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Source channel @githubtrending · Post #15500 · Feb 18

#typescript Qwen Code is a free, open-source AI agent that runs in your terminal to understand codebases, automate tasks, refactor functions, and generate tests. Install easily with one curl command on Linux/macOS or Windows, then run "qwen" and sign in via Qwen OAuth for 1,000 free daily requests or use API keys from OpenAI/Anthropic/Gemini. It offers subagents for complex work, IDE integrations, and headless mode. You benefit by shipping code faster, reducing tedious work, and staying productive in your terminal without switching tools. https://github.com/QwenLM/qwen-code

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AI & Law

@ai_and_law · Post #202 · 12/28/2023, 08:04 AM

USA: New Bill Proposes Transparency Rules for AI Training Data Hello everybody! In US a new AI Foundation Model Transparency Act have been introduced. The aim is to ensure transparency in the usage of copyrighted data in training AI models. Companies developing foundation models must reveal the sources of their training data. This move is geared towards informing copyright holders if their data has been utilized. The bill tasks the Federal Trade Commission (FTC) to collaborate with the National Institute of Standards and Technology (NIST) in establishing rules for reporting training data transparency. Companies must disclose the origin of training data, how it's retained during inference, model limitations or risks, alignment with NIST’s AI Risk Management Framework, and adherence to federal standards. AI developers are required to report efforts to "red team" the model, especially in areas like medical queries, cybersecurity, elections, and services impacting vulnerable populations. This bill complements the Biden administration’s AI executive order, reinforcing the push for standardized reporting in AI models. The bill is yet to go through committee discussions, and its fate before the election campaign season remains uncertain. #AIlaw#CopyrightData#Legislation#TechNews#AIRegulation