136 related articles

An in-depth analysis of the open-weights model debate: public release brings transparency and innovation, but raises safety and misuse risks. Exploring tiered release, red-teaming, and governance challenges.

An in-depth analysis of the open-weights model debate: publicly releasing model weights enables transparency and innovation but raises safety risks. Explores tiered release, red-teaming, and the industry dynamics behind open AI governance.

RX 9060 XT vs RTX 5060 Ti both offer 16GB VRAM — which is better for local AI inference? A full comparison of CUDA ecosystem, ROCm compatibility, LLM performance, and real-world usability.

GitHub Dependabot now defaults to a three-day cooldown for version update PRs to guard against supply chain attacks and improve dependency stability.

A U.S. citizen faces criminal charges after a GrapheneOS phone auto-wiped during an airport border search. Analysis of the privacy rights vs. law enforcement clash.

OpenCode has become the world's most popular open-source coding agent—8M monthly active developers, 75+ model providers, and custom sub-agent routing. This deep dive covers its core features, config tips, and business model.

DeepSeek founder Liang Wenfeng shares his views on open source, pricing, computing power, and the five-stage roadmap to AGI in a 4-hour internal investor talk.

NVIDIA CEO Jensen Huang says US companies should absolutely be allowed to use Chinese open-source AI models like DeepSeek and Kimi, calling backdoor fears a misunderstanding and arguing great models drive more compute demand.

Moonshot AI's 2.8T-parameter open-weight model Kimi K3 rivals Anthropic and OpenAI flagships, sparking a new 'DeepSeek moment' and challenging U.S. AI dominance.

In the AI programming era, Vibe Coding alone can only build toys. This article deeply analyzes the complete engineering path from Vibe Coding to SDD spec-driven development, covering Claude Code and Codex tool selection, the SuperPower plugin, and domestic LLM comparisons.

A focused guide to the core interview topics for LLM application engineers, covering agent architecture, Multi-Agent, Langfuse evaluation & tracing, security, and RAG optimization.

A focused guide to core LLM application engineer interview topics, covering agent architecture, Multi-Agent, Langfuse evaluation, security, and RAG optimization.

T-Head open-sources AI software stack T-Head SAIL at WAIC to lower the barrier for domestic chip development; Kimi K3 tops the WebDev leaderboard; Qwen 3.8 Max Preview cuts prices aggressively; Moonshot prepares a Hong Kong IPO; and Oracle switches its data center to a fuel cell microgrid.

AI Engineer Summit deep dive: Local AI hits a real inflection point, driven by privacy and cost. Multi-model collaboration goes mainstream, NVIDIA + ExoLabs achieve 10x gains, open-source ecosystem accelerates.
Why We Must Actively Fund Open Source …
Open source AI faces soaring compute costs and fierce talent competition that markets alone can't solve. This deep dive explores why actively funding open source AI is essential for tech democratization.
Tailscale SSH Critical Vulnerability T…
Tailscale discloses critical vulnerability TS-2026-009 in its built-in SSH feature. Insecure argument handling lets restricted users bypass ACLs and gain root. Learn the technical details and how to respond.
Smart Proxy: The Key Architecture for …
Too much AI permission is risky; too little kills productivity. A smart proxy acts as a controllable middleware layer — intercepting, auditing, and policy-gating AI agent actions in tools like Claude Code and Cursor for safe autonomous operation.

CSDN founder Jiang Tao analyzes how DeepSeek uses open source to challenge ChatGPT's dominance — from technical transparency to national AI strategy.
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.

With AI tools, beginners can build a home self-hosting server without years of experience. This guide covers hardware selection (HP EliteDesk, ZFS, IP-KVM), Docker deployment, and how AI compresses the technical learning curve.