[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"nav-categories":3,"article-ai-turns-scientists-into-paper-factories-productivity-soars-but-discovery-flattens":70},{"data":4},[5,37,57,64],{"name":6,"slug":7,"categories":8},"Productivity","productivity",[9,13,17,21,25,29,33],{"id":10,"title":11,"slug":12},17,"Branding","branding",{"id":14,"title":15,"slug":16},19,"Marketing","marketing",{"id":18,"title":19,"slug":20},20,"Work","work",{"id":22,"title":23,"slug":24},34,"Community","community",{"id":26,"title":27,"slug":28},21,"For newbies","for-newbies",{"id":30,"title":31,"slug":32},24,"Investment","investment",{"id":34,"title":35,"slug":36},22,"Finance","finance",{"name":38,"slug":39,"categories":40},"Tech","tech",[41,45,49,53],{"id":42,"title":43,"slug":44},28,"Technology","technology",{"id":46,"title":47,"slug":48},32,"Artificial Intelligence","artificial-intelligence",{"id":50,"title":51,"slug":52},26,"Security and protection","security-and-protection",{"id":54,"title":55,"slug":56},31,"YouTube Blog","youtube-blog",{"name":58,"slug":59,"categories":60},"News","news",[61],{"id":62,"title":58,"slug":63},18,"quasanews",{"name":65,"slug":66,"categories":67},"Business","business",[68],{"id":69,"title":65,"slug":66},16,{"post":71,"published_news":95,"popular_news":161,"categories":232},{"title":72,"description":73,"meta_title":72,"meta_description":74,"meta_keywords":75,"text":76,"slug":77,"created_at":78,"publish_at":79,"formatted_created_at":80,"category_id":46,"links":81,"view_type":86,"video_url":87,"views":88,"likes":89,"lang":90,"comments_count":89,"category":91},"AI Turns Scientists into \"Paper Factories\": Productivity Soars, But Discovery Flattens","A groundbreaking analysis of over 41 million scientific papers has revealed a stark paradox in the age of artificial intelligence: AI tools are dramatically accelerating individual researchers' careers—boosting publication rates, citations, and promotions—while simultaneously narrowing the scope of scientific inquiry as a whole.","Scientists are publishing more than ever, but the frontier of knowledge may be shrinking, with research clustering around familiar,","The researchers used natural language processing to identify roughly 311,000 papers that incorporated AI techniques","\u003Cp>A groundbreaking analysis of over 41 million scientific papers has revealed a stark paradox in the age of artificial intelligence: \u003Ca href=\"https://quasa.io/media/ai-and-children-the-market-is-massive\">AI tools\u003C/a> are dramatically accelerating individual researchers' careers — boosting publication rates, citations, and promotions — while simultaneously narrowing the scope of scientific inquiry as a whole.\u003C/p>\n\n\u003Cp>The result? Scientists are publishing more than ever, but the frontier of knowledge may be shrinking, with research clustering around familiar, data-rich problems rather than venturing into bold, uncharted territory.\u003C/p>\n\n\u003Cp>\u003Cpicture class=\"image-align-left\">\u003Csource srcset=\"https://cdn.quasa.io/photos/00/image-2026-01-27t220141637.webp\" type=\"image/webp\">\u003Cimg alt=\"AI Turns Scientists into "Paper Factories": Productivity Soars, But Discovery Flattens\" class=\"image-align-left\" height=\"169\" src=\"https://cdn.quasa.io/photos/00/image-2026-01-27t220141637.jpg\" width=\"300\" />\u003C/picture>Published in \u003Cstrong>Nature\u003C/strong> (\u003Ca href=\"https://www.nature.com/articles/d41586-025-04092-3\">DOI: 10.1038/s41586-025-09922-y\u003C/a>) and covered in IEEE Spectrum on January 19, 2026, the study — led by University of Chicago sociologist James Evans and collaborators from the Beijing National Research Center for Information Science and Technology — examined papers from 1980 to 2025 across six natural science disciplines: biology, chemistry, physics, medicine, materials science, and geology.\u003C/p>\n\n\u003Cp>The researchers used natural language processing to identify roughly 311,000 papers that incorporated AI techniques (from early machine learning to modern neural networks and large language models), then traced individual scientists' careers, citation patterns, and the intellectual "footprint" of their work.\u003C/p>\n\n\u003Chr />\n\u003Ch4>\u003Cstrong>The Upside: A Massive Boost for Individual Careers\u003C/strong>\u003C/h4>\n\n\u003Cp>\u003Cstrong>The numbers are striking:\u003C/strong>\u003C/p>\n\n\u003Cul>\n\t\u003Cli>\u003Cstrong>Publication Volume\u003C/strong> — Scientists who adopt AI tools publish \u003Cstrong>three times\u003C/strong> as many papers on average compared to their non-AI-using peers.\u003C/li>\n\t\u003Cli>\u003Cstrong>Citation Impact\u003C/strong> — AI-augmented research receives \u003Cstrong>nearly five times\u003C/strong> more citations.\u003C/li>\n\t\u003Cli>\u003Cstrong>Career Acceleration\u003C/strong> — AI adopters reach team leadership roles \u003Cstrong>1–2 years earlier\u003C/strong> than colleagues who avoid AI.\u003C/li>\n\u003C/ul>\n\n\u003Cp>\u003Cstrong>These gains are consistent across eras of AI development and reflect how tools automate tedious but high-value task\u003C/strong>s: data analysis, image classification, protein structure prediction, literature synthesis, hypothesis refinement, and even manuscript polishing. For researchers — especially those facing language barriers or resource constraints — AI acts as a powerful accelerator, turning months of work into weeks and amplifying visibility in a hyper-competitive academic environment.\u003C/p>\n\n\u003Cp>As Evans notes, “AI is supercharging individual scientists.” The incentives align perfectly: more papers mean more grants, promotions, and prestige in a system where publication metrics remain king.\u003C/p>\n\n\u003Chr />\n\u003Ch4>\u003Cstrong>The Downside: Flattening the Landscape of Discovery\u003C/strong>\u003C/h4>\n\n\u003Cp>Yet the same forces driving personal success appear to constrain collective progress.\u003C/p>\n\n\u003Cp>\u003Cstrong>\u003Cpicture class=\"image-align-right\">\u003Csource srcset=\"https://cdn.quasa.io/photos/00/image-2026-01-27t220142529.webp\" type=\"image/webp\">\u003Cimg alt=\"AI Turns Scientists into "Paper Factories": Productivity Soars, But Discovery Flattens\" class=\"image-align-right\" height=\"169\" src=\"https://cdn.quasa.io/photos/00/image-2026-01-27t220142529.jpg\" width=\"300\" />\u003C/picture>The study mapped papers into a high-dimensional "knowledge space" and found that AI-heavy research:\u003C/strong>\u003C/p>\n\n\u003Cul>\n\t\u003Cli>Covers \u003Cstrong>4.6% less topical ground\u003C/strong> than conventional studies.\u003C/li>\n\t\u003Cli>Clusters more tightly around popular, data-rich problems (e.g., areas with massive datasets amenable to machine learning).\u003C/li>\n\t\u003Cli>Generates \u003Cstrong>weaker networks of follow-on research \u003C/strong>— fewer new branches, continuations, or paradigm-shifting extensions.\u003C/li>\n\u003C/ul>\n\n\u003Cp>Over time, as AI capabilities advanced from basic ML to generative models, this narrowing intensified. Researchers gravitate toward questions that AI can solve quickly and scalably, creating a feedback loop: popular problems attract big datasets, big datasets favor AI methods, AI successes draw more researchers to the same areas, and the cycle reinforces conformity.\u003C/p>\n\n\u003Cp>The result is a "high-speed version" of idea narrowing—science becomes more productive but less exploratory. As Catherine Shea, a social psychologist at Carnegie Mellon, observed in IEEE Spectrum: “Certain types of questions are more amenable to AI tools… and researchers naturally gravitate toward the problems that are easiest for these tools to crank through and turn into publishable results.”\u003C/p>\n\n\u003Cp>Evans himself, an self-described "AI optimist," frames the tension clearly: “You have this conflict between individual incentives and science as a whole.”\u003C/p>\n\n\u003Chr />\n\u003Ch4>\u003Cstrong>The Core Paradox: Speed vs. Surprise\u003C/strong>\u003C/h4>\n\n\u003Cp>AI excels at optimizing well-defined, tractable problems—exactly the kind that yield fast, citable results. But breakthroughs often come from messy, data-scarce domains or risky questions that defy easy automation. By rewarding speed and scale over surprise and breadth, AI tools risk turning science into a more efficient version of the status quo rather than a genuine engine of novelty.\u003C/p>\n\n\u003Cp>The study highlights that current AI applications remain fragmented—siloed tools for data crunching, computation, or writing—limiting their ability to spark truly transformative leaps. Future holistic systems might change that, but today the dominant effect is acceleration within existing lanes rather than expansion into new ones.\u003C/p>\n\n\u003Cp>\u003Cstrong>\u003Cpicture class=\"image-align-left\">\u003Csource srcset=\"https://cdn.quasa.io/photos/00/image-2026-01-27t220300650.webp\" type=\"image/webp\">\u003Cimg alt=\"AI Turns Scientists into "Paper Factories": Productivity Soars, But Discovery Flattens\" class=\"image-align-left\" height=\"169\" src=\"https://cdn.quasa.io/photos/00/image-2026-01-27t220300650.jpg\" width=\"300\" />\u003C/picture>Also read:\u003C/strong>\u003C/p>\n\n\u003Cul>\n\t\u003Cli>\u003Ca href=\"https://quasa.io/media/nvidia-s-ai-training-scandal-emails-reveal-pursuit-of-pirated-books-amid-copyright-lawsuit\">Nvidia's AI Training Scandal: Emails Reveal Pursuit of Pirated Books Amid Copyright Lawsuit\u003C/a>\u003C/li>\n\t\u003Cli>\u003Ca href=\"https://quasa.io/media/suno-unleashes-mashup-blend-any-two-songs-into-wild-new-hybrids-with-lyric-music-morphing\">Suno Unleashes Mashup: Blend Any Two Songs into Wild New Hybrids with Lyric & Music Morphing\u003C/a>\u003C/li>\n\t\u003Cli>\u003Ca href=\"https://quasa.io/media/copying-the-uncopyable-waterloo-scientists-unlock-quantum-data-backups\">Copying the Uncopyable: Waterloo Scientists Unlock Quantum Data Backups\u003C/a>\u003C/li>\n\u003C/ul>\n\n\u003Chr />\n\u003Ch4>\u003Cstrong>Looking Ahead: Incentives Matter\u003C/strong>\u003C/h4>\n\n\u003Cp>Evans and co-authors emphasize that this flattening is not inevitable. The issue lies not in AI's architecture but in the incentive structures of academia—publish-or-perish pressures that prioritize volume and citations over originality. Reforming funding, evaluation, and rewards to value unexplored questions and risky bets could harness AI's power to broaden, rather than shrink, the scientific frontier.\u003C/p>\n\n\u003Cp>As Evans puts it: “We haven’t fundamentally invested in the real value proposition of AI for science, which is asking what it might allow us to do that we haven’t done before.”\u003C/p>\n\n\u003Cp>In short, AI is turning scientists into highly efficient "paper factories" — productive, visible, and fast-tracked. But at what cost to curiosity, diversity of thought, and the rare, paradigm-shifting discoveries that truly advance human knowledge? The trade-off is real, and the scientific community must reckon with it before the flattening becomes permanent.\u003C/p>","ai-turns-scientists-into-paper-factories-productivity-soars-but-discovery-flattens","2026-01-27T21:04:42.000000Z","2026-02-03T09:54:00.000000Z","03.02.2026",{"image":82,"image_webp":83,"thumb":84,"thumb_webp":85},"https://cdn.quasa.io/images/news/Vx2BilGuKUzGaSPcIjSU7XBbIh6N3sXsa7A12Tve.jpg","https://cdn.quasa.io/images/news/Vx2BilGuKUzGaSPcIjSU7XBbIh6N3sXsa7A12Tve.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/Vx2BilGuKUzGaSPcIjSU7XBbIh6N3sXsa7A12Tve.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/Vx2BilGuKUzGaSPcIjSU7XBbIh6N3sXsa7A12Tve.webp","small",null,812,0,"en",{"id":46,"title":47,"slug":48,"meta_title":47,"meta_description":92,"meta_keywords":92,"deleted_at":87,"created_at":93,"updated_at":94,"lang":90},"Artificial Intelligence, ai, ml, machine learning, chatgpt, future","2024-09-22T08:08:27.000000Z","2024-09-23T12:49:38.000000Z",[96,111,123,136,148],{"title":97,"description":98,"slug":99,"created_at":100,"publish_at":101,"formatted_created_at":102,"category":103,"links":104,"view_type":86,"video_url":87,"views":109,"likes":89,"lang":90,"comments_count":89,"is_pinned":110},"Anthropic Hits $30B ARR — Superforecaster Peter Wildeford Now Sees OpenAI + Anthropic Combined Run Rate at $240B by End of 2026","The AI revenue rocket ship just got a new thrust level.This week Anthropic announced it has crossed a $30 billion annualized revenue run rate — more than tripling from roughly $9 billion at the end of 2025.","anthropic-hits-30b-arr-superforecaster-peter-wildeford-now-sees-openai-anthropic-combined-run-rate-at-240b-by-end-of-2026","2026-04-17T17:42:21.000000Z","2026-04-21T06:33:00.000000Z","21.04.2026",{"title":35,"slug":36},{"image":105,"image_webp":106,"thumb":107,"thumb_webp":108},"https://cdn.quasa.io/images/news/Nb3l8oxamaQ5AXpER58hkLvUybJKVHiuW8FxH1Wp.jpg","https://cdn.quasa.io/images/news/Nb3l8oxamaQ5AXpER58hkLvUybJKVHiuW8FxH1Wp.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/Nb3l8oxamaQ5AXpER58hkLvUybJKVHiuW8FxH1Wp.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/Nb3l8oxamaQ5AXpER58hkLvUybJKVHiuW8FxH1Wp.webp",13,false,{"title":112,"description":113,"slug":114,"created_at":115,"publish_at":116,"formatted_created_at":102,"category":117,"links":118,"view_type":86,"video_url":87,"views":46,"likes":89,"lang":90,"comments_count":89,"is_pinned":110},"AI Gets $100k, a 3-Year Lease in San Francisco, and One Simple Instruction: “Make Profit” — It Opened a Real Store and Hired Humans","Andon Labs just ran one of the most audacious real-world AI experiments yet.","ai-gets-100k-a-3-year-lease-in-san-francisco-and-one-simple-instruction-make-profit-it-opened-a-real-store-and-hired-humans","2026-04-17T17:25:03.000000Z","2026-04-21T03:15:00.000000Z",{"title":19,"slug":20},{"image":119,"image_webp":120,"thumb":121,"thumb_webp":122},"https://cdn.quasa.io/images/news/YuKTmq4MmTZ32xLs273lXrR1C1Crj21v8WarjChS.jpg","https://cdn.quasa.io/images/news/YuKTmq4MmTZ32xLs273lXrR1C1Crj21v8WarjChS.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/YuKTmq4MmTZ32xLs273lXrR1C1Crj21v8WarjChS.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/YuKTmq4MmTZ32xLs273lXrR1C1Crj21v8WarjChS.webp",{"title":124,"description":125,"slug":126,"created_at":127,"publish_at":127,"formatted_created_at":128,"category":129,"links":130,"view_type":86,"video_url":87,"views":135,"likes":89,"lang":90,"comments_count":89,"is_pinned":110},"Claude Design Looks Great — But It Devours Your Token Limits. Here’s How to Use It Smartly","Here's a well-structured, engaging English article based on the thread by Ryan Mather (@Flomerboy\n) from the Anthropic design team. It covers the fresh launch of Claude Design, its strengths, the main pain point (high token usage during initial setup), and the practical tips from the developers.","claude-design-looks-great-but-it-devours-your-token-limits-here-s-how-to-use-it-smartly","2026-04-20T19:33:38.000000Z","20.04.2026",{"title":47,"slug":48},{"image":131,"image_webp":132,"thumb":133,"thumb_webp":134},"https://cdn.quasa.io/images/news/MWAqWKyMuj9LRYzXpAOSU6ohIA3IRlA3RoiqdHw2.jpg","https://cdn.quasa.io/images/news/MWAqWKyMuj9LRYzXpAOSU6ohIA3IRlA3RoiqdHw2.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/MWAqWKyMuj9LRYzXpAOSU6ohIA3IRlA3RoiqdHw2.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/MWAqWKyMuj9LRYzXpAOSU6ohIA3IRlA3RoiqdHw2.webp",74,{"title":137,"description":138,"slug":139,"created_at":140,"publish_at":140,"formatted_created_at":128,"category":141,"links":142,"view_type":86,"video_url":87,"views":147,"likes":89,"lang":90,"comments_count":89,"is_pinned":110},"NVIDIA Lyra 2.0 Solves Spatial Forgetting and Temporal Drift in Generative Video","NVIDIA has unveiled Lyra 2.0, a new framework that generates persistent, explorable 3D worlds from a single image.","nvidia-lyra-2-0-solves-spatial-forgetting-and-temporal-drift-in-generative-video","2026-04-20T19:05:53.000000Z",{"title":47,"slug":48},{"image":143,"image_webp":144,"thumb":145,"thumb_webp":146},"https://cdn.quasa.io/images/news/Za28inhjfgkp2cMS3eCUHAQ3UP8dJncCvITAKe0G.jpg","https://cdn.quasa.io/images/news/Za28inhjfgkp2cMS3eCUHAQ3UP8dJncCvITAKe0G.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/Za28inhjfgkp2cMS3eCUHAQ3UP8dJncCvITAKe0G.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/Za28inhjfgkp2cMS3eCUHAQ3UP8dJncCvITAKe0G.webp",75,{"title":149,"description":150,"slug":151,"created_at":152,"publish_at":153,"formatted_created_at":128,"category":154,"links":155,"view_type":86,"video_url":87,"views":160,"likes":89,"lang":90,"comments_count":89,"is_pinned":110},"GitHub’s AI Agent Tsunami: 275 Million Commits a Week, 14 Billion Projected for 2026 — And the Platform Is Starting to Crack","GitHub just hit numbers that would have sounded like science fiction twelve months ago.","github-s-ai-agent-tsunami-275-million-commits-a-week-14-billion-projected-for-2026-and-the-platform-is-starting-to-crack","2026-04-17T17:10:50.000000Z","2026-04-20T11:57:00.000000Z",{"title":58,"slug":63},{"image":156,"image_webp":157,"thumb":158,"thumb_webp":159},"https://cdn.quasa.io/images/news/XZTYmDGdaBEeRqB4Fv56AeOVoRtMa9PgoABzA3uj.jpg","https://cdn.quasa.io/images/news/XZTYmDGdaBEeRqB4Fv56AeOVoRtMa9PgoABzA3uj.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/XZTYmDGdaBEeRqB4Fv56AeOVoRtMa9PgoABzA3uj.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/XZTYmDGdaBEeRqB4Fv56AeOVoRtMa9PgoABzA3uj.webp",117,[162,175,191,203,218],{"title":163,"description":164,"slug":165,"created_at":166,"publish_at":167,"formatted_created_at":168,"category":169,"links":170,"view_type":86,"video_url":87,"views":173,"likes":174,"lang":90,"comments_count":89,"is_pinned":110},"The Anatomy of an Entrepreneur","Entrepreneur is a French word that means an enterpriser. Enterprisers are people who undertake a business or enterprise with the chance of earning profits or suffering from loss.","the-anatomy-of-an-entrepreneur","2021-08-04T15:18:21.000000Z","2025-12-14T06:09:00.000000Z","14.12.2025",{"title":65,"slug":66},{"image":171,"image_webp":87,"thumb":172,"thumb_webp":172},"https://cdn.quasa.io/images/news/mVsXPTMuHZuI7UXCsENgL1Qwp1uSOf7Rz3uVPMfm.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/mVsXPTMuHZuI7UXCsENgL1Qwp1uSOf7Rz3uVPMfm.webp",71024,2,{"title":176,"description":177,"slug":178,"created_at":179,"publish_at":180,"formatted_created_at":181,"category":182,"links":183,"view_type":188,"video_url":87,"views":189,"likes":190,"lang":90,"comments_count":89,"is_pinned":110},"Advertising on QUASA","QUASA MEDIA is read by more than 400 thousand people a month. We offer to place your article, add a link or order the writing of an article for publication.","advertising-on-quasa","2022-07-06T07:33:02.000000Z","2025-12-15T17:33:02.000000Z","15.12.2025",{"title":58,"slug":63},{"image":184,"image_webp":185,"thumb":186,"thumb_webp":187},"https://cdn.quasa.io/images/news/45SvmdsTQbiyc3nxgbyHY1mpVbisYyub2BCHjqBL.jpg","https://cdn.quasa.io/images/news/45SvmdsTQbiyc3nxgbyHY1mpVbisYyub2BCHjqBL.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/45SvmdsTQbiyc3nxgbyHY1mpVbisYyub2BCHjqBL.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/45SvmdsTQbiyc3nxgbyHY1mpVbisYyub2BCHjqBL.webp","large",70792,4,{"title":192,"description":193,"slug":194,"created_at":195,"publish_at":196,"formatted_created_at":197,"category":198,"links":199,"view_type":86,"video_url":87,"views":202,"likes":190,"lang":90,"comments_count":89,"is_pinned":110},"What is a Startup?","A startup is not a new company, not a tech company, nor a new tech company. You can be a new tech company, if your goal is not to grow high and fast; then, you are not a startup. ","what-is-a-startup","2021-08-04T12:05:17.000000Z","2025-12-17T13:02:00.000000Z","17.12.2025",{"title":65,"slug":66},{"image":200,"image_webp":87,"thumb":201,"thumb_webp":201},"https://cdn.quasa.io/images/news/EOsQhSW3VXyG7a6NPdE1oZd00xfJXe3bjY5aJGb7.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/EOsQhSW3VXyG7a6NPdE1oZd00xfJXe3bjY5aJGb7.webp",68417,{"title":204,"description":205,"slug":206,"created_at":207,"publish_at":208,"formatted_created_at":209,"category":210,"links":211,"view_type":86,"video_url":87,"views":216,"likes":174,"lang":90,"comments_count":217,"is_pinned":110},"Top 5 Tips to Make More Money as a Content Creator","Content creators are one of the most desired job titles right now. Who wouldn’t want to earn a living online?","top-5-tips-to-make-more-money-as-a-content-creator","2022-01-17T17:31:51.000000Z","2026-01-17T11:30:00.000000Z","17.01.2026",{"title":19,"slug":20},{"image":212,"image_webp":213,"thumb":214,"thumb_webp":215},"https://cdn.quasa.io/images/news/gP8kiumBPpJmQv6SMieXiX1tDetx43VwFfO1P4Ca.jpg","https://cdn.quasa.io/images/news/gP8kiumBPpJmQv6SMieXiX1tDetx43VwFfO1P4Ca.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/gP8kiumBPpJmQv6SMieXiX1tDetx43VwFfO1P4Ca.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/gP8kiumBPpJmQv6SMieXiX1tDetx43VwFfO1P4Ca.webp",42381,1,{"title":219,"description":220,"slug":221,"created_at":222,"publish_at":223,"formatted_created_at":224,"category":225,"links":226,"view_type":188,"video_url":87,"views":231,"likes":174,"lang":90,"comments_count":89,"is_pinned":110},"8 Logo Design Tips for Small Businesses","Your logo tells the story of your business and the values you stand for.","8-logo-design-tips-for-small-businesses","2021-12-04T21:59:52.000000Z","2025-05-05T03:30:00.000000Z","05.05.2025",{"title":15,"slug":16},{"image":227,"image_webp":228,"thumb":229,"thumb_webp":230},"https://cdn.quasa.io/images/news/Wbx2NtS1CnTupgoQbpFMGspJ5jm4uob2hDOq33r0.jpg","https://cdn.quasa.io/images/news/Wbx2NtS1CnTupgoQbpFMGspJ5jm4uob2hDOq33r0.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/Wbx2NtS1CnTupgoQbpFMGspJ5jm4uob2hDOq33r0.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/Wbx2NtS1CnTupgoQbpFMGspJ5jm4uob2hDOq33r0.webp",41469,[233,234,235,236,237,238,239,240,241,242,243,244,245],{"title":23,"slug":24},{"title":47,"slug":48},{"title":55,"slug":56},{"title":43,"slug":44},{"title":51,"slug":52},{"title":31,"slug":32},{"title":35,"slug":36},{"title":27,"slug":28},{"title":19,"slug":20},{"title":15,"slug":16},{"title":58,"slug":63},{"title":11,"slug":12},{"title":65,"slug":66}]