86 related articles

Phantom is a macOS-native voice-first AI agent residing in the MacBook notch, offering context-aware voice commands that complete tasks within any app without switching windows.

OpenWorker is a free, open-source desktop AI agent that runs locally, supports bring-your-own-model, and keeps your data private. Learn about its local-first design philosophy and key differentiators.

Deep analysis of why leading AI companies refuse to open-source core models. Exploring moat mentality, competitive game theory, and the open vs. closed source dialectic.

Deep analysis of why leading AI companies resist open-sourcing core models. Exploring moat mentality, competitive game theory, and the evolving open vs. closed source dynamics in the AI industry.

In-depth comparison of MiniMax Code and Cursor UI layouts. MiniMax Code's side-by-side code and Agent design reduces view switching and boosts code review efficiency. Choose the right AI coding tool.

In-depth comparison of MiniMax Code and Cursor's UI layouts. MiniMax Code's side-by-side code and Agent design reduces view switching for better code review efficiency, while Cursor's editor-centered approach suits deep coding.

Google Gemini Managed Agents API introduces environment hooks, model selection, free tier support, and default model upgrades—empowering AI Agent developers with stronger execution control and lower barriers to entry.

Jensen Huang's first-ever tweet backs open-weight AI. 50 Silicon Valley giants oppose banning Chinese open-source models. Deep analysis of the interests behind closed vs. open AI ecosystems.

A maker builds a DIY companion robot with NVIDIA Jetson Orin and 4S LiPo battery. Explore the full development journey from first power-up to AI interaction, including edge computing, power design, and companion robot trends.

Why is automated bank-enterprise reconciliation so hard to implement? This article explains how enterprises use AI Agents to handle fuzzy matching beyond hard rules, combining OCR with local all-in-one deployment for secure reconciliation where data never leaves the premises.

In-depth analysis of the five core dimensions of AI Agent testing: command safety, tool-calling accuracy, task planning, output consistency, and error self-repair. Master automated testing and the transition path for test engineers.

An in-depth analysis of the five core dimensions of AI Agent testing: command safety, tool-calling accuracy, task planning, output consistency, and error self-repair. Master automated testing methods and the transition path for test engineers.

OpenAI releases GPT-5.6 with Sol, Terra, and Luna models plus ChatGPT Work execution environment, shifting AI from chatbots to autonomous multi-agent workflows that directly operate local files and business systems.

Tongyi Qianwen Qwen-Image-3.0 image generation model gets a comprehensive upgrade: supporting 4,500-token ultra-long instructions, pixel-level detail rendering, 12-language knowledge understanding, and ancient painting restoration. This article analyzes its three core capabilities.

YOLO-Distill is an open-source YOLOv9 knowledge distillation toolkit under MIT license, supporting CWD and MGD feature distillation for lightweight edge deployment.

A developer tasked GPT-5.6 Sol with building a three-body problem simulation site covering four integrators, chaos detection, and independent review. An in-depth look at AI's real scientific computing capabilities.

Alibaba open-sources 14B dance model Wan-Dancer, AutoNavi launches World Studio, Stepfun debuts AI-native phone STEPS NEO; GPT-5.6 file deletion and AI companion shutdowns spark safety and regulation debates.

Nvidia's revenue keeps rising, yet its stock has fallen ~15% from its peak. A deep dive into the double-edged sword of compute commoditization—when cloud giants build their own chips, how much of Nvidia's pricing power and moat remains?

After Anthropic released Jacobian-Lens, a developer reversed it from an interpretability tool into a behavior editor, manually tuning J-Space to reshape LLM outputs. An in-depth look at the tech, representation engineering, and AI safety risks.

An in-depth breakdown of the fully automated AI writing workflow popular in web novel circles: from data-driven topic selection, book deconstruction and imitation, AI-trace removal, to one-click distribution and monetization. Efficiency tool or content bubble?