{"id":382625,"date":"2025-08-29T14:13:15","date_gmt":"2025-08-29T14:13:15","guid":{"rendered":"https:\/\/www.europesays.com\/uk\/382625\/"},"modified":"2025-08-29T14:13:15","modified_gmt":"2025-08-29T14:13:15","slug":"microsoft-unveils-home-made-ml-models-amid-openai-talks-the-register","status":"publish","type":"post","link":"https:\/\/www.europesays.com\/uk\/382625\/","title":{"rendered":"Microsoft unveils home-made ML models amid OpenAI talks \u2022 The Register"},"content":{"rendered":"<p>Microsoft has introduced two home-grown machine learning models, potentially complicating negotiations with its current favored model supplier, OpenAI.<\/p>\n<p>On Thursday, Microsoft AI (MAI) debuted MAI-Voice-1, which generates realistic sounding speech from text, and MAI-1-preview, a model it\u2019s testing as the future basis of the company&#8217;s Copilot service.<\/p>\n<p>In a Semafor video interview, MAI CEO Mustafa Suleyman explained Microsoft needs its own foundation models is because AI is fundamental to the company&#8217;s business.<\/p>\n<p>&#8220;We have to be able to have the in-house expertise to create the strongest models in the world,&#8221; he <a href=\"https:\/\/youtu.be\/Zo-ZtQPkzhU?feature=shared&amp;t=33\" rel=\"nofollow noopener\" target=\"_blank\">said<\/a>.<\/p>\n<p>At the same time, Suleyman insisted Microsoft&#8217;s collaboration with OpenAI has been successful so far, and expressed hope it will continue.<\/p>\n<p>If Redmond can create the strongest models in the world, it&#8217;s unclear why it would continue paying OpenAI for less capable technology unless it&#8217;s contractually obliged to do so.<\/p>\n<p>Microsoft has already invested around $13 billion in OpenAI and the two firms are <a href=\"https:\/\/www.ft.com\/content\/b81d5fb6-26e9-417a-a0cc-6b6689b70c98\" rel=\"nofollow noopener\" target=\"_blank\">reportedly<\/a> trying to renegotiate their contract, set to expire in 2030, so that OpenAI can restructure for a future public offering. Separately, OpenAI is said to be discussing the potential sale of shares owned by employees to investors in a deal that would see the unprofitable firm <a href=\"https:\/\/www.nytimes.com\/2025\/08\/19\/technology\/openai-chatgpt-stock-sale-valuation.html\" rel=\"nofollow noopener\" target=\"_blank\">valued at $500 billion<\/a>.<\/p>\n<p>Last year, Microsoft opted not to release its VALL-E 2 speech synthesis project to the public because of potential abuses &#8220;such as spoofing voice identification or impersonating a specific speaker.&#8221; OpenAI took similar steps, limiting access to its Voice Engine for speech synthesis. And when Consumer Reports looked at voice cloning services, it found <a href=\"https:\/\/www.theregister.com\/2025\/03\/10\/ai_voice_cloning_safeguards\/\" target=\"_blank\" rel=\"noopener\">most firms didn&#8217;t do enough<\/a> to prevent unauthorized impersonation.<\/p>\n<p>Yet MAI-Voice-1 has <a href=\"https:\/\/copilot.microsoft.com\/labs\/audio-expression\" rel=\"nofollow noopener\" target=\"_blank\">arrived in Copilot Labs<\/a> with only a minimalist warning: &#8220;Copilot may make mistakes.&#8221; It also powers <a href=\"https:\/\/copilot.microsoft.com\/daily\" rel=\"nofollow noopener\" target=\"_blank\">Copilot Daily<\/a>, an online AI-voiced summary of news and historic events, and <a target=\"_blank\" rel=\"nofollow noopener\" href=\"https:\/\/copilot.microsoft.com\/podcasts\/public\/JxdJSpNDNcfBnUfRf62gH\">Copilot Podcasts<\/a>.<\/p>\n<p>&#8220;MAI-Voice-1 is a lightning-fast speech generation model, with an ability to generate a full minute of audio in under a second on a single GPU, making it one of the most efficient speech systems available today,&#8221; said MAI in <a href=\"https:\/\/microsoft.ai\/news\/two-new-in-house-models\/\" rel=\"nofollow noopener\" target=\"_blank\">an online post<\/a>.<\/p>\n<p>Microsoft let model evaluation platform LMArena test MAI-1, but it isn\u2019t available the public. Would-be testers in the US can <a href=\"https:\/\/forms.microsoft.com\/pages\/responsepage.aspx?id=v4j5cvGGr0GRqy180BHbRyRliS0ly-JEvgSpwo3yWyhUQkdTQktBUkFaWERHR1JFRjgwMlZUUkQxTC4u&amp;route=shorturl\" rel=\"nofollow noopener\" target=\"_blank\">apply for access<\/a>.<\/p>\n<p>LMArena currently <a href=\"https:\/\/lmarena.ai\/leaderboard\/text\" rel=\"nofollow noopener\" target=\"_blank\">ranks<\/a> Microsoft\u2019s model the equal thirteenth most effective in terms of output quality, behind grok-3-preview-02-24 and ahead of gemini-2.5-flash.<\/p>\n<p>&#8220;MAI-1-preview is an in-house mixture-of-experts model, pre-trained and post-trained on ~15,000 NVIDIA H100 GPUs,&#8221; MAI said. &#8220;This model is designed to provide powerful capabilities to consumers seeking to benefit from models that specialize in following instructions and providing helpful responses to everyday queries.&#8221;<\/p>\n<p>That&#8217;s significantly fewer GPUs than the <a href=\"https:\/\/nvidianews.nvidia.com\/news\/spectrum-x-ethernet-networking-xai-colossus\" rel=\"nofollow noopener\" target=\"_blank\">100,000 Nvidia H100s<\/a> powering xAI&#8217;s Colossus supercomputer cluster. And it&#8217;s comparable with Meta&#8217;s Llama-3.1 model, which required <a href=\"https:\/\/ai.meta.com\/blog\/meta-llama-3-1\/\" rel=\"nofollow noopener\" target=\"_blank\">over 16,000 Nvidia H100s<\/a>.<\/p>\n<p>Microsoft, which says its <a href=\"https:\/\/www.nvidia.com\/en-us\/data-center\/dgx-gb200\/\" rel=\"nofollow noopener\" target=\"_blank\">GB200<\/a> cluster is now operational, expects to expose MAI-1-preview for specific Copilot scenarios in the coming weeks, so it can gather data about the model&#8217;s performance.<\/p>\n<p>OpenAI did not respond to a request for comment. \u00ae<\/p>\n","protected":false},"excerpt":{"rendered":"Microsoft has introduced two home-grown machine learning models, potentially complicating negotiations with its current favored model supplier, OpenAI.&hellip;\n","protected":false},"author":2,"featured_media":382626,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3163],"tags":[323,1942,53,16,15],"class_list":{"0":"post-382625","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-artificial-intelligence","8":"tag-ai","9":"tag-artificial-intelligence","10":"tag-technology","11":"tag-uk","12":"tag-united-kingdom"},"share_on_mastodon":{"url":"https:\/\/pubeurope.com\/@uk\/115112470413618491","error":""},"_links":{"self":[{"href":"https:\/\/www.europesays.com\/uk\/wp-json\/wp\/v2\/posts\/382625","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.europesays.com\/uk\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.europesays.com\/uk\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/uk\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/uk\/wp-json\/wp\/v2\/comments?post=382625"}],"version-history":[{"count":0,"href":"https:\/\/www.europesays.com\/uk\/wp-json\/wp\/v2\/posts\/382625\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/uk\/wp-json\/wp\/v2\/media\/382626"}],"wp:attachment":[{"href":"https:\/\/www.europesays.com\/uk\/wp-json\/wp\/v2\/media?parent=382625"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.europesays.com\/uk\/wp-json\/wp\/v2\/categories?post=382625"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.europesays.com\/uk\/wp-json\/wp\/v2\/tags?post=382625"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}