[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"nav-categories":3,"article-not-just-llms-google-s-new-specialized-models-for-raw-sensor-data-and-tabular-tables":45,"article-ads":214},{"data":4},[5,32,39],{"name":6,"slug":7,"categories":8},"Technology","tech",[9,12,16,20,24,28],{"id":10,"title":6,"slug":11},28,"technology",{"id":13,"title":14,"slug":15},37,"Creator Economy","creator-economy",{"id":17,"title":18,"slug":19},20,"Work","work",{"id":21,"title":22,"slug":23},22,"Finance","finance",{"id":25,"title":26,"slug":27},31,"YouTube Blog","youtube-blog",{"id":29,"title":30,"slug":31},21,"For newbies","for-newbies",{"name":33,"slug":34,"categories":35},"News","news",[36],{"id":37,"title":33,"slug":38},18,"quasanews",{"name":40,"slug":41,"categories":42},"Business","business",[43],{"id":44,"title":40,"slug":41},16,{"post":46,"published_news":71,"popular_news":134,"categories":205},{"title":47,"description":48,"meta_title":47,"meta_description":48,"meta_keywords":49,"text":50,"slug":51,"created_at":52,"publish_at":52,"formatted_created_at":53,"category_id":10,"links":54,"view_type":59,"video_url":60,"views":61,"likes":62,"lang":63,"comments_count":62,"category":64},"Not Just LLMs: Google’s New Specialized Models for Raw Sensor Data and Tabular Tables","Google Research has just released two specialized foundation models that directly address these weaknesses: SensorFM for wearable sensor data and TabFM for tabular data.","he era of forcing everything through a text-only lens is starting to give way to more appropriate tools for the job.","\u003Cp>Large language models are incredible at text, reasoning, and general knowledge. But when it comes to raw numerical data — especially high-volume sensor streams or large structured tables — they are often the wrong tool for the job. Dumping a year of heart-rate readings or a 100,000-row spreadsheet into ChatGPT turns precise numbers and relationships into a long “story.” The model loses structural information, struggles to truly “feel” numerical patterns, and quickly runs into context limits.\u003C/p>\n\n\u003Cp>Google Research has just released two specialized foundation models that directly address these weaknesses: \u003Ca href=\"https://research.google/blog/sensorfm-towards-a-general-intelligence-and-interface-for-wearable-health-data/\">\u003Cstrong>SensorFM\u003C/strong>\u003C/a> for wearable sensor data and \u003Ca href=\"https://research.google/blog/sensorfm-towards-a-general-intelligence-and-interface-for-wearable-health-data/\">\u003Cstrong>TabFM\u003C/strong>\u003C/a> for tabular data. Both were introduced about two weeks ago and already look extremely promising.\u003C/p>\n\n\u003Chr />\n\u003Ch4>\u003Cstrong>SensorFM: Learning Directly from Raw Wearable Signals\u003C/strong>\u003C/h4>\n\n\u003Cp>\u003Cstrong>SensorFM\u003C/strong> is trained \u003Cstrong>directly\u003C/strong> on raw multimodal sensor data from wearables — no text conversion required. It was pre-trained on over \u003Cstrong>one trillion minutes\u003C/strong> (roughly two billion hours) of data collected from \u003Cstrong>five million\u003C/strong> consented participants across more than 100 countries and many Fitbit and Pixel Watch models.\u003C/p>\n\n\u003Cp>\u003Cstrong>\u003Cpicture>\u003Csource srcset=\"https://cdn.quasa.io/photos/0001/image-2026-07-20t112752077.webp\" type=\"image/webp\">\u003Cimg alt=\"Not Just LLMs: Google’s New Specialized Models for Raw Sensor Data and Tabular Tables\" class=\"image-align-right\" height=\"201\" src=\"https://cdn.quasa.io/photos/0001/image-2026-07-20t112752077.jpg\" width=\"300\" />\u003C/picture>The model ingests signals such as:\u003C/strong>\u003C/p>\n\n\u003Cul>\n\t\u003Cli>Photoplethysmography (PPG) → heart rate and heart-rate variability;\u003C/li>\n\t\u003Cli>Accelerometry → movement and steps;\u003C/li>\n\t\u003Cli>Electrodermal activity (EDA);\u003C/li>\n\t\u003Cli>Skin temperature;\u003C/li>\n\t\u003Cli>Altimetry.\u003C/li>\n\u003C/ul>\n\n\u003Cp>Crucially, it handles missing data natively. If someone takes off their watch, the model doesn’t break — real-world gaps are treated as a normal part of the signal during training.\u003C/p>\n\n\u003Cp>\u003Cstrong>Performance highlights:\u003C/strong>\u003C/p>\n\n\u003Cul>\n\t\u003Cli>On 35 discriminative health tasks (cardiovascular, metabolic, sleep, demographics, lifestyle, and mental health), the frozen encoder + simple linear probe outperformed hand-engineered expert baselines on \u003Cstrong>34 out of 35\u003C/strong> tasks.\u003C/li>\n\t\u003Cli>It particularly shines at detecting subtle signals that are hard to spot from pulse data alone — including \u003Cstrong>depression and anxiety\u003C/strong>.\u003C/li>\n\t\u003Cli>Scaling experiments show consistent gains with more data and larger models, with no signs of saturation yet.\u003C/li>\n\u003C/ul>\n\n\u003Cp>Instead of forcing an LLM to interpret noisy time-series data as text, SensorFM learns a general-purpose representation of human physiology. It can then be adapted efficiently (even with small amounts of labeled data) or used to ground a Personal Health Agent that generates clinically useful insights.\u003C/p>\n\n\u003Chr />\n\u003Ch4>\u003Cstrong>TabFM: Zero-Shot Foundation Model for Tabular Data\u003C/strong>\u003C/h4>\n\n\u003Cp>\u003Cpicture>\u003Csource srcset=\"https://cdn.quasa.io/photos/0001/image-2026-07-20t112756360.webp\" type=\"image/webp\">\u003Cimg alt=\"Not Just LLMs: Google’s New Specialized Models for Raw Sensor Data and Tabular Tables\" class=\"image-align-left\" height=\"201\" src=\"https://cdn.quasa.io/photos/0001/image-2026-07-20t112756360.jpg\" width=\"300\" />\u003C/picture>Tabular data is the lifeblood of business analytics, yet it has always been awkward for LLMs.\u003C/p>\n\n\u003Cp>Tables have complex row/column relationships, mixed data types, and missing values. Traditional pipelines require data scientists to spend days cleaning data, engineering features, and tuning models like XGBoost.\u003C/p>\n\n\u003Cp>\u003Cstrong>TabFM\u003C/strong> flips this script. You can feed it a table \u003Cstrong>as-is\u003C/strong> and get high-quality predictions in a single forward pass — \u003Cstrong>zero-shot\u003C/strong>, with no training or hyperparameter tuning required.\u003C/p>\n\n\u003Cp>\u003Cstrong>Key details:\u003C/strong>\u003C/p>\n\n\u003Cul>\n\t\u003Cli>Trained entirely on \u003Cstrong>hundreds of millions of synthetic tables\u003C/strong> generated via structural causal models. This gave the model exposure to diverse distributions and complex feature relationships without needing massive real-world datasets.\u003C/li>\n\t\u003Cli>Uses a hybrid architecture with alternating row and column attention, plus row compression, specifically designed for two-dimensional tabular structure.\u003C/li>\n\t\u003Cli>On a broad benchmark (TabArena) covering dozens of classification and regression datasets, TabFM matches or beats heavily tuned classical models.\u003C/li>\n\t\u003Cli>Coming soon to \u003Cstrong>Google BigQuery\u003C/strong> — you’ll be able to run advanced predictions with a simple \u003Cstrong>`AI.PREDICT`\u003C/strong> SQL command.\u003C/li>\n\u003C/ul>\n\n\u003Cp>This is a game-changer for analysts and data teams who don’t want (or need) to become machine learning experts just to get good predictions from their tables.\u003C/p>\n\n\u003Chr />\n\u003Ch4>\u003Cstrong>Why Specialized Models Beat “Just Throw It at an LLM”\u003C/strong>\u003C/h4>\n\n\u003Cp>\u003Cpicture>\u003Csource srcset=\"https://cdn.quasa.io/photos/0001/image-2026-07-20t112758361.webp\" type=\"image/webp\">\u003Cimg alt=\"Not Just LLMs: Google’s New Specialized Models for Raw Sensor Data and Tabular Tables\" class=\"image-align-right\" height=\"298\" src=\"https://cdn.quasa.io/photos/0001/image-2026-07-20t112758361.jpg\" width=\"200\" />\u003C/picture>LLMs process everything as text.\u003C/p>\n\n\u003Cp>\u003Cstrong>When you convert sensor time-series or large numerical tables into tokens:\u003C/strong>\u003C/p>\n\n\u003Cul>\n\t\u003Cli>Fine-grained numerical relationships and ordering get diluted.\u003C/li>\n\t\u003Cli>The model treats data more like narrative than precise measurements.\u003C/li>\n\t\u003Cli>Context windows fill up extremely fast with high-volume data.\u003C/li>\n\u003C/ul>\n\n\u003Cp>Specialized models like SensorFM and TabFM are trained on the \u003Cstrong>actual modality\u003C/strong> — raw signals or native tabular structure.\u003C/p>\n\n\u003Cp>They preserve what matters and scale efficiently.\u003C/p>\n\n\u003Chr />\n\u003Ch4>\u003Cstrong>The Practical Takeaway\u003C/strong>\u003C/h4>\n\n\u003Cp>\u003Cpicture>\u003Csource srcset=\"https://cdn.quasa.io/photos/0001/image-2026-07-20t112759811.webp\" type=\"image/webp\">\u003Cimg alt=\"Not Just LLMs: Google’s New Specialized Models for Raw Sensor Data and Tabular Tables\" class=\"image-align-left\" height=\"201\" src=\"https://cdn.quasa.io/photos/0001/image-2026-07-20t112759811.jpg\" width=\"300\" />\u003C/picture>We’re entering an era of \u003Cstrong>multimodal foundation models\u003C/strong>, not just bigger language models. For text-heavy tasks, LLMs remain fantastic. For raw sensor streams from wearables or large structured datasets, dedicated models are already superior and far more practical.\u003C/p>\n\n\u003Cp>Google’s SensorFM and TabFM show that the “foundation model” approach works brilliantly outside pure language. They deliver strong performance with minimal (or zero) task-specific training and handle real-world messiness gracefully.\u003C/p>\n\n\u003Cp>If you work with health sensor data or tabular analytics, these models are worth watching closely — and using. The era of forcing everything through a text-only lens is starting to give way to more appropriate tools for the job.\u003C/p>\n\n\u003Cp>---\u003C/p>\n\n\u003Cp>\u003Cpicture>\u003Csource srcset=\"https://cdn.quasa.io/photos/0001/image-2026-07-20t112801645.webp\" type=\"image/webp\">\u003Cimg alt=\"Not Just LLMs: Google’s New Specialized Models for Raw Sensor Data and Tabular Tables\" class=\"image-align-right\" height=\"223\" src=\"https://cdn.quasa.io/photos/0001/image-2026-07-20t112801645.jpg\" width=\"150\" />\u003C/picture>Also read:\u003C/p>\n\n\u003Cul>\n\t\u003Cli>\u003Ca href=\"https://quasa.io/media/2026-sdg-global-business-forum-focuses-on-business-and-sustainable-development\">2026 SDG Global Business Forum Focuses on Business and Sustainable Development\u003C/a>\u003C/li>\n\t\u003Cli>\u003Ca href=\"https://quasa.io/media/u-s-small-business-employment-dips-slightly-in-june-2026-per-quickbooks-index\">U.S. Small Business Employment Dips Slightly in June 2026 per QuickBooks Index\u003C/a>\u003C/li>\n\t\u003Cli>\u003Ca href=\"https://quasa.io/media/ibm-shares-plunge-25-on-q2-earnings-warning-amid-ai-capex-shifts\">IBM Shares Plunge 25% on Q2 Earnings Warning Amid AI Capex Shifts\u003C/a>\u003C/li>\n\t\u003Cli>\u003Ca href=\"https://quasa.io/media/control-the-ideas-not-the-code\">Control the Ideas, Not the Code\u003C/a>\u003C/li>\n\t\u003Cli>\u003Ca href=\"https://quasa.io/media/anthropic-explained-when-to-tinker-with-effort-level-in-claude-code-spoiler-not-often\">Anthropic Explained When to Tinker with Effort Level in Claude Code (Spoiler: Not Often)\u003C/a>\u003C/li>\n\u003C/ul>\n\n\u003Cp>---\u003C/p>\n\n\u003Cp>Thank you!\u003C/p>","not-just-llms-google-s-new-specialized-models-for-raw-sensor-data-and-tabular-tables","2026-07-20T09:31:25.000000Z","20.07.2026",{"image":55,"image_webp":56,"thumb":57,"thumb_webp":58},"https://cdn.quasa.io/images/news/DwRq2nFolNuvBiSepUbHd3SjPPmMCp1bffzHK1PS.jpg","https://cdn.quasa.io/images/news/DwRq2nFolNuvBiSepUbHd3SjPPmMCp1bffzHK1PS.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/DwRq2nFolNuvBiSepUbHd3SjPPmMCp1bffzHK1PS.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/DwRq2nFolNuvBiSepUbHd3SjPPmMCp1bffzHK1PS.webp","small",null,126,0,"en",{"id":10,"title":6,"slug":11,"meta_title":65,"meta_description":66,"meta_keywords":67,"show_on_homepage":68,"deleted_at":60,"created_at":69,"updated_at":70,"lang":63},"Technology: Discoveries, Research and Cybersecurity | QUASA","New technologies, discoveries, research, cybersecurity, inventions and releases from technology companies worldwide.","technology, discoveries, research, cybersecurity, 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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":40,"slug":41},{"image":159,"image_webp":60,"thumb":160,"thumb_webp":160},"https://cdn.quasa.io/images/news/mVsXPTMuHZuI7UXCsENgL1Qwp1uSOf7Rz3uVPMfm.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/mVsXPTMuHZuI7UXCsENgL1Qwp1uSOf7Rz3uVPMfm.webp",81747,4,{"title":164,"description":165,"slug":166,"created_at":167,"publish_at":168,"formatted_created_at":169,"category":170,"links":171,"view_type":59,"video_url":60,"views":174,"likes":175,"lang":63,"comments_count":62,"is_pinned":85},"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":40,"slug":41},{"image":172,"image_webp":60,"thumb":173,"thumb_webp":173},"https://cdn.quasa.io/images/news/EOsQhSW3VXyG7a6NPdE1oZd00xfJXe3bjY5aJGb7.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/EOsQhSW3VXyG7a6NPdE1oZd00xfJXe3bjY5aJGb7.webp",80051,7,{"title":177,"description":178,"slug":179,"created_at":180,"publish_at":181,"formatted_created_at":182,"category":183,"links":184,"view_type":59,"video_url":60,"views":189,"likes":162,"lang":63,"comments_count":190,"is_pinned":85},"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","2026-05-18T19:10:00.000000Z","18.05.2026",{"title":18,"slug":19},{"image":185,"image_webp":186,"thumb":187,"thumb_webp":188},"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",49706,1,{"title":192,"description":193,"slug":194,"created_at":195,"publish_at":196,"formatted_created_at":197,"category":198,"links":199,"view_type":98,"video_url":60,"views":204,"likes":162,"lang":63,"comments_count":62,"is_pinned":85},"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":14,"slug":15},{"image":200,"image_webp":201,"thumb":202,"thumb_webp":203},"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",47866,[206,207,208,209,210,211,212,213],{"title":14,"slug":15},{"title":26,"slug":27},{"title":6,"slug":11},{"title":22,"slug":23},{"title":30,"slug":31},{"title":18,"slug":19},{"title":33,"slug":38},{"title":40,"slug":41},{"data":215},[216,240,248,260,284,302,321],{"id":217,"order":62,"created_at":218,"expired_at":219,"news_id":220,"post":221},81,"2025-10-19T20:19:39.000000Z","2026-10-19 20:19:16",12864,{"id":220,"title":222,"description":223,"slug":224,"created_at":225,"publish_at":226,"formatted_created_at":227,"category":228,"links":233,"view_type":98,"video_url":60,"views":238,"likes":239,"lang":63,"comments_count":60},"Earning Money Through Website Surfing: A Simple Way to Make Cryptocurrency","Many believe that earning cryptocurrency online requires special skills or expensive equipment. However, this is far from the truth. Website surfing, or browsing websites for rewards, is an accessible way to earn money or cryptocurrency with just a computer or smartphone and an internet connection.One of the easiest methods to generate income in the digital space is through website surfing. The tasks involved are so simple that virtually anyone can participate, regardless of experience or technical expertise.In this article, we’ll introduce you to a platform where you can start earning money and cryptocurrency through website surfing: Quasa Rewards.","earning-money-through-website-surfing-a-simple-way-to-make-cryptocurrency","2025-09-26T10:51:12.000000Z","2025-12-11T10:51:12.000000Z","11.12.2025",{"id":37,"title":33,"slug":38,"meta_title":229,"meta_description":230,"meta_keywords":231,"show_on_homepage":68,"deleted_at":60,"created_at":232,"updated_at":70,"lang":63},"Technology, AI, Space and Robotics News | QUASA","Important technology, AI, space and robotics news from the US, Europe, China, India and the rest of the world.","technology news, AI news, space, robotics, technology companies","2021-08-09T19:09:44.000000Z",{"image":234,"image_webp":235,"thumb":236,"thumb_webp":237},"https://cdn.quasa.io/images/news/YSiJuxDAmWhSW9FRj9ySKpji0y7gn3H3M7GejA0x.jpg","https://cdn.quasa.io/images/news/YSiJuxDAmWhSW9FRj9ySKpji0y7gn3H3M7GejA0x.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/YSiJuxDAmWhSW9FRj9ySKpji0y7gn3H3M7GejA0x.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/YSiJuxDAmWhSW9FRj9ySKpji0y7gn3H3M7GejA0x.webp",7838,3,{"id":241,"order":62,"created_at":242,"expired_at":243,"news_id":244,"post":245},86,"2026-06-07T14:36:10.000000Z","2029-06-07 14:35:45",4545,{"id":244,"title":136,"description":137,"slug":138,"created_at":139,"publish_at":140,"formatted_created_at":141,"category":246,"links":247,"view_type":98,"video_url":60,"views":148,"likes":149,"lang":63,"comments_count":60},{"id":37,"title":33,"slug":38,"meta_title":229,"meta_description":230,"meta_keywords":231,"show_on_homepage":68,"deleted_at":60,"created_at":232,"updated_at":70,"lang":63},{"image":144,"image_webp":145,"thumb":146,"thumb_webp":147},{"id":249,"order":62,"created_at":250,"expired_at":251,"news_id":252,"post":253},87,"2026-06-07T14:46:09.000000Z","2031-06-07 14:45:52",1229,{"id":252,"title":164,"description":165,"slug":166,"created_at":167,"publish_at":168,"formatted_created_at":169,"category":254,"links":259,"view_type":59,"video_url":60,"views":174,"likes":175,"lang":63,"comments_count":60},{"id":44,"title":40,"slug":41,"meta_title":255,"meta_description":256,"meta_keywords":257,"show_on_homepage":68,"deleted_at":60,"created_at":258,"updated_at":70,"lang":63},"Technology Business, Startups and Growth Strategies | QUASA","Technology business news, startups, entrepreneurship, growth strategies and emerging business models.","business, technology business, startups, strategy, growth","2021-08-03T10:59:17.000000Z",{"image":172,"image_webp":60,"thumb":173,"thumb_webp":173},{"id":261,"order":190,"created_at":262,"expired_at":263,"news_id":264,"post":265},92,"2026-06-07T15:05:49.000000Z","2033-06-07 15:05:26",13757,{"id":264,"title":266,"description":267,"slug":268,"created_at":269,"publish_at":270,"formatted_created_at":271,"category":272,"links":277,"view_type":59,"video_url":60,"views":282,"likes":283,"lang":63,"comments_count":60},"The State of Hybrid Freelance 2026: AI, Web3 and the Death of Traditional Work (Update June 2026)","New industry data from QUASA: How AI and Web3 are destroying traditional work in 2026. Download the full report.","report-2026","2026-02-02T08:38:20.000000Z","2026-07-04T15:26:00.000000Z","04.07.2026",{"id":17,"title":18,"slug":19,"meta_title":273,"meta_description":274,"meta_keywords":275,"show_on_homepage":85,"deleted_at":60,"created_at":276,"updated_at":70,"lang":63},"Remote Work, Freelancing and Careers | QUASA","Remote and hybrid work, freelancing, ways to earn, careers and labor-market changes around the world.","remote work, freelancing, earnings, hybrid work, careers","2021-09-03T20:21:41.000000Z",{"image":278,"image_webp":279,"thumb":280,"thumb_webp":281},"https://cdn.quasa.io/images/news/GD0ptwC1dSdOUluvqyI6Hkay9pmmzOQGaJPpn1ib.jpg","https://cdn.quasa.io/images/news/GD0ptwC1dSdOUluvqyI6Hkay9pmmzOQGaJPpn1ib.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/GD0ptwC1dSdOUluvqyI6Hkay9pmmzOQGaJPpn1ib.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/GD0ptwC1dSdOUluvqyI6Hkay9pmmzOQGaJPpn1ib.webp",6500,2,{"id":285,"order":283,"created_at":286,"expired_at":287,"news_id":239,"post":288},82,"2025-10-19T20:23:19.000000Z","2026-10-19 20:23:00",{"id":239,"title":289,"description":290,"slug":291,"created_at":292,"publish_at":293,"formatted_created_at":294,"category":295,"links":296,"view_type":98,"video_url":60,"views":301,"likes":190,"lang":63,"comments_count":60},"Earn Cryptocurrency While Browsing: A Simple Way to Make Quasacoin","In today’s digital age, where browsing the internet is second nature, what if your everyday web surfing could become a source of income? With Quasa Rewards, this dream is now a reality.","earn-cryptocurrency-while-browsing-a-simple-way-to-make-quasacoin","2019-07-16T15:59:39.000000Z","2025-12-12T11:17:36.000000Z","12.12.2025",{"id":37,"title":33,"slug":38,"meta_title":229,"meta_description":230,"meta_keywords":231,"show_on_homepage":68,"deleted_at":60,"created_at":232,"updated_at":70,"lang":63},{"image":297,"image_webp":298,"thumb":299,"thumb_webp":300},"https://cdn.quasa.io/images/news/CC21Qn3xHuMMnkH2VqSF7lcbd3XJrV9idLXnjPxX.jpg","https://cdn.quasa.io/images/news/CC21Qn3xHuMMnkH2VqSF7lcbd3XJrV9idLXnjPxX.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/CC21Qn3xHuMMnkH2VqSF7lcbd3XJrV9idLXnjPxX.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/CC21Qn3xHuMMnkH2VqSF7lcbd3XJrV9idLXnjPxX.webp",7240,{"id":303,"order":283,"created_at":304,"expired_at":305,"news_id":306,"post":307},89,"2026-06-07T14:54:22.000000Z","2030-06-07 14:54:10",14533,{"id":306,"title":308,"description":309,"slug":310,"created_at":311,"publish_at":312,"formatted_created_at":313,"category":314,"links":315,"view_type":59,"video_url":60,"views":320,"likes":283,"lang":63,"comments_count":60},"Quasa Projects: The PPC Advertising Platform Powering the New Crypto Economy","The global PPC advertising market is more than 1,000 times larger than the old surfing niche — operating in the hundreds of billions of dollars.","quasa-projects-the-ppc-advertising-platform-powering-the-new-crypto-economy","2026-05-16T17:26:37.000000Z","2026-05-17T14:40:00.000000Z","17.05.2026",{"id":37,"title":33,"slug":38,"meta_title":229,"meta_description":230,"meta_keywords":231,"show_on_homepage":68,"deleted_at":60,"created_at":232,"updated_at":70,"lang":63},{"image":316,"image_webp":317,"thumb":318,"thumb_webp":319},"https://cdn.quasa.io/images/news/imwxgJ055ISr1tlKGDQLYBQFaE0ub84LDZnW3gvo.jpg","https://cdn.quasa.io/images/news/imwxgJ055ISr1tlKGDQLYBQFaE0ub84LDZnW3gvo.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/imwxgJ055ISr1tlKGDQLYBQFaE0ub84LDZnW3gvo.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/imwxgJ055ISr1tlKGDQLYBQFaE0ub84LDZnW3gvo.webp",4739,{"id":322,"order":239,"created_at":323,"expired_at":324,"news_id":325,"post":326},83,"2025-10-19T20:28:22.000000Z","2026-10-19 20:28:07",12458,{"id":325,"title":327,"description":328,"slug":329,"created_at":330,"publish_at":331,"formatted_created_at":332,"category":333,"links":334,"view_type":59,"video_url":60,"views":339,"likes":62,"lang":63,"comments_count":60},"Customers Know Their Actions Are Valuable and Want to Be Compensated","In today’s digital landscape, customers are increasingly aware of the value their actions—such as sharing data or engaging with content — hold for businesses.","customers-know-their-actions-are-valuable-and-want-to-be-compensated","2025-08-16T14:11:36.000000Z","2026-01-22T09:18:36.000000Z","22.01.2026",{"id":37,"title":33,"slug":38,"meta_title":229,"meta_description":230,"meta_keywords":231,"show_on_homepage":68,"deleted_at":60,"created_at":232,"updated_at":70,"lang":63},{"image":335,"image_webp":336,"thumb":337,"thumb_webp":338},"https://cdn.quasa.io/images/news/U41SnZieapnGo9WQI8GWBgaZIpI0yKk8d51nr6hA.jpg","https://cdn.quasa.io/images/news/U41SnZieapnGo9WQI8GWBgaZIpI0yKk8d51nr6hA.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/U41SnZieapnGo9WQI8GWBgaZIpI0yKk8d51nr6hA.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/U41SnZieapnGo9WQI8GWBgaZIpI0yKk8d51nr6hA.webp",3053]