{"id":720653,"date":"2026-04-09T06:00:27","date_gmt":"2026-04-09T03:00:27","guid":{"rendered":"https:\/\/buradabiliyorum.com\/en\/metas-muse-spark-is-here-and-its-closed-source\/"},"modified":"2026-04-09T06:00:27","modified_gmt":"2026-04-09T03:00:27","slug":"metas-muse-spark-is-here-and-its-closed-source","status":"publish","type":"post","link":"https:\/\/buradabiliyorum.com\/en\/metas-muse-spark-is-here-and-its-closed-source\/","title":{"rendered":"Meta\u2019s Muse Spark is here \u2013 and it\u2019s closed source"},"content":{"rendered":"<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_84 counter-hierarchy ez-toc-counter ez-toc-custom ez-toc-container-direction\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">Table of Contents<\/p>\n<label for=\"ez-toc-cssicon-toggle-item-6a2edcaa3146b\" class=\"ez-toc-cssicon-toggle-label\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #dd3333;color:#dd3333\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #dd3333;color:#dd3333\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/label><input type=\"checkbox\"  id=\"ez-toc-cssicon-toggle-item-6a2edcaa3146b\" checked aria-label=\"Toggle\" \/><nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/buradabiliyorum.com\/en\/metas-muse-spark-is-here-and-its-closed-source\/#Nine_months_to_rebuild_the_stack\" >Nine months to rebuild the stack<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/buradabiliyorum.com\/en\/metas-muse-spark-is-here-and-its-closed-source\/#Where_the_benchmarks_tell_a_complicated_story\" >Where the benchmarks tell a complicated story<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/buradabiliyorum.com\/en\/metas-muse-spark-is-here-and-its-closed-source\/#Shopping_health_and_the_%E2%80%98personal_superintelligence_thesis\" >Shopping, health, and the \u2018personal superintelligence\u2019 thesis<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/buradabiliyorum.com\/en\/metas-muse-spark-is-here-and-its-closed-source\/#A_closed_model_from_the_company_that_built_Llama\" >A closed model from the company that built Llama<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/buradabiliyorum.com\/en\/metas-muse-spark-is-here-and-its-closed-source\/#The_arithmetic_of_a_143_billion_bet\" >The arithmetic of a $14.3 billion bet<\/a><\/li><\/ul><\/nav><\/div>\n<div id=\"article-main-content\">\n<p><em><strong>In short:<\/strong><span>\u00a0<\/span><a rel=\"nofollow\" target=\"_blank\" href=\"https:\/\/ai.meta.com\/blog\/introducing-muse-spark-msl\/\" target=\"_blank\" rel=\"nofollow noopener\">Meta has released Muse Spark<\/a>, the first model from Meta Superintelligence Labs, the unit it assembled under Alexandr Wang after spending $14.3 billion to acquire a stake in Scale AI. Rebuilt from scratch over nine months, the model is natively multimodal, introduces a \u201cContemplating\u201d reasoning mode that runs sub-agents in parallel, and is now powering Meta AI across the company\u2019s platforms. In a break from Meta\u2019s Llama heritage, it is closed source.<\/em><\/p>\n<p>The model\u2019s arrival closes a chapter that began in June 2025, when Mark Zuckerberg announced Meta Superintelligence Labs and installed Wang as the company\u2019s first-ever chief AI officer. The mandate was explicit: catch up with OpenAI, Anthropic, and Google, and do so with a team and infrastructure rebuilt specifically for the task. Nine months later, that team has something to show for it.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Nine_months_to_rebuild_the_stack\"><\/span>Nine months to rebuild the stack<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u201c<em>Nine months ago we rebuilt our AI stack from scratch<\/em>,\u201d Wang wrote on X on Wednesday. \u201c<em>New infrastructure, new architecture, new data pipelines. Muse Spark is the result of that work, and now it powers Meta AI<\/em>.\u201d The statement is a direct acknowledgement of how deep the rebuild went: not a fine-tuned iteration on an existing architecture, but a replacement of the foundational infrastructure from which Meta\u2019s models are trained.<\/p>\n<p>The model, known internally as Avocado, had been delayed earlier this year after falling short of rivals in internal tests for reasoning, coding, and writing.<span>\u00a0<\/span>The release on Wednesday suggests those gaps have been addressed to a degree that Meta considers competitive, even if the benchmark picture remains mixed. Wang\u2019s framing emphasises process over product: Muse Spark is described as the first in a family of models, not a definitive answer to the frontier leaders.<\/p>\n<div class=\"inarticle-wrapper latest channel-cta hs-embed-tnw\">\n<div id=\"hs-embed-tnw\" class=\"channel-cta-wrapper\">\n<div class=\"channel-cta-img\"><img decoding=\"async\" class=\"js-lazy\" src=\"https:\/\/s3.eu-west-1.amazonaws.com\/tnw.events\/hardfork-2018\/uploads\/visuals\/tnw-newsletter.png\"\/><\/div>\n<p><img decoding=\"async\" src=\"https:\/\/s3.eu-west-1.amazonaws.com\/tnw.events\/hardfork-2018\/uploads\/visuals\/tnw-newsletter.png\"\/><\/p>\n<div class=\"channel-cta-input\">\n<p class=\"channel-cta-title\">The \ud83d\udc9c of EU tech<\/p>\n<p class=\"channel-cta-tagline\">The latest rumblings from the EU tech scene, a story from our wise ol&#8217; founder Boris, and some questionable AI art. It&#8217;s free, every week, in your inbox. Sign up now!<\/p>\n<\/div>\n<\/div>\n<\/div>\n<p>Muse Spark is natively multimodal, accepting voice, text, and image inputs, with text-only output at launch. It operates in a fast mode for casual queries, and a new \u201cContemplating\u201d mode that orchestrates multiple sub-agents to reason in parallel, a direct bid to compete with the extended reasoning modes offered by Google\u2019s Gemini Deep Think and OpenAI\u2019s GPT-5.4 Pro. A key efficiency claim accompanies the release: Meta says Muse Spark achieves its reasoning capability using more than ten times less compute than Llama 4 Maverick, driven by a training technique called \u201c<em>thought compression<\/em>\u201d in which the model is penalised during reinforcement learning for excessive thinking time, forcing it to solve problems with fewer reasoning tokens without sacrificing accuracy.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Where_the_benchmarks_tell_a_complicated_story\"><\/span>Where the benchmarks tell a complicated story<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Meta\u2019s published benchmarks place Muse Spark fourth on the Artificial Analysis Intelligence Index v4.0, with a score of 52, behind Gemini 3.1 Pro Preview and GPT-5.4 (both at 57) and Claude Opus 4.6 (53). The overall ranking reflects a genuinely mixed performance profile rather than a uniform shortfall.<\/p>\n<p>On GPQA Diamond, the graduate-level scientific reasoning benchmark, Muse Spark scored 89.5%, trailing Gemini 3.1 Pro\u2019s 94.3%, OpenAI\u2019s GPT-5.4 at 92.8%, and Claude Opus 4.6 at 92.7%. On ARC AGI 2, the abstract reasoning benchmark, the gap is more significant: Muse Spark scored 42.5 in Contemplating mode against Gemini 3.1 Pro\u2019s 76.5 and GPT-5.4\u2019s 76.1, a difference that suggests the model\u2019s parallel sub-agent architecture does not fully close the distance on abstract reasoning tasks. On software engineering, Muse Spark scored 77.4% on SWE-bench Verified.<\/p>\n<p>The areas where Muse Spark leads are specific and, not coincidentally, aligned with the particular advantages Meta can bring to bear. On CharXiv Reasoning, which tests figure and chart understanding from images, Muse Spark scored 86.4 in Contemplating mode, ahead of both Gemini 3.1 Pro\u2019s 80.2 and GPT-5.4\u2019s 82.8. On HealthBench Hard, a medical reasoning evaluation, Muse Spark scored 42.8%, a figure that reflects the model\u2019s training on data curated in collaboration with more than 1,000 physicians. Claude Opus 4.6 scored 14.8% on the same evaluation; GPT-5.4 scored 40.1%.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Shopping_health_and_the_%E2%80%98personal_superintelligence_thesis\"><\/span>Shopping, health, and the \u2018personal superintelligence\u2019 thesis<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>The health benchmark result is not incidental. Meta\u2019s differentiation argument for Muse Spark rests heavily on the model\u2019s ability to combine <a href=\"https:\/\/buradabiliyorum.com\/en\/category\/general\/\" data-internallinksmanager029f6b8e52c=\"3\" title=\"General\" target=\"_blank\" rel=\"noopener\">general<\/a> reasoning capability with the specific data advantages Meta has over its competitors: three billion users, their interests, their social graphs, and now their health queries. Zuckerberg described Muse Spark as \u201ca world-class assistant and particularly strong in areas related to personal superintelligence like visual understanding, health, social content, shopping, <a href=\"https:\/\/buradabiliyorum.com\/en\/category\/game\/\" data-internallinksmanager029f6b8e52c=\"7\" title=\"Game\" target=\"_blank\" rel=\"noopener\">game<\/a>s, and more\u201d in a <a href=\"https:\/\/buradabiliyorum.com\/en\/category\/social-mediaa\/\" data-internallinksmanager029f6b8e52c=\"1\" title=\"Social Media\" target=\"_blank\" rel=\"noopener\">Facebook<\/a> post accompanying the release.<\/p>\n<p>A dedicated shopping mode represents the clearest expression of that thesis. The feature draws on content from creators within Meta\u2019s ecosystem alongside signals about individual user interests and behaviour, enabling recommendations that a general-purpose model trained without that context cannot easily replicate. The health capabilities follow the same logic: a model trained with 1,000 physicians on the training team can analyse the nutritional content of a food photo or provide structured guidance on dietary health in ways that general-purpose reasoning does not reliably produce. These are areas where Meta\u2019s platform data is genuinely a competitive advantage rather than a marketing claim.<\/p>\n<p>Muse Spark is currently powering queries in the Meta AI <a href=\"https:\/\/buradabiliyorum.com\/en\/category\/download-scripts-themes-apps\/\" data-internallinksmanager029f6b8e52c=\"9\" title=\"Download Scripts &amp; Themes &amp; Apps\" target=\"_blank\" rel=\"noopener\">app<\/a> and Meta.ai website and will expand across Facebook, Instagram, and WhatsApp.<span>\u00a0<\/span>Meta has also been building out the MSL team through acquisitions, most recently acquiring Moltbook, an AI agent social network whose co-founders joined MSL directly.<span>\u00a0<\/span>The combined effect is a unit that is assembling both the models and the agentic infrastructure to run on top of them.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"A_closed_model_from_the_company_that_built_Llama\"><\/span>A closed model from the company that built Llama<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>The detail that will attract the most scrutiny from Meta\u2019s developer community is the one buried in the product announcement: Muse Spark is closed source.<span>\u00a0<\/span>Meta\u2019s Llama <a href=\"https:\/\/buradabiliyorum.com\/en\/category\/watch-movies-tv-seriess\/\" data-internallinksmanager029f6b8e52c=\"8\" title=\"Watch Movies &amp; TV Series\" target=\"_blank\" rel=\"noopener\">series<\/a> established the template for open-source AI model development through 2025, with successive versions providing the foundation for thousands of applications, research projects, and competing products. Muse Spark breaks that pattern.<\/p>\n<p>Meta has indicated it hopes to release future versions of the model under an open-source licence, framing the current closure as temporary rather than strategic. The more candid reading is that open-source models, however valuable for ecosystem development, sacrifice the competitive advantage that comes from keeping architectural innovations proprietary while rivals are trying to close a capability gap. The pivot to a closed model is a signal that Meta now considers itself in a race it can afford to lose fewer laps of.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"The_arithmetic_of_a_143_billion_bet\"><\/span>The arithmetic of a $14.3 billion bet<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>The Wang deal was structured as a $14.3 billion investment by Meta for a 49% non-voting stake in Scale AI, with Wang moving to Meta as chief AI officer while remaining on Scale\u2019s board.<span>\u00a0<\/span>The capital Meta has been deploying into AI infrastructure<span>\u00a0<\/span>extends well beyond that single transaction: the company has guided for between $115 billion and $135 billion in capital expenditure in 2026, up from $72.22 billion in 2025. Muse Spark is the first product-level output from that spending, and it arrives into a market where investors have been watching closely to see whether the investment thesis holds.<\/p>\n<p>Meta\u2019s shares rose approximately 9% on Wednesday, though the move was amplified by a broader market rally following diplomatic developments unrelated to the model launch. The more meaningful signal is in the benchmark table and in the use cases Meta has chosen to lead with: not coding benchmarks where it trails, but health and visual understanding, where it leads.<span>\u00a0<\/span>The capital environment underwriting frontier AI development<span>\u00a0<\/span>has made scale a necessary but not sufficient condition for competitiveness. Meta\u2019s answer, at least with Muse Spark, is that the sufficient condition is knowing which specific battles to win.<\/p>\n<\/p><\/div>\n<blockquote><p><strong><span style=\"color: #ff6600;\">If you liked the article, do not forget to share it with your friends. Follow us on\u00a0<span style=\"color: #ff0000;\"><a style=\"color: #ff0000;\" href=\"https:\/\/news.google.com\/publications\/CAAqBwgKMN63nwsw68G3Aw\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">Google News<\/a><\/span>\u00a0too, click on the star and choose us from your favorites.<\/span><\/strong><\/p><\/blockquote>\n<blockquote>\n<p style=\"text-align: center;\"><strong>If you want to read more like this article, you can visit our <span style=\"color: #ff9900;\"><a style=\"color: #ff9900;\" href=\"https:\/\/buradabiliyorum.com\/en\/category\/technology\/\" target=\"_blank\" >Technology category.<\/a><\/span><\/strong><\/p>\n<\/blockquote>\n<p><span style=\"color: black;\"><a style=\"color: #ff9900;\" href=\"https:\/\/thenextweb.com\/news\/meta-muse-spark-msl-first-model\" target=\"_blank\" >Source<\/a><\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>In short:\u00a0Meta has released Muse Spark, the first model from Meta Superintelligence Labs, the unit it assembled under Alexandr Wang after spending $14.3 billion to acquire a stake in Scale AI. Rebuilt from scratch over nine months, the model is natively multimodal, introduces a \u201cContemplating\u201d reasoning mode that runs sub-agents in parallel, and is now&#8230;<\/p>\n","protected":false},"author":1,"featured_media":720654,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"fifu_image_url":"https:\/\/cdn0.tnwcdn.com\/wp-content\/blogs.dir\/1\/files\/2026\/04\/meta-muse-spark-msl-first-model.png","fifu_image_alt":"","footnotes":""},"categories":[18],"tags":[],"class_list":["post-720653","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-technology"],"_links":{"self":[{"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/posts\/720653","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/comments?post=720653"}],"version-history":[{"count":0,"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/posts\/720653\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/media\/720654"}],"wp:attachment":[{"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/media?parent=720653"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/categories?post=720653"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/tags?post=720653"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}