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Research
Global· MarkTechPost· 8d ago

Liquid AI Releases Open-Weight d1-3B and d1-omni-600M: Multimodal Decision Models With Zero Output Tokens

Liquid AI has unveiled its new 'd1' model series, specifically engineered for real-time decision-making rather than generative text tasks. Unlike standard LLMs that generate lengthy tokens, these multimodal models output precise, typed data in a single pass. By focusing on low-latency performance and eliminating the token-generation process, these open-weight models are optimized for autonomous systems, robotics, and industrial applications where split-second accuracy is required over narrative responses.

What this means for you

Developers working on latency-sensitive AI applications should evaluate these models for tasks where structured, immediate data output is prioritized over natural language generation.

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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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