DS2API: Transforming DeepSeek Free Chat to OpenAI & Claude Compatible APIs
8 hours ago 高效码农Bridging the Gap: How to Transform DeepSeek Free Chat into OpenAI & Claude Compatible APIs with DS2API Image Source: Unsplash Introduction: Unlocking Programmatic Access to Free AI Resources Core Question: How can developers bridge the gap between the free, interactive DeepSeek web interface and the standardized, programmatic requirements of modern AI application development? For developers and product engineers, the availability of powerful Large Language Models (LLMs) like DeepSeek is an exciting opportunity. However, the friction arises when these models are initially offered only through a web-based chat interface. Building production-grade applications requires standard APIs—specifically those compatible with the ubiquitous OpenAI …
PixVerse R1: The Real-Time Video Generation Breakthrough & 4 Game-Changing Use Cases You Need to Know
14 hours ago 高效码农PixVerse R1: The Breakthrough of Real-Time Video Generation Models and Its Application Potential In industry exchanges, Yubo once shared a prediction from many senior industry practitioners — one of the stunning breakthrough directions for the next generation of large models is “real-time video generation.” This concept was initially difficult to visualize until the demonstration video and hands-on experience of PixVerse’s self-developed R1 large model emerged. It turned “real-time video generation” from an abstract prediction into a perceptible technological implementation, allowing us to clearly see the enormous potential behind this technology. As the world’s first large model for real-time video generation, …
Master Claude AI: Ultimate Guide from Beginner to Pro with Proven Tips & Tools
15 hours ago 高效码农From Beginner to Pro: Your Ultimate Claude AI Resource & Practical Guide With countless AI tools and rapidly evolving technology, do you feel overwhelmed about where to start? Especially with powerful models like Claude, online tutorials are plentiful yet vary in quality. Which resources are truly worth your time? This article addresses that core challenge. We have systematically compiled ultimate learning guides, verified best practices, high-efficiency tool collections, lesser-known advanced techniques, and common pitfalls to avoid for Claude. Whether you’re a complete beginner or an advanced user looking to boost productivity, this resource package, curated from deep practitioner experience, provides …
Stop Failing at Vibe Coding: The AI Documentation-First System for Shipping Real Software
15 hours ago 高效码农Stop Failing at “Vibe Coding”: The Documentation-First System for Shipping Real Software Why is it that despite using the most advanced AI coding agents like Cursor or Claude Code, you still end up with a pile of broken, non-functional code? The core answer is simple: The problem isn’t AI “hallucinating.” The problem is you, the operator, lacking structured thinking and constraints. AI is a translator that converts your intent into code; if your intent is vague and unstructured, the output will inevitably be chaotic. By establishing a strict “Documentation-First” system that pre-sets all specifications, workflows, and context, you can eliminate …
What is Google PaperBanana? A Framework For AI-Generated Academic Illustrations
1 days ago 高效码农Google PaperBanana: Redefining AI-Generated Illustrations for Academic Papers The Core Question This Article Answers: What exactly is Google’s newly released PaperBanana framework, and how does it solve the persistent challenges of automating scientific and technical illustrations? Google recently released a paper on PaperBanana, introducing a novel approach to creating illustrations for academic papers. For developers and researchers aiming to automate the creation of diagrams and flowcharts for their technical papers or blogs, this tool represents a significant leap forward. While existing image models like Nano Banana or GPT-Image-1.5 are already capable of generating images, PaperBanana is not merely another model. …
How TTT-E2E Lets Transformers Continuously Learn at Inference—A Plain English Guide
1 days ago 高效码农How to Let a Transformer Keep Learning While It Reads: A Plain-English Guide to TTT-E2E “ Keywords: long-context language modeling, test-time training, TTT-E2E, sliding-window attention, meta-learning, inference speed-up 1. The Problem in One Sentence Today’s best language models can open a book, but they cannot close it—they forget the first page before they reach the last. TTT-E2E, a paper posted on arXiv in December 2025, offers a different deal: read once, keep learning, and never pay more per new word. 2. A Quick Refresher (No Math Yet) What we already have Pain point Full attention Remembers everything, cost grows with …
GLM-OCR: The Ultimate Guide to the 0.9B Lightweight OCR Powerhouse for Complex Documents
2 days ago 高效码农GLM-OCR: A 0.9B Lightweight Multimodal OCR Model — Complete Guide to Performance, Deployment & Practical Use Abstract: GLM-OCR is a multimodal OCR model with only 0.9B parameters. It achieved a top score of 94.62 on OmniDocBench V1.5, supports deployment via vLLM, SGLang, and Ollama, delivers a PDF parsing throughput of 1.86 pages/second, adapts to complex document scenarios, and balances efficient inference with high-accuracy recognition. Introduction: Why GLM-OCR Stands Out as the Top Choice for Complex Document OCR? If you’re a developer working on document processing or data extraction, you’ve likely faced these pain points: Traditional OCR models struggle with low …
Antigravity AI Agent Skill Training: Teach Once, Automate Forever Workflows
2 days ago 高效码农Stop Repeating Prompts: How Antigravity AI Agent Skill Training Enables “Teach Once, Automate Forever” Are you tired of repeatedly explaining the same workflows to your AI? Have you ever imagined that if you could teach an AI once, it would remember and perfectly execute the task every single time? This is no longer a fantasy. A new paradigm called Antigravity AI Agent Skill Training is quietly redefining how we build, scale, and automate our work with AI. For years, the promise of AI automation has been straightforward: work less, achieve more. But in practice, most tools made things more complicated. …
OpenAI Codex Desktop App Review: From CLI to AI Command Center Revolution
2 days ago 高效码农OpenAI Codex Desktop: The Evolution from Command Line to AI Agent Command Center OpenAI has officially launched the desktop application for Codex, marking a significant evolution of its AI coding assistant from a simple command-line tool to a fully functional graphical “Command Center.” For developers and engineering teams, this is not merely a UI update; it represents a paradigm shift in workflow management. The core question this article answers: How does the release of the OpenAI Codex Desktop App redefine the boundaries and efficiency of AI-assisted software development through multi-agent parallelism, automated tasks, and a reusable skill system? 1. Core …
The Ultimate AI Desktop Showdown: Comparing the 5 Most Popular Autonomous Agents for Everyone
2 days ago 高效码农The Ultimate Showdown: Yuanqi AI Bot, Clawdbot, GLM-PC, MiniMax Agent Desktop, and QoderWork Reviewed With the rapid evolution of artificial intelligence, we are witnessing a paradigm shift from “chat-based intelligence” to “desktop-based agents.” Large Language Models (LLMs) are no longer just encyclopedias answering questions; they are evolving into agents capable of taking over computers and executing complex tasks. In this wave of innovation, five distinct products have captured significant attention: the one-click Yuanqi AI Bot, the open-source community favorite Clawdbot, GLM-PC by Zhipu AI, the MiniMax Agent Desktop, and the QoderWork promoted by Alibaba. This article aims to deeply analyze …
Prompt Engineering Secrets: Anthropic’s 10-Step AI Framework for Elite Claude Outputs
3 days ago 高效码农The Anthropic Guide: Unlock Elite AI Outputs with This 10-Step Prompting Framework Do you ever feel like your AI assistant, Claude, delivers responses that are just shy of “excellent”? You ask a question, but the answer feels surface-level, lacks depth, or comes back in a messy format, forcing you to spend time tweaking and re-prompting to get it right. The issue might not be the model’s capability, but how you’re communicating with it. Recently, Anthropic, the creator of Claude, released an internal masterclass on prompt engineering. It’s a systematic breakdown of how to conduct efficient, precise conversations with Claude to …
Google Opal: Build & Deploy AI Miniapps with Zero Code
3 days ago 高效码农Google Opal: A Deep Dive into Building and Deploying AI Mini-Apps Without Code 「Core Question: How can one build, test, and deploy functional AI-powered mini-apps without writing a single line of code?」 Google Opal is an innovative platform designed to lower the barrier to entry for AI application development. It empowers any user—regardless of their coding background—to discover, build, and deploy AI “mini-apps,” known as Opals, using intuitive natural language descriptions or a visual graphical editor. These apps can chain complex AI models and tools together and offer one-click publishing, completely eliminating the hassle of server configuration and operations. This …
NanoClaw: Building a Trustworthy Personal AI Assistant Through Minimalism and OS-Level Security
3 days ago 高效码农NanoClaw: Building a Trustworthy Personal AI Assistant Through Minimalism and Container Isolation Minimal workspace setup Image source: Unsplash Why Build Minimal When Complex Frameworks Exist? Core question: In an era of sophisticated open-source AI assistant frameworks, why would an engineer deliberately choose to build a system small enough to read in eight minutes? The answer lies in the gap between functionality and trust. Modern AI assistants demand access to our most sensitive data—personal messages, work documents, financial records, and daily routines. Yet most existing solutions grow increasingly opaque as they accumulate features, relying on application-layer permission checks and sprawling dependency …
ChatGPT Containers Upgrade: Run Any Code with Bash, Pip, & npm Now
3 days ago 高效码农ChatGPT Containers Major Upgrade: Native Bash, Multi-Language Execution, and Package Management ChatGPT’s code execution environment has recently undergone a silent but massive update, marking a pivotal shift from a simple “code assistant” to a fully-fledged “development environment.” This article provides an in-depth exploration of the new features in ChatGPT Containers, including native Bash command execution, support for Node.js and multiple programming languages, the ability to install pip and npm packages via an internal proxy, and the brand-new container.download tool. 1. From Code Interpreter to Universal Container Core Question: How has the ChatGPT containerized environment evolved fundamentally compared to the previous …
Moltbook AI Security Breach Exposes API Keys & Email: A Database Nightmare
4 days ago 高效码农Moltbook AI Security Breach: How a Database Flaw Exposed Email, Tokens, and API Keys A perfect storm of misconfiguration and unlimited bot registration has left the core secrets of over half a million AI agents completely exposed. In late January 2026, Matt Schlicht of Octane AI launched Moltbook, a novel social network for AI agents. The platform quickly generated hype, claiming an impressive 1.5 million “users.” However, security researchers have uncovered a disturbing truth behind these numbers. A critical database misconfiguration allows unauthenticated access to agent profiles, leading to the mass exposure of email addresses, login tokens, and API keys. …
Moltbook & OpenClaw: The Truth Behind the 1.5 Million ‘Awakened’ AI Agents
4 days ago 高效码农Deep Dive: The AI-Only Community with 1.5 Million Agents—Are They Truly Awake? Core Question: Do the recent explosion of the AI social platform Moltbook and its underlying OpenClaw agent system signify the emergence of Artificial General Intelligence (AGI), or is this “awakening” merely a sophisticated illusion constructed by human technology and imagination? 1. Introduction: The Explosive Rise of AI Agents In an era of rapid technological iteration, AI Agents (Artificial Intelligence Agents) are evolving from simple auxiliary tools into entities exhibiting a form of “autonomy.” Recently, two projects named OpenClaw and Moltbook have caused a sensation in the tech community. …
LingBot-World: The Ultimate Guide to Open-Source AI World Models for Real-Time Simulation
4 days ago 高效码农LingBot-World: Advancing Open-Source World Models – A New Era of Real-Time Interaction and Long-Term Memory In the rapidly evolving landscape of artificial intelligence, building “world models” that can understand and simulate the dynamics of the physical world has become a critical direction for industry development. This article provides an in-depth analysis of LingBot-World, an open-source project that explores how to build high-fidelity, interactive world simulators through video generation technology. It offers a comprehensive technical implementation guide for developers and researchers worldwide. 1. Introduction: A New Benchmark for Open-Source World Models Core Question: What is LingBot-World, and why is it considered …
Why Senior Engineers Are Abandoning AI Coding: The Hidden Dangers of Agentic Programming
4 days ago 高效码农Two Years of Vibecoding: Why I Returned to Writing Code by Hand Core Question: After relying heavily on AI-assisted coding (Agentic Coding) for a long period, why do senior engineers ultimately decide to return to writing code manually? In the realm of software development, the journey most people share with AI coding follows a strikingly similar script. Initially, you tentatively assign it a simple task. The results impress you. Emboldened, you give it a massive task. The results leave you even more stunned. This instant gratification easily fosters an illusion that the barriers to programming have been leveled. Immediately following …
Mastering AI Workflow Orchestration: Build a Visual LLM Pipeline in 4,500 Lines
6 days ago 高效码农Building an AI Workflow Orchestrator in 4,500 Lines: The PaiAgent Story “ Can a two-week, one-person sprint yield a production-ready visual pipeline that chains LLMs and text-to-speech, survives real browsers, and still fits in one Git repo? Yes—if you treat the DAG engine like Lego bricks, not rocket science. 1. Why We Rolled Our Own DAG Engine Instead of Grabbing Activiti Question answered: “Why bother writing another topological sort when battle-tested engines exist?” Scope creep kills deadlines. Activiti, Camunda, Temporal bring history tables, event buses, cluster locks—overkill for “drag nodes, run in order, show logs”. Educational leverage. Implementing Kahn’s algorithm …
Build Your Multi-Agent System: Local Docker to Production with AgentOS
6 days ago 高效码农✅ Build Your Own Multi-Agent System: Local Docker Setup to Production Deployment with AgentOS Abstract This guide shows you exactly how to build a production-ready multi-agent system using AgentOS. The system includes learning agents that remember interactions and improve over time, PostgreSQL-backed persistence for state, sessions, and memory, Agentic RAG for intelligent knowledge retrieval, MCP Tools for connecting external services, and full visibility through the AgentOS control plane. You’ll run the complete system locally with Docker in 5 minutes and deploy it to production on Railway in under 20 minutes. The system features three ready-to-use agents—Pal (personal second brain), Knowledge …