse of Institutional Trust and Web3】","The internet owned by the builders and users, orchestrated with tokens",{"id":337,"publish_date":338,"is_original":4,"collection":5,"cover_url":339,"cover_url_1_1":340,"title":341,"summary":342,"author":343},433,"2023-07-16","article_res/cover/ca3482d96ae636eab811ceea3f688b18.jpeg","article_res/cover/5cc44dd7e13714ecd8e3df63140ee6b9.jpeg","The Beginning and End of Ripple's Investigation by the SEC","XRP, as a digital token, is not in and of itself a “contract, transaction[,] or scheme.”  \n-Brad Garlinghouse, CEO of Ripple","chatGPT Main Writer",{"id":345,"publish_date":346,"is_original":4,"collection":5,"cover_url":347,"cover_url_1_1":348,"title":349,"summary":350,"author":28},388,"2023-10-24","article_res/cover/feac9c4e579b78e68e57dff7a103c9bb.jpeg","article_res/cover/2ec3b5ac035c21fd5db37d4eab9ed981.jpeg","EigenLayer - Building a consensus hub on Ethereum through re-staking","We’re EigenLabs, and we're on a mission to increase openness and innovation.",{"id":352,"publish_date":353,"is_original":23,"collection":354,"cover_url":355,"cover_url_1_1":356,"title":357,"summary":358,"author":28},175,"2024-09-13","#OpenAI #o1","article_res/cover/c112aa25d608586d0da3eb7581ef8b83.jpeg","article_res/cover/3e5974b1dedaebb9b6444da3bba3ec23.jpeg","OpenAI's latest model o1 - thinks before answering, the longer it thinks, the smarter it gets","We've developed a new series of AI models designed to spend more time thinking before they respond.",[360,366,372],{"title":10,"list":361},[362,363,364,365],{"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":367},[368,369,370,371],{"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":373},[],[8,9,10],[8,12,13,14,9,10,15,16,17,18],["Reactive",245],1754646419994]