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Today's top AI wins
Google DeepMind’s Gemini 3.7 Flash introduces a new generation of lightweight, high-speed AI designed to make advanced capabilities more accessible. The release points to continued progress in delivering useful AI that can respond quickly, operate efficiently, and support real-world applications at scale.
OpenAI is previewing a new Ultrafast API service tier that can run GPT-5.6 Sol up to 14 times faster. Powered by Cerebras, the tier reaches up to 750 output tokens per second, opening the door to more responsive AI apps and real-time workflows.
Databricks has secured a massive $5 billion funding round at a reported $190 billion valuation, reflecting strong investor confidence in the company’s role powering AI development. The raise gives Databricks more resources to scale the data and AI infrastructure businesses rely on to build, deploy, and manage intelligent systems.
Google now lets Gemini and Flow users remove visible watermarks from AI-generated images, videos, and music, giving creators cleaner outputs for polished projects. The update still keeps invisible SynthID watermarks and C2PA metadata, balancing creative flexibility with responsible content transparency.
Meta released Glimmer, an open-weight AI model that people can download and run on their own hardware. While the company still keeps its more powerful Muse Spark model behind APIs, Glimmer is a meaningful step toward broader access and experimentation with advanced AI.
Google is giving users the option to remove visible watermarks from its AI-generated media, making outputs easier to use in creative and professional projects. Importantly, invisible identifiers will remain in place, helping preserve transparency around AI-generated content.
OpenAI and Anthropic are reportedly releasing lower-cost models as competition from Chinese AI companies intensifies. The resulting price pressure could make advanced AI tools more accessible to developers, startups, and businesses worldwide.
Meta’s new Glimmer model is an open-weight AI system that people can download and run on their own hardware. The release supports a more accessible AI ecosystem, giving developers, researchers, and startups more freedom to experiment outside closed API-only platforms.
French startup Kog is challenging the idea that GPUs are ill-suited for agentic AI workflows. By finding ways to squeeze more inference performance from GPU infrastructure, the company could help make advanced AI agents faster, cheaper, and easier to deploy.
OpenAI has appointed Dali Rajic as Chief Revenue Officer to lead its global revenue organization. The move is aimed at helping businesses capture more value from AI and expand practical adoption across industries.
Apple has reportedly trained a China-focused AI model with support from Alibaba, signaling a major effort to bring more localized AI features to Chinese users. The partnership could help Apple deliver smarter, more compliant services while strengthening cross-border AI collaboration.
Google’s AI reorganization may mark a renewed commitment to ambitious, long-horizon research while also expanding the broader AI ecosystem through Jeff Dean’s new startup. Though the move has sparked debate, it could help Google DeepMind sharpen its mission and keep foundational AI science moving forward.
Google DeepMind’s Gemini 3.7 Flash introduces a new generation of lightweight, high-speed AI designed to make advanced capabilities more accessible. The release points to continued progress in delivering useful AI that can respond quickly, operate efficiently, and support real-world applications at scale.
OpenAI is previewing a new Ultrafast API service tier that can run GPT-5.6 Sol up to 14 times faster. Powered by Cerebras, the tier reaches up to 750 output tokens per second, opening the door to more responsive AI apps and real-time workflows.
Microsoft is retiring the animated Mico avatar from Copilot voice mode and shifting it to Learn Live, where its expressive reactions may be more useful in educational settings. The change reflects Microsoft’s ongoing effort to make AI assistants feel helpful, focused, and better matched to real user needs.
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