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Microsoft Launches Three In-House AI Models, Signaling Shift From OpenAI Partnership

Microsoft Launches Three In-House AI Models, Signaling Shift From OpenAI Partnership

Six months after renegotiating its contract with OpenAI, Microsoft unveiled MAI-Transcribe-1, MAI-Voice-1 and MAI-Image-2 on its Foundry platform. The new models, built by a ten‑person team, boast lower error rates, faster speeds and competitive pricing, giving the tech giant a functional AI stack independent of its former partner. The rollout underscores Microsoft’s new freedom to pursue "humanist superintelligence" and could reshape enterprise AI spending.

Trump's AI Data Center Push Stalls Amid Chinese Parts Shortage and Tariffs

Trump's AI Data Center Push Stalls Amid Chinese Parts Shortage and Tariffs

President Donald Trump’s effort to fast‑track AI data center construction is hitting a wall. Developers say aggressive tariffs on Chinese imports have crippled the supply chain for essential power‑equipment components, pushing delivery times from months to years. With U.S. manufacturers unable to meet demand, nearly half of the year’s planned facilities face delay or cancellation, jeopardizing the administration’s goal of keeping America ahead in the artificial‑intelligence race.

Google Launches Gemma 4 Models and Shifts to Apache 2.0 License

Google Launches Gemma 4 Models and Shifts to Apache 2.0 License

Google introduced the Gemma 4 family of open-weight AI models, offering four variants optimized for local execution and mobile devices. The two larger models—26B Mixture of Experts and 31B Dense—run unquantized on a single 80GB Nvidia H100 GPU and can be quantized for consumer GPUs. Smaller Effective 2B and Effective 4B models target smartphones and edge hardware, benefitting from collaboration with Qualcomm and MediaTek. Google also replaced its custom Gemma license with the Apache 2.0 license, giving developers greater freedom. The company claims Gemma 4 models are the most capable locally runnable AI systems, positioning them near the top of open AI model rankings.

Anthropic’s DMCA Takedown Accidentally Hits Legitimate Claude Code Forks

Anthropic’s DMCA Takedown Accidentally Hits Legitimate Claude Code Forks

Anthropic issued a DMCA notice to GitHub to remove a repository that contained leaked Claude Code client source code. The notice also listed nearly one hundred forks of that repository. GitHub’s automated processing interpreted the request as covering a broader network of about 8,100 similar forks, many of which were legitimate copies of Anthropic’s official public Claude Code repository. The over‑broad takedowns sparked backlash from developers, prompting Anthropic to ask GitHub to limit the removals to the specifically named URLs and to restore the other repositories.

ElevenLabs Launches ElevenMusic, an AI-Powered Music Generation iOS App

ElevenLabs Launches ElevenMusic, an AI-Powered Music Generation iOS App

ElevenLabs has quietly introduced ElevenMusic, a free iOS app that lets users create and discover AI‑generated songs using natural‑language prompts. The app offers daily limits, customizable song length and style, and a suite of listening features such as live stations and mood‑based mixes. A Pro tier priced at $9.99 per month expands limits to 500 tracks monthly and provides over 500 GB of storage. The launch reflects ElevenLabs' broader push beyond voice models into creative AI tools, positioning the company to compete with other AI music platforms.

OpenAI Acquires TBPN to Expand AI Dialogue

OpenAI Acquires TBPN to Expand AI Dialogue

OpenAI announced the purchase of TBPN, a daily livestream talk show that focuses on artificial intelligence and tech leadership. The acquisition aims to strengthen OpenAI's corporate communications and create a dedicated space for constructive conversations about AI. TBPN will retain editorial independence while operating under OpenAI's Strategy organization. The move comes amid heightened scrutiny of OpenAI's public image, large funding rounds, and ongoing debates over its defense contracts and revenue generation strategies.

Google Workspace’s Vids AI Tool Gains New Avatar and Video Generation Features

Google Workspace’s Vids AI Tool Gains New Avatar and Video Generation Features

Google Workspace’s AI‑powered video creator, Vids, has received a major upgrade that adds directable and custom avatars, a Veo 3.1 integration for on‑demand clip generation, direct YouTube export, and a built‑in screen‑recording Chrome extension. These tools let users type commands to control avatars, generate short video snippets from prompts, and streamline the production workflow, reducing the need for multiple apps and manual editing.

Google expands Vids video editor with AI avatar prompts and new export features

Google expands Vids video editor with AI avatar prompts and new export features

Google has added several new capabilities to its Vids video‑editing app. Users can now direct AI avatars with natural‑language prompts, customize appearance, apparel and backgrounds, and have avatars interact with props. The update also brings the Veo 3.1 video‑generation model, which creates eight‑second clips, and allows direct export of finished videos to YouTube as private files. A new Chrome screen‑recording extension lets users capture screen audio or video. Google offers 10 free generations per month to all users, while AI Ultra and Workspace AI Ultra accounts can generate up to 1,000 Veo videos each month.

Microsoft AI Launches Three New Foundational Models to Compete in the LLM Market

Microsoft AI Launches Three New Foundational Models to Compete in the LLM Market

Microsoft AI, the research arm of the tech giant, announced the rollout of three foundational multimodal models—MAI-Transcribe-1, MAI-Voice-1, and MAI-Image-2. The transcription model supports 25 languages and is 2.5 times faster than Azure Fast. The voice model can generate a minute of audio in one second and allows custom voice creation. The image model, originally unveiled on MAI Playground, expands Microsoft’s AI portfolio and is priced to be cheaper than competing offerings from Google and OpenAI. The launch underscores Microsoft’s commitment to building its own AI stack while maintaining its partnership with OpenAI.

Researchers Reveal AI Model Theft via Electromagnetic Side‑Channel

Researchers Reveal AI Model Theft via Electromagnetic Side‑Channel

A team led by KAIST has demonstrated that artificial‑intelligence models can be reverse‑engineered by capturing faint electromagnetic emissions from GPUs during normal operation. Using a small antenna hidden in a bag, the researchers collected traces from as far as six meters away, even through walls, and reconstructed key architectural details of AI systems with high accuracy. The technique, called ModelSpy, highlights a new physical‑layer vulnerability that bypasses traditional software and network defenses, raising concerns for companies that consider AI model designs as core intellectual property.

Microsoft Unveils New Voice, Transcription and Image AI Models

Microsoft Unveils New Voice, Transcription and Image AI Models

Microsoft announced three new artificial‑intelligence models: a voice model that can generate up to 60‑second audio clips, a transcription model that converts recordings into text in 25 languages, and a second‑generation image model that delivers faster, more realistic results. The models are now available in Microsoft’s Foundry and MAI playground, with plans to integrate the image model into Bing and PowerPoint. The rollout reflects Microsoft’s push to broaden its AI portfolio beyond text‑focused tools, complementing its Copilot suite and underscoring the company’s deep resources for enterprise‑grade generative media.

Meta’s AI Strategy Shifts Amid Delays to ‘Avocado’ Model

Meta’s AI Strategy Shifts Amid Delays to ‘Avocado’ Model

Meta is reevaluating its artificial‑intelligence roadmap as the proprietary ‘Avocado’ model, slated for a 2026 release, encounters performance setbacks and timeline pushes. The company, once champion of open‑source Llama models, appears poised to move toward closed‑source solutions after internal tests showed ‘Avocado’ lagging behind rivals such as Google’s Gemini series. Discussions about temporarily licensing Gemini have surfaced, highlighting a potential reliance on external technology. These developments raise questions about Meta’s long‑term AI direction and its ability to stay competitive in a rapidly evolving market.