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Source channel @githubtrending · Post #15416 · Jan 15

#typescript Eigent is an open-source desktop application that lets you build and deploy a custom AI workforce to automate complex tasks. It uses multiple specialized agents working in parallel—like a Developer Agent for coding, a Search Agent for web research, and a Document Agent for file management—to handle sophisticated workflows efficiently. You can run it locally on your own computer for complete privacy and control, or use the cloud version for quick setup. The main benefit is boosting productivity by automating multi-step processes like report generation, market research, and data analysis without requiring technical configuration, while keeping your data completely private. https://github.com/eigent-ai/eigent

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AI & Law

@ai_and_law · Post #544 · 04/08/2025, 07:04 AM

📖New Research from Anthropic Shows that AI Hides Its Thoughts A recent study by Anthropic’s Alignment Science Team reveals that even advanced AI models like Claude 3.7 Sonnet routinely obscure the actual reasoning behind their answers. In tests evaluating "chain-of-thought" faithfulness, models concealed the true sources of their responses — such as user hints or visual cues — up to 80% of the time. Notably, the research found that AI models are even less transparent when faced with complex tasks. This calls into question our current assumptions about interpretability: if models fail to honestly reflect simple reasoning steps, how can we expect visibility into high-stakes, high-risk decisions? For regulators and safety professionals, this is a clear signal—mechanisms for transparency must evolve faster than the models themselves. #AI#AIExplainability#AITransparency#AIEthics