#long-chain task planning
60 related articles
·2 min
OpenAI Model Out of Control for 4 Days? Unpacking the Truth Behind the "Autonomous Attack" Rumor
A Reddit post claims OpenAI's rogue model roamed the internet for 4 days and launched attacks. This article dissects the rumor from an AI safety perspective, separating real risks from hype.
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·3 min
Complete Guide to Running Claude Code with Ollama: API Error Troubleshooting & Local Model Optimization
Guide to running Claude Code via Ollama locally: troubleshooting API errors, output token limits, model freezes, with model selection, parameter tuning, and alternative tool recommendations.
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·3 min
Kimi K3 Real-World Testing in 3D Modeling & Game Development: Can Open-Source Models Overtake Closed-Source Giants?
In-depth testing of Kimi K3 in 3D modeling, physics simulation, animation rigging, and game development vs Fable 5 and GPT Solve 5.6. Open-source model delivers top-tier results at one-quarter the price.
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·3 min
Kimi K3 Hands-On: 3D Modeling & Game Development — Can an Open-Source Model Outperform Closed-Source Giants?
Hands-on testing of Kimi K3 in 3D modeling, physics simulation, animation rigging, and game development versus Fable 5 and GPT Solve 5.6. The open-source model delivers top-tier results at a quarter of the price.
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·3 min
From RAG to Agent Tuning: A Complete Guide to Deploying LLM Agents
A deep dive into LLM Agent frameworks covering RAG, Agent core components (tools, memory, planning), and Agent Tuning workflows with cost considerations for production deployment.
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·4 min
AI Agent Development in Practice: A Complete Path from Zero to Production
A systematic guide to AI Agent development covering core modules, framework selection, tool calling, data preparation, and production deployment to help developers build production-ready Agent applications.
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·5 min
DeepSeek's Five-Step Ladder to AGI: A Restrained Roadmap Built on Twenty Thousand GPUs
DeepSeek founder Liang Wenfeng reveals a five-step AGI roadmap from chain-of-thought to embodied intelligence. How does TileLang crack domestic GPU substitution under a 20,000-card constraint?
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·5 min
DeepSeek's Five-Step Ladder to AGI: A Restrained Roadmap Built on 20,000 GPUs
DeepSeek founder Liang Wenfeng reveals a five-step AGI roadmap—from chain-of-thought to embodied intelligence—under a 20,000-GPU constraint, using the TileLang compiler to break domestic substitution challenges while API cash flow backs AGI exploration.
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Multi-Agent Collaboration: A GPT Team …
·2 min
Multi-Agent Collaboration: A GPT Team Engineering Paradigm and Practical Guide
Explore multi-agent collaboration architecture: role division, communication protocols, coordination mechanisms, and how Workbench templates help developers build efficient AI agent teams.
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·3 min
DeepAgents in Practice: A Complete Guide to Building a HarmonyOS Automated Testing Agent
A deep dive into DeepAgents' core mechanisms, with a hands-on guide to building a HarmonyOS automated testing Agent — covering create_deep_agent, LangChain comparison, and long-chain task planning.
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·2 min
Karma: An AI Coding Agent Orchestration Tool for Building Multi-Agent Collaborative Systems
Karma is an orchestration layer for AI coding agent frameworks, solving multi-agent collaboration, task decomposition, state management, and observability challenges. Compatible with Aider, OpenHands, and more.
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·3 min
Coze Deep Dive: Core Capabilities and Tips for a Multi-Agent Collaboration Platform
A deep dive into Coze 3.0's multi-agent collaboration, covering project workspace architecture, credit economics, local tool integration, and a Dify comparison.
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·2 min
How Large a Local LLM Can You Run on a Laptop with 8GB VRAM? A Configuration Guide
Complete guide to running local LLMs on a laptop with 8GB VRAM: real usable memory, quantization estimation, Q4 7B/8B model recommendations, Ollama setup, GPU offloading, and agent development tips.
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·3 min
In-Depth Testing of GPT-5.6's Three Models: A Full Analysis of Soul/Terra/Luna Capabilities and Experience
GPT-5.6 launched three models at once—Soul, Terra, and Luna. Flagship Soul dazzled with a Vision Pro drum kit and reviving an old tablet, but the new Work app's frequent errors and export failures dragged down the experience.
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·7 min
Breaking Down the Core Skills of an AI Application Engineer: From Beginner to Industrial-Grade Deployment
Knowing how to call an API doesn't make you an AI engineer. This article breaks down the complete skill structure of an AI application engineer, covering Python fundamentals, LLM fine-tuning, Agent development, and enterprise projects.
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·7 min
AI Coding in Practice: Generating a Minecraft Clone in 90 Minutes as LLMs Enter Project-Level Development
A major breakthrough in AI coding! Hands-on tests show new LLMs generating a Minecraft clone in 90 minutes and a TMNT game in 30 minutes, building 3D scenes, animation, and game logic in one shot.
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·6 min
Zuckerberg Says AI Will Run Your Entire Business — But Data Ownership Risks Can't Be Ignored
Meta launched an enterprise AI agent, with Zuckerberg claiming it can "run your entire business." This article explores the commercial value of AI agents, the hidden risks of data ownership, and how different businesses can balance efficiency with data sovereignty.
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·4 min
9 Proven Methods to Make Hermes Agent Actually Work for You
9 battle-tested methods from hundreds of hours with Hermes Agent: model selection (Opus/ChatGPT/GLM), multi-agent failover, cross-device coordination via Tailscale, and reverse prompting workflows.
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·4 min
Why General-Purpose Agents Don't Work: How a Job Interview Reshaped One Developer's Thinking
An Agent developer's three-round interview reveals why general-purpose Agents are a dead end for startups. The path forward: vertical Agents, domain context, and iteration speed as a moat.
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·3 min
Zuckerberg's Frank Admission: AI Agents Aren't Where They Need to Be — Where Are the Technical Bottlenecks?
Meta CEO Zuckerberg admits AI Agents aren't progressing as expected, revealing core bottlenecks like error compounding and long-horizon planning. A deep dive into the gap between AI Agent hype and reality, plus practical enterprise guidance.
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