OpenManus在东南亚的未来影响 OpenManus作为免费开源AI助手，未来三年将深刻改变东南亚科技格局。通过本地部署和开源模型，它为地区带来多方面应用：帮助中小企业实现低成本自动化，提供个性化教育资源，优化多语言政府服务，支持农业信息系统和旅游业发展。 到2027年，OpenManus将加速数字化转型，创造新就业机会，减少语言障碍，推动本地AI模型发展。预计印尼电商、越南农业、菲律宾教育等领域将出现创新应用。然而，数字鸿沟、能源消耗与安全隐私仍是需要解决的主要挑战。
AI Unleashed - The Coming AI Revolution and Race to AGI - Manus.IM. Its implications for the AI industry, particularly in relation to open-source development.
Prof. Jeffrey Sachs warned the European Parliament that being a US ally can be "fatal" and urged Europe to develop an independent foreign policy based in reality. Speaking at "The Geopolitics of Peace" event on Feb 19, 2025, his comments align with his past criticisms of US policy on NATO expansion and the Ukraine conflict.
手册的核心亮点在于揭示了如何通过提示语设计最大化AI效能。对于推理模型（如DeepSeek-R1），直接陈述目标即可；而对于通用模型（如GPT），则需分步引导并补充上下文与示例。避免过度指令或模糊指令，掌握“提示语链”和“三链融合”等高级技巧，是提升AI输出的关键。
Whether you’re a developer, content creator, or business leader, DeepSeek offers unparalleled support. By automating repetitive tasks, sparking creativity, and designing human-AI workflows, you’ll not only boost efficiency but also stand out in the AI-driven future.
DeepSeek公司推出突破性开源模型，声称仅需1%运算资源即可实现高效训练。虽然这一数据需要验证，但10-20%的资源节省仍具重大意义。该模型采用创新的多阶段训练流程和群体相对策略优化，在11个测试项目中4个超越OpenAI，尤其在数学和程序领域表现出色。这一技术突破可能影响NVIDIA在AI硬件市场的主导地位，推动AI领域从追求大模型转向追求高效精准的小模型发展方向。
Trump 2.0, Crypto, TikTok, imperialism, Chinese economy and world order… Here is a conversation filmed on 21st Jan 2025 with Prof. Zhang Weiwei from Fudan University, Prof. Jeffrey Sachs from Columbia University and Mr. Charles Li former CEO of HKEX. Special thanks to the China International Finance Forum.
The success of the open-source DeepSeek R1 Language Model ignited a research effort, focused on understanding all R1 methods and datasets, not publicly available. A new initiative is calling on the Ai research community to contribute to better understand and build on current best AI designs to further improve tech dev of AI.
With the new open-source DeepSeek R1 (Reasoning 1) model we have anow access to a complete new family of open-source reasoning models from Qwen 1.5B to R1-Distill-Qwen32B. The new DeepSeek R1-Distill LM family explained - with benchmark data, compared to Sonnet 3.5, OpenAI o1 and other LLMs.
A groundbreaking collaborative research paper, jointly authored by leading researchers from MIT, Harvard University, Stanford University, and Google DeepMind, delves into the innovative field of multi-agent fine-tuning for language models.
