{"id":6960,"date":"2026-07-26T05:23:43","date_gmt":"2026-07-26T05:23:43","guid":{"rendered":"https:\/\/suprmind.ai\/hub\/?p=6960"},"modified":"2026-07-26T05:23:57","modified_gmt":"2026-07-26T05:23:57","slug":"nine-new-models-in-three-weeks-and-you-were-already-using-most-of-them","status":"publish","type":"post","link":"https:\/\/suprmind.ai\/hub\/ja\/insights\/nine-new-models-in-three-weeks-and-you-were-already-using-most-of-them\/","title":{"rendered":"Nine New Models in Three Weeks, and You Were Already Using Most of Them"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">Claude Sonnet 5 replaced Sonnet 4 in the Operators seat about a week and a half ago.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">We never announced it. I only worked that out while writing this post.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">That is not great changelog hygiene on my part. But it is a decent illustration of how model updates are supposed to work here, so I am leaving the embarrassment in.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Between the start of July and yesterday, nine new models landed in Suprmind. Three from OpenAI, three from Anthropic, two from Google, one from x.AI. Where a new release replaced an older default, it took the seat automatically. No migration notice, no action required, no settings to reconcile. You kept working and the models under you got newer.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">What landed<\/h2>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th><strong>Provider<\/strong><\/th><th><strong>Model<\/strong><\/th><th><strong>Where it sits<\/strong><\/th><\/tr><\/thead><tbody><tr><td>OpenAI<\/td><td>GPT-5.6 Sol<\/td><td>A-team<\/td><\/tr><tr><td>OpenAI<\/td><td>GPT-5.6 Terra<\/td><td>Operators<\/td><\/tr><tr><td>OpenAI<\/td><td>GPT-5.6 Luna<\/td><td>Daily Drivers<\/td><\/tr><tr><td>Anthropic<\/td><td>Claude Opus 5<\/td><td>A-team, default since July 25<\/td><\/tr><tr><td>Anthropic<\/td><td>Claude Sonnet 5<\/td><td>Operators, replaced Sonnet 4<\/td><\/tr><tr><td>Anthropic<\/td><td>Claude Fable 5<\/td><td>Selectable on any team<\/td><\/tr><tr><td>Google<\/td><td>Gemini 3.6 Flash<\/td><td>Operators, replaced Gemini 3.5 Flash<\/td><\/tr><tr><td>Google<\/td><td>Gemini 3.5 Flash Lite<\/td><td>Daily Drivers, replaced Gemini 3.1 Flash Lite<\/td><\/tr><tr><td>x.AI<\/td><td>Grok 4.5<\/td><td>Selectable on any team<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">Google shipped its newest generation on July 21 and it was running on Suprmind days later. Grok 4.5 arrived the same day as a selectable option, though Grok 4.3 stays the default across all three teams for now.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Gemini 3.1 Pro keeps the A-team Gemini seat. Sonar Reasoning Pro holds all three Perplexity seats, unchanged. Claude Haiku 4.5 still runs Daily Drivers.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">What I am not going to claim<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">That you will feel all nine of these on every prompt.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">For a large share of everyday work, the gap between Sonnet 4 and Sonnet 5 is not something you would spot without looking for it. Same with Gemini 3.5 Flash to 3.6 Flash. What moves is the ceiling, not the floor, and the ceiling only matters on the work that pushes against it.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">We also have not run our own benchmarks on this batch yet. What I can tell you is what the providers published and what we have seen in production over the past few weeks. When we have our own numbers, they go in the Multi-Model Divergence Index, not in a changelog post.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">Where the models actually live<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Suprmind runs three AI Teams, and each team has one seat per provider.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>The A-team<\/strong> is deep deliberation for strategic decisions, novel problems, and high-stakes calls. <strong>Operators<\/strong> is the workhorse for real tasks that do not need maximum brainpower at maximum cost. <strong>Daily Drivers<\/strong> covers speed and large context for parsing, structured extraction, and data work.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Every one of those seats is a dropdown, and every dropdown shows that provider&#8217;s full lineup. You can put Claude Opus 5 in Daily Drivers if you want the heavy model doing your parsing. You can drop Claude Haiku 4.5 into the A-team if you are running high volume and care more about runway than depth. Nothing stops you. Defaults hold until you override them.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">If a roster stops making sense, each team has its own <strong>Reset team<\/strong> button. It resets that team only. Your other two stay exactly as you left them, so you can experiment on Daily Drivers without touching the A-team you spent time tuning.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">All of it lives in <strong>Account &gt; Settings &gt; Usage Control<\/strong>.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">Anything else you need to know<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">No. Pricing did not change. Usage capacity did not change. If you had manually picked a model that got retired, your pick carried forward to its successor on its own.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The rosters are worth ten minutes if you have opinions about which model should be doing what. If you do not have opinions about that, the defaults are the ones we would pick for you anyway.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><a href=\"https:\/\/suprmind.ai\/settings?tab=usage-control\">Open Usage Control<\/a><\/p>\n<style>\r\n.lwrp.link-whisper-related-posts{\r\n            \r\n            margin-top: 40px;\nmargin-bottom: 30px;\r\n        }\r\n        .lwrp .lwrp-title{\r\n            \r\n            \r\n        }.lwrp .lwrp-description{\r\n            \r\n            \r\n\r\n        }\r\n        .lwrp .lwrp-list-container{\r\n        }\r\n        .lwrp .lwrp-list-multi-container{\r\n            display: flex;\r\n        }\r\n        .lwrp .lwrp-list-double{\r\n            width: 48%;\r\n        }\r\n        .lwrp .lwrp-list-triple{\r\n            width: 32%;\r\n        }\r\n        .lwrp .lwrp-list-row-container{\r\n            display: flex;\r\n            justify-content: space-between;\r\n        }\r\n        .lwrp .lwrp-list-row-container .lwrp-list-item{\r\n            width: calc(12% - 20px);\r\n        }\r\n        .lwrp .lwrp-list-item:not(.lwrp-no-posts-message-item){\r\n            \r\n            \r\n        }\r\n        .lwrp .lwrp-list-item img{\r\n            max-width: 100%;\r\n            height: auto;\r\n            object-fit: cover;\r\n            aspect-ratio: 1 \/ 1;\r\n        }\r\n        .lwrp .lwrp-list-item.lwrp-empty-list-item{\r\n            background: initial !important;\r\n        }\r\n        .lwrp .lwrp-list-item .lwrp-list-link .lwrp-list-link-title-text,\r\n        .lwrp .lwrp-list-item .lwrp-list-no-posts-message{\r\n            \r\n            \r\n            \r\n            \r\n        }@media screen and (max-width: 480px) {\r\n            .lwrp.link-whisper-related-posts{\r\n                \r\n                \r\n            }\r\n            .lwrp .lwrp-title{\r\n                \r\n                \r\n            }.lwrp .lwrp-description{\r\n                \r\n                \r\n            }\r\n            .lwrp .lwrp-list-multi-container{\r\n                flex-direction: column;\r\n            }\r\n            .lwrp .lwrp-list-multi-container ul.lwrp-list{\r\n                margin-top: 0px;\r\n                margin-bottom: 0px;\r\n                padding-top: 0px;\r\n                padding-bottom: 0px;\r\n            }\r\n            .lwrp .lwrp-list-double,\r\n            .lwrp .lwrp-list-triple{\r\n                width: 100%;\r\n            }\r\n            .lwrp .lwrp-list-row-container{\r\n                justify-content: initial;\r\n                flex-direction: column;\r\n            }\r\n            .lwrp .lwrp-list-row-container .lwrp-list-item{\r\n                width: 100%;\r\n            }\r\n            .lwrp .lwrp-list-item:not(.lwrp-no-posts-message-item){\r\n                \r\n                \r\n            }\r\n            .lwrp .lwrp-list-item .lwrp-list-link .lwrp-list-link-title-text,\r\n            .lwrp .lwrp-list-item .lwrp-list-no-posts-message{\r\n                \r\n                \r\n                \r\n                \r\n            };\r\n        }<\/style>\r\n<div id=\"link-whisper-related-posts-widget\" class=\"link-whisper-related-posts lwrp\">\r\n            <h3 class=\"lwrp-title\">Related Topics and Pages<\/h3>    \r\n        <div class=\"lwrp-list-container\">\r\n                                            <ul class=\"lwrp-list lwrp-list-single\">\r\n                    <li class=\"lwrp-list-item\"><a href=\"https:\/\/suprmind.ai\/hub\/es\/methodology\/vecindario-semantico\/\" class=\"lwrp-list-link\"><span class=\"lwrp-list-link-title-text\">Vecindario sem\u00e1ntico<\/span><\/a><\/li><li class=\"lwrp-list-item\"><a href=\"https:\/\/suprmind.ai\/hub\/de\/insights\/ki-halluzinationsstatistiken-forschungsbericht-2026\/\" class=\"lwrp-list-link\"><span class=\"lwrp-list-link-title-text\">KI-Halluzinationsstatistiken: Forschungsbericht 2026<\/span><\/a><\/li><li class=\"lwrp-list-item\"><a href=\"https:\/\/suprmind.ai\/hub\/insights\/autonomous-ai-agents-architectures-and-reliability\/\" class=\"lwrp-list-link\"><span class=\"lwrp-list-link-title-text\">Autonomous AI Agents: Architectures and Reliability<\/span><\/a><\/li><li class=\"lwrp-list-item\"><a href=\"https:\/\/suprmind.ai\/hub\/insights\/ai-meeting-notes-beyond-basic-transcription\/\" class=\"lwrp-list-link\"><span class=\"lwrp-list-link-title-text\">AI Meeting Notes: Beyond Basic Transcription<\/span><\/a><\/li><li class=\"lwrp-list-item\"><a href=\"https:\/\/suprmind.ai\/hub\/insights\/best-ai-for-creating-business-plans-2\/\" class=\"lwrp-list-link\"><span class=\"lwrp-list-link-title-text\">Best AI for Creating Business Plans<\/span><\/a><\/li><li class=\"lwrp-list-item\"><a href=\"https:\/\/suprmind.ai\/hub\/insights\/decision-intelligence\/\" class=\"lwrp-list-link\"><span class=\"lwrp-list-link-title-text\">Decision Intelligence<\/span><\/a><\/li><li class=\"lwrp-list-item\"><a href=\"https:\/\/suprmind.ai\/hub\/de\/methodology\/erwaehnungsrate\/\" class=\"lwrp-list-link\"><span class=\"lwrp-list-link-title-text\">Erw\u00e4hnungsrate<\/span><\/a><\/li><li class=\"lwrp-list-item\"><a href=\"https:\/\/suprmind.ai\/hub\/de\/methodology\/ai-authority-rank\/\" class=\"lwrp-list-link\"><span class=\"lwrp-list-link-title-text\">AI Authority Rank<\/span><\/a><\/li>                <\/ul>\r\n                        <\/div>\r\n<\/div>","protected":false},"excerpt":{"rendered":"<p>Settings > Usage Control lists all three teams &#8211; The A-team, Operators, Daily Drivers &#8211; with one seat per provider. Every seat has a dropdown showing that provider&#8217;s full model lineup. Want Opus 5 doing the parsing work in Daily Drivers? Fine. Want Haiku 4.5 in the A-team because you are running high-volume and want the runway? Also fine. Reset team restores defaults per team, not sitewide.<\/p>\n","protected":false},"author":1,"featured_media":6303,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"wpai_meta_description":"","footnotes":""},"categories":[623],"tags":[624,839],"class_list":["post-6960","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-changelog","tag-changelog","tag-suprmind-upgrades"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO Pro 4.9.9 - aioseo.com -->\n\t<meta name=\"description\" content=\"Between the start of July and yesterday, nine new models landed in Suprmind. 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He is best known for building systems that remove guesswork from strategy and execution.\\u00a0 His current focus is Suprmind.ai, a multi AI decision validation platform that turns conflicting model opinions into structured output. Suprmind is built around a simple rule: disagreement is the feature. Instead of one confident answer, you get competing arguments, pressure tests, and a final synthesis you can act on. Why Suprmind? In 2023, Radomir Basta's agency team started using AI models across every part of client work. ChatGPT for content drafts. Claude for analysis. Gemini for research. Perplexity for fact-checking. Grok for real-time data. Within six months, a pattern became obvious. Every important question ended up in three or four browser tabs. Each model gave a confident answer. The answers often disagreed. There was no clean way to reconcile them. For low-stakes work this was fine. Write an email. Summarize a document. Ask one AI, move on. But agency work was not always low-stakes. Pricing strategies that shaped a client's entire quarterly revenue. Messaging for product launches that could not be undone. Targeting calls that would define a brand's public reputation. Single-model confidence on questions like those was gambling with somebody else's money. Suprmind.ai is what came out of that frustration. Launched in 2025, it puts five frontier models in one orchestrated thread - not side-by-side, but in genuine structured conversation where each model reads what the others said before responding. A shared Context Fabric keeps all five synchronized across long sessions. A Knowledge Graph builds a passive project brain over time, retaining entities, decisions, and relationships that would otherwise vanish between sessions. The Scribe extracts action items and synthesized conclusions in real time. A Disagreement\\\/Correction Index quantifies exactly how much the models agree or diverge on any given turn. The principle behind the design: disagreement is the feature. When the models agree, conviction has been earned. When they disagree, the uncertainty has been made visible before it becomes an expensive mistake. The Pattern Behind the Product Suprmind is not the first tool Basta has built this way. It is the seventh. Over fifteen years running Four Dots, the digital marketing agency he co-founded in 2013, he has hit the same wall repeatedly. A client needs something. No existing tool solves it properly. The answer is always the same: build it. That habit produced Base.me for link building management (now maintaining an 80% link survival rate for Four Dots versus the 60% industry average). Reportz.io for real-time client reporting (tracking over a billion marketing events annually across 30+ channels). Dibz.me for prospecting. TheTrustmaker for conversion social proof. UberPress.ai for automated content. FAII.ai for AI visibility monitoring across ChatGPT, Claude, Gemini, Grok, and Perplexity. Each platform started as an internal solution to an internal problem. Each one eventually proved useful enough that other agencies and in-house teams started paying to use it. Suprmind follows the same logic applied to a different problem. The agency needed multi-model AI validation for high-stakes recommendations. Existing tools offered parallel comparison, not orchestrated collaboration. So he built orchestrated collaboration. The Agency That Funded the Lab Four Dots is the infrastructure that made Suprmind possible. Basta co-founded the agency in 2013 with three partners who still run it alongside him. Twelve years later, Four Dots operates from offices in New York, Belgrade, Novi Sad, Sydney, and Hong Kong. Thirty-plus specialists. Worked with more than 200 clients across three continents. Google Premier Partner status - the top three percent of agencies on the market. The client list reflects the positioning. Coca-Cola, Philip Morris International, Orange Telecommunications, Beko, and Air Serbia alongside many mid-market brands. Work with enterprise accounts at that scale generates the cash flow, the problem surface, and the feedback loop a product lab needs. The agency grew on organic referrals, without outside capital, and operates strictly month-to-month. That structural exposure - prove value or lose the client in thirty days - is the pressure that surfaces the problems Suprmind was built to solve. Suprmind was not built by a solo founder guessing at user needs. It was built by a working agency that encountered the problem daily, on accounts where the cost of being wrong was measured in six figures. The Practitioner Background Basta started as a hands-on SEO consultant in 2010. Fifteen years later, he still reviews crawl data, audits link profiles, and weighs in on keyword decisions for enterprise Four Dots accounts. That practitioner background shaped how Suprmind was designed. Debate mode exists because he has watched real agency strategies fall apart under first-contact pressure-testing and wanted a way to catch those failures before clients did. The Decision Validation Engine exists because executives need verdicts, not essays. Research Symphony has a four-stage pipeline - retrieval, pattern analysis, critical validation, actionable synthesis - because real research is never one pass. Suprmind was designed by someone who needed it to actually work on actual problems. Not a demo. Not a prototype. A tool his agency uses daily on client deliverables. Teaching, Writing, Speaking The same background that informs Suprmind's design also shows up in public work. Principal SEO lecturer at Belgrade's Digital Communications Institute since 2013. Author of The Good Book of SEO in 2020. Member and contributor to the Forbes Agency Council, with pieces on client reporting quality, mobile-first advertising, and brand building. Author at BrandingMag, and regular speaker at regional and international digital marketing conferences. None of those credentials make Suprmind work better. What they make clear is the kind of builder behind it. Someone who has spent fifteen years teaching, writing about, and publicly defending how this work actually gets done. The Suprmind Bet The bet is straightforward. The professionals who make consequential decisions are not going to keep settling for one confident answer from one AI system. They are going to want validation. They are going to want to see where the models disagree. They are going to want the disagreements surfaced as a feature, not buried as noise. Suprmind is the infrastructure for that kind of work. If your work involves recommendations that carry weight, the tool was built for you. If you have ever copy-pasted the same question into three AI tabs and tried to synthesize the answers manually, the tool was built for you. If you have ever trusted a single-model answer and later wished you had not, the tool was especially built for you. 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He is best known for building systems that remove guesswork from strategy and execution.\u00a0 His current focus is Suprmind.ai, a multi AI decision validation platform that turns conflicting model opinions into structured output. Suprmind is built around a simple rule: disagreement is the feature. Instead of one confident answer, you get competing arguments, pressure tests, and a final synthesis you can act on. Why Suprmind? In 2023, Radomir Basta's agency team started using AI models across every part of client work. ChatGPT for content drafts. Claude for analysis. Gemini for research. Perplexity for fact-checking. Grok for real-time data. Within six months, a pattern became obvious. Every important question ended up in three or four browser tabs. Each model gave a confident answer. The answers often disagreed. There was no clean way to reconcile them. For low-stakes work this was fine. Write an email. Summarize a document. Ask one AI, move on. But agency work was not always low-stakes. Pricing strategies that shaped a client's entire quarterly revenue. Messaging for product launches that could not be undone. Targeting calls that would define a brand's public reputation. Single-model confidence on questions like those was gambling with somebody else's money. Suprmind.ai is what came out of that frustration. Launched in 2025, it puts five frontier models in one orchestrated thread - not side-by-side, but in genuine structured conversation where each model reads what the others said before responding. A shared Context Fabric keeps all five synchronized across long sessions. A Knowledge Graph builds a passive project brain over time, retaining entities, decisions, and relationships that would otherwise vanish between sessions. The Scribe extracts action items and synthesized conclusions in real time. A Disagreement\/Correction Index quantifies exactly how much the models agree or diverge on any given turn. The principle behind the design: disagreement is the feature. When the models agree, conviction has been earned. When they disagree, the uncertainty has been made visible before it becomes an expensive mistake. The Pattern Behind the Product Suprmind is not the first tool Basta has built this way. It is the seventh. Over fifteen years running Four Dots, the digital marketing agency he co-founded in 2013, he has hit the same wall repeatedly. A client needs something. No existing tool solves it properly. The answer is always the same: build it. That habit produced Base.me for link building management (now maintaining an 80% link survival rate for Four Dots versus the 60% industry average). Reportz.io for real-time client reporting (tracking over a billion marketing events annually across 30+ channels). Dibz.me for prospecting. TheTrustmaker for conversion social proof. UberPress.ai for automated content. FAII.ai for AI visibility monitoring across ChatGPT, Claude, Gemini, Grok, and Perplexity. Each platform started as an internal solution to an internal problem. Each one eventually proved useful enough that other agencies and in-house teams started paying to use it. Suprmind follows the same logic applied to a different problem. The agency needed multi-model AI validation for high-stakes recommendations. Existing tools offered parallel comparison, not orchestrated collaboration. So he built orchestrated collaboration. The Agency That Funded the Lab Four Dots is the infrastructure that made Suprmind possible. Basta co-founded the agency in 2013 with three partners who still run it alongside him. Twelve years later, Four Dots operates from offices in New York, Belgrade, Novi Sad, Sydney, and Hong Kong. Thirty-plus specialists. Worked with more than 200 clients across three continents. Google Premier Partner status - the top three percent of agencies on the market. The client list reflects the positioning. Coca-Cola, Philip Morris International, Orange Telecommunications, Beko, and Air Serbia alongside many mid-market brands. Work with enterprise accounts at that scale generates the cash flow, the problem surface, and the feedback loop a product lab needs. The agency grew on organic referrals, without outside capital, and operates strictly month-to-month. That structural exposure - prove value or lose the client in thirty days - is the pressure that surfaces the problems Suprmind was built to solve. Suprmind was not built by a solo founder guessing at user needs. It was built by a working agency that encountered the problem daily, on accounts where the cost of being wrong was measured in six figures. The Practitioner Background Basta started as a hands-on SEO consultant in 2010. Fifteen years later, he still reviews crawl data, audits link profiles, and weighs in on keyword decisions for enterprise Four Dots accounts. That practitioner background shaped how Suprmind was designed. Debate mode exists because he has watched real agency strategies fall apart under first-contact pressure-testing and wanted a way to catch those failures before clients did. The Decision Validation Engine exists because executives need verdicts, not essays. Research Symphony has a four-stage pipeline - retrieval, pattern analysis, critical validation, actionable synthesis - because real research is never one pass. Suprmind was designed by someone who needed it to actually work on actual problems. Not a demo. Not a prototype. A tool his agency uses daily on client deliverables. Teaching, Writing, Speaking The same background that informs Suprmind's design also shows up in public work. Principal SEO lecturer at Belgrade's Digital Communications Institute since 2013. Author of The Good Book of SEO in 2020. Member and contributor to the Forbes Agency Council, with pieces on client reporting quality, mobile-first advertising, and brand building. Author at BrandingMag, and regular speaker at regional and international digital marketing conferences. None of those credentials make Suprmind work better. What they make clear is the kind of builder behind it. Someone who has spent fifteen years teaching, writing about, and publicly defending how this work actually gets done. The Suprmind Bet The bet is straightforward. The professionals who make consequential decisions are not going to keep settling for one confident answer from one AI system. They are going to want validation. They are going to want to see where the models disagree. They are going to want the disagreements surfaced as a feature, not buried as noise. Suprmind is the infrastructure for that kind of work. If your work involves recommendations that carry weight, the tool was built for you. If you have ever copy-pasted the same question into three AI tabs and tried to synthesize the answers manually, the tool was built for you. If you have ever trusted a single-model answer and later wished you had not, the tool was especially built for you. Connect  LinkedIn: linkedin.com\/in\/radomirbasta Full profile at Four Dots: fourdots.com\/about-radomir-basta Forbes Agency Council: Author profile BrandingMag: Author profile Medium: medium.com\/@radomirbasta The Good Book of SEO: thegoodbookofseo.com  \u00a0","jobTitle":"CEO & Founder"},{"@type":"WebPage","@id":"https:\/\/suprmind.ai\/hub\/ja\/insights\/nine-new-models-in-three-weeks-and-you-were-already-using-most-of-them\/#webpage","url":"https:\/\/suprmind.ai\/hub\/ja\/insights\/nine-new-models-in-three-weeks-and-you-were-already-using-most-of-them\/","name":"Nine New Models in Three Weeks - Suprmind","description":"Between the start of July and yesterday, nine new models landed in Suprmind. 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