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Research
Global· MarkTechPost· 2d ago

Meta Launches Muse Wonder and Muse Wonder Full: Benchmarks, Pricing and How to Use It

Meta has introduced Muse Wonder and Muse Wonder Full, two advanced AI agent models featuring a massive one-million-token context window. These models are designed to handle extensive datasets and complex coding tasks, with Wonder Full currently setting a high performance bar on key software engineering benchmarks. Accessible via the Meta Model API with tiered pricing based on token usage, these tools represent a significant leap in long-context AI capability, potentially streamlining automated programming workflows and large-scale document analysis for developers.

What this means for you

Technical teams and developers should evaluate these high-context models to determine if they can enhance the efficiency of their complex software development and data-intensive analytical pipelines.

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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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