When we think of making progress on the intelligence front in AI, we typically think of producing models that have higher “peak intelligence”. But in the Customer Support space, and many other similar applications, it is not higher peak intelligence that we most need in order to build generally able AI systems anymore. Instead, “intelligence density” is how we can efficiently drive immediate and meaningful progress in real-world, latency-constrained AI applications, today.| /research
On chatbot sycophancy, passivity, and the case for more intellectually challenging companions| maggieappleton.com
Build powerful AI agents with Claude that reason through complex problems, execute tasks autonomously, and deliver reliable results.| www.anthropic.com
Six months have passed since our last year-end review. As the initial wave of excitement sparked by DeepSeek earlier this year begins to wane, AI seems to have entered a phase of stagnation. This pattern is evident in Retrieval-Augmented Generation (RAG) as well: although academic papers on RAG continue to be plentiful, significant breakthroughs have been few and far between in recent months. Likewise, recent iterations of RAGFlow have focused on incremental improvements rather than major fea...| ragflow.io
There's big news out of Silicon Valley, as OpenAI unveils its ChatGPT Agent – an AI that can autonomously complete complex, multi-step tasks using its own virtual computer to browse the web, run code, use other terminals, manage files and even interact with your personal applications and files (if…| New Atlas
Learn about the many definitions of AI Agents and how to determine the best AI Agent solution for your organization.| WorkFusion
Frameworks for LLM Agents have been surprisingly disappointing. I want to offer some principles for building agents based on our own trial & error, and explain why some tempting ideas are actually quite bad in practice.| Cognition
Six months have passed since our last year-end review. As the initial wave of excitement sparked by DeepSeek earlier this year begins to wane, AI seems to have entered a phase of stagnation. This pattern is evident in Retrieval-Augmented Generation (RAG) as well: although academic papers on RAG continue to be plentiful, significant breakthroughs have been few and far between in recent months. Likewise, recent iterations of RAGFlow have focused on incremental improvements rather than major fea...| ragflow.io
本文永久链接 - https://tonybai.com/2025/03/11/building-effective-agents 近来，人工智能领域再次风起云涌，各种能力超强的大模型、创新概念和工具层出不穷，让人目不暇接。从DeepSeek发布的开源MoE 模型DeepS| tonybai.com
Here’s what you should build instead| decodingml.substack.com
AI Agents have improved in leaps and bounds in recent times, moving beyond simple chatbots to sophisticated, autonomous systems. This post explores a novel approach to building agentic systems: using the power of streaming SQL queries. Discover how platforms like Apache Flink can transform the development of AI Agents, offering benefits in consistency, scalability, and developer experience.| www.morling.dev
LLM agents don’t require new architectures, but they do break the assumptions your platform relies on for safety, observability, and control. This post breaks down what really changes when agents hit production, and what platform teams should do about it.| www.junctionlabs.io
AI agents are all the rage. But no one knows exactly what an agent is, partly because companies define them radically differently.| TechCrunch
Anthropic gives advice on building AI Agents. Simple workflows connecting capable tools and advanced AI models can yield powerful AI Agents.| patmcguinness.substack.com