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Research
Global· MarkTechPost· 16d ago

NVIDIA Researchers Introduce Physis-Lang: Self-Evolving Physical Language That Lifts Cosmos 3 Past Veo 3.1 on Physics Benchmarks

NVIDIA researchers have introduced 'Physis-Lang,' a self-evolving language framework designed to improve the physical realism of video AI models. Existing models often struggle with basic physics, leading to visual glitches like objects passing through walls. Physis-Lang addresses this by treating physical laws as an optimizable language, helping models like Cosmos 3 better simulate natural interactions. This suggests that the solution to better world models might lie in linguistic structure rather than just adding more visual training data.

What this means for you

Developers focusing on generative video should investigate language-based physical constraints as a pathway to improving visual realism.

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Industry
United States· TechCrunch AI· 4h ago

When it came to Cal AI’s viral success, a small army of influencers paid off

Cal AI, a startup specializing in automated scheduling, achieved rapid commercial success by aggressively leveraging influencer marketing partnerships. Within two years, the platform scaled to $30 million in annual revenue, ultimately prompting an acquisition by MyFitness in March. The outcome underscores how targeted social media campaigns can propel B2C AI tools to lucrative exits, proving that strategic audience engagement often outpaces raw feature complexity when trying to establish a significant market foothold in the competitive health-tech landscape.

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Products
United States· The Verge AI· 5h ago

ChatGPT can peek at your Chrome tabs now

OpenAI has expanded the functionality of its ChatGPT Chrome extension, enabling the chatbot to access and interpret content directly from a user’s open browser tabs. By tagging Chrome during a conversation, users can provide the AI with immediate context from web pages, streamlining workflows like summarizing articles or drafting emails based on live data. This integration signifies a shift toward more seamless, context-aware AI assistants that interact fluidly with the user's primary workspace rather than existing in isolation.

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