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Source channel @githubtrending · Post #14639 · Apr 27

#python#agent_computer_interface#ai_agents#computer_automation#computer_use#grounding#gui_agents#in_context_reinforcement_learning#memory#mllm#planning#retrieval_augmented_generation Agent S2 is a smart AI assistant that handles computer tasks by breaking them into smaller steps and using specialized tools for each part, making it highly adaptable and efficient across different systems like Windows and Android. It outperforms other AI tools in completing complex tasks, learns from experience, and adjusts plans as needed, helping users automate digital work more reliably and effectively. https://github.com/simular-ai/Agent-S

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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