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Source channel @githubtrending · Post #14698 · May 12

#typescript This repository offers many practical JavaScript/TypeScript examples for learning AI development, requiring Node.js and Bun runtimes. It includes ready-to-run demos like conversation summarization, web search integration, memory management, and API interactions with services like OpenAI, Langfuse, and Qdrant. You can run these examples locally or via Docker for easy setup. The code covers advanced AI topics such as token counting, prompt engineering, vector databases, and audio/video processing. Using Bun, a fast and TypeScript-friendly runtime compatible with Node.js, enhances performance and development speed. This setup helps you quickly experiment with AI features and build your own AI-powered apps efficiently. https://github.com/i-am-alice/3rd-devs

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Crypto M - Crypto News

@CryptoM · Post #64826 · 04/10/2026, 02:43 AM

🚀 AI's Impact on Investment and Trading: Insights from Nansen CEO PANews posted on X (formerly Twitter) about a discussion with Nansen CEO Alex Svanevik on the evolving role of AI in investment and trading. Svanevik highlighted that 'smart money 2.0' is transforming into a predictive system, with agent trading expected to surpass human trading by 2028. However, he emphasized the need for users to build a 'trust ladder' before fully relying on trading agents. The conversation also covered the implementation of tools like OpenClaw in enterprise settings, where safety is prioritized over speed. Svanevik shared insights on how the Nansen team utilizes OpenClaw and how AI is reshaping team structures. He noted that 'judgment' is becoming the most scarce resource within AI-native companies. Svanevik further pointed out that low latency, overcoming AI bottlenecks, and open-source solutions will define the next generation of agent infrastructure. #AI#Investment#Trading#FinTech#MachineLearning#PredictiveAnalytics#OpenSource#EnterpriseAI#FinancialTechnology#AlgorithmicTrading