Twin Labs Builds AI Assistant to Automate Tasks by Taking Over User's Computer
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Twin Labs is building an AI assistant that can automate repetitive tasks by taking over a user's mouse and interacting with web interfaces. It uses multimodal models like GPT-4V to understand interfaces.
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Twin Labs moves beyond traditional LLMs, which they found unreliable for task automation. GPT-4V is trained on software interfaces to understand interface elements.
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The assistant loads web pages, clicks buttons, enters text to complete tasks - no need to rely on APIs or complex workflows. Users train it by screen recording and descriptions.
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A prototype is built; $3M raised from investors like Betaworks, Motier. Challenges remain around cost and reliability.
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Goal is for an assistant that takes over repetitive tasks, freeing up users. An innovative way to interact with AI via direct interface control.