According to @DeepLearningAI, Moonshot AI launched Kimi K2 Thinking and Kimi K2 Thinking Turbo that alternate between cycles of reasoning and tool use, often making hundreds of calls, and they outperform other open-weights LLMs on complex, multi-step tasks. Source: DeepLearning.AI (Nov 22, 2025). According to @DeepLearningAI, both models are trillion-parameter mixture-of-experts systems fine-tuned at INT4 precision, delivering strong agentic performance while running on lower-cost hardware. Source: DeepLearning.AI (Nov 22, 2025). According to @DeepLearningAI, key trading-relevant datapoints are the multi-call agent workflow and INT4 efficiency on cheaper hardware, which directly inform cost and throughput assumptions for AI infrastructure exposure across traditional and crypto markets. Source: DeepLearning.AI (Nov 22, 2025).

According to DeepLearning.AI, Andrew Ng reflects on the social energy and technical depth of AI Dev x NYC and how in-person events spark collaboration, community, and new opportunities in the AI developer ecosystem. Source: DeepLearning.AI on X, 2025-11-21, https://hubs.la/Q03Vk0V70 According to DeepLearning.AI, this edition of The Batch covers self-driving cars operating on U.S. freeways. Source: DeepLearning.AI on X, 2025-11-21, https://hubs.la/Q03Vk0V70 According to DeepLearning.AI, Moonshot releases Kimi K2 Thinking. Source: DeepLearning.AI on X, 2025-11-21, https://hubs.la/Q03Vk0V70 According to DeepLearning.AI, an Anthropic cyberattack report sparks controversy. Source: DeepLearning.AI on X, 2025-11-21, https://hubs.la/Q03Vk0V70 According to DeepLearning.AI, models learning to search their own parameters are discussed. Source: DeepLearning.AI on X, 2025-11-21, https://hubs.la/Q03Vk0V70 According to DeepLearning.AI, the post focuses on AI developments and does not include commentary on cryptocurrency market impacts. Source: DeepLearning.AI on X, 2025-11-21, https://hubs.la/Q03Vk0V70