165 related articles

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.

A face-to-video workflow built on GGUF quantized models and ID LoRA runs on just an RTX 3060 with 6GB VRAM. This article breaks down its core principles, four-step process, and how it tackles facial consistency in AI video.

Two new ETFs explicitly exclude Musk's companies like Tesla and SpaceX, setting a precedent for excluding a specific entrepreneur. A deep dive into values-based investing, portfolio challenges, and market personalization.

An in-depth analysis of the "any Agent as an orchestrator" design philosophy, exploring the technical implementation of multi-Agent collaboration, context management, and workflow automation.

From a wooden staircase to AI models, reality always contains more detail than our abstractions can hold. This article unpacks the "detail explosion" behind project overruns and AI failures — and offers a practical philosophy for living with complexity.

Model capabilities are converging, making inference cost and scalability the new focus of AI competition. A deep analysis of AI infrastructure's core layers.

Behavior cloning model barely moves after training? This guide systematically covers data alignment, class imbalance, learning rate, and epoch count — with a step-by-step debugging checklist and advanced alternatives like DAgger.

A real case study: team builds AI Agent "Oogway" to auto-patrol after every job, investigate anomalies, create tickets, and update a knowledge Wiki — catching bugs before customers do.

June 23 AI roundup: Claude Sonnet 5 leaked with 1M context window, Zhipu hits HK$1T market cap, Alibaba releases Happy Horse 1.1, and Sakana AI launches a multi-model orchestration system.

Sam Altman revealed GPT-5.6 boosts token efficiency 54% in agentic coding — meaning near-halved API costs, longer work chains, and faster responses. A deep dive into the technical implications for developers.

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.

In-depth guide to Kaggle's free-tier compute: P100/T4 GPU with 30 hours/week quota, 12-hour sessions, suitable models like CNN and BERT fine-tuning, plus tips like mixed precision and checkpointing to start deep learning at zero cost.

When GitHub Copilot, ChatGPT and other AI coding tools shift from help to burden, developers face a new kind of professional fatigue—LLM burnout. Learn its causes, symptoms, and coping strategies.

MIRA is an interactive world model project for the multiplayer competitive game Rocket League, exploring how neural networks simulate multi-agent interaction and complex physics. An in-depth look at its significance, challenges, and prospects.

AI coding tools are changing development, but Vibe Coding hides risks in code quality and maintenance. This article explores Engineered AI Programming, compares Codex and Claude Code, and reveals real enterprise development paths.

FTPO (Final Token Preference Optimization) tackles AI "Doom Loops" at the training level rather than patching them at inference time — exploring its principles, value for small/quantized models, and open challenges.

An in-depth analysis of prompt engineering from a programmer's perspective: understand token probability generation, master the three principles—specific, rich, low-ambiguity—and learn iterative prompt tuning.

A deep dive into the underlying logic of prompt engineering from a programmer's perspective: understand token-probability generation, master the three principles of specific, rich, and low-ambiguity, and learn iterative prompt tuning.

AI coding assistants (Copilot/Cursor/Claude Code) frequently introduce vulnerable dependencies and hallucinate package names. This post analyzes an Agent-native CLI security tool and the shift-left security philosophy for AI-era supply chains.

A head-to-head hands-on test of Sakana Fugu vs GLM 5.2 based on real Hermes agent workflows. Covering tool calling, frontend generation, and code improvement to reveal each model's true performance, speed, and value.