[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"nav-categories":3,"article-forging-the-future-of-discovery-how-scientific-llms-are-evolving-into-autonomous-agents":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":97,"popular_news":164,"categories":235},{"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":42,"links":81,"view_type":86,"video_url":87,"views":88,"likes":89,"lang":90,"comments_count":89,"category":91},"Forging the Future of Discovery: How Scientific LLMs Are Evolving into Autonomous Agents","A sweeping 94-page survey published in August 2025 offers the most comprehensive roadmap yet for the next generation of scientific AI. Titled A Survey of Scientific Large Language Models: From Data Foundations to Agent Frontiers, the paper analyzes 270 scientific datasets and 190 benchmarks to explain why ordinary LLMs fail at real science—and how specialized scientific LLMs (SciLLMs) are rapidly closing the gap through richer multimodal data and closed-loop autonomous agents.","A sweeping 94-page survey published in August 2025 offers the most comprehensive roadmap yet for the next generation of scientific AI.","Titled A Survey of Scientific Large Language Models: From Data Foundations to Agent Frontiers, the paper analyzes 270 scientific datasets and 190 benchmarks","\u003Cp>A sweeping 94-page survey published in August 2025 offers the most comprehensive roadmap yet for the next generation of scientific AI. Titled \u003Cstrong>A Survey of Scientific Large Language Models: From Data Foundations to Agent Frontiers\u003C/strong>, the paper analyzes 270 scientific datasets and 190 benchmarks to explain why ordinary LLMs fail at real science - and how specialized scientific LLMs (SciLLMs) are rapidly closing the gap through richer multimodal data and closed-loop autonomous agents.\u003C/p>\n\n\u003Chr />\n\u003Ch4>\u003Cstrong>Why General-Purpose LLMs Fall Short in Science\u003C/strong>\u003C/h4>\n\n\u003Cp>Science isn’t just text. It is raw spectra, noisy sensor readings, LaTeX equations, executable code, tabular data with uncertainty bounds, and microscope images - all intertwined. Standard LLMs trained mostly on internet prose simply weren’t built for this chaos. They confidently hallucinate reaction mechanisms, ignore error propagation in measurements, and treat a chemical formula as decorative ASCII rather than a computable graph.\u003C/p>\n\n\u003Cp>\u003Cstrong>The result:\u003C/strong> even flagship models like GPT-4o routinely fail PhD-level science questions and produce non-reproducible “discoveries.”\u003C/p>\n\n\u003Chr />\n\u003Ch4>\u003Cstrong>A New Foundation: Unified Taxonomy + Multi-Layer Knowledge\u003C/strong>\u003C/h4>\n\n\u003Cp>\u003Cstrong>\u003Cpicture class=\"image-align-right\">\u003Csource srcset=\"https://cdn.quasa.io/photos/00/image-2025-11-17t171827403.webp\" type=\"image/webp\">\u003Cimg alt=\"Forging the Future of Discovery: How Scientific LLMs Are Evolving into Autonomous Agents\" class=\"image-align-right\" height=\"169\" src=\"https://cdn.quasa.io/photos/00/image-2025-11-17t171827403.jpg\" width=\"300\" />\u003C/picture>The survey introduces two powerful organizing principles:\u003C/strong>\u003C/p>\n\n\u003Cp>1. A unified taxonomy that categorizes all scientific data (observational, experimental, computational, theoretical, multimodal).\u003Cbr />\n2. A four-layer model of scientific knowledge: raw observations → patterns → mechanisms → unifying theories.\u003C/p>\n\n\u003Cp>Together, these frameworks guide both pre-training and post-training so that models learn to respect physical laws, propagate uncertainties correctly, and seamlessly bridge text, tables, formulas, code, and images.\u003C/p>\n\n\u003Chr />\n\u003Ch4>\u003Cstrong>Domain-Specific SciLLMs Are Already Outperforming Generalists\u003C/strong>\u003C/h4>\n\n\u003Cul>\n\t\u003Cli>Physics: Models now rival human experts at LHC event reconstruction.\u003C/li>\n\t\u003Cli>Chemistry: Agentic systems like ChemCrow and Coscientist autonomously plan and optimize reactions with near-lab accuracy.\u003C/li>\n\t\u003Cli>Biology: Specialized BioGPT variants achieve 85–90 % precision in variant calling and protein-function prediction.\u003C/li>\n\t\u003Cli>Materials & Astronomy: Galactica-style models predict crystal structures and detect exoplanets 20–35 % faster than traditional pipelines.\u003C/li>\n\t\u003Cli>Universal assistants (e.g., EXAONE 3.0) dynamically route queries to domain experts and score over 90 % on cross-disciplinary benchmarks.\u003C/li>\n\u003C/ul>\n\n\u003Chr />\n\u003Ch4>\u003Cstrong>Evaluation Is Changing Too\u003C/strong>\u003C/h4>\n\n\u003Cp>Old-style multiple-choice quizzes are being replaced by process-oriented benchmarks that grade chain-of-thought reasoning, tool use, intermediate reproducibility, and full experimental workflows. Modern tests like GPQA, LAB-Bench, and MultiAgentBench reveal that today’s best SciLLMs are still far from perfect - but improving dramatically with every iteration.\u003C/p>\n\n\u003Ch4>\u003Cstrong>The Ultimate Vision: Closed-Loop Autonomous Agents\u003C/strong>\u003C/h4>\n\n\u003Cp>\u003Cstrong>\u003Cpicture class=\"image-align-right\">\u003Csource srcset=\"https://cdn.quasa.io/photos/00/photo_2025-11-17_17-03-54.webp\" type=\"image/webp\">\u003Cimg alt=\"Forging the Future of Discovery: How Scientific LLMs Are Evolving into Autonomous Agents\" class=\"image-align-right\" height=\"196\" src=\"https://cdn.quasa.io/photos/00/photo_2025-11-17_17-03-54.jpg\" width=\"300\" />\u003C/picture>The survey’s boldest claim is that the future belongs to self-improving agent loops:\u003C/strong>\u003C/p>\n\n\u003Cp>→ Plan hypothesis  \u003Cbr />\n→ Design experiment or simulation  \u003Cbr />\n→ Execute (in silico or via robotic lab APIs)  \u003Cbr />\n→ Analyze results  \u003Cbr />\n→ Update knowledge base  \u003Cbr />\n→ Repeat\u003C/p>\n\n\u003Cp>Real-world examples already exist in 2025: multi-agent drug-screening platforms that cut validation time from months to days, autonomous chemistry optimizers achieving 89 % yield correlation with physical labs, and virtual-cell models that iteratively refine disease pathways using genomics + proteomics + imaging feedback.\u003C/p>\n\n\u003Chr />\n\u003Cp>\u003Cstrong>\u003Cpicture class=\"image-align-right\">\u003Csource srcset=\"https://cdn.quasa.io/photos/00/image-2025-11-17t171850627.webp\" type=\"image/webp\">\u003Cimg alt=\"Forging the Future of Discovery: How Scientific LLMs Are Evolving into Autonomous Agents\" class=\"image-align-right\" height=\"358\" src=\"https://cdn.quasa.io/photos/00/image-2025-11-17t171850627.jpg\" width=\"240\" />\u003C/picture>Also read:\u003C/strong>\u003C/p>\n\n\u003Cul>\n\t\u003Cli>\u003Ca href=\"https://quasa.io/media/the-great-semiconductor-reconfiguration-how-fdi-is-rewiring-the-world-s-chip-supply-chain\">The Great Semiconductor Reconfiguration: How FDI Is Rewiring the World’s Chip Supply Chain\u003C/a>\u003C/li>\n\t\u003Cli>\u003Ca href=\"https://quasa.io/media/crypto-s-hidden-liquidity-trap-tom-lee-s-bombshell-on-market-makers-and-the-bitcoin-bloodbath\">Crypto's Hidden Liquidity Trap: Tom Lee's Bombshell on Market Makers and the Bitcoin Bloodbath\u003C/a>\u003C/li>\n\t\u003Cli>\u003Ca href=\"https://quasa.io/media/china-s-ai-startups-cut-the-dollar-cord-from-silicon-valley-money-to-state-guidance\">China’s AI Startups Cut the Dollar Cord: From Silicon Valley Money to State Guidance\u003C/a>\u003C/li>\n\t\u003Cli>\u003Ca href=\"https://quasa.io/media/things-to-consider-in-buying-your-first-dslr-camera\">Things to Consider in Buying Your First DSLR Camera\u003C/a>\u003C/li>\n\u003C/ul>\n\n\u003Ch4>\u003Cstrong>Conclusion\u003C/strong>\u003C/h4>\n\n\u003Cp>Scientific LLMs are no longer just bigger language models with science papers sprinkled on top. They are evolving into data-rich, process-verified, evidence-anchored autonomous researchers. The combination of multimodal foundations, layered scientific reasoning, and closed agent loops is turning AI from a helpful intern into a genuine collaborator - and, in some narrow domains, already into an independent discoverer.\u003C/p>\n\n\u003Cp>Read the full 94-page survey here: \u003Ca href=\"https://arxiv.org/abs/2508.21148\">https://arxiv.org/abs/2508.21148\u003C/a>\u003C/p>","forging-the-future-of-discovery-how-scientific-llms-are-evolving-into-autonomous-agents","2025-11-17T16:20:18.000000Z","2025-11-25T09:05:00.000000Z","25.11.2025",{"image":82,"image_webp":83,"thumb":84,"thumb_webp":85},"https://cdn.quasa.io/images/news/hCu0sKYSvv8Tya2m3srqS5yVBPTyO0RZTU6OCUwM.jpg","https://cdn.quasa.io/images/news/hCu0sKYSvv8Tya2m3srqS5yVBPTyO0RZTU6OCUwM.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/hCu0sKYSvv8Tya2m3srqS5yVBPTyO0RZTU6OCUwM.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/hCu0sKYSvv8Tya2m3srqS5yVBPTyO0RZTU6OCUwM.webp","small",null,760,0,"en",{"id":42,"title":43,"slug":44,"meta_title":92,"meta_description":93,"meta_keywords":94,"deleted_at":87,"created_at":95,"updated_at":96,"lang":90},"Technology | AI Breakthroughs and Fresh News | QUASA","All the most interesting and useful about technologies. Exclusive articles from technologies you won't find anywhere else.","Technology, tech, business, ai, gadget, gadgets, life hacks","2023-03-23T08:15:32.000000Z","2026-04-22T15:05:32.000000Z",[98,112,125,138,151],{"title":99,"description":100,"slug":101,"created_at":102,"publish_at":102,"formatted_created_at":103,"category":104,"links":105,"view_type":86,"video_url":87,"views":110,"likes":89,"lang":90,"comments_count":89,"is_pinned":111},"Quasacoin (QUA) Trading Volumes Surge on Decentralized Exchanges Amid Shifting Holder Dynamics and Deflationary Momentum","As new buyers enter and the token’s free float tightens further, QUASA demonstrates resilience and strategic vision. With a decade of experience behind it and a clear commitment to value accrual for holders, the project stands out in a crowded market.","quasacoin-qua-trading-volumes-surge-on-decentralized-exchanges-amid-shifting-holder-dynamics-and-deflationary-momentum","2026-04-24T11:57:20.000000Z","24.04.2026",{"title":58,"slug":63},{"image":106,"image_webp":107,"thumb":108,"thumb_webp":109},"https://cdn.quasa.io/images/news/nXthVwSTsXspc8a25OCVfkqHNRNoAL2IcWqU3MV7.jpg","https://cdn.quasa.io/images/news/nXthVwSTsXspc8a25OCVfkqHNRNoAL2IcWqU3MV7.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/nXthVwSTsXspc8a25OCVfkqHNRNoAL2IcWqU3MV7.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/nXthVwSTsXspc8a25OCVfkqHNRNoAL2IcWqU3MV7.webp",51,false,{"title":113,"description":114,"slug":115,"created_at":116,"publish_at":117,"formatted_created_at":103,"category":118,"links":119,"view_type":86,"video_url":87,"views":124,"likes":89,"lang":90,"comments_count":89,"is_pinned":111},"Character AI Launches “Books” — Now You Can Step Inside Your Favorite Classic Novels","Character.AI, the popular platform known for letting users create and chat with AI-powered characters, has just introduced one of its most ambitious features yet: Books.","character-ai-launches-books-now-you-can-step-inside-your-favorite-classic-novels","2026-04-20T21:13:32.000000Z","2026-04-24T11:01:00.000000Z",{"title":65,"slug":66},{"image":120,"image_webp":121,"thumb":122,"thumb_webp":123},"https://cdn.quasa.io/images/news/RAwRg3ljforBHHGGH3NcJTJOMXPWeBoOmkzmtjGD.jpg","https://cdn.quasa.io/images/news/RAwRg3ljforBHHGGH3NcJTJOMXPWeBoOmkzmtjGD.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/RAwRg3ljforBHHGGH3NcJTJOMXPWeBoOmkzmtjGD.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/RAwRg3ljforBHHGGH3NcJTJOMXPWeBoOmkzmtjGD.webp",57,{"title":126,"description":127,"slug":128,"created_at":129,"publish_at":130,"formatted_created_at":103,"category":131,"links":132,"view_type":86,"video_url":87,"views":137,"likes":89,"lang":90,"comments_count":89,"is_pinned":111},"OpenAI Launches GPT-Rosalind: A Specialized AI Model Aimed at Accelerating Drug Discovery","For years, DeepMind has demonstrated with AlphaFold that the most impactful AI breakthroughs in science often come from highly specialized models rather than general-purpose ones.","openai-launches-gpt-rosalind-a-specialized-ai-model-aimed-at-accelerating-drug-discovery","2026-04-20T20:58:22.000000Z","2026-04-24T09:46:00.000000Z",{"title":43,"slug":44},{"image":133,"image_webp":134,"thumb":135,"thumb_webp":136},"https://cdn.quasa.io/images/news/4xcTp3eHMAlvSDdEakQSXR47BHBsjgOFeWeN4q7N.jpg","https://cdn.quasa.io/images/news/4xcTp3eHMAlvSDdEakQSXR47BHBsjgOFeWeN4q7N.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/4xcTp3eHMAlvSDdEakQSXR47BHBsjgOFeWeN4q7N.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/4xcTp3eHMAlvSDdEakQSXR47BHBsjgOFeWeN4q7N.webp",64,{"title":139,"description":140,"slug":141,"created_at":142,"publish_at":143,"formatted_created_at":103,"category":144,"links":145,"view_type":86,"video_url":87,"views":150,"likes":89,"lang":90,"comments_count":89,"is_pinned":111},"Mark Zuckerberg Is Building an AI Clone of Himself — And This Time It Might Actually Talk Back","Mark Zuckerberg has a thing for unconventional versions of himself. During the height of the metaverse hype, he proudly appeared as a cartoonish, legless avatar that became an instant meme. 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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":174,"image_webp":87,"thumb":175,"thumb_webp":175},"https://cdn.quasa.io/images/news/mVsXPTMuHZuI7UXCsENgL1Qwp1uSOf7Rz3uVPMfm.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/mVsXPTMuHZuI7UXCsENgL1Qwp1uSOf7Rz3uVPMfm.webp",71485,2,{"title":179,"description":180,"slug":181,"created_at":182,"publish_at":183,"formatted_created_at":184,"category":185,"links":186,"view_type":191,"video_url":87,"views":192,"likes":193,"lang":90,"comments_count":89,"is_pinned":111},"Advertising on QUASA","QUASA MEDIA is read by more than 400 thousand people a month. 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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":215,"image_webp":216,"thumb":217,"thumb_webp":218},"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",42809,1,{"title":222,"description":223,"slug":224,"created_at":225,"publish_at":226,"formatted_created_at":227,"category":228,"links":229,"view_type":191,"video_url":87,"views":234,"likes":177,"lang":90,"comments_count":89,"is_pinned":111},"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":230,"image_webp":231,"thumb":232,"thumb_webp":233},"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",41863,[236,237,238,239,240,241,242,243,244,245,246,247,248],{"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}]