Michael Nuñez

AR/VR

Hugging Face submits open-source blueprint, challenging Big Tech in White House AI policy fight

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More In a Washington policy landscape increasingly dominated by calls for minimal AI regulation, Hugging Face is making a distinctly different case to the Trump administration: open-source and collaborative AI development may be America’s strongest competitive advantage. The AI platform company, which hosts more than 1.5 million public models across diverse domains, has submitted its recommendations for

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AR/VR

Nvidia’s Cosmos-Transfer1 makes robot training freakishly realistic—and that changes everything

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Nvidia has released Cosmos-Transfer1, an innovative AI model that enables developers to create highly realistic simulations for training robots and autonomous vehicles. Available now on Hugging Face, the model addresses a persistent challenge in physical AI development: bridging the gap between simulated training environments and real-world applications. “We introduce Cosmos-Transfer1, a conditional world generation model that

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AR/VR

Mistral AI drops new open-source model that outperforms GPT-4o Mini with fraction of parameters

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More French artificial-intelligence startup Mistral AI unveiled a new open-source model today that the company says outperforms similar offerings from Google and OpenAI, setting the stage for increased competition in a market dominated by U.S. tech giants. The model, called Mistral Small 3.1, processes both text and images with just 24 billion parameters—a fraction of the size

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AR/VR

Anthropic just launched a new platform that lets everyone in your company collaborate on AI — not just the tech team

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Anthropic has launched a significant overhaul to its developer platform, introducing team collaboration features and extended reasoning capabilities for its Claude AI assistant that aim to solve major pain points for organizations implementing AI solutions. The upgraded Anthropic Console now allows cross-functional teams to collaborate on AI prompts — the text instructions that guide AI models

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AR/VR

SimilarWeb data: This obscure AI startup grew 8,658% while OpenAI crawled at 9%

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More SimilarWeb‘s latest Global AI Tracker report reveals dramatic shifts in the AI landscape, painting a clear picture of market winners and losers. The comprehensive report tracks traffic patterns across various AI tool categories, providing crucial insights for industry strategists and investors. DevOps and code completion tools lead the pack with a remarkable 72% year-over-year growth in

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AR/VR

Contextual AI’s new AI model crushes GPT-4o in accuracy — here’s why it matters

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Contextual AI unveiled its grounded language model (GLM) today, claiming it delivers the highest factual accuracy in the industry by outperforming leading AI systems from Google, Anthropic and OpenAI on a key benchmark for truthfulness. The startup, founded by the pioneers of retrieval-augmented generation (RAG) technology, reported that its GLM achieved an 88% factuality score on

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AR/VR

Less is more: How ‘chain of draft’ could cut AI costs by 90% while improving performance

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More A team of researchers at Zoom Communications has developed a breakthrough technique that could dramatically reduce the cost and computational resources needed for AI systems to tackle complex reasoning problems, potentially transforming how enterprises deploy AI at scale. The method, called chain of draft (CoD), enables large language models (LLMs) to solve problems with minimal words

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