[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"nav-categories":3,"article-openai-s-gpt-red-how-ai-models-are-now-training-each-other-to-be-more-secure":45,"article-ads":216},{"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":72,"popular_news":136,"categories":207},{"title":47,"description":48,"meta_title":47,"meta_description":49,"meta_keywords":50,"text":51,"slug":52,"created_at":53,"publish_at":53,"formatted_created_at":54,"category_id":10,"links":55,"view_type":60,"video_url":61,"views":62,"likes":63,"lang":64,"comments_count":63,"category":65},"OpenAI’s GPT-Red: How AI Models Are Now Training Each Other to Be More Secure","OpenAI has unveiled a groundbreaking internal project called GPT-Red — an automated red-teaming model that uses self-play to discover and patch vulnerabilities in other AI systems at a scale humans simply cannot match.","OpenAI has indicated it will continue scaling compute, data, and algorithms dedicated to GPT-Red, with more technical details expected in an upcoming research paper.","As AI agents become more autonomous and integrated into real-world workflows, the attack surface will only grow.","\u003Cp>OpenAI has unveiled a groundbreaking internal project called \u003Cstrong>GPT-Red\u003C/strong> — an automated red-teaming model that uses self-play to discover and patch vulnerabilities in other AI systems at a scale humans simply cannot match.\u003C/p>\n\n\u003Cp>The announcement, published on July 15, 2026, represents a major shift in AI safety: instead of relying solely on human experts to hunt for weaknesses, OpenAI is now pitting one powerful model against others in an adversarial loop that continuously strengthens defenses.\u003C/p>\n\n\u003Chr />\n\u003Ch4>\u003Cstrong>Why Human Red Teaming Isn’t Enough Anymore\u003C/strong>\u003C/h4>\n\n\u003Cp>\u003Cpicture>\u003Csource srcset=\"https://cdn.quasa.io/photos/0001/image-2026-07-21t093637639.webp\" type=\"image/webp\">\u003Cimg alt=\"OpenAI’s GPT-Red: How AI Models Are Now Training Each Other to Be More Secure\" class=\"image-align-right\" height=\"223\" src=\"https://cdn.quasa.io/photos/0001/image-2026-07-21t093637639.jpg\" width=\"150\" />\u003C/picture>Red teaming — the practice of deliberately trying to break AI systems to find flaws — has long been a cornerstone of responsible AI development. Human experts excel at creative, high-impact attacks, but they face a fundamental limitation: \u003Cstrong>scalability\u003C/strong>.\u003C/p>\n\n\u003Cp>Modern AI agents interact with tools, browsers, files, emails, connected applications, and external APIs. Each new capability multiplies the number of potential attack surfaces, especially around \u003Cstrong>prompt injection\u003C/strong>, data exfiltration, and unauthorized actions. Generating thousands of novel, realistic attack scenarios for every new model or agentic workflow is becoming impossible for human teams alone.\u003C/p>\n\n\u003Cp>OpenAI recognized this bottleneck and decided to solve it by training an AI attacker.\u003C/p>\n\n\u003Chr />\n\u003Ch4>\u003Cstrong>What Is GPT-Red?\u003C/strong>\u003C/h4>\n\n\u003Cp>\u003Cstrong>\u003Cpicture>\u003Csource srcset=\"https://cdn.quasa.io/photos/0001/image-2026-07-21t093639655.webp\" type=\"image/webp\">\u003Cimg alt=\"OpenAI’s GPT-Red: How AI Models Are Now Training Each Other to Be More Secure\" class=\"image-align-left\" height=\"447\" src=\"https://cdn.quasa.io/photos/0001/image-2026-07-21t093639655.jpg\" width=\"300\" />\u003C/picture>GPT-Red\u003C/strong> is a specialized internal model trained specifically to act as a relentless red teamer.\u003C/p>\n\n\u003Cp>\u003Cstrong>It is designed to:\u003C/strong>\u003C/p>\n\n\u003Cul>\n\t\u003Cli>Craft sophisticated prompt injections;\u003C/li>\n\t\u003Cli>Discover bypasses and jailbreaks;\u003C/li>\n\t\u003Cli>Exploit leaks through tools, browsers, files, and integrated applications;\u003C/li>\n\t\u003Cli>Iterate on failed attempts by observing the target model’s responses and refining its strategy in real time.\u003C/li>\n\u003C/ul>\n\n\u003Cp>The training uses \u003Cstrong>self-play reinforcement learning\u003C/strong>. GPT-Red (the attacker) is rewarded when it successfully elicits failures from a diverse set of defender models. At the same time, the defender models are rewarded for resisting attacks while still completing their intended tasks.\u003C/p>\n\n\u003Cp>As the defenders improve, GPT-Red is forced to discover stronger, more creative attacks — creating a virtuous cycle of mutual improvement.\u003C/p>\n\n\u003Cp>This is essentially \u003Cstrong>self-play for safety\u003C/strong>, mirroring the approach that has driven rapid progress in AI capabilities, but applied to robustness instead.\u003C/p>\n\n\u003Chr />\n\u003Ch4>\u003Cstrong>Impressive Results\u003C/strong>\u003C/h4>\n\n\u003Cp>The numbers speak for themselves.\u003C/p>\n\n\u003Cp>\u003Cstrong>\u003Cpicture>\u003Csource srcset=\"https://cdn.quasa.io/photos/0001/image-2026-07-21t093644239.webp\" type=\"image/webp\">\u003Cimg alt=\"OpenAI’s GPT-Red: How AI Models Are Now Training Each Other to Be More Secure\" class=\"image-align-right\" height=\"447\" src=\"https://cdn.quasa.io/photos/0001/image-2026-07-21t093644239.jpg\" width=\"300\" />\u003C/picture>In one key evaluation replicating an indirect prompt injection benchmark:\u003C/strong>\u003C/p>\n\n\u003Cul>\n\t\u003Cli>\u003Cstrong>GPT-Red\u003C/strong> achieved a \u003Cstrong>84%\u003C/strong> success rate against GPT-5.1;\u003C/li>\n\t\u003Cli>Human red-teamers achieved only \u003Cstrong>13%\u003C/strong> success in the same scenarios.\u003C/li>\n\u003C/ul>\n\n\u003Cp>When these adversarial examples generated by GPT-Red were used to train the next model — \u003Cstrong>GPT-5.6 Sol\u003C/strong> — the improvements were dramatic:\u003C/p>\n\n\u003Cul>\n\t\u003Cli>GPT-5.6 Sol showed \u003Cstrong>6× fewer failures\u003C/strong> on the hardest direct prompt injection benchmark compared to the best production model from just four months earlier.\u003C/li>\n\t\u003Cli>On GPT-Red’s own strongest attacks (which the model had never seen during training), GPT-5.6 Sol failed on only \u003Cstrong>0.05%\u003C/strong> of direct prompt injections.\u003C/li>\n\t\u003Cli>Novel attack techniques discovered by GPT-Red, such as “Fake Chain-of-Thought,” dropped from \u003Cstrong>95%\u003C/strong> success on GPT-5.1 to \u003Cstrong>below 10%\u003C/strong> on GPT-5.6 Sol.\u003C/li>\n\u003C/ul>\n\n\u003Cp>Indirect prompt injection benchmarks in developer tools and browsing environments are now saturated at over \u003Cstrong>97%\u003C/strong> robustness in the latest models.\u003C/p>\n\n\u003Cp>Real-world examples include GPT-Red successfully compromising a live autonomous vending machine agent (changing prices and placing fraudulent orders) and outperforming even strong prompted baselines in data exfiltration scenarios against coding agents.\u003C/p>\n\n\u003Chr />\n\u003Ch4>\u003Cstrong>Why GPT-Red Remains Internal\u003C/strong>\u003C/h4>\n\n\u003Cp>\u003Cstrong>\u003Cpicture>\u003Csource srcset=\"https://cdn.quasa.io/photos/0001/image-2026-07-21t093642372.webp\" type=\"image/webp\">\u003Cimg alt=\"OpenAI’s GPT-Red: How AI Models Are Now Training Each Other to Be More Secure\" class=\"image-align-left\" height=\"201\" src=\"https://cdn.quasa.io/photos/0001/image-2026-07-21t093642372.jpg\" width=\"300\" />\u003C/picture>\u003C/strong>GPT-Red is \u003Cstrong>not\u003C/strong> being released as a product or API. It is kept strictly internal because it has been deliberately trained on harmful and adversarial scenarios. Releasing such a model publicly could provide malicious actors with a powerful tool for attacking other AI systems.\u003C/p>\n\n\u003Cp>Instead, OpenAI uses GPT-Red internally to generate high-quality adversarial training data, surface new failure modes early, and harden production models before they reach users. It complements — rather than replaces — human red teaming, third-party evaluations, and ongoing monitoring.\u003C/p>\n\n\u003Chr />\n\u003Ch4>\u003Cstrong>A New Flywheel for AI Safety\u003C/strong>\u003C/h4>\n\n\u003Cp>\u003Cstrong>\u003Cpicture>\u003Csource srcset=\"https://cdn.quasa.io/photos/0001/image-2026-07-21t093646191.webp\" type=\"image/webp\">\u003Cimg alt=\"OpenAI’s GPT-Red: How AI Models Are Now Training Each Other to Be More Secure\" class=\"image-align-right\" height=\"298\" src=\"https://cdn.quasa.io/photos/0001/image-2026-07-21t093646191.jpg\" width=\"200\" />\u003C/picture>OpenAI frames GPT-Red as the beginning of a powerful new dynamic:\u003C/strong>\u003C/p>\n\n\u003Cp>\u003Cem>“AI agents are already being used to improve the capabilities of our next-generation models. We believe with GPT-Red that we have started to unlock a similar flywheel for safety.”\u003C/em>\u003C/p>\n\n\u003Cp>Just as capability training creates stronger models that then help train even stronger models, safety training is now entering a similar self-reinforcing loop. Stronger red-teamers uncover more vulnerabilities → better defenses are built → even stronger red-teamers are needed → and the cycle continues.\u003C/p>\n\n\u003Cp>This approach doesn’t eliminate the need for human oversight or external scrutiny. But it dramatically increases the volume, diversity, and difficulty of attacks that models must withstand before deployment.\u003C/p>\n\n\u003Chr />\n\u003Ch4>\u003Cstrong>Looking Ahead\u003C/strong>\u003C/h4>\n\n\u003Cp>\u003Cpicture>\u003Csource srcset=\"https://cdn.quasa.io/photos/0001/image-2026-07-21t093648242.webp\" type=\"image/webp\">\u003Cimg alt=\"OpenAI’s GPT-Red: How AI Models Are Now Training Each Other to Be More Secure\" class=\"image-align-left\" height=\"201\" src=\"https://cdn.quasa.io/photos/0001/image-2026-07-21t093648242.jpg\" width=\"300\" />\u003C/picture>As AI agents become more autonomous and integrated into real-world workflows, the attack surface will only grow. Automated red teaming systems like GPT-Red offer a scalable way to stay ahead of threats.\u003C/p>\n\n\u003Cp>OpenAI has indicated it will continue scaling compute, data, and algorithms dedicated to GPT-Red, with more technical details expected in an upcoming research paper.\u003C/p>\n\n\u003Cp>The era of models actively helping to secure each other has begun. And if the early results with GPT-5.6 Sol are any indication, this self-improving safety loop could become one of the most important developments in responsible AI development. \u003C/p>\n\n\u003Cp>\u003Cstrong>Source\u003C/strong>: \u003Ca href=\"https://openai.com/index/unlocking-self-improvement-gpt-red/\">OpenAI Blog – “GPT-Red: Unlocking Self-Improvement for Robustness” (July 15, 2026)\u003C/a>\u003C/p>\n\n\u003Cp>---\u003C/p>\n\n\u003Cp>Also read:\u003C/p>\n\n\u003Cul>\n\t\u003Cli>\u003Ca href=\"https://quasa.io/media/vlms-can-already-hunt-for-the-interesting-but-they-re-still-bad-at-walking-away-from-what-they-ve-found\">VLMs Can Already Hunt for the “Interesting.” But They’re Still Bad at Walking Away from What They’ve Found\u003C/a>\u003C/li>\n\t\u003Cli>\u003Ca href=\"https://quasa.io/media/how-giant-ipos-affect-the-public-markets-jp-morgan-s-take-on-the-historic-2026-wave\">How Giant IPOs Affect the Public Markets: JP Morgan’s Take on the Historic 2026 Wave\u003C/a>\u003C/li>\n\t\u003Cli>\u003Ca href=\"https://quasa.io/media/sysdig-details-first-fully-agentic-ai-ransomware-operation-jadepuffer\">Sysdig Details First Fully Agentic AI Ransomware Operation JadePuffer\u003C/a>\u003C/li>\n\t\u003Cli>\u003Ca href=\"https://quasa.io/media/july-2026-windows-server-security-updates-key-deployment-steps\">July 2026 Windows Server Security Updates: Key Deployment Steps\u003C/a>\u003C/li>\n\t\u003Cli>\u003Ca href=\"https://quasa.io/media/netflix-reports-viewership-declines-for-returning-series-in-2026\">Netflix Reports Viewership Declines for Returning Series in 2026\u003C/a>\u003C/li>\n\u003C/ul>\n\n\u003Cp>---\u003C/p>\n\n\u003Cp>Thank you!\u003C/p>","openai-s-gpt-red-how-ai-models-are-now-training-each-other-to-be-more-secure","2026-07-21T07:41:24.000000Z","21.07.2026",{"image":56,"image_webp":57,"thumb":58,"thumb_webp":59},"https://cdn.quasa.io/images/news/3DL3wLzwOl5lV6Fpw5xAIn8F4TQKX129Yua258dL.jpg","https://cdn.quasa.io/images/news/3DL3wLzwOl5lV6Fpw5xAIn8F4TQKX129Yua258dL.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/3DL3wLzwOl5lV6Fpw5xAIn8F4TQKX129Yua258dL.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/3DL3wLzwOl5lV6Fpw5xAIn8F4TQKX129Yua258dL.webp","small",null,55,0,"en",{"id":10,"title":6,"slug":11,"meta_title":66,"meta_description":67,"meta_keywords":68,"show_on_homepage":69,"deleted_at":61,"created_at":70,"updated_at":71,"lang":64},"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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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":40,"slug":41},{"image":161,"image_webp":61,"thumb":162,"thumb_webp":162},"https://cdn.quasa.io/images/news/mVsXPTMuHZuI7UXCsENgL1Qwp1uSOf7Rz3uVPMfm.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/mVsXPTMuHZuI7UXCsENgL1Qwp1uSOf7Rz3uVPMfm.webp",81773,4,{"title":166,"description":167,"slug":168,"created_at":169,"publish_at":170,"formatted_created_at":171,"category":172,"links":173,"view_type":60,"video_url":61,"views":176,"likes":177,"lang":64,"comments_count":63,"is_pinned":87},"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":174,"image_webp":61,"thumb":175,"thumb_webp":175},"https://cdn.quasa.io/images/news/EOsQhSW3VXyG7a6NPdE1oZd00xfJXe3bjY5aJGb7.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/EOsQhSW3VXyG7a6NPdE1oZd00xfJXe3bjY5aJGb7.webp",80085,7,{"title":179,"description":180,"slug":181,"created_at":182,"publish_at":183,"formatted_created_at":184,"category":185,"links":186,"view_type":60,"video_url":61,"views":191,"likes":164,"lang":64,"comments_count":192,"is_pinned":87},"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":187,"image_webp":188,"thumb":189,"thumb_webp":190},"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",49714,1,{"title":194,"description":195,"slug":196,"created_at":197,"publish_at":198,"formatted_created_at":199,"category":200,"links":201,"view_type":85,"video_url":61,"views":206,"likes":164,"lang":64,"comments_count":63,"is_pinned":87},"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":202,"image_webp":203,"thumb":204,"thumb_webp":205},"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",47870,[208,209,210,211,212,213,214,215],{"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":217},[218,242,250,262,286,304,323],{"id":219,"order":63,"created_at":220,"expired_at":221,"news_id":222,"post":223},81,"2025-10-19T20:19:39.000000Z","2026-10-19 20:19:16",12864,{"id":222,"title":224,"description":225,"slug":226,"created_at":227,"publish_at":228,"formatted_created_at":229,"category":230,"links":235,"view_type":85,"video_url":61,"views":240,"likes":241,"lang":64,"comments_count":61},"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":231,"meta_description":232,"meta_keywords":233,"show_on_homepage":69,"deleted_at":61,"created_at":234,"updated_at":71,"lang":64},"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":236,"image_webp":237,"thumb":238,"thumb_webp":239},"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",7873,3,{"id":243,"order":63,"created_at":244,"expired_at":245,"news_id":246,"post":247},86,"2026-06-07T14:36:10.000000Z","2029-06-07 14:35:45",4545,{"id":246,"title":138,"description":139,"slug":140,"created_at":141,"publish_at":142,"formatted_created_at":143,"category":248,"links":249,"view_type":85,"video_url":61,"views":150,"likes":151,"lang":64,"comments_count":61},{"id":37,"title":33,"slug":38,"meta_title":231,"meta_description":232,"meta_keywords":233,"show_on_homepage":69,"deleted_at":61,"created_at":234,"updated_at":71,"lang":64},{"image":146,"image_webp":147,"thumb":148,"thumb_webp":149},{"id":251,"order":63,"created_at":252,"expired_at":253,"news_id":254,"post":255},87,"2026-06-07T14:46:09.000000Z","2031-06-07 14:45:52",1229,{"id":254,"title":166,"description":167,"slug":168,"created_at":169,"publish_at":170,"formatted_created_at":171,"category":256,"links":261,"view_type":60,"video_url":61,"views":176,"likes":177,"lang":64,"comments_count":61},{"id":44,"title":40,"slug":41,"meta_title":257,"meta_description":258,"meta_keywords":259,"show_on_homepage":69,"deleted_at":61,"created_at":260,"updated_at":71,"lang":64},"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":174,"image_webp":61,"thumb":175,"thumb_webp":175},{"id":263,"order":192,"created_at":264,"expired_at":265,"news_id":266,"post":267},92,"2026-06-07T15:05:49.000000Z","2033-06-07 15:05:26",13757,{"id":266,"title":268,"description":269,"slug":270,"created_at":271,"publish_at":272,"formatted_created_at":273,"category":274,"links":279,"view_type":60,"video_url":61,"views":284,"likes":285,"lang":64,"comments_count":61},"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":275,"meta_description":276,"meta_keywords":277,"show_on_homepage":87,"deleted_at":61,"created_at":278,"updated_at":71,"lang":64},"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":280,"image_webp":281,"thumb":282,"thumb_webp":283},"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",6534,2,{"id":287,"order":285,"created_at":288,"expired_at":289,"news_id":241,"post":290},82,"2025-10-19T20:23:19.000000Z","2026-10-19 20:23:00",{"id":241,"title":291,"description":292,"slug":293,"created_at":294,"publish_at":295,"formatted_created_at":296,"category":297,"links":298,"view_type":85,"video_url":61,"views":303,"likes":192,"lang":64,"comments_count":61},"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":231,"meta_description":232,"meta_keywords":233,"show_on_homepage":69,"deleted_at":61,"created_at":234,"updated_at":71,"lang":64},{"image":299,"image_webp":300,"thumb":301,"thumb_webp":302},"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",7272,{"id":305,"order":285,"created_at":306,"expired_at":307,"news_id":308,"post":309},89,"2026-06-07T14:54:22.000000Z","2030-06-07 14:54:10",14533,{"id":308,"title":310,"description":311,"slug":312,"created_at":313,"publish_at":314,"formatted_created_at":315,"category":316,"links":317,"view_type":60,"video_url":61,"views":322,"likes":285,"lang":64,"comments_count":61},"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":231,"meta_description":232,"meta_keywords":233,"show_on_homepage":69,"deleted_at":61,"created_at":234,"updated_at":71,"lang":64},{"image":318,"image_webp":319,"thumb":320,"thumb_webp":321},"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",4771,{"id":324,"order":241,"created_at":325,"expired_at":326,"news_id":327,"post":328},83,"2025-10-19T20:28:22.000000Z","2026-10-19 20:28:07",12458,{"id":327,"title":329,"description":330,"slug":331,"created_at":332,"publish_at":333,"formatted_created_at":334,"category":335,"links":336,"view_type":60,"video_url":61,"views":341,"likes":63,"lang":64,"comments_count":61},"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":231,"meta_description":232,"meta_keywords":233,"show_on_homepage":69,"deleted_at":61,"created_at":234,"updated_at":71,"lang":64},{"image":337,"image_webp":338,"thumb":339,"thumb_webp":340},"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",3063]