[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"nav-categories":3,"article-public-ai-leaderboards-miss-the-system-around-the-model":45,"article-ads":218},{"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":76,"popular_news":131,"categories":209},{"title":47,"description":48,"meta_title":49,"meta_description":50,"meta_keywords":51,"text":52,"slug":53,"created_at":54,"publish_at":55,"first_published_at":55,"updated_at":54,"formatted_created_at":56,"category_id":29,"links":57,"view_type":62,"video_url":63,"views":64,"likes":65,"lang":66,"comments_count":65,"is_indexable":67,"response_status":63,"category":68,"translations":75},"Public AI Leaderboards Miss the System Around the Model","Public model rankings cannot show whether an AI agent fits a startup’s workflow. Evaluate the complete system through repeatable tests of outcomes, recovery, latency, cost and human effort.","Why Public AI Rankings Cannot Evaluate a Complete Agent","Evaluate a complete AI agent with repeatable workflow tests covering outcomes, tools, recovery, latency, cost and human review.","AI agent evaluation, startup AI testing, agent benchmarks, workflow evaluation, failure recovery, AI agent cost, acceptance testing","\u003Cp>Evaluate an AI agent as a complete working configuration, not as a model name or leaderboard score. Run repeatable trials on representative business tasks, verify the resulting state, and measure tool behavior, failure recovery, latency, cost and human effort.\u003C/p>\u003Cp>Public rankings can narrow a shortlist, but they cannot establish whether an agent fits your customers, permissions, data or operating limits. That decision requires a private acceptance test built around the work the deployed system will actually perform.\u003C/p>\u003Ch2>Define the system you are evaluating\u003C/h2>\u003Cp>An agent combines a model with instructions, tools, retrieval, memory, planning logic, permissions and retry rules. A result belongs to that complete configuration: changing one component can change both performance and operating cost without changing the underlying model.\u003C/p>\u003Cp>IBM Research’s \u003Ca href=\"https://huggingface.co/blog/ibm-research/open-agent-leaderboard\" target=\"_blank\" rel=\"nofollow noopener\">Open Agent Leaderboard\u003C/a> illustrates the distinction by comparing specific agent-and-model configurations, reporting success and cost, and showing different results for systems built around the same model. It is a useful counterexample to model-only rankings, but its general-purpose environments still cannot define success for a particular startup product.\u003C/p>\u003Cp>Give every configuration a versioned record covering the model version, system instructions, available tools, retrieval settings, memory policy, context limits, retry behavior and approval rules. Without that record, a prompt or tool change can make two results with the same model label impossible to compare.\u003C/p>\u003Ch2>Turn real workflows into test cases\u003C/h2>\u003Cp>Start with the jobs for which the agent will be accountable. A support agent’s suite might include answering from an approved policy, retrieving an account, making an eligible change and escalating an exception. Cover frequent work, commercially important work and credible edge cases rather than selecting only tasks the agent already handles well.\u003C/p>\u003Cp>Each test case needs five elements:\u003C/p>\u003Cul>\u003Cli>\u003Cstrong>Starting state:\u003C/strong> the request, available records, permissions and relevant conversation history.\u003C/li>\u003Cli>\u003Cstrong>Allowed actions:\u003C/strong> the tools the agent may call and the changes it may make.\u003C/li>\u003Cli>\u003Cstrong>Expected outcome:\u003C/strong> the observable state that must exist when the task ends.\u003C/li>\u003Cli>\u003Cstrong>Forbidden outcomes:\u003C/strong> actions or disclosures that invalidate the run regardless of answer quality.\u003C/li>\u003Cli>\u003Cstrong>Review method:\u003C/strong> a deterministic check, a human rubric or a defined combination of both.\u003C/li>\u003C/ul>\u003Cp>Grade the resulting state rather than relying on the final message. An agent may say that it changed a customer record when no change occurred; it may also reach a correct result using wording that differs from a reference answer.\u003C/p>\u003Cp>This product-specific design is consistent with \u003Ca href=\"https://www.techradar.com/pro/why-serious-ai-builders-are-skipping-third-party-evals\" target=\"_blank\" rel=\"nofollow noopener\">Henry Wang’s TechRadar Pro analysis\u003C/a>, which argues that private evaluations can use real workflows and business-relevant outcomes unavailable to generalized external scoring. Treat that article as industry opinion, while defining your own criteria from observable product requirements.\u003C/p>\u003Ch2>Measure outcomes, trajectories and recovery\u003C/h2>\u003Cp>A pass-or-fail result can gate a release, but it does not explain why a run succeeded or failed. Preserve the trace: tool calls and arguments, tool responses, state changes, retries, final output, elapsed time and attributable usage cost.\u003C/p>\u003Cp>Score distinct dimensions so that one strong answer cannot conceal an unsafe trajectory:\u003C/p>\u003Cul>\u003Cli>\u003Cstrong>Task success:\u003C/strong> did the required business state change correctly?\u003C/li>\u003Cli>\u003Cstrong>Tool correctness:\u003C/strong> did the agent choose permitted tools and provide valid arguments?\u003C/li>\u003Cli>\u003Cstrong>Data integrity:\u003C/strong> were its claims grounded in the records available during the trial?\u003C/li>\u003Cli>\u003Cstrong>Policy compliance:\u003C/strong> did it respect permissions, approval points and prohibited actions?\u003C/li>\u003Cli>\u003Cstrong>Efficiency:\u003C/strong> what latency, usage cost and tool activity produced an accepted result?\u003C/li>\u003Cli>\u003Cstrong>Human burden:\u003C/strong> did a reviewer approve, correct or redo the work?\u003C/li>\u003C/ul>\u003Cp>Test recovery by deliberately returning a tool error, timeout, empty result, rejected write or conflicting instruction. Record whether the agent retries safely, selects an allowed alternative, asks for clarification, escalates or invents information. A configuration that succeeds in a clean demo may create costly retry loops or unsafe actions when dependencies fail.\u003C/p>\u003Cp>\u003Ca href=\"https://www.anthropic.com/engineering/demystifying-evals-for-ai-agents\" target=\"_blank\" rel=\"nofollow noopener\">Anthropic’s agent-evaluation guidance\u003C/a> defines evaluations in terms of tasks, trials, graders, traces and observable outcomes; it also recommends multiple trials because model outputs vary. The same guidance distinguishes the agent harness from the model and combines automated grading with human judgment where correctness is contextual.\u003C/p>\u003Ch2>Make the worksheet a release gate\u003C/h2>\u003Cp>Before seeing results, classify each criterion as blocking, budgeted or diagnostic. Unauthorized disclosure may be blocking; latency, cost and review time can have explicit budgets; unnecessary retries may remain diagnostic while the team investigates their cause. Precommitting prevents an impressive final answer from excusing a dangerous action.\u003C/p>\u003Cp>Use one worksheet row per task, trial and configuration, with columns for:\u003C/p>\u003Cul>\u003Cli>configuration and trial identifiers;\u003C/li>\u003Cli>starting state and expected outcome;\u003C/li>\u003Cli>accepted, rejected or human-review status;\u003C/li>\u003Cli>failed checks and forbidden actions;\u003C/li>\u003Cli>tool errors, retries and recovery result;\u003C/li>\u003Cli>end-to-end latency and total run cost;\u003C/li>\u003Cli>review time and required correction;\u003C/li>\u003Cli>a reference to the saved trace.\u003C/li>\u003C/ul>\u003Cp>Calculate both cost per attempt and cost per accepted result. The first measures raw operating expense; the second exposes the retries and human correction required to obtain usable work. Keep task-level results alongside aggregates so a high average cannot hide a critical failure category.\u003C/p>\u003Ch2>Set the model-switch rule before comparing candidates\u003C/h2>\u003Cp>Run the incumbent and candidate against the same task definitions, starting states, tools, graders and trial policy. Change one controlled component at a time when possible. Replacing the model, prompt and tool layer together may improve the product, but the result will not identify which change produced the improvement.\u003C/p>\u003Cp>Adopt a candidate only if it clears every blocking requirement and improves the business metric chosen in advance without exceeding cost, latency or review budgets. A startup might accept a higher run cost when it materially reduces corrections on a valuable workflow, while rejecting a cheaper configuration that increases unauthorized actions. Those thresholds are product decisions, not properties a public leaderboard can supply.\u003C/p>\u003Cp>After release, add verified production failures and meaningful user outcomes to the private suite, with sensitive data removed or appropriately controlled. Re-run it after changes to the model, instructions, tools, memory or policy. Public rankings remain useful discovery evidence; the acceptance test determines whether the complete agent is fit for the startup’s actual work.\u003C/p>\n\n\u003Cp>Also read:\u003C/p>\n\n\u003Cul>\n\t\u003Cli>\u003Ca href=\"/media/what-is-physical-ai-and-how-jeff-bezos-startup-prometheus-aims-to-hack-the-system\">What Is Physical AI and How Jeff Bezos’ Startup Prometheus Aims to “Hack” the System\u003C/a>\u003C/li>\n\t\u003Cli>\u003Ca href=\"/media/sakana-ai-s-fugu-multi-agent-orchestration-as-a-single-model\">Sakana AI’s Fugu: Multi-Agent Orchestration as a Single Model\u003C/a>\u003C/li>\n\t\u003Cli>\u003Ca href=\"/media/volkswagen-enters-the-e-bike-market-with-a-safety-focused-smart-model-but-at-car-like-prices\">Volkswagen Enters the E-Bike Market with a Safety-Focused “Smart” Model — But at Car-Like Prices\u003C/a>\u003C/li>\n\u003C/ul>","public-ai-leaderboards-miss-the-system-around-the-model","2026-08-09T15:31:04.000000Z","2026-08-16T05:00:00.000000Z","16.08.2026",{"image":58,"image_webp":59,"thumb":60,"thumb_webp":61},"https://cdn.quasa.io/images/news/hpKXzlo5tQ7xARuE5WI7EwvkWBzeLoh9Bn9gH5Z0.jpg","https://cdn.quasa.io/images/news/hpKXzlo5tQ7xARuE5WI7EwvkWBzeLoh9Bn9gH5Z0.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/hpKXzlo5tQ7xARuE5WI7EwvkWBzeLoh9Bn9gH5Z0.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/hpKXzlo5tQ7xARuE5WI7EwvkWBzeLoh9Bn9gH5Z0.webp","large",null,5,0,"en",true,{"id":29,"title":30,"slug":31,"meta_title":69,"meta_description":70,"meta_keywords":71,"show_on_homepage":72,"deleted_at":63,"created_at":73,"updated_at":74,"lang":66},"For Newbies: Business, Startups and AI Tools | QUASA","How to start a business, find early investment, choose a direction and use modern AI tools.","for newbies, start a business, investment, AI tools, startup ideas",false,"2021-10-25T14:55:26.000000Z","2026-07-16T20:17:45.000000Z",[],[77,80,93,106,118],{"title":47,"description":48,"slug":53,"created_at":54,"publish_at":55,"first_published_at":55,"updated_at":54,"formatted_created_at":56,"category":78,"links":79,"view_type":62,"video_url":63,"views":64,"likes":65,"lang":66,"comments_count":65,"is_pinned":72},{"title":30,"slug":31},{"image":58,"image_webp":59,"thumb":60,"thumb_webp":61},{"title":81,"description":82,"slug":83,"created_at":84,"publish_at":85,"first_published_at":85,"updated_at":84,"formatted_created_at":56,"category":86,"links":87,"view_type":62,"video_url":63,"views":92,"likes":65,"lang":66,"comments_count":65,"is_pinned":72},"Australia’s AI Jobs Evidence Shows Slowing—not Mass Displacement","Australia’s official monitoring finds slower growth in AI-exposed occupations, but no broad AI-driven job loss. Survey evidence points instead to a workplace training gap.","australia-s-ai-jobs-evidence-shows-slowing-not-mass-displacement","2026-08-09T15:31:03.000000Z","2026-08-16T03:00:00.000000Z",{"title":18,"slug":19},{"image":88,"image_webp":89,"thumb":90,"thumb_webp":91},"https://cdn.quasa.io/images/news/8WcCXfdpkJFhSWQDBXqAkjCqTWU1ZE0BCR5KaEcp.jpg","https://cdn.quasa.io/images/news/8WcCXfdpkJFhSWQDBXqAkjCqTWU1ZE0BCR5KaEcp.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/8WcCXfdpkJFhSWQDBXqAkjCqTWU1ZE0BCR5KaEcp.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/8WcCXfdpkJFhSWQDBXqAkjCqTWU1ZE0BCR5KaEcp.webp",6,{"title":94,"description":95,"slug":96,"created_at":97,"publish_at":98,"first_published_at":98,"updated_at":97,"formatted_created_at":56,"category":99,"links":100,"view_type":62,"video_url":63,"views":105,"likes":65,"lang":66,"comments_count":65,"is_pinned":72},"Your AI Vendor Contract Needs More Than a Privacy Policy","Before an AI pilot becomes infrastructure, put data rights, training limits, measurable performance, incident duties and a workable exit in the vendor contract.","your-ai-vendor-contract-needs-more-than-a-privacy-policy","2026-08-09T15:31:02.000000Z","2026-08-16T01:00:00.000000Z",{"title":30,"slug":31},{"image":101,"image_webp":102,"thumb":103,"thumb_webp":104},"https://cdn.quasa.io/images/news/HqZ2XckfJpZ4t6W4EpTRPw1VCveW5QwGSqfMzHFd.jpg","https://cdn.quasa.io/images/news/HqZ2XckfJpZ4t6W4EpTRPw1VCveW5QwGSqfMzHFd.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/HqZ2XckfJpZ4t6W4EpTRPw1VCveW5QwGSqfMzHFd.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/HqZ2XckfJpZ4t6W4EpTRPw1VCveW5QwGSqfMzHFd.webp",3,{"title":107,"description":108,"slug":109,"created_at":110,"publish_at":111,"first_published_at":111,"updated_at":110,"formatted_created_at":56,"category":112,"links":113,"view_type":62,"video_url":63,"views":64,"likes":65,"lang":66,"comments_count":65,"is_pinned":72},"Hadrian Raises $1.37B as Defense Manufacturing Becomes a Scale Race","Hadrian raised $1.37 billion at a valuation just below $8 billion. An Army award documents real demand, but the company’s broader factory expansion remains an execution test.","hadrian-raises-1-37b-as-defense-manufacturing-becomes-a-scale-race","2026-08-09T15:47:12.000000Z","2026-08-16T00:30:00.000000Z",{"title":40,"slug":41},{"image":114,"image_webp":115,"thumb":116,"thumb_webp":117},"https://cdn.quasa.io/images/news/zumKCyQL6sVZHEuFQKYWIjVT1ikSIZiVSD2hnbJR.jpg","https://cdn.quasa.io/images/news/zumKCyQL6sVZHEuFQKYWIjVT1ikSIZiVSD2hnbJR.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/zumKCyQL6sVZHEuFQKYWIjVT1ikSIZiVSD2hnbJR.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/zumKCyQL6sVZHEuFQKYWIjVT1ikSIZiVSD2hnbJR.webp",{"title":119,"description":120,"slug":121,"created_at":122,"publish_at":123,"first_published_at":123,"updated_at":122,"formatted_created_at":124,"category":125,"links":126,"view_type":62,"video_url":63,"views":64,"likes":65,"lang":66,"comments_count":65,"is_pinned":72},"AMD’s Data-Center Revenue Doubles—and Now Supplies 58% of Sales","AMD’s August 4 results show quarterly revenue of $11.536 billion, with Data Center sales more than doubling to $6.718 billion and supplying 58% of the total.","amd-s-data-center-revenue-doubles-and-now-supplies-58-of-sales","2026-08-09T15:47:11.000000Z","2026-08-15T23:30:00.000000Z","15.08.2026",{"title":40,"slug":41},{"image":127,"image_webp":128,"thumb":129,"thumb_webp":130},"https://cdn.quasa.io/images/news/IAs19BpVYN6D7XJuMsQs3PQwZ5oQaR2EIq6bf1pO.jpg","https://cdn.quasa.io/images/news/IAs19BpVYN6D7XJuMsQs3PQwZ5oQaR2EIq6bf1pO.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/IAs19BpVYN6D7XJuMsQs3PQwZ5oQaR2EIq6bf1pO.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/IAs19BpVYN6D7XJuMsQs3PQwZ5oQaR2EIq6bf1pO.webp",[132,148,161,179,194],{"title":133,"description":134,"slug":135,"created_at":136,"publish_at":137,"first_published_at":137,"updated_at":138,"formatted_created_at":139,"category":140,"links":141,"view_type":62,"video_url":63,"views":146,"likes":147,"lang":66,"comments_count":65,"is_pinned":72},"Advertising on QUASA","Quasa Media is part of the QUASA ecosystem, which drives more than 100,000 new customers to reputable brands every month.\nWe partner with businesses of all sizes to deliver highly targeted advertising that reaches motivated users across our platforms.","advertising-on-quasa","2022-07-06T07:33:02.000000Z","2026-05-15T14:33:02.000000Z","2026-08-14T12:24:08.000000Z","15.05.2026",{"title":33,"slug":38},{"image":142,"image_webp":143,"thumb":144,"thumb_webp":145},"https://cdn.quasa.io/images/news/W7eArlQV3VogkOkJhIxdXCkL0VjAIwKvxZ1AuyBU.jpg","https://cdn.quasa.io/images/news/W7eArlQV3VogkOkJhIxdXCkL0VjAIwKvxZ1AuyBU.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/W7eArlQV3VogkOkJhIxdXCkL0VjAIwKvxZ1AuyBU.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/W7eArlQV3VogkOkJhIxdXCkL0VjAIwKvxZ1AuyBU.webp",84896,49,{"title":149,"description":150,"slug":151,"created_at":152,"publish_at":153,"first_published_at":153,"updated_at":154,"formatted_created_at":155,"category":156,"links":157,"view_type":62,"video_url":63,"views":160,"likes":65,"lang":66,"comments_count":65,"is_pinned":72},"Five Checks That Matter More Than a High Upholstery Abrasion Rating","A high abrasion rating cannot establish whether commercial upholstery is suitable. Check the test method, fire compliance, appearance retention, construction and cleaning compatibility.","5-things-to-check-when-choosing-commercial-fabrics-for-upholstery","2021-12-13T20:33:33.000000Z","2024-01-23T09:56:00.000000Z","2026-08-14T13:31:17.000000Z","23.01.2024",{"title":40,"slug":41},{"image":158,"image_webp":63,"thumb":159,"thumb_webp":159},"https://cdn.quasa.io/images/news/LkhtE7o5QGYAqJmbMi8hLmr1lvZ0OKn6r0qRlk52.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/LkhtE7o5QGYAqJmbMi8hLmr1lvZ0OKn6r0qRlk52.webp",55670,{"title":162,"description":163,"slug":164,"created_at":165,"publish_at":166,"first_published_at":166,"updated_at":167,"formatted_created_at":168,"category":169,"links":170,"view_type":175,"video_url":63,"views":176,"likes":177,"lang":66,"comments_count":178,"is_pinned":72},"More Views Aren’t a Revenue Plan: 5 Moves for Content Creators","Creators can earn more by pairing platform reach with direct offers, recurring revenue and disciplined pricing. 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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":233,"meta_description":234,"meta_keywords":235,"show_on_homepage":67,"deleted_at":63,"created_at":236,"updated_at":74,"lang":66},"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":238,"image_webp":239,"thumb":240,"thumb_webp":241},"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",9256,{"id":244,"order":65,"created_at":245,"expired_at":246,"news_id":247,"post":248},86,"2026-06-07T14:36:10.000000Z","2029-06-07 14:35:45",4545,{"id":247,"title":133,"description":134,"slug":135,"created_at":136,"publish_at":137,"formatted_created_at":139,"category":249,"links":250,"view_type":62,"video_url":63,"views":146,"likes":147,"lang":66,"comments_count":63},{"id":37,"title":33,"slug":38,"meta_title":233,"meta_description":234,"meta_keywords":235,"show_on_homepage":67,"deleted_at":63,"created_at":236,"updated_at":74,"lang":66},{"image":142,"image_webp":143,"thumb":144,"thumb_webp":145},{"id":252,"order":178,"created_at":253,"expired_at":254,"news_id":255,"post":256},92,"2026-06-07T15:05:49.000000Z","2033-06-07 15:05:26",13757,{"id":255,"title":257,"description":258,"slug":259,"created_at":260,"publish_at":261,"formatted_created_at":262,"category":263,"links":268,"view_type":175,"video_url":63,"views":273,"likes":105,"lang":66,"comments_count":63},"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":264,"meta_description":265,"meta_keywords":266,"show_on_homepage":72,"deleted_at":63,"created_at":267,"updated_at":74,"lang":66},"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":269,"image_webp":270,"thumb":271,"thumb_webp":272},"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",7919,{"id":275,"order":276,"created_at":277,"expired_at":278,"news_id":279,"post":280},89,2,"2026-06-07T14:54:22.000000Z","2030-06-07 14:54:10",14533,{"id":279,"title":281,"description":282,"slug":283,"created_at":284,"publish_at":285,"formatted_created_at":286,"category":287,"links":288,"view_type":175,"video_url":63,"views":293,"likes":105,"lang":66,"comments_count":63},"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":233,"meta_description":234,"meta_keywords":235,"show_on_homepage":67,"deleted_at":63,"created_at":236,"updated_at":74,"lang":66},{"image":289,"image_webp":290,"thumb":291,"thumb_webp":292},"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",6011,{"id":295,"order":105,"created_at":296,"expired_at":297,"news_id":298,"post":299},90,"2026-06-07T14:56:33.000000Z","2030-06-07 14:56:17",14531,{"id":298,"title":300,"description":301,"slug":302,"created_at":303,"publish_at":304,"formatted_created_at":286,"category":305,"links":306,"view_type":175,"video_url":63,"views":311,"likes":105,"lang":66,"comments_count":63},"Quasa Rewards: The World’s First and Only Crypto Platform for Earning by Surfing Websites","If you’re looking for the easiest and smartest way to start earning crypto online, Quasa Rewards is the clear choice.","quasa-rewards-the-world-s-first-and-only-crypto-platform-for-earning-by-surfing-websites","2026-05-16T16:17:13.000000Z","2026-05-17T14:01:00.000000Z",{"id":37,"title":33,"slug":38,"meta_title":233,"meta_description":234,"meta_keywords":235,"show_on_homepage":67,"deleted_at":63,"created_at":236,"updated_at":74,"lang":66},{"image":307,"image_webp":308,"thumb":309,"thumb_webp":310},"https://cdn.quasa.io/images/news/ES2wTuQRXXbpqrqE49nXtNegIQZi6ECYODo1Jpd9.jpg","https://cdn.quasa.io/images/news/ES2wTuQRXXbpqrqE49nXtNegIQZi6ECYODo1Jpd9.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/ES2wTuQRXXbpqrqE49nXtNegIQZi6ECYODo1Jpd9.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/ES2wTuQRXXbpqrqE49nXtNegIQZi6ECYODo1Jpd9.webp",1134,{"id":313,"order":105,"created_at":314,"expired_at":315,"news_id":298,"post":316},94,"2026-06-07T16:58:25.000000Z","2033-06-07 16:58:13",{"id":298,"title":300,"description":301,"slug":302,"created_at":303,"publish_at":304,"formatted_created_at":286,"category":317,"links":318,"view_type":175,"video_url":63,"views":311,"likes":105,"lang":66,"comments_count":63},{"id":37,"title":33,"slug":38,"meta_title":233,"meta_description":234,"meta_keywords":235,"show_on_homepage":67,"deleted_at":63,"created_at":236,"updated_at":74,"lang":66},{"image":307,"image_webp":308,"thumb":309,"thumb_webp":310}]