AntAngelMed: How to Deploy the World-Leading Open-Source Medical LLM in Your Hospital
1 months ago 高效码农Bringing the “Hospital Brain” Home: A Complete, Plain-English Guide to AntAngelMed, the World-Leading Open-Source Medical LLM Keywords: AntAngelMed, open-source medical LLM, HealthBench, MedAIBench, local deployment, vLLM, SGLang, Ascend 910B, FP8 quantization, 128 K context 1. What Is AntAngelMed—in One Sentence? AntAngelMed is a 100-billion-parameter open-source language model that only “wakes up” 6.1 billion parameters at a time, yet it outscores models four times its active size on medical exams, and you can download it for free today. 2. Why Should Non-PhD Readers Care? If you code: you can add a medical “co-pilot” to your app in one afternoon. If you …
AI App Trends 2026: The Critical Shift from Making Tools to Thinking Partners
1 months ago 高效码农The AI App Landscape in 2026: The Paradigm Shift from “Making Tools” to “Thinking Partners” Having delved into the insightful notes on AI applications for 2026, grounded in observations from 2025, a clear and compelling picture of the near future emerges. The current AI application ecosystem is maturing in ways both expected and surprising. We have cracked the code on making software development cheap, yet this reality hasn’t permeated enterprises or the world to the extent its low cost implies. We’ve likely realized less than 10% of its potential impact on how companies are built and what software will exist. …
Master Claude Code Skills: Transform Your AI into Autonomous Specialized Agents
1 months ago 高效码农Mastering Claude Code Skills: Transforming Your AI into a Specialized Autonomous Agent Article Snippet Claude Code’s “Skills” feature is a portable “capability unit” that allows users to package expertise and workflows into structured SKILL.md files. Unlike traditional slash commands, Skills are context-aware and activate automatically based on the conversation. By configuring personal (~/.claude/skills/) or project-based (.claude/skills/) directories, users can transform Claude from a reactive chatbot into a proactive, specialized autonomous agent. Introduction: The Shift from “Q&A” to “Proactive Collaboration” For many AI users, the interaction model remains stagnant: you ask a question, and the AI provides an answer. Even with …
Agent Harness 2026: Why AI’s Operating System Replaces Model-Centric Thinking
1 months ago 高效码农Agent Harness is the critical AI infrastructure wrapping models to manage long-running tasks, acting as an operating system to ensure reliability. It solves the model durability crisis by validating performance over hundreds of tool calls, transforming vague workflows into structured data for training. 2026 AI Evolution: Why the Agent Harness Replaces the Model-Centric Focus We are standing at a definitive turning point in the evolution of Artificial Intelligence. For years, our collective gaze has been fixed almost entirely on the model itself. We obsessed over a single question: “How smart is this model?” We religiously checked leaderboards and pored over …
Counterfactual Video Generation: A Breakthrough to Reduce Hallucinations in Multimodal AI
1 months ago 高效码农Reducing Hallucinations in Multimodal Large Language Models for Video Understanding Through Counterfactual Video Generation Have you ever wondered why multimodal large language models sometimes give answers that sound logical but don’t match what’s actually happening in a video? For instance, if a video shows an object suddenly vanishing, the model might insist it’s still there, relying more on everyday common sense than on the visual evidence right in front of it. This is known as “visual ungrounded hallucinations.” In this article, we’ll explore a innovative approach that uses specially generated counterfactual videos to help these models better understand videos and …
How I Built a Manhua Video App in 8 Days for $20: AI-Powered Mobile Creation
1 months ago 高效码农8 Days, 20 USD, One CLI: Building an Open-Source AI Manhua-Video App with Claude Code & GLM-4.7 Core question answered in one line: A backend-only engineer with zero mobile experience can ship an end-to-end “prompt-to-manhua-video” Android app in eight calendar days and spend only twenty dollars by letting a CLI coding agent write Flutter code while a cheap but powerful LLM plans every creative step. 1. Why Another AI-Video Tool? The Mobile Gap Core question this section answers: If web-based manhua-video makers already exist, why bother building a mobile-native one? Every existing product the author tried was desktop-web only, asking …
Beyond Ghostwriting: The Industrialized AI Paper Writing Loop Powered by High-Density Information
1 months ago 高效码农Beyond Cheap Ghostwriting: Building an Industrialized AI Paper Writing Loop Based on High-Density Information A recent documentary about the academic ghostwriting industry sparked widespread discussion. While public attention focused on the massive essay mill assembly lines in Kenya, a high-end ghostwriter named Teriki, who lived in a seaside apartment, revealed a truth overlooked by 99% of people. His working method inadvertently exposed the ultimate principle of AI-assisted academic writing: The quality of AI output is strictly proportional to the density of information you feed it. This is not just talk. This article will deconstruct a practical, inspired writing methodology. It …
Building AI Monitoring Tools: A Full-Stack Architect’s Guide to Scalable Web Agents
1 months ago 高效码农Building the Next-Gen AI Monitoring Platform: Open Scouts Architecture & The Firecrawl Design System In an era defined by information overload, the ability to autonomously track and filter web data is not just a luxury—it is a necessity. Whether it is monitoring for competitive intelligence, tracking industry news, or finding local opportunities, manual searching is no longer scalable. This article aims to answer the following core question: How can we leverage modern full-stack technologies and a highly customized design system to build a web application that is both AI-capable and visually consistent? We will dissect the Open Scouts platform—an AI-powered …
Why Callisto Was Excluded: The Pressure Bump Trap That Saved the Laplace Resonance
1 months ago 高效码农Why Callisto Never Joined the Laplace Dance: A Pressure-Bump Escape Story Core question: If Io, Europa, and Ganymede can lock into the 4:2:1 Laplace resonance, why is Callisto left out? One-sentence answer: A pressure bump in the circum-Jovian disk acted as a migration trap, parking Callisto outside the resonant chain and removing the need for it to form late or slowly. Quick Scan N-body experiments show that a bump of intermediate aspect ratio (∆h/w ≈ 0.45–0.6) naturally stalls Callisto while letting the other three moons migrate inward and lock into resonance. A public, ready-to-run parameter set is provided for researchers …
Claude Code Long-Term Memory: Stop Repeating Yourself with CLAUDE.md
1 months ago 高效码农Stop Repeating Yourself: Give Your AI Coding Assistant a “Long-Term Memory” with CLAUDE.md Have you ever experienced this? Every time you open Claude Code to start a new programming conversation, it feels like you’re talking to a brilliant new colleague with severe amnesia. You find yourself repeating, yet again: “This project uses Python 3.9…” “For the database, use PostgreSQL, the config is in the .env file…” “Please follow PEP 8 for code style…” Day after day, it’s like being stuck in an inefficient “Groundhog Day” loop. This is a massive waste of both your time and your AI assistant’s potential. …
MiniMax-M2.1 AI: The Coding Agent That Finally Masters Java, C++, and Go
1 months ago 高效码农MiniMax-M2.1: Redefining Multilingual Coding Agents with Strong Generalization Snippet: MiniMax-M2.1 achieves a significant leap in coding capabilities, matching or surpassing global top-tier models across benchmarks. Optimized for agentic scenarios, it features a multilingual system covering 10+ languages, a high-concurrency infrastructure launching 5,000+ environments in 10 seconds, and robust generalization across coding scaffolds, scoring over 67 on SWE-Bench in diverse environments. Introduction: When Coding Agents Step Out of the Python Comfort Zone In the rapidly evolving landscape of software development, 2025 has established itself as a pivotal year. As Large Language Models (LLMs) become increasingly integrated into our workflows, the ability …
From Vectors to Volatility: How AI Actually Applies to Trading (Not Magic, Just Math)
1 months ago 高效码农From First Principles: From AI’s Underlying Logic to AI Trading I. The Underlying Logic of Large Models Before delving into AI trading, it’s essential to clarify the computational essence of large models. Many people treat large language models (LLMs) as black boxes, assuming they “understand” language and can “think” through problems. In reality, when dissected, they operate on a set of vector operations. Core Idea: Represent Everything with Vectors Humans use words and grammar to convey meaning. Machines, however, only recognize numbers. The first step for large models is to map discrete tokens (which can be words or subwords) to …
AntV Infographic: The AI-Powered Declarative Framework That Turns Text into Stunning Visuals
1 months ago 高效码农AntV Infographic: The Infographic Generation & Rendering Framework That Brings Words to Life Abstract AntV Infographic is AntV’s next-generation declarative infographic visualization engine. With its carefully designed syntax, it enables fast and flexible rendering of high-quality infographics, supporting AI generation, over 200 built-in templates, theme customization, and SVG output—making information presentation more efficient than ever. I. Introducing AntV Infographic: What Is This “Word-to-Life” Tool? Have you ever struggled to turn chunks of text into intuitive, visually appealing infographics? Or felt overwhelmed by complex configurations when trying to generate infographics with code? If so, AntV Infographic might be the solution you’ve …
Act2Goal: The Visionary Robot Framework Achieving 90% Success in Complex Tasks
1 months ago 高效码农Snippet: Act2Goal is a pioneering robotic manipulation framework that integrates a goal-conditioned visual world model with Multi-Scale Temporal Hashing (MSTH). By decomposing long-horizon tasks into dense proximal frames for fine-grained control and sparse distal frames for global consistency, it overcomes the limitations of traditional policies. Utilizing LoRA-based autonomous improvement, Act2Goal scales success rates from 30% to 90% in complex tasks like 2kg bearing insertion and high-precision writing. § From Imagination to Execution: How Act2Goal Redefines General Long-Horizon Robot Manipulation In the evolution of robotics, a persistent chasm has existed between “understanding a task” and “executing it with precision.” While large …
Dexterous Robotics Breakthrough: How GR-Dexter’s AI Bimanual Hands Master Everyday Tasks
1 months ago 高效码农Exploring GR-Dexter: How AI-Powered Bimanual Dexterous Robots Master Everyday Manipulation Summary GR-Dexter is a hardware-model-data framework for vision-language-action (VLA) based bimanual dexterous robot manipulation. It features a compact 21-DoF ByteDexter V2 hand, an intuitive VR headset and glove teleoperation system, and a training recipe blending teleoperated robot trajectories with large-scale vision-language data, cross-embodiment demos, and human trajectories. In real-world tests, it excels in long-horizon daily tasks and generalizable pick-and-place, achieving up to 0.97 success rates and robust performance on unseen objects and instructions at 0.85+. Imagine a robot that can delicately pick up makeup items, operate a vacuum cleaner with …
Web RPA: The Ultimate Visual Web Automation Tool for Windows
1 months ago 高效码农Web RPA: A Complete, Visual Guide to Web Robotic Process Automation 「Snippet Web RPA is a visual, Windows-based automation tool that ships with Python 3.13 and Node.js. After extraction, double-click the startup script to launch local services on ports 8000 (backend) and 5173 (frontend). With 118 modules spanning browser automation, data processing, media, system operations, and AI capabilities, it enables code‑free workflows for data collection, form filling, and automated testing. Web RPA: Practical, In‑Depth Guide to Visual Web Automation Table of Contents Overview and Positioning Feature Overview (modular, quantified) UI and Workflow Editor Quick Start (environment, startup, dev mode) Project …
Monocular Avatar Magic: Build a 120 FPS Mobile Avatar from a Single iPhone Video
1 months ago 高效码农# From 5-Minute iPhone Video to 120 FPS Avatar: Inside HRM2Avatar’s Monocular Magic > Can a single iPhone video really become a cinema-grade, real-time avatar on mobile? Yes—if you split the problem into “two-stage capture, mesh-Gaussian hybrid modeling, and mobile-first rendering.” HRM2Avatar shows how. ## 1. Why Care: The Gap Between Hollywood Mocap and Your Phone Summary: Current avatar pipelines need multi-camera domes or depth sensors. HRM2Avatar closes the fidelity gap with nothing but the phone in your pocket. Studio rigs cost >$100 k and need experts. NeRF/3DGS monocular methods either look good or run fast—not both. Social gaming, AR …
Dream-VL AI: How Discrete Diffusion Models Are Revolutionizing Robot Vision and Planning
1 months ago 高效码农Dream-VL and Dream-VLA: A Unified Vision–Language and Vision–Language–Action Framework Based on Discrete Diffusion Language Models Snippet (50–80 words) Dream-VL is trained on over 12 million multimodal samples using discrete diffusion, demonstrating strong advantages in long-horizon visual planning and parallel action generation. Dream-VLA is pretrained on 970k robotic manipulation trajectories and achieves 97.2% average performance on LIBERO, 71.4% on SimplerEnv-Bridge, and 60.5% on SimplerEnv-Fractal benchmarks. Table of Contents Introduction Why Discrete Diffusion Language Models (dLLMs)? Dream-VL: Training Data, Capabilities, and Benchmarks Dataset Scale and Training Paradigm High-Level Planning: ViPlan Benchmark Low-Level Action Planning: Speed and Robustness Dream-VLA: Robot Pretraining and Downstream …
Essential Deep Agent Evaluation Strategies: A LangChain Case Study
1 months ago 高效码农LangChain on X: “Evaluating Deep Agents: Our Learnings” Over the past month at LangChain, we’ve launched four applications built on top of the Deep Agents framework: A coding agent LangSmith Assist: an in-app agent to assist with various tasks in LangSmith Personal Email Assistant: an email assistant that learns from each user’s interactions A no-code agent building platform powered by meta deep agents Developing and launching these agents required creating evaluations for each, and we gained valuable insights along the way! In this post, we’ll delve into the following patterns for evaluating deep agents. Deep agents demand custom test logic …
Claude Scientific Skills: The Ultimate AI Research Assistant for Scientists and Drug Discovery
1 months ago 高效码农Unlock the Power of Claude as Your AI Research Assistant: A Complete Guide to 138 Scientific Skills Summary: What Are Claude Scientific Skills? Claude Scientific Skills is an open-source collection of 138 ready-to-use skills developed by the K-Dense team, transforming Claude AI into a versatile research assistant for complex scientific workflows in biology, chemistry, medicine, and more. It integrates 28+ databases like PubMed and ChEMBL, 55+ Python packages such as RDKit and Scanpy, enabling tasks from drug discovery to single-cell RNA-seq analysis with seamless API access and code examples. Have you ever felt overwhelmed by the sheer volume of tools …