[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"nav-categories":3,"article-hermes-agent-v0-18-brings-stable-moa-and-new-control-commands":45,"article-ads":217},{"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":137,"categories":208},{"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":10,"links":57,"view_type":62,"video_url":63,"views":13,"likes":64,"lang":65,"comments_count":64,"category":66},"Hermes Agent v0.18 Brings Stable MoA and New Control Commands","Nous Research released Hermes Agent v0.18.0 on July 1, 2026, with stable Mixture-of-Agents as a first-class model and commands for goal verification, skill learning, and background task handling.","Hermes Agent v0.18: Stable MoA and New Commands","Details on Hermes Agent v0.18.0 updates including stable Mixture-of-Agents, /goal verification, skill learning via /learn, and background task delegation from the official July 2026 release.","Hermes Agent, Nous Research, Mixture-of-Agents, AI agent commands, v0.18 release, agent orchestration, /learn flag","\u003Cp>Hermes Agent v0.18.0 introduces a stable Mixture-of-Agents mode integrated as a selectable model provider along with new commands that give users direct control over verification, learning, and task delegation. The release, dated July 1, 2026, focuses on closing all P0 and P1 issues from prior versions while adding transparency to how multiple models contribute to responses.\u003C/p>\n\n\u003Cp>Users can now select MoA ensembles directly in the model picker, view individual model reasoning in labeled blocks, and manage agent memory through dedicated flags without relying on a single aggregator output. These changes address earlier limitations in reliability and traceability for complex workflows.\u003C/p>\n\n\u003Ch3>Release Overview\u003C/h3>\n\n\u003Cp>The v0.18.0 update, titled \u003Ca href=\"https://github.com/NousResearch/hermes-agent/releases/tag/v2026.7.1\" rel=\"nofollow noopener\" target=\"_blank\">The Judgment Release\u003C/a>, includes approximately 1,720 commits and resolves around 1,950 issues and pull requests since v0.17.0. Official notes emphasize improvements in reasoning and verification capabilities across the platform. This release marks a shift toward more reliable agent behavior by addressing critical bugs that affected stability in previous iterations.\u003C/p>\n\n\u003Cp>Adopting this version requires checking compatibility with existing setups, as the changes to model providers and command flags may affect custom scripts. The update applies to both CLI/TUI and desktop interfaces where applicable. Users should review the full changelog to identify any breaking changes in API calls or configuration files.\u003C/p>\n\n\u003Cp>Criteria for choosing to update include the need for better verification in agent tasks and the desire for ensemble model usage. If current workflows rely on single models without transparency, the new features provide value. Limitations include potential increased API costs when using MoA and the requirement to redefine goals for the /goal flag to take full advantage.\u003C/p>\n\n\u003Cp>A practical example involves a development team migrating their existing agent setup to test the new MoA for a complex query involving multiple data sources. They would install the update, select an ensemble, and observe the labeled outputs. Typical mistakes include skipping the review of resolved issues, which can lead to overlooking how previous bugs are fixed, or not testing commands in a isolated environment before full deployment.\u003C/p>\n\n\u003Ch3>Mixture-of-Agents (MoA) Enhancements\u003C/h3>\n\n\u003Cp>Mixture-of-Agents now operates as a first-class selectable model under a 'moa' provider rather than a toggleable mode. Named ensembles appear alongside standard models in the picker, allowing selection of specific combinations of closed and open-source models. This integration makes ensemble usage more straightforward for users who previously had to enable it separately.\u003C/p>\n\n\u003Cp>The mechanics involve routing a query to multiple reference models simultaneously, with each producing its reasoning in labeled blocks before an aggregator synthesizes the final answer. The aggregator response streams live while individual contributions remain visible for inspection. This setup ensures that users can trace how different LLMs such as Claude, GPT, or Grok influence the outcome.\u003C/p>\n\n\u003Cp>Criteria for selecting MoA include tasks requiring diverse perspectives, such as nuanced analysis or cross-verification of facts. Single models suffice for straightforward queries where speed matters more than breadth. Limitations encompass higher token consumption across multiple APIs and the need for compatible access keys for all selected models in the ensemble.\u003C/p>\n\n\u003Cp>A practical example is a conditional scenario where a user queries an ensemble of opus-4.8 and gpt-5.5 for a technical problem, then reviews the labeled blocks to assess each model's contribution before accepting the aggregated result. Typical mistakes involve selecting too many models without checking API rate limits, which can cause delays, or overlooking the labeled blocks and treating the output as a single undifferentiated response.\u003C/p>\n\n\u003Ch3>Verification and Goal Completion (/goal)\u003C/h3>\n\n\u003Cp>The /goal flag lets users define explicit completion criteria for a project. The agent then returns verification against evidence such as project checks instead of a simple assertion that work is finished. This change strengthens the reliability of agent outputs by tying completion to observable results rather than internal model confidence.\u003C/p>\n\n\u003Cp>Mechanics include pre-verify hooks that run specified checks before confirming task status. Users specify what constitutes done, and the agent evaluates against those standards using available tools or code execution. The process integrates with the broader self-verification improvements in the release.\u003C/p>\n\n\u003Cp>Criteria for using /goal involve projects with measurable outcomes, such as code that must pass tests or documents that require specific formatting. It is less necessary for open-ended creative tasks. Limitations include the need for users to articulate clear, testable criteria upfront, as vague definitions reduce the flag's effectiveness.\u003C/p>\n\n\u003Cp>A practical example is a conditional case where a user sets a goal for a software module to include unit tests that pass and documentation that covers all functions, after which the agent runs checks and reports verified completion. Typical mistakes include defining goals too broadly, leading to incomplete verification, or forgetting to include evidence requirements, which causes the agent to fall back on less rigorous checks.\u003C/p>\n\n\u003Ch3>Skill Acquisition and Memory Management (/learn and /journey)\u003C/h3>\n\n\u003Cp>\u003Cpicture>\u003Csource srcset=\"https://cdn.quasa.io/images/news/iHi19NwdVV8RWU1Y9Gmb299GRuG2zdVhEJE3M0LO.webp\" type=\"image/webp\">\u003Cimg alt=\"Two professionals reviewing an editable agent learning timeline on paper documents.\" class=\"image-align-left\" src=\"https://cdn.quasa.io/images/news/iHi19NwdVV8RWU1Y9Gmb299GRuG2zdVhEJE3M0LO.jpg\" width=\"300\" />\u003C/picture>\u003C/p>\n\n\u003Cp>The /learn command accepts a directory, URL, or workflow as input and distills reusable skills from the content, writing them automatically to files such as CONTRIBUTING.md for persistence. Skills become available for future use without manual reconfiguration. The process turns provided materials into standardized agent capabilities that persist across sessions.\u003C/p>\n\n\u003Cp>The /journey command displays an editable timeline in the CLI/TUI or a memory graph in the desktop app. Users can view, edit, or delete accumulated entries to refine what the agent retains. This makes the agent's learning history transparent and steerable over time.\u003C/p>\n\n\u003Cp>Criteria for applying /learn include scenarios where repeated patterns appear in workflows, such as specific code review steps or research protocols. It suits users who want to build a library of agent behaviors incrementally. Limitations involve the quality of distilled skills depending on the clarity and completeness of the input source, with poor inputs yielding less reliable skills.\u003C/p>\n\n\u003Cp>\u003Cimg alt=\"Two professionals reviewing an editable agent learning timeline on paper documents.\" src=\"inline-image\" />\u003C/p>\n\n\u003Cp>A practical example is a conditional scenario where a user provides a folder of past project workflows to /learn, resulting in the agent extracting a standardized reporting skill that it applies in subsequent tasks. Typical mistakes include not reviewing the /journey timeline regularly, allowing outdated or conflicting skills to accumulate, or feeding overly complex inputs that the distillation process cannot simplify effectively.\u003C/p>\n\n\u003Ch3>Parallel Task Delegation\u003C/h3>\n\n\u003Cp>Multiple tasks can be assigned to separate sub-agents that execute in the background. Results consolidate into one response without blocking the main chat interface. This supports workloads such as parallel research or module audits where independent processing improves throughput. The main session remains responsive during execution.\u003C/p>\n\n\u003Cp>Mechanics allow users to specify a batch of tasks and delegate them simultaneously, with sub-agents handling each independently before returning consolidated findings. The system manages the fan-out and collection process automatically. This feature builds on the release's emphasis on non-blocking operations.\u003C/p>\n\n\u003Cp>Criteria for using parallel delegation include time-sensitive projects with divisible components, such as analyzing multiple competitors or auditing separate code modules. It is less suitable for sequential tasks that depend on prior results. Limitations include the potential for result consolidation to overlook nuances if sub-agent outputs vary widely in format.\u003C/p>\n\n\u003Cp>A practical example is a conditional case where a user delegates competitor analysis across three sub-agents for different market segments, receiving a unified summary without the chat freezing during processing. Typical mistakes involve delegating too many tasks at once without monitoring resource usage, which can strain API quotas, or failing to specify clear task boundaries, leading to overlapping or incomplete sub-agent work.\u003C/p>\n\n\u003Ch3>Desktop Projects and Workflow Organization\u003C/h3>\n\n\u003Cp>The desktop app adds a Projects sidebar that organizes codebases with git worktree support and review panes. Structure follows project to repository to lane model for clearer navigation. Agent interactions integrate directly into this view, replacing scattered individual chats with project-level management. Users can switch between branches and review outputs within the same interface.\u003C/p>\n\n\u003Cp>Mechanics provide a hierarchical view that mirrors git workflows, allowing agents to operate within specific lanes or branches. The sidebar supports review panes for comparing changes across versions. This replaces fragmented chat-based interactions with structured project oversight.\u003C/p>\n\n\u003Cp>Criteria for adopting the Projects sidebar include teams managing multiple repositories or complex codebases that benefit from organized lanes. It suits users transitioning from ad-hoc chats to formal project structures. Limitations include its availability only in the desktop app, with CLI/TUI users relying on manual organization instead.\u003C/p>\n\n\u003Cp>A practical example is a conditional scenario where a user sets up a new project in the sidebar, creates a git worktree for a feature branch, and assigns agent tasks within that lane for code generation and review. Typical mistakes include not utilizing worktree support, which can lead to conflicts in shared repositories, or scattering tasks across unorganized chats instead of leveraging the project hierarchy.\u003C/p>\n\n\u003Ch3>Efficiency Improvements in Self-Improvement\u003C/h3>\n\n\u003Cp>Self-improvement loops now route post-turn memory and skill decisions through an auxiliary lighter model that processes summarized context. This replaces full conversation replays in the background review step. The change lowers compute requirements while preserving the ability to accumulate and apply learned skills. Official notes confirm the optimization maintains learning outcomes at reduced cost.\u003C/p>\n\n\u003Cp>Mechanics involve generating a concise summary of the chat after each turn, which the lighter model then analyzes for memory or skill updates. This avoids repeated full-context processing that previously increased expenses. The approach applies specifically to background self-improvement rather than primary responses.\u003C/p>\n\n\u003Cp>Criteria for benefiting from this optimization include extended sessions with frequent learning opportunities, where cumulative costs would otherwise rise quickly. It is relevant for users running agents over many interactions. Limitations include the summary step potentially omitting fine details, though the release notes indicate this does not degrade overall learning effectiveness.\u003C/p>\n\n\u003Cp>A practical example is a conditional case where an agent processes a long research session, and the self-improvement uses summaries to decide on new skills without replaying the entire conversation each time. Typical mistakes include assuming the lighter model eliminates all costs, leading to unexpectedly high usage in very long sessions, or not monitoring the quality of distilled memories after the change.\u003C/p>\n\n\u003Ch3>Comparison to Sakana Fugu\u003C/h3>\n\n\u003Cp>\u003Ca href=\"https://sakana.ai/fugu/\" rel=\"nofollow noopener\" target=\"_blank\">Sakana AI released Fugu\u003C/a> as a multi-agent orchestration system exposed through a single OpenAI-compatible model API. It coordinates multiple frontier models dynamically for complex tasks using policies derived from prior research. Both frameworks enable ensemble-style coordination of LLMs, though Hermes implements this through selectable MoA models with visible per-model blocks while Fugu presents the orchestration as one unified endpoint.\u003C/p>\n\n\u003Cp>Mechanics in Hermes emphasize user selection of specific ensembles and post-response visibility of contributions, whereas Fugu focuses on learned orchestration policies that handle coordination internally. The choice between them depends on whether transparency in individual model outputs or seamless API compatibility is prioritized.\u003C/p>\n\n\u003Cp>Criteria for selecting Hermes over similar tools include the need for labeled reasoning blocks and command-based control over learning. Fugu may suit users seeking a drop-in model replacement without managing multiple providers. Limitations for both involve dependency on the availability and pricing of underlying frontier models, with no independent benchmarks provided in official sources for direct performance comparison.\u003C/p>\n\n\u003Cp>A practical example is a conditional scenario where a user evaluates Hermes MoA for a task requiring visible model contributions and compares it to Fugu for an OpenAI-compatible workflow. \u003Ca href=\"https://quasa.io/media/sakana-ai-s-fugu-multi-agent-orchestration-as-a-single-model\" rel=\"nofollow noopener\" target=\"_blank\">Sakana AI's Fugu framework\u003C/a> provides additional context on its approach. Typical mistakes include assuming identical behavior across frameworks without testing integration points, which can lead to unexpected differences in output formatting or delegation handling.\u003C/p>\n\n\u003Ch3>Additional Updates and Resources\u003C/h3>\n\n\u003Cp>Supporting changes include gateway scaling improvements and security enhancements listed in the release notes. These accompany the primary feature additions without altering core command syntax. Users should consult the GitHub release page for the complete changelog and installation instructions. Features described reflect the July 1, 2026 release, and later patches may introduce further adjustments.\u003C/p>\n\n\u003Cp>To begin using the new capabilities, install the updated version from the official repository and experiment with the /goal flag on a small project to verify completion against defined criteria. Next, test MoA selection in the model picker for a task that benefits from multiple perspectives, then review the labeled blocks to understand contributions. After that, use /learn on a sample workflow to build a persistent skill and check the /journey timeline to manage memory entries.\u003C/p>\n\n\u003Cp>Monitor API usage during initial tests of parallel delegation and self-improvement to establish baselines before scaling to larger workloads. Review the Projects sidebar in the desktop app for organized codebase management if that interface fits the workflow. These steps allow systematic adoption while identifying any environment-specific adjustments needed.\u003C/p>","hermes-agent-v0-18-brings-stable-moa-and-new-control-commands","2026-07-16T14:53:59.000000Z","2026-07-17T12:51:00.000000Z","17.07.2026",{"image":58,"image_webp":59,"thumb":60,"thumb_webp":61},"https://cdn.quasa.io/images/news/SbWMZGoYxcduSW2D2EKUnVnywN27H3j1QuosuNqz.jpg","https://cdn.quasa.io/images/news/SbWMZGoYxcduSW2D2EKUnVnywN27H3j1QuosuNqz.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/SbWMZGoYxcduSW2D2EKUnVnywN27H3j1QuosuNqz.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/SbWMZGoYxcduSW2D2EKUnVnywN27H3j1QuosuNqz.webp","large",null,0,"en",{"id":10,"title":6,"slug":11,"meta_title":67,"meta_description":68,"meta_keywords":69,"topic_search_prompt":70,"show_on_homepage":71,"deleted_at":63,"created_at":72,"updated_at":73,"lang":65},"Technology: Discoveries, Research and Cybersecurity | QUASA","New technologies, discoveries, research, cybersecurity, inventions and releases from technology companies worldwide.","technology, discoveries, research, cybersecurity, inventions","Technology, scientific and engineering discoveries, inventions, cybersecurity and protection, new opportunities created by technology, research, societal impact and major product releases worldwide.",true,"2023-03-23T08:15:32.000000Z","2026-07-16T20:17:45.000000Z",[75,89,101,114,127],{"title":76,"description":77,"slug":78,"created_at":79,"publish_at":79,"formatted_created_at":56,"category":80,"links":81,"view_type":86,"video_url":63,"views":87,"likes":64,"lang":65,"comments_count":64,"is_pinned":88},"The AI Slop Gold Rush on Amazon: How One Journalist Found Her Own Fake Biography","For now, the economics remain attractive for people like Bill Johns: minimal upfront cost, automated production, and enough sales to fund hobbies.","the-ai-slop-gold-rush-on-amazon-how-one-journalist-found-her-own-fake-biography","2026-07-17T17:55:47.000000Z",{"title":18,"slug":19},{"image":82,"image_webp":83,"thumb":84,"thumb_webp":85},"https://cdn.quasa.io/images/news/iLtmleMoELFtHm6oLdpj01TeozJZGmdQWD1Z8TiM.jpg","https://cdn.quasa.io/images/news/iLtmleMoELFtHm6oLdpj01TeozJZGmdQWD1Z8TiM.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/iLtmleMoELFtHm6oLdpj01TeozJZGmdQWD1Z8TiM.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/iLtmleMoELFtHm6oLdpj01TeozJZGmdQWD1Z8TiM.webp","small",2,false,{"title":90,"description":91,"slug":92,"created_at":93,"publish_at":93,"formatted_created_at":56,"category":94,"links":95,"view_type":86,"video_url":63,"views":100,"likes":64,"lang":65,"comments_count":64,"is_pinned":88},"The Anatomy of the AI Bubble: Circular Money, Fragile Foundations, and What Comes Next","The AI boom of the mid-2020s looks impressive on the surface. Hyperscalers and AI labs are pouring capital into infrastructure at a scale never seen before.","the-anatomy-of-the-ai-bubble-circular-money-fragile-foundations-and-what-comes-next","2026-07-17T17:07:24.000000Z",{"title":22,"slug":23},{"image":96,"image_webp":97,"thumb":98,"thumb_webp":99},"https://cdn.quasa.io/images/news/y5YxadSXfhpmFUuW3eMjF8wjfJVa3KE6eHeLdNPM.jpg","https://cdn.quasa.io/images/news/y5YxadSXfhpmFUuW3eMjF8wjfJVa3KE6eHeLdNPM.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/y5YxadSXfhpmFUuW3eMjF8wjfJVa3KE6eHeLdNPM.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/y5YxadSXfhpmFUuW3eMjF8wjfJVa3KE6eHeLdNPM.webp",6,{"title":102,"description":103,"slug":104,"created_at":105,"publish_at":106,"formatted_created_at":56,"category":107,"links":108,"view_type":62,"video_url":63,"views":113,"likes":64,"lang":65,"comments_count":64,"is_pinned":88},"Survey Shows 97.7% of Hiring Leaders Changed Talent Locations Due to AI","A May 2026 survey of 3,250 leaders finds that AI adoption has altered hiring locations for nearly all respondents, driving 40% to open new country operations amid talent shortages.","survey-shows-97-7-of-hiring-leaders-changed-talent-locations-due-to-ai","2026-07-17T12:57:14.000000Z","2026-07-17T15:38:00.000000Z",{"title":18,"slug":19},{"image":109,"image_webp":110,"thumb":111,"thumb_webp":112},"https://cdn.quasa.io/images/news/zxlesUsEErPOFGED0zF3ECXXf3tXBHSwzXzHY7tW.jpg","https://cdn.quasa.io/images/news/zxlesUsEErPOFGED0zF3ECXXf3tXBHSwzXzHY7tW.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/zxlesUsEErPOFGED0zF3ECXXf3tXBHSwzXzHY7tW.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/zxlesUsEErPOFGED0zF3ECXXf3tXBHSwzXzHY7tW.webp",15,{"title":115,"description":116,"slug":117,"created_at":118,"publish_at":119,"formatted_created_at":56,"category":120,"links":121,"view_type":62,"video_url":63,"views":126,"likes":64,"lang":65,"comments_count":64,"is_pinned":88},"How to Appeal YouTube Demonetization from Inauthentic Content Flags","Creators can appeal YPP demonetization or suspension decisions tied to inauthentic content flags by submitting a video appeal or contacting Creator Support in YouTube Studio. The process follows defined timelines and requirements from official policy documentation.","how-to-appeal-youtube-demonetization-from-inauthentic-content-flags","2026-07-16T16:00:54.000000Z","2026-07-17T14:51:00.000000Z",{"title":26,"slug":27},{"image":122,"image_webp":123,"thumb":124,"thumb_webp":125},"https://cdn.quasa.io/images/news/Ao68sZAGTcH3iJZF6kbLXT1or0sXKXtQcUtuZoeX.jpg","https://cdn.quasa.io/images/news/Ao68sZAGTcH3iJZF6kbLXT1or0sXKXtQcUtuZoeX.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/Ao68sZAGTcH3iJZF6kbLXT1or0sXKXtQcUtuZoeX.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/Ao68sZAGTcH3iJZF6kbLXT1or0sXKXtQcUtuZoeX.webp",19,{"title":128,"description":129,"slug":130,"created_at":54,"publish_at":119,"formatted_created_at":56,"category":131,"links":132,"view_type":62,"video_url":63,"views":126,"likes":64,"lang":65,"comments_count":64,"is_pinned":88},"HeyGen Open-Sources HyperFrames Framework with Keyframes for AI Video Agents","HeyGen has open-sourced HyperFrames, an HTML-to-video framework that enables AI agents to generate videos using skills and a visual Keyframes editor for timeline animation control with code synchronization.","heygen-open-sources-hyperframes-framework-with-keyframes-for-ai-video-agents",{"title":6,"slug":11},{"image":133,"image_webp":134,"thumb":135,"thumb_webp":136},"https://cdn.quasa.io/images/news/QSbAfLiJiL4TpVZUwhbaR3RSqdQRI570eVrMnxhf.jpg","https://cdn.quasa.io/images/news/QSbAfLiJiL4TpVZUwhbaR3RSqdQRI570eVrMnxhf.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/QSbAfLiJiL4TpVZUwhbaR3RSqdQRI570eVrMnxhf.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/QSbAfLiJiL4TpVZUwhbaR3RSqdQRI570eVrMnxhf.webp",[138,153,166,179,194],{"title":139,"description":140,"slug":141,"created_at":142,"publish_at":143,"formatted_created_at":144,"category":145,"links":146,"view_type":62,"video_url":63,"views":151,"likes":152,"lang":65,"comments_count":64,"is_pinned":88},"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":147,"image_webp":148,"thumb":149,"thumb_webp":150},"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",82541,8,{"title":154,"description":155,"slug":156,"created_at":157,"publish_at":158,"formatted_created_at":159,"category":160,"links":161,"view_type":86,"video_url":63,"views":164,"likes":165,"lang":65,"comments_count":64,"is_pinned":88},"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":162,"image_webp":63,"thumb":163,"thumb_webp":163},"https://cdn.quasa.io/images/news/mVsXPTMuHZuI7UXCsENgL1Qwp1uSOf7Rz3uVPMfm.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/mVsXPTMuHZuI7UXCsENgL1Qwp1uSOf7Rz3uVPMfm.webp",81383,4,{"title":167,"description":168,"slug":169,"created_at":170,"publish_at":171,"formatted_created_at":172,"category":173,"links":174,"view_type":86,"video_url":63,"views":177,"likes":178,"lang":65,"comments_count":64,"is_pinned":88},"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":175,"image_webp":63,"thumb":176,"thumb_webp":176},"https://cdn.quasa.io/images/news/EOsQhSW3VXyG7a6NPdE1oZd00xfJXe3bjY5aJGb7.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/EOsQhSW3VXyG7a6NPdE1oZd00xfJXe3bjY5aJGb7.webp",79567,7,{"title":180,"description":181,"slug":182,"created_at":183,"publish_at":184,"formatted_created_at":185,"category":186,"links":187,"view_type":86,"video_url":63,"views":192,"likes":165,"lang":65,"comments_count":193,"is_pinned":88},"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":188,"image_webp":189,"thumb":190,"thumb_webp":191},"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",49606,1,{"title":195,"description":196,"slug":197,"created_at":198,"publish_at":199,"formatted_created_at":200,"category":201,"links":202,"view_type":62,"video_url":63,"views":207,"likes":165,"lang":65,"comments_count":64,"is_pinned":88},"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":203,"image_webp":204,"thumb":205,"thumb_webp":206},"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",47816,[209,210,211,212,213,214,215,216],{"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":218},[219,244,252,265,289,307,326],{"id":220,"order":64,"created_at":221,"expired_at":222,"news_id":223,"post":224},81,"2025-10-19T20:19:39.000000Z","2026-10-19 20:19:16",12864,{"id":223,"title":225,"description":226,"slug":227,"created_at":228,"publish_at":229,"formatted_created_at":230,"category":231,"links":237,"view_type":62,"video_url":63,"views":242,"likes":243,"lang":65,"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. 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":232,"meta_description":233,"meta_keywords":234,"topic_search_prompt":235,"show_on_homepage":71,"deleted_at":63,"created_at":236,"updated_at":73,"lang":65},"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","Global technology news: space, robots and robotics, leading AI models, Google, Alibaba, xAI, Microsoft, Nvidia, Tesla, SpaceX and other significant technology companies; developments in China, India, the US, Europe and other countries.","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",7347,3,{"id":245,"order":64,"created_at":246,"expired_at":247,"news_id":248,"post":249},86,"2026-06-07T14:36:10.000000Z","2029-06-07 14:35:45",4545,{"id":248,"title":139,"description":140,"slug":141,"created_at":142,"publish_at":143,"formatted_created_at":144,"category":250,"links":251,"view_type":62,"video_url":63,"views":151,"likes":152,"lang":65,"comments_count":63},{"id":37,"title":33,"slug":38,"meta_title":232,"meta_description":233,"meta_keywords":234,"topic_search_prompt":235,"show_on_homepage":71,"deleted_at":63,"created_at":236,"updated_at":73,"lang":65},{"image":147,"image_webp":148,"thumb":149,"thumb_webp":150},{"id":253,"order":64,"created_at":254,"expired_at":255,"news_id":256,"post":257},87,"2026-06-07T14:46:09.000000Z","2031-06-07 14:45:52",1229,{"id":256,"title":167,"description":168,"slug":169,"created_at":170,"publish_at":171,"formatted_created_at":172,"category":258,"links":264,"view_type":86,"video_url":63,"views":177,"likes":178,"lang":65,"comments_count":63},{"id":44,"title":40,"slug":41,"meta_title":259,"meta_description":260,"meta_keywords":261,"topic_search_prompt":262,"show_on_homepage":71,"deleted_at":63,"created_at":263,"updated_at":73,"lang":65},"Technology Business, Startups and Growth Strategies | QUASA","Technology business news, startups, entrepreneurship, growth strategies and emerging business models.","business, technology business, startups, strategy, growth","Business news with an emphasis on technology companies, startups, entrepreneurship, growth strategies and emerging business models.","2021-08-03T10:59:17.000000Z",{"image":175,"image_webp":63,"thumb":176,"thumb_webp":176},{"id":266,"order":193,"created_at":267,"expired_at":268,"news_id":269,"post":270},92,"2026-06-07T15:05:49.000000Z","2033-06-07 15:05:26",13757,{"id":269,"title":271,"description":272,"slug":273,"created_at":274,"publish_at":275,"formatted_created_at":276,"category":277,"links":283,"view_type":86,"video_url":63,"views":288,"likes":87,"lang":65,"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":278,"meta_description":279,"meta_keywords":280,"topic_search_prompt":281,"show_on_homepage":88,"deleted_at":63,"created_at":282,"updated_at":73,"lang":65},"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","Ways to earn, remote and hybrid work, freelancing, labor markets in different countries, working from home and careers across industries.","2021-09-03T20:21:41.000000Z",{"image":284,"image_webp":285,"thumb":286,"thumb_webp":287},"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",6053,{"id":290,"order":87,"created_at":291,"expired_at":292,"news_id":243,"post":293},82,"2025-10-19T20:23:19.000000Z","2026-10-19 20:23:00",{"id":243,"title":294,"description":295,"slug":296,"created_at":297,"publish_at":298,"formatted_created_at":299,"category":300,"links":301,"view_type":62,"video_url":63,"views":306,"likes":193,"lang":65,"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? 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":232,"meta_description":233,"meta_keywords":234,"topic_search_prompt":235,"show_on_homepage":71,"deleted_at":63,"created_at":236,"updated_at":73,"lang":65},{"image":302,"image_webp":303,"thumb":304,"thumb_webp":305},"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",6822,{"id":308,"order":87,"created_at":309,"expired_at":310,"news_id":311,"post":312},89,"2026-06-07T14:54:22.000000Z","2030-06-07 14:54:10",14533,{"id":311,"title":313,"description":314,"slug":315,"created_at":316,"publish_at":317,"formatted_created_at":318,"category":319,"links":320,"view_type":86,"video_url":63,"views":325,"likes":87,"lang":65,"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":232,"meta_description":233,"meta_keywords":234,"topic_search_prompt":235,"show_on_homepage":71,"deleted_at":63,"created_at":236,"updated_at":73,"lang":65},{"image":321,"image_webp":322,"thumb":323,"thumb_webp":324},"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",4334,{"id":327,"order":243,"created_at":328,"expired_at":329,"news_id":330,"post":331},83,"2025-10-19T20:28:22.000000Z","2026-10-19 20:28:07",12458,{"id":330,"title":332,"description":333,"slug":334,"created_at":335,"publish_at":336,"formatted_created_at":337,"category":338,"links":339,"view_type":86,"video_url":63,"views":344,"likes":64,"lang":65,"comments_count":63},"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":232,"meta_description":233,"meta_keywords":234,"topic_search_prompt":235,"show_on_homepage":71,"deleted_at":63,"created_at":236,"updated_at":73,"lang":65},{"image":340,"image_webp":341,"thumb":342,"thumb_webp":343},"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",2902]