[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"nav-categories":3,"article-zyphra-releases-zaya1-8b-a-sub-1b-active-parameter-moe-model-that-outperforms-much-larger-rivals":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":96,"popular_news":153,"categories":225},{"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":69,"likes":88,"lang":89,"comments_count":88,"category":90},"Zyphra Releases ZAYA1-8B: A Sub-1B Active Parameter MoE Model That Outperforms Much Larger Rivals","Zyphra, the San Francisco-based AI startup, has just dropped one of the most impressive small-model releases of 2026.","Zyphra, the San Francisco-based AI startup, has just dropped one of the most impressive small-model releases of 2026","The era of tiny-but-mighty models is here — and Zyphra just fired the starting gun.","\u003Cp>Zyphra, the San Francisco-based AI startup, has just dropped one of the most impressive small-model releases of 2026. On May 6, \u003Ca href=\"https://www.zyphra.com/post/zaya1-8b\">the company unveiled \u003Cstrong>ZAYA1-8B\u003C/strong>\u003C/a> — a Mixture-of-Experts (MoE) language model with \u003Cstrong>under 1 billion active parameters\u003C/strong> (precisely ~760M active out of ~8B total) that delivers frontier-level performance on mathematics, coding, and complex reasoning tasks.\u003C/p>\n\n\u003Cp>Despite its tiny active-parameter footprint, ZAYA1-8B doesn’t just compete with larger open-weight models — it beats many of them and even edges out proprietary frontier systems on select benchmarks when leveraging its novel test-time compute technique.\u003C/p>\n\n\u003Chr />\n\u003Ch4>\u003Cstrong>A Full-Stack Bet on Intelligence Density\u003C/strong>\u003C/h4>\n\n\u003Cp>ZAYA1-8B isn’t just another distilled or quantized model.\u003C/p>\n\n\u003Cp>\u003Cstrong>\u003Cpicture>\u003Csource srcset=\"https://cdn.quasa.io/photos/0001/photo_2026-05-11_19-43-57.webp\" type=\"image/webp\">\u003Cimg alt=\"Zyphra Releases ZAYA1-8B: A Sub-1B Active Parameter MoE Model That Outperforms Much Larger Rivals\" class=\"image-align-right\" height=\"169\" src=\"https://cdn.quasa.io/photos/0001/photo_2026-05-11_19-43-57.jpg\" width=\"300\" />\u003C/picture>It’s the result of an ambitious end-to-end stack built from the ground up:\u003C/strong>\u003C/p>\n\n\u003Cul>\n\t\u003Cli>\u003Cstrong>MoE++ Architecture\u003C/strong> featuring \u003Cstrong>Compressed Convolutional Attention (CCA)\u003C/strong> — a far more efficient attention mechanism than standard transformers.\u003C/li>\n\t\u003Cli>A brand-new \u003Cstrong>MLP-based router\u003C/strong> that provides significantly more stable expert selection than traditional linear routers.\u003C/li>\n\t\u003Cli>\u003Cstrong>Learned residual scaling\u003C/strong> — a lightweight trick that controls residual-norm growth across depth with almost zero extra cost.\u003C/li>\n\u003C/ul>\n\n\u003Cp>The entire model was \u003Cstrong>pretrained, midtrained, and post-trained exclusively on AMD Instinct MI300X hardware\u003C/strong> — a cluster of 1,024 MI300X nodes connected via AMD Pensando Pollara networking on IBM Cloud infrastructure. No NVIDIA GPUs were used at any stage. In an industry still heavily dominated by “NVIDIA or nothing” thinking, this is a quietly political statement: serious frontier training is now possible on AMD silicon.\u003C/p>\n\n\u003Chr />\n\u003Ch4>\u003Cstrong>Post-Training Pipeline That Packs a Punch\u003C/strong>\u003C/h4>\n\n\u003Cp>\u003Cpicture>\u003Csource srcset=\"https://cdn.quasa.io/photos/0001/image-2026-05-11t195439318.webp\" type=\"image/webp\">\u003Cimg alt=\"Zyphra Releases ZAYA1-8B: A Sub-1B Active Parameter MoE Model That Outperforms Much Larger Rivals\" class=\"image-align-left\" height=\"402\" src=\"https://cdn.quasa.io/photos/0001/image-2026-05-11t195439318.jpg\" width=\"270\" />\u003C/picture>The real magic happened during post-training.\u003C/p>\n\n\u003Cp>\u003Cstrong>Zyphra ran a five-stage pipeline:\u003C/strong>\u003C/p>\n\n\u003Col>\n\t\u003Cli>Supervised Fine-Tuning (SFT) focused on chat, instruction following, code, math, and test-time compute skills.\u003C/li>\n\t\u003Cli>\u003Cstrong>Reasoning Warmup\u003C/strong> — blending math, logic, and puzzles with early test-time compute prompts.\u003C/li>\n\t\u003Cli>Large-scale \u003Cstrong>RLVE-Gym\u003C/strong> with dynamically scaled puzzle difficulty.\u003C/li>\n\t\u003Cli>Dedicated \u003Cstrong>Math & Code Reinforcement Learning\u003C/strong>.\u003C/li>\n\t\u003Cli>Lightweight \u003Cstrong>RLHF/RLAIF\u003C/strong> for polish and behavior.\u003C/li>\n\u003C/ol>\n\n\u003Cp>This heavy emphasis on reasoning circuits paid off: the model shows massive gains in verifiable domains (math and code) while still delivering strong instruction-following and general capabilities.\u003C/p>\n\n\u003Chr />\n\u003Ch4>\u003Cstrong>The Star Innovation: Markovian RSA Test-Time Compute\u003C/strong>\u003C/h4>\n\n\u003Cp>\u003Cpicture>\u003Csource srcset=\"https://cdn.quasa.io/photos/0001/image-2026-05-11t195441817.webp\" type=\"image/webp\">\u003Cimg alt=\"Zyphra Releases ZAYA1-8B: A Sub-1B Active Parameter MoE Model That Outperforms Much Larger Rivals\" class=\"image-align-right\" height=\"372\" src=\"https://cdn.quasa.io/photos/0001/image-2026-05-11t195441817.jpg\" width=\"250\" />\u003C/picture>The most intriguing part of ZAYA1-8B is its \u003Cstrong>Markovian RSA\u003C/strong> method — a new test-time compute (TTC) technique that combines two powerful ideas:\u003C/p>\n\n\u003Cul>\n\t\u003Cli>Parallel generation of multiple reasoning traces (inspired by RSA).\u003C/li>\n\t\u003Cli>\u003Cstrong>Markovian chunking\u003C/strong> — the model recursively aggregates the best parts of previous traces in fixed-length “chunks,” keeping only the tail of the previous reasoning step. This allows essentially unlimited reasoning depth without exploding the context window.\u003C/li>\n\u003C/ul>\n\n\u003Cp>\u003Ca href=\"https://venturebeat.com/technology/meet-zaya1-8b-a-super-efficient-open-reasoning-model-trained-on-amd-instinct-mi300-gpus\">Trained into the model from SFT onward and reinforced during RL, Markovian RSA turns the small model into a reasoning powerhouse\u003C/a>. With a modest 40k-token budget it already approaches much larger models; at “extra-high” compute (5.5M tokens per problem) it surpasses DeepSeek-V3.2 and GPT-OSS-120B High on the challenging APEX-shortlist mathematics benchmark.\u003C/p>\n\n\u003Chr />\n\u003Ch4>\u003Cstrong>Benchmark Highlights\u003C/strong>\u003C/h4>\n\n\u003Cp>\u003Cstrong>\u003Cpicture>\u003Csource srcset=\"https://cdn.quasa.io/photos/0001/image-2026-05-11t195444743.webp\" type=\"image/webp\">\u003Cimg alt=\"Zyphra Releases ZAYA1-8B: A Sub-1B Active Parameter MoE Model That Outperforms Much Larger Rivals\" class=\"image-align-left\" height=\"298\" src=\"https://cdn.quasa.io/photos/0001/image-2026-05-11t195444743.jpg\" width=\"200\" />\u003C/picture>ZAYA1-8B punches dramatically above its weight class:\u003C/strong>\u003C/p>\n\n\u003Cul>\n\t\u003Cli>\u003Cstrong>HMMT'25 (with Markovian RSA)\u003C/strong>: \u003Cstrong>89.6%\u003C/strong> — beats Claude 4.5 Sonnet (88.3%) and GPT-5-High.\u003C/li>\n\t\u003Cli>\u003Cstrong>AIME'26\u003C/strong>: 89.1%\u003C/li>\n\t\u003Cli>\u003Cstrong>LiveCodeBench-v6\u003C/strong>: 65.8%\u003C/li>\n\t\u003Cli>\u003Cstrong>GPQA-Diamond\u003C/strong>: 71.0%\u003C/li>\n\u003C/ul>\n\n\u003Cp>It consistently outperforms open-weight models many times its size, including Mistral-Small-4-119B (6B active / 119B total) on math and coding benchmarks, while staying competitive with first-generation frontier reasoning models such as DeepSeek-R1-0528, Gemini-2.5-Pro, and Claude 4.5 Sonnet.\u003C/p>\n\n\u003Chr />\n\u003Ch4>\u003Cstrong>Availability and Openness\u003C/strong>\u003C/h4>\n\n\u003Cp>\u003Cstrong>\u003Cpicture>\u003Csource srcset=\"https://cdn.quasa.io/photos/0001/image-2026-05-11t195446570.webp\" type=\"image/webp\">\u003Cimg alt=\"Zyphra Releases ZAYA1-8B: A Sub-1B Active Parameter MoE Model That Outperforms Much Larger Rivals\" class=\"image-align-right\" height=\"447\" src=\"https://cdn.quasa.io/photos/0001/image-2026-05-11t195446570.jpg\" width=\"300\" />\u003C/picture>True to the spirit of open AI, ZAYA1-8B is fully open:\u003C/strong>\u003C/p>\n\n\u003Cul>\n\t\u003Cli>Model weights on \u003Cstrong>Hugging Face\u003C/strong> (Zyphra/ZAYA1-8B);\u003C/li>\n\t\u003Cli>Serverless endpoint on \u003Cstrong>Zyphra Cloud;\u003C/strong>\u003C/li>\n\t\u003Cli>Released under the permissive \u003Cstrong>Apache-2.0 license.\u003C/strong>\u003C/li>\n\u003C/ul>\n\n\u003Cp>A detailed technical report is also available on arXiv.\u003C/p>\n\n\u003Cp>Also read:\u003C/p>\n\n\u003Cul>\n\t\u003Cli>\u003Ca href=\"https://quasa.io/media/fields-medalist-timothy-gowers-chatgpt-5-5-pro-just-produced-phd-level-math-research-with-zero-help-from-me\">Fields Medalist Timothy Gowers: “ChatGPT 5.5 Pro Just Produced PhD-Level Math Research — With Zero Help From Me”\u003C/a>\u003C/li>\n\t\u003Cli>\u003Ca href=\"https://quasa.io/media/the-duolingo-owl-just-got-even-scarier-now-it-can-block-tiktok-twitter-and-your-entire-distraction-empire\">The Duolingo Owl Just Got Even Scarier: Now It Can Block TikTok, Twitter, and Your Entire Distraction Empire\u003C/a>\u003C/li>\n\t\u003Cli>\u003Ca href=\"https://quasa.io/media/how-brands-can-break-into-ai-search-results-everything-you-wanted-to-know-about-geo\">How Brands Can Break Into AI Search Results: Everything You Wanted to Know About GEO\u003C/a>\u003C/li>\n\u003C/ul>\n\n\u003Chr />\n\u003Ch4>\u003Cstrong>Why This Matters\u003C/strong>\u003C/h4>\n\n\u003Cp>In an era of ever-larger models chasing marginal gains, ZAYA1-8B proves that \u003Cstrong>intelligence density\u003C/strong> — raw performance per active parameter — still has huge room for improvement. By combining architectural innovation, a sophisticated post-training stack, and clever test-time scaling, Zyphra has built a model that delivers frontier math and reasoning capabilities in a package small enough to run efficiently even on modest hardware.\u003C/p>\n\n\u003Cp>For developers, researchers, and enterprises looking for high-performance reasoning without massive inference costs, ZAYA1-8B is an instant must-try. And for the broader industry, it’s yet another sign that the NVIDIA monopoly on serious AI training is cracking.\u003C/p>\n\n\u003Cp>The era of tiny-but-mighty models is here — and Zyphra just fired the starting gun.\u003C/p>","zyphra-releases-zaya1-8b-a-sub-1b-active-parameter-moe-model-that-outperforms-much-larger-rivals","2026-05-11T17:58:11.000000Z","2026-05-21T06:44:00.000000Z","21.05.2026",{"image":82,"image_webp":83,"thumb":84,"thumb_webp":85},"https://cdn.quasa.io/images/news/HOEyHJkXWLUILiN1TBefG4AeTjcHh0LBMJgs8PKU.jpg","https://cdn.quasa.io/images/news/HOEyHJkXWLUILiN1TBefG4AeTjcHh0LBMJgs8PKU.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/HOEyHJkXWLUILiN1TBefG4AeTjcHh0LBMJgs8PKU.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/HOEyHJkXWLUILiN1TBefG4AeTjcHh0LBMJgs8PKU.webp","small",null,0,"en",{"id":42,"title":43,"slug":44,"meta_title":91,"meta_description":92,"meta_keywords":93,"deleted_at":87,"created_at":94,"updated_at":95,"lang":89},"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",[97,111,114,126,140],{"title":98,"description":99,"slug":100,"created_at":101,"publish_at":102,"formatted_created_at":80,"category":103,"links":104,"view_type":86,"video_url":87,"views":109,"likes":88,"lang":89,"comments_count":88,"is_pinned":110},"How to Become a Trillionaire Thanks to a Massive Blunder from 20 Years Ago","Sometimes the best way to become a trillionaire is to look a genius in the eye, laugh in his face, and accidentally stay focused on what you were always world-class at.","how-to-become-a-trillionaire-thanks-to-a-massive-blunder-from-20-years-ago","2026-05-13T12:20:21.000000Z","2026-05-21T09:05:00.000000Z",{"title":27,"slug":28},{"image":105,"image_webp":106,"thumb":107,"thumb_webp":108},"https://cdn.quasa.io/images/news/ob4KLVrzYToZa98qgKZJDvlPFE4tVSL85Y7F2zQ4.jpg","https://cdn.quasa.io/images/news/ob4KLVrzYToZa98qgKZJDvlPFE4tVSL85Y7F2zQ4.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/ob4KLVrzYToZa98qgKZJDvlPFE4tVSL85Y7F2zQ4.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/ob4KLVrzYToZa98qgKZJDvlPFE4tVSL85Y7F2zQ4.webp",2,false,{"title":72,"description":73,"slug":77,"created_at":78,"publish_at":79,"formatted_created_at":80,"category":112,"links":113,"view_type":86,"video_url":87,"views":69,"likes":88,"lang":89,"comments_count":88,"is_pinned":110},{"title":43,"slug":44},{"image":82,"image_webp":83,"thumb":84,"thumb_webp":85},{"title":115,"description":116,"slug":117,"created_at":118,"publish_at":119,"formatted_created_at":80,"category":120,"links":121,"view_type":86,"video_url":87,"views":22,"likes":88,"lang":89,"comments_count":88,"is_pinned":110},"Apple to Open Apple Intelligence to Google and Anthropic Models in iOS 27","The new capability is built around a framework called Extensions. Third-party developers must add support for this system in their App Store applications.","apple-to-open-apple-intelligence-to-google-and-anthropic-models-in-ios-27","2026-05-11T17:35:43.000000Z","2026-05-21T03:26:00.000000Z",{"title":43,"slug":44},{"image":122,"image_webp":123,"thumb":124,"thumb_webp":125},"https://cdn.quasa.io/images/news/33ECRK9MqfXRNXeHxLIHWuTqV7hiWmhtlcC9MWO6.jpg","https://cdn.quasa.io/images/news/33ECRK9MqfXRNXeHxLIHWuTqV7hiWmhtlcC9MWO6.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/33ECRK9MqfXRNXeHxLIHWuTqV7hiWmhtlcC9MWO6.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/33ECRK9MqfXRNXeHxLIHWuTqV7hiWmhtlcC9MWO6.webp",{"title":127,"description":128,"slug":129,"created_at":130,"publish_at":131,"formatted_created_at":132,"category":133,"links":134,"view_type":86,"video_url":87,"views":139,"likes":88,"lang":89,"comments_count":88,"is_pinned":110},"Podcast Slop Is Here to Stay: AI Just Flooded the Airwaves With 877 New Shows in 48 Hours","The era of human-only podcasts is officially over. “Podslop” — the affectionate (or not-so-affectionate) term for low-effort, AI-generated audio content — has moved from niche curiosity to dominant force in the podcast ecosystem.","podcast-slop-is-here-to-stay-ai-just-flooded-the-airwaves-with-877-new-shows-in-48-hours","2026-05-11T11:31:07.000000Z","2026-05-20T11:23:00.000000Z","20.05.2026",{"title":47,"slug":48},{"image":135,"image_webp":136,"thumb":137,"thumb_webp":138},"https://cdn.quasa.io/images/news/jQRZHpLf5RVm898mYglvr5fzaAFZdAWbtRc4KqMT.jpg","https://cdn.quasa.io/images/news/jQRZHpLf5RVm898mYglvr5fzaAFZdAWbtRc4KqMT.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/jQRZHpLf5RVm898mYglvr5fzaAFZdAWbtRc4KqMT.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/jQRZHpLf5RVm898mYglvr5fzaAFZdAWbtRc4KqMT.webp",126,{"title":141,"description":142,"slug":143,"created_at":144,"publish_at":145,"formatted_created_at":132,"category":146,"links":147,"view_type":86,"video_url":87,"views":152,"likes":88,"lang":89,"comments_count":88,"is_pinned":110},"Fields Medalist Timothy Gowers: “ChatGPT 5.5 Pro Just Produced PhD-Level Math Research — With Zero Help From Me”","The era of AI as a genuine collaborator in frontier mathematics has arrived — earlier than almost anyone expected.\nAnd if GPT-5.5 Pro can do this today in additive combinatorics, the question is no longer whether AI will transform science. It’s how fast the rest of mathematics — and every other research field — will have to adapt.","fields-medalist-timothy-gowers-chatgpt-5-5-pro-just-produced-phd-level-math-research-with-zero-help-from-me","2026-05-11T10:44:06.000000Z","2026-05-20T09:41:00.000000Z",{"title":47,"slug":48},{"image":148,"image_webp":149,"thumb":150,"thumb_webp":151},"https://cdn.quasa.io/images/news/sEDnHFVhdjMjRh54YA8oHsvfm6nWAaHT0AeEeDD7.jpg","https://cdn.quasa.io/images/news/sEDnHFVhdjMjRh54YA8oHsvfm6nWAaHT0AeEeDD7.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/sEDnHFVhdjMjRh54YA8oHsvfm6nWAaHT0AeEeDD7.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/sEDnHFVhdjMjRh54YA8oHsvfm6nWAaHT0AeEeDD7.webp",129,[154,167,183,196,211],{"title":155,"description":156,"slug":157,"created_at":158,"publish_at":159,"formatted_created_at":160,"category":161,"links":162,"view_type":86,"video_url":87,"views":165,"likes":166,"lang":89,"comments_count":88,"is_pinned":110},"The Anatomy of an Entrepreneur","Entrepreneur is a French word that means an enterpriser. Enterprisers are people who undertake a business or enterprise with the chance of earning profits or suffering from loss.","the-anatomy-of-an-entrepreneur","2021-08-04T15:18:21.000000Z","2025-12-14T06:09:00.000000Z","14.12.2025",{"title":65,"slug":66},{"image":163,"image_webp":87,"thumb":164,"thumb_webp":164},"https://cdn.quasa.io/images/news/mVsXPTMuHZuI7UXCsENgL1Qwp1uSOf7Rz3uVPMfm.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/mVsXPTMuHZuI7UXCsENgL1Qwp1uSOf7Rz3uVPMfm.webp",74971,4,{"title":168,"description":169,"slug":170,"created_at":171,"publish_at":172,"formatted_created_at":173,"category":174,"links":175,"view_type":180,"video_url":87,"views":181,"likes":182,"lang":89,"comments_count":88,"is_pinned":110},"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","15.05.2026",{"title":58,"slug":63},{"image":176,"image_webp":177,"thumb":178,"thumb_webp":179},"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","large",74810,5,{"title":184,"description":185,"slug":186,"created_at":187,"publish_at":188,"formatted_created_at":189,"category":190,"links":191,"view_type":86,"video_url":87,"views":194,"likes":195,"lang":89,"comments_count":88,"is_pinned":110},"What is a Startup?","A startup is not a new company, not a tech company, nor a new tech company. You can be a new tech company, if your goal is not to grow high and fast; then, you are not a startup. ","what-is-a-startup","2021-08-04T12:05:17.000000Z","2025-12-17T13:02:00.000000Z","17.12.2025",{"title":65,"slug":66},{"image":192,"image_webp":87,"thumb":193,"thumb_webp":193},"https://cdn.quasa.io/images/news/EOsQhSW3VXyG7a6NPdE1oZd00xfJXe3bjY5aJGb7.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/EOsQhSW3VXyG7a6NPdE1oZd00xfJXe3bjY5aJGb7.webp",72276,6,{"title":197,"description":198,"slug":199,"created_at":200,"publish_at":201,"formatted_created_at":202,"category":203,"links":204,"view_type":86,"video_url":87,"views":209,"likes":166,"lang":89,"comments_count":210,"is_pinned":110},"Top 5 Tips to Make More Money as a Content Creator","Content creators are one of the most desired job titles right now. 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