[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"nav-categories":3,"article-us-tightens-scrutiny-of-chinese-ai-models-over-security-and-ip-risks":45,"article-ads":209},{"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":74,"popular_news":128,"categories":200},{"title":47,"description":48,"meta_title":49,"meta_description":50,"meta_keywords":51,"text":52,"slug":53,"created_at":54,"publish_at":55,"formatted_created_at":56,"category_id":37,"links":57,"view_type":62,"video_url":63,"views":64,"likes":65,"lang":66,"comments_count":65,"category":67},"US Tightens Scrutiny of Chinese AI Models Over Security and IP Risks","Washington is examining Chinese AI models for security vulnerabilities and possible use of stolen U.S. intellectual property. Companies using open-weight systems should prepare for tighter procurement rules, sanctions, and compliance checks.","US Scrutiny of Chinese AI Models: What Companies Should Do","The U.S. is examining Chinese AI models for security and IP risks. Here is what the July 22 update means for procurement, data, and model governance.","Chinese AI models, US AI policy, AI national security, Kimi K3, Treasury sanctions, AI procurement, open-weight models","\u003Cp>As of July 22, 2026, the United States is moving toward tighter scrutiny of Chinese artificial intelligence models, but no broad ban on all Chinese AI systems has been publicly confirmed. Treasury Secretary Scott Bessent said the administration is examining leading Chinese open-weight models for evidence that they copied intellectual property from U.S. frontier laboratories and could impose sanctions if wrongdoing is established, according to \u003Ca href=\"https://www.axios.com/2026/07/22/nvidia-jensen-huang-china-open-source-ai\" target=\"_blank\" rel=\"nofollow noopener\">reporting on Bessent’s July 22 comments\u003C/a>.\u003C/p>\n\u003Cp>The immediate trigger is the release of Moonshot AI’s Kimi K3, a large Chinese model that has attracted attention for coding, reasoning, and long-context work. The policy risk for companies is broader than one model: U.S. officials are increasingly treating model provenance, data handling, cybersecurity, and possible state influence as procurement and national-security questions rather than ordinary software-selection issues. That makes a documented risk review the safest next step for any U.S. company considering a Chinese model.\u003C/p>\n\u003Ch3>What Washington announced on July 22\u003C/h3>\n\u003Cp>The July 22 development is an announced examination, not yet a final sanctions order or general prohibition. Bessent said the administration could respond if investigators find evidence that Chinese developers used American models improperly, including signs that U.S. systems were distilled or copied without authorization. \u003Ca href=\"https://siliconangle.com/2026/07/21/u-s-treasury-secretary-bessent-threatens-sanctions-chinese-ai-model-makers/\" target=\"_blank\" rel=\"nofollow noopener\">Coverage of the Treasury secretary’s interview\u003C/a> describes the proposed approach as supporting open models in principle while targeting alleged intellectual-property theft.\u003C/p>\n\u003Cp>That distinction matters. A sanction against a named company, a restriction on federal procurement, a warning to contractors, and a ban on downloading model weights would have very different effects. At publication time, the public information supports heightened scrutiny and the possibility of targeted action; it does not establish that every Chinese model is illegal to use in the United States.\u003C/p>\n\u003Cp>The State Department’s earlier actions show that scrutiny can also operate through diplomacy and guidance. Reuters reported in April that the department circulated instructions to diplomatic posts to warn foreign governments about alleged Chinese extraction and distillation of U.S. AI models, with the stated purpose of preparing follow-up outreach. The \u003Ca href=\"https://www.investing.com/news/stock-market-news/exclusiveus-state-dept-orders-global-warning-about-alleged-china-ai-thefts-by-deepseek-others-4637208\" target=\"_blank\" rel=\"nofollow noopener\">reported diplomatic cable\u003C/a> is evidence of an international pressure campaign, not proof that every allegation has been adjudicated.\u003C/p>\n\u003Ch3>Why Kimi K3 changed the timing\u003C/h3>\n\u003Cp>Kimi K3 made the debate more urgent because it challenged the assumption that Chinese developers remain far behind U.S. laboratories. Moonshot’s official announcement describes K3 as a 2.8-trillion-parameter model with native vision capabilities and a one-million-token context window, available through its consumer, work, coding, and API products. The company says the full weights are scheduled for release on July 27, 2026, according to the \u003Ca href=\"https://www.kimi.com/it/blog/kimi-k3\" target=\"_blank\" rel=\"nofollow noopener\">Kimi K3 technical announcement\u003C/a>.\u003C/p>\n\u003Cp>Those claims should be read as vendor claims until independently replicated. Nature reported that scientists found the model notable for its size and capabilities, while also highlighting questions about whether a system of that scale can be widely adopted. Reuters separately reported that Moonshot temporarily paused new subscriptions after demand approached the limits of its computing clusters, showing that an open-weight release does not remove the cost and infrastructure constraints of large-model deployment.\u003C/p>\n\u003Cp>The political significance is therefore not limited to benchmark rankings. A capable model that is inexpensive through an API, and potentially downloadable for local customization, can spread quickly through developer tools and enterprise applications. That creates a larger surface for policymakers to examine: who controls the service, where prompts are processed, how updates are delivered, what safeguards exist, and whether the model can be audited after deployment.\u003C/p>\n\u003Ch3>What risks U.S. officials are examining\u003C/h3>\u003Cpicture>\u003Csource srcset=\"https://cdn.quasa.io/images/news/e0ze6Zg4Osfci3DgwnQ2USiVQceBb0nZPzpfVNwr.webp\" type=\"image/webp\">\u003Cimg class=\"image-align-left\" src=\"https://cdn.quasa.io/images/news/e0ze6Zg4Osfci3DgwnQ2USiVQceBb0nZPzpfVNwr.png\" alt=\"Инженеры проверяют происхождение, маршрутизацию данных и безопасность китайской AI-модели в изолированной среде\" width=\"300\">\u003C/picture>\n\u003Cp>The current scrutiny combines several risk categories that companies should keep separate in their own assessment.\u003C/p>\n\u003Cul>\n\u003Cli>\u003Cstrong>Intellectual-property provenance:\u003C/strong> whether a model was trained or distilled using outputs obtained through unauthorized access, fraudulent accounts, proxy networks, or violations of service terms.\u003C/li>\n\u003Cli>\u003Cstrong>Cybersecurity:\u003C/strong> whether the model introduces unsafe code, weakens safeguards, exposes data, or can be used to discover and exploit vulnerabilities.\u003C/li>\n\u003Cli>\u003Cstrong>Data governance:\u003C/strong> whether prompts, files, telemetry, or user identifiers are sent to infrastructure controlled by a foreign provider or its service partners.\u003C/li>\n\u003Cli>\u003Cstrong>Supply-chain dependence:\u003C/strong> whether a company becomes dependent on a foreign model, API, hosting layer, or update channel for a critical business process.\u003C/li>\n\u003Cli>\u003Cstrong>Information integrity:\u003C/strong> whether outputs reflect censorship, political filtering, or other behavior that is unacceptable for the intended use.\u003C/li>\n\u003C/ul>\n\u003Cp>The House Committee on Homeland Security and the House Select Committee on China have already opened a joint investigation into Chinese-developed models, including DeepSeek, Alibaba, Moonshot AI, and MiniMax. Their April announcement specifically cited low-cost, open-weight, and API-accessible systems, and raised concerns about model distillation, cybersecurity, intellectual property, and supply-chain risk in the \u003Ca href=\"https://homeland.house.gov/2026/04/29/chairmen-garbarino-moolenaar-announce-joint-investigation-into-national-security-risks-posed-by-prc-ai-models/\" target=\"_blank\" rel=\"nofollow noopener\">official congressional investigation notice\u003C/a>.\u003C/p>\n\u003Cp>These concerns are not identical. A company may reject a hosted API because of data residency while accepting a locally deployed open-weight model after security review. Conversely, local hosting may reduce outbound data exposure without resolving licensing, provenance, malicious code, model-update, or sanctions risks.\u003C/p>\n\u003Ch3>What is already covered by Treasury rules\u003C/h3>\n\u003Cp>The United States already has a framework for certain outbound investments involving artificial intelligence systems connected to countries of concern. Treasury’s official guidance defines an AI system broadly as a machine-based system that makes predictions, recommendations, or decisions, and says that developing a system can include substantive modifications to a third-party model, such as removing safeguards. The \u003Ca href=\"https://home.treasury.gov/policy-issues/international/outbound-investment-program/frequently-asked-questions\" target=\"_blank\" rel=\"nofollow noopener\">Treasury FAQ on covered AI systems\u003C/a> also explains that different model versions and derivatives may need to be assessed separately.\u003C/p>\n\u003Cp>That framework should not be confused with a blanket rule governing every commercial use of a Chinese chatbot or open-weight model. It is primarily relevant to covered investments and transactions, specified end uses, technical thresholds, and parties connected to a country of concern. However, it illustrates the direction of travel: regulators expect companies to understand counterparties, capabilities, intended uses, and internal controls before entering sensitive transactions.\u003C/p>\n\u003Cp>For legal decisions, companies should use counsel familiar with sanctions, export controls, foreign-investment rules, and government contracting. A vendor’s statement that a model is “open source” is not, by itself, a determination that the model is unrestricted, safe, or outside a future rule.\u003C/p>\n\u003Ch3>Why open-weight models are difficult to restrict\u003C/h3>\n\u003Cp>Open-weight models create a practical enforcement problem because the numerical parameters can circulate independently of the original hosted service. A government can restrict an API endpoint or prohibit a federal contractor from buying a service more easily than it can remove every copy of weights that has already been mirrored, quantized, or integrated into another tool.\u003C/p>\n\u003Cp>That does not make open weights consequence-free. A company can still be exposed through its procurement choices, cloud provider, access credentials, licensing terms, data flows, and downstream application. It may also face contractual or regulatory obligations even when the model itself is downloadable.\u003C/p>\n\u003Cp>Policy options under discussion therefore range from federal procurement limits to advisories, sanctions against named developers, restrictions on specific services, and requirements for risk disclosures. A full prohibition on open-weight Chinese models would be more difficult to enforce and could affect developers, startups, researchers, and companies that use local inference rather than a Chinese-hosted service. Analysts cited by CNBC told Treasury that procurement limits may be more feasible than an outright ban, while also warning that broad restrictions could create legal and competitive complications.\u003C/p>\n\u003Ch3>What companies should do before using a Chinese model\u003C/h3>\u003Cpicture>\u003Csource srcset=\"https://cdn.quasa.io/images/news/PVX9HwnLj9sk5JnMXvc9cppOo33SdFZhj1pvBWRp.webp\" type=\"image/webp\">\u003Cimg class=\"image-align-right\" src=\"https://cdn.quasa.io/images/news/PVX9HwnLj9sk5JnMXvc9cppOo33SdFZhj1pvBWRp.png\" alt=\"Сравнение китайского AI API и американской альтернативы по данным, лицензии, стоимости и резервному сценарию\" width=\"300\">\u003C/picture>\n\u003Cp>Companies should treat a Chinese model as a high-risk third-party dependency until the legal, technical, and operational review is complete. The goal is not to assume that the model is unsafe; it is to produce evidence that the company understands and can control the relevant risks.\u003C/p>\n\u003Col>\n\u003Cli>Identify the exact provider, legal entity, hosting location, API intermediary, model version, license, and update mechanism.\u003C/li>\n\u003Cli>Map the data that would leave the company, including prompts, source code, documents, metadata, logs, embeddings, and feedback used for improvement.\u003C/li>\n\u003Cli>Separate low-risk experiments from sensitive workloads. Do not place regulated personal data, trade secrets, credentials, customer records, or critical infrastructure details into an unapproved endpoint.\u003C/li>\n\u003Cli>Request documentation on retention, training use, access controls, subprocessors, incident response, content filtering, model provenance, and vulnerability disclosure.\u003C/li>\n\u003Cli>Run security tests in an isolated environment, including prompt-injection tests, data-exfiltration tests, unsafe-code tests, and checks for unexpected external connections.\u003C/li>\n\u003Cli>Define a replacement path. Keep a second model, exportable prompts, evaluation data, and a rollback procedure so that a policy change or provider outage does not stop the business process.\u003C/li>\n\u003C/ol>\n\u003Cp>For a conditional internal pilot, use synthetic or already public data, restrict network access, log requests, and require human review for consequential outputs. The pilot should have a written stop condition: for example, an unresolved data-retention ambiguity, an unexplained model update, a failed security test, or a new government restriction.\u003C/p>\n\u003Ch3>How to compare a Chinese model with a U.S. alternative\u003C/h3>\n\u003Cp>Price and benchmark scores are not enough. A cheaper model can become more expensive if it requires additional monitoring, manual review, migration work, or legal restrictions. Compare the complete operating profile across the same task set and the same data-handling requirements.\u003C/p>\n\u003Cul>\n\u003Cli>Measure accuracy, latency, failure modes, multilingual behavior, and refusal consistency on representative internal tasks.\u003C/li>\n\u003Cli>Check whether the provider offers contractual commitments on retention, training, deletion, breach notification, and audit cooperation.\u003C/li>\n\u003Cli>Evaluate deployment options: hosted API, U.S.-based intermediary, private cloud, or local inference.\u003C/li>\n\u003Cli>Review licensing for commercial use, redistribution, fine-tuning, and derivative models.\u003C/li>\n\u003Cli>Score policy resilience: how quickly could the company replace the model if sanctions, procurement rules, or provider access changed?\u003C/li>\n\u003C/ul>\n\u003Cp>Independent evaluation is especially important because the Kimi K3 announcement uses the developer’s own benchmark methodology and comparisons. Nature’s reporting notes the difference between company claims and outside scientific assessment, while Kimi’s own technical page discloses that some comparisons use different harnesses, hardware, fallback behavior, or internally developed tests. The practical conclusion is simple: reproduce the tasks that matter to your business before making a strategic commitment.\u003C/p>\n\u003Ch3>What to watch next\u003C/h3>\n\u003Cp>The next meaningful signals will be formal rather than rhetorical. Watch for a Treasury designation or sanctions notice, a State Department advisory, a White House memorandum, Federal Acquisition Regulation changes, congressional requests to additional companies, or guidance aimed specifically at contractors and agencies.\u003C/p>\n\u003Cp>Also watch the July 27 Kimi K3 weight release. If the weights become broadly available, the policy debate may shift from access to a hosted product toward distribution, downstream integration, and the responsibilities of companies that fine-tune or resell the model. If the release is delayed or technically limited, the immediate enterprise impact may remain concentrated in APIs and managed services.\u003C/p>\n\u003Cp>There is also an important counterargument. Nvidia CEO Jensen Huang said restricting open models could make the United States more vulnerable by concentrating dependence on a small number of closed systems, and argued that companies can inspect and sandbox downloaded models. His position, reported by Axios, is a policy argument rather than evidence that any particular Chinese model is secure.\u003C/p>\n\u003Ch3>Practical conclusion for buyers and developers\u003C/h3>\n\u003Cp>Do not make a procurement decision based on the label “open source,” a single benchmark, or the assumption that a U.S. intermediary removes all geopolitical risk. As of July 22, the defensible operating position is to allow only controlled experiments, keep sensitive data out of unapproved systems, document model provenance and data flows, and maintain a tested alternative.\u003C/p>\n\u003Cp>For teams already using a Chinese model, the immediate action is an inventory: locate every API key, plugin, coding assistant, local checkpoint, and vendor integration that depends on a China-origin model. Classify each use by data sensitivity and business criticality, then escalate high-risk cases to security and legal teams. That preparation remains useful whether Washington ultimately chooses targeted sanctions, procurement restrictions, formal warnings, or a narrower case-by-case approach.\u003C/p>\n\n\u003Cp>Also read:\u003C/p>\n\n\u003Cul>\n\t\u003Cli>\u003Ca href=\"https://quasa.io/media/autonomous-ai-agents-breach-hugging-face-in-first-of-its-kind-attack-u-s-considers-finra-style-oversight-body-for-frontier-models\">Autonomous AI Agents Breach Hugging Face in First-of-Its-Kind Attack; U.S. Considers FINRA-Style Oversight Body for Frontier Models\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/imf-cuts-2026-growth-forecast-to-3-amid-war-and-ai-risks\">IMF Cuts 2026 Growth Forecast to 3% Amid War and AI Risks\u003C/a>\u003C/li>\n\t\u003Cli>\u003Ca href=\"https://quasa.io/media/nvidia-releases-nemotron-3-embed-open-embedding-models-that-supercharge-rag-and-agentic-ai\">NVIDIA Releases Nemotron 3 Embed: Open Embedding Models That Supercharge RAG and Agentic AI\u003C/a>\u003C/li>\n\u003C/ul>","us-tightens-scrutiny-of-chinese-ai-models-over-security-and-ip-risks","2026-07-23T09:55:01.000000Z","2026-07-24T10:54:00.000000Z","24.07.2026",{"image":58,"image_webp":59,"thumb":60,"thumb_webp":61},"https://cdn.quasa.io/images/news/ZuXb2Lvn1RyAaSW20Haoz4r0hTp1q9naoGxy7y7B.png","https://cdn.quasa.io/images/news/ZuXb2Lvn1RyAaSW20Haoz4r0hTp1q9naoGxy7y7B.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/ZuXb2Lvn1RyAaSW20Haoz4r0hTp1q9naoGxy7y7B.png","https://cdn.quasa.io/thumbs/news-thumb/images/news/ZuXb2Lvn1RyAaSW20Haoz4r0hTp1q9naoGxy7y7B.webp","large",null,15,0,"en",{"id":37,"title":33,"slug":38,"meta_title":68,"meta_description":69,"meta_keywords":70,"show_on_homepage":71,"deleted_at":63,"created_at":72,"updated_at":73,"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",true,"2021-08-09T19:09:44.000000Z","2026-07-16T20:17:45.000000Z",[75,79,91,103,115],{"title":47,"description":48,"slug":53,"created_at":54,"publish_at":55,"formatted_created_at":56,"category":76,"links":77,"view_type":62,"video_url":63,"views":64,"likes":65,"lang":66,"comments_count":65,"is_pinned":78},{"title":33,"slug":38},{"image":58,"image_webp":59,"thumb":60,"thumb_webp":61},false,{"title":80,"description":81,"slug":82,"created_at":54,"publish_at":83,"formatted_created_at":56,"category":84,"links":85,"view_type":62,"video_url":63,"views":90,"likes":65,"lang":66,"comments_count":65,"is_pinned":78},"Substack Adds Pangram AI Detection to Posts, Notes, and Comments","Substack now lets readers and creators scan eligible posts, Notes, comments, and replies for an estimate of human versus AI-assisted writing. Here is what the feature measures, where it works, and how creators should use it without treating a score21","substack-adds-pangram-ai-detection-to-posts-notes-and-comments","2026-07-24T07:54:00.000000Z",{"title":33,"slug":38},{"image":86,"image_webp":87,"thumb":88,"thumb_webp":89},"https://cdn.quasa.io/images/news/HK4OIEiD4FwCtAVNalOv0puk1fKYdewAQgg69SyO.png","https://cdn.quasa.io/images/news/HK4OIEiD4FwCtAVNalOv0puk1fKYdewAQgg69SyO.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/HK4OIEiD4FwCtAVNalOv0puk1fKYdewAQgg69SyO.png","https://cdn.quasa.io/thumbs/news-thumb/images/news/HK4OIEiD4FwCtAVNalOv0puk1fKYdewAQgg69SyO.webp",32,{"title":92,"description":93,"slug":94,"created_at":54,"publish_at":95,"formatted_created_at":56,"category":96,"links":97,"view_type":62,"video_url":63,"views":102,"likes":65,"lang":66,"comments_count":65,"is_pinned":78},"South Korea’s $880 Billion AI Infrastructure Bet: What It Means for Business","South Korea is combining semiconductor fabs, AI data centers and physical robotics into a decade-long industrial strategy. Here is what the plan includes, where execution risks lie and how businesses should assess the opportunity.","south-korea-s-880-billion-ai-infrastructure-bet-what-it-means-for-business","2026-07-24T04:54:00.000000Z",{"title":40,"slug":41},{"image":98,"image_webp":99,"thumb":100,"thumb_webp":101},"https://cdn.quasa.io/images/news/xFHqrSdteZKx7803hLTwpx3uMPbQMFW3FwfIRSBo.png","https://cdn.quasa.io/images/news/xFHqrSdteZKx7803hLTwpx3uMPbQMFW3FwfIRSBo.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/xFHqrSdteZKx7803hLTwpx3uMPbQMFW3FwfIRSBo.png","https://cdn.quasa.io/thumbs/news-thumb/images/news/xFHqrSdteZKx7803hLTwpx3uMPbQMFW3FwfIRSBo.webp",50,{"title":104,"description":105,"slug":106,"created_at":54,"publish_at":107,"formatted_created_at":56,"category":108,"links":109,"view_type":62,"video_url":63,"views":114,"likes":65,"lang":66,"comments_count":65,"is_pinned":78},"CuspAI Raises $450M Series B Led by Kleiner Perkins","CuspAI has raised $450 million in Series B funding led by Kleiner Perkins and NEA. Here is what the round means for AI-driven materials discovery, industrial research and venture capital in July 2026.","cuspai-raises-450m-series-b-led-by-kleiner-perkins","2026-07-24T01:54:00.000000Z",{"title":40,"slug":41},{"image":110,"image_webp":111,"thumb":112,"thumb_webp":113},"https://cdn.quasa.io/images/news/4mNjvJ7v7A3eBOUbdFjFoghuC7laTymdn2FXRybF.png","https://cdn.quasa.io/images/news/4mNjvJ7v7A3eBOUbdFjFoghuC7laTymdn2FXRybF.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/4mNjvJ7v7A3eBOUbdFjFoghuC7laTymdn2FXRybF.png","https://cdn.quasa.io/thumbs/news-thumb/images/news/4mNjvJ7v7A3eBOUbdFjFoghuC7laTymdn2FXRybF.webp",66,{"title":116,"description":117,"slug":118,"created_at":54,"publish_at":119,"formatted_created_at":120,"category":121,"links":122,"view_type":62,"video_url":63,"views":127,"likes":65,"lang":66,"comments_count":65,"is_pinned":78},"U.S. Venture Capital Hits $412.7B in H1 2026, Led by AI Mega-Rounds","U.S. startups raised a record $412.7 billion in the first half of 2026, but the headline masks an unusually concentrated market. More than 81% of capital went to rounds of at least $100 million, leaving founders and investors outside the AI mega-deal","u-s-venture-capital-hits-412-7b-in-h1-2026-led-by-ai-mega-rounds","2026-07-23T22:54:00.000000Z","23.07.2026",{"title":40,"slug":41},{"image":123,"image_webp":124,"thumb":125,"thumb_webp":126},"https://cdn.quasa.io/images/news/BXlIUYs42X4l7EpD5XM2st3bc6admWjsng3sXHdB.png","https://cdn.quasa.io/images/news/BXlIUYs42X4l7EpD5XM2st3bc6admWjsng3sXHdB.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/BXlIUYs42X4l7EpD5XM2st3bc6admWjsng3sXHdB.png","https://cdn.quasa.io/thumbs/news-thumb/images/news/BXlIUYs42X4l7EpD5XM2st3bc6admWjsng3sXHdB.webp",84,[129,144,158,171,186],{"title":130,"description":131,"slug":132,"created_at":133,"publish_at":134,"formatted_created_at":135,"category":136,"links":137,"view_type":62,"video_url":63,"views":142,"likes":143,"lang":66,"comments_count":65,"is_pinned":78},"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":33,"slug":38},{"image":138,"image_webp":139,"thumb":140,"thumb_webp":141},"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",83476,8,{"title":145,"description":146,"slug":147,"created_at":148,"publish_at":149,"formatted_created_at":150,"category":151,"links":152,"view_type":155,"video_url":63,"views":156,"likes":157,"lang":66,"comments_count":65,"is_pinned":78},"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":40,"slug":41},{"image":153,"image_webp":63,"thumb":154,"thumb_webp":154},"https://cdn.quasa.io/images/news/mVsXPTMuHZuI7UXCsENgL1Qwp1uSOf7Rz3uVPMfm.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/mVsXPTMuHZuI7UXCsENgL1Qwp1uSOf7Rz3uVPMfm.webp","small",82056,4,{"title":159,"description":160,"slug":161,"created_at":162,"publish_at":163,"formatted_created_at":164,"category":165,"links":166,"view_type":155,"video_url":63,"views":169,"likes":170,"lang":66,"comments_count":65,"is_pinned":78},"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":167,"image_webp":63,"thumb":168,"thumb_webp":168},"https://cdn.quasa.io/images/news/EOsQhSW3VXyG7a6NPdE1oZd00xfJXe3bjY5aJGb7.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/EOsQhSW3VXyG7a6NPdE1oZd00xfJXe3bjY5aJGb7.webp",80464,7,{"title":172,"description":173,"slug":174,"created_at":175,"publish_at":176,"formatted_created_at":177,"category":178,"links":179,"view_type":155,"video_url":63,"views":184,"likes":157,"lang":66,"comments_count":185,"is_pinned":78},"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":180,"image_webp":181,"thumb":182,"thumb_webp":183},"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",49793,1,{"title":187,"description":188,"slug":189,"created_at":190,"publish_at":191,"formatted_created_at":192,"category":193,"links":194,"view_type":62,"video_url":63,"views":199,"likes":157,"lang":66,"comments_count":65,"is_pinned":78},"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":195,"image_webp":196,"thumb":197,"thumb_webp":198},"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",47918,[201,202,203,204,205,206,207,208],{"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":210},[211,231,239,251,275,293,312],{"id":212,"order":65,"created_at":213,"expired_at":214,"news_id":215,"post":216},81,"2025-10-19T20:19:39.000000Z","2026-10-19 20:19:16",12864,{"id":215,"title":217,"description":218,"slug":219,"created_at":220,"publish_at":221,"formatted_created_at":222,"category":223,"links":224,"view_type":62,"video_url":63,"views":229,"likes":230,"lang":66,"comments_count":63},"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. 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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":78,"deleted_at":63,"created_at":267,"updated_at":73,"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",6892,2,{"id":276,"order":274,"created_at":277,"expired_at":278,"news_id":230,"post":279},82,"2025-10-19T20:23:19.000000Z","2026-10-19 20:23:00",{"id":230,"title":280,"description":281,"slug":282,"created_at":283,"publish_at":284,"formatted_created_at":285,"category":286,"links":287,"view_type":62,"video_url":63,"views":292,"likes":185,"lang":66,"comments_count":63},"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? 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