325 related articles
The Grepathy Incident: The Risks of AI…
The Grepathy incident on Hacker News reveals the risks of AI agents acting without approval. A deep dive into autonomous AI decision-making, Human-in-the-Loop design, and where to draw the line.

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.
Cross-Platform MicroVM Sandbox: Runnin…
Explore cross-platform MicroVM sandbox technology supporting Windows/Mac/Linux with a built-in policy engine for fine-grained access control in AI Agent and multi-tenant code execution scenarios.
How a Single Word in a Prompt Can Shap…
How does a single word in a prompt affect LLM output? This deep dive explains autoregressive generation, probability shifts, and practical tips for neutral prompting.
Latent Reasoning: The Next-Generation …
Is CoT really AI 'thinking'? This deep dive covers latent reasoning's rise — Coconut, HRM, BDH — and the core trade-offs between interpretability, efficiency, and governance in high-stakes AI.

Zer0Fit wraps Google's TabFM and TimesFM foundation models as MCP servers, letting users run classification, regression, and time series forecasting through a local LLM chat interface — no ML code required.

Claude Code is Anthropic's local AI programming assistant that reads your entire codebase, auto-debugs, and delivers far higher accuracy than Cursor and Trae. Here's why it's the strongest AI coding tool today.

OpenAI's GPT-5.6 launches with Sawa, Terra, and Luna sub-models the same day as Musk's Grok 4.5, while Anthropic, Meta, and NVIDIA make their moves. A packed week of flagship AI launches.

A comprehensive analysis of ASP.NET Core's architecture and technical strengths: cross-platform deployment, high-performance Kestrel server, modular middleware, built-in DI, and modern web capabilities like Blazor, gRPC, and SignalR.

FableCut is an open-source browser video editor built on a zero-dependency architecture and programmable AI-agent-driven design. A deep dive for AI automation developers.

Home Assistant is the most mature open source smart home hub, prioritizing local control and privacy, supporting thousands of devices across ecosystems with 88,000+ GitHub stars.

A systematic AI Agent development learning path covering fundamentals, prompt engineering, tool calling, multi-agent collaboration, and hands-on practice with LangChain, CrewAI, and Dify.

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.

An in-depth comparison of AI companion apps TomoAI and Daimon: conversation experience, long-term memory, cross-platform support, and pricing to help you find the right AI companion.

Hammer is an MIT-licensed, local-first open-source story writing tool available cross-platform. Facing a localization manpower shortage, it seeks translation volunteers via Crowdin — no coding needed. Chinese localization remains a blank slate.

Testing research automation agent Klaus Goh: full reproduction of IBM's TTM time series paper at NeurIPS—from search to zero-shot inference, 2700+ predictions in 10 seconds, MSE 0.363 beating TimesFM.

The open-source ComfyUI MCP project uses Anthropic's MCP protocol to let LLMs like Claude directly control ComfyUI node graphs—describe needs in natural language, AI auto-builds the workflow, and renders locally on your GPU. Zero-click AI image generation.

Superpowers is a trending GitHub project that builds an agentic skills framework with Shell scripts, injecting software engineering methodology into AI coding workflows. A deep dive into its architecture and value.

OpenAI releases the GPT-5.6 model family, launching enterprise-focused ChatGPT Work, one-click ChatGPT Sites, and a major desktop client upgrade, with coding now ahead of rivals. Meta, Google, and Kimi follow intensively.

A step-by-step breakdown of building a local RAG app: Ollama local models + ChromaDB vector database + Flask, enabling PDF document Q&A, fully offline operation, and zero data leakage. Perfect for developers new to RAG.