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Deep dive into how Cursor trained Composer2: two-stage architecture, global distributed clusters, MOE numerical alignment, simulation anti-cheating, and more.
Stable Diffusion Local Deployment Guid…
Complete guide to deploying Stable Diffusion locally for free unlimited AI image generation. Covers installation steps, model management, hardware requirements, and use cases.
Stable Diffusion Local Deployment Guid…
Complete guide to deploying Stable Diffusion locally, covering hardware requirements, installation steps, model configuration, and usage tips. Run AI art for free on your own PC with full privacy.
Stable Diffusion Poxian Edition Bundle…
Stable Diffusion Poxian Edition bundle: install in 3 steps with 337 built-in workflows, Chinese-annotated models, GTX 1060+ support, and completely free local AI image/video generation.
PyTorch Beginner's Guide: A Complete A…
A comprehensive analysis of why PyTorch became the most mainstream deep learning framework. Covers framework history, comparisons with TensorFlow and Keras, dynamic graphs, Tensors, installation guide, and cloud trends.
Vibe Coding for Absolute Beginners: Le…
A beginner's guide to Vibe Coding: learn the core philosophy, set up Miniconda virtual environments, and use natural language to let AI write code for you — no programming experience required.
Rebuilding a Complete GUI App with Dee…
A Bilibili creator used DeepSeek V4 Pro via Cursor to rebuild a complete IndexTTS GUI app for just 18.63 RMB (~$2.50). Full breakdown of the AI coding workflow, features, and cost comparison.

Deep dive into vLLM's core technologies for high-throughput LLM inference, including PagedAttention memory management, continuous batching, distributed deployment, and comparisons with TensorRT-LLM.

AMD stock breaks $500, hitting a new all-time high. Deep analysis of AMD's AI chip strategy, competition with NVIDIA, MI300X advantages, and potential risks.
Expert OpinionsWindsurf CEO Varun Mohan shares insights on AI coding IDE pivots, product methodology, async Agent challenges, and differentiation strategy vs Cursor. Speed is the only moat.
Deep DivesAnalyzing the "worse is better" philosophy in large model architecture: why DeepSeek V4 dropped N-gram, why Transformer dominates AI, and three iron laws of simple, efficient model design.
TutorialsA detailed guide to Ollama's core features: free open-source local LLM management with cross-platform support, intelligent GPU/CPU scheduling, and API integration for running DeepSeek and other open-source models locally at zero cost.
TutorialsLearn how to use DeepSeek to rewrite ASR local AI project startup scripts from countdown mode to intelligent output-based detection, with full steps and troubleshooting tips.
Tech FrontiersOpenAI co-founder Greg Brockman takes over product strategy, Cerebras IPO hits $67B market cap, and open-source agents OpenHuman and OpenClack dominate GitHub as AI shifts from capability to deployment.
Tech FrontiersGPT-5.6 internal testing launches UltraFast mode, Codex goal-driven mode revolutionizes AI programming, MiniMax cuts costs 360x, Anthropic vs OpenAI valuation war, Cerebras IPO raises $5.55B, Figure robot validates 8-hour autonomous ops, Google Vio 3.1 leads AI video.
Product ReviewsHands-on testing of Google Gemma 4 open-source models running offline on three phones, with Dense vs MOE architecture explained and a complete Ollama + Claude Code deployment tutorial.
Product ReviewsMoore Threads launches AI Coding Plan powered by its MTT S5000 GPU and GLM-4 code model, achieving full-stack domestic AI coding. Compatible with VS Code and Cursor, with a 30-day free trial.
TutorialsConfused learning AI from scratch? This guide breaks down why fragmented learning fails and provides a complete path from Python to deep learning with practical tips.
Industry InsightsIn-depth analysis of the AI large model job market, breaking down the two core directions—algorithm research and engineering deployment—covering requirements, barriers, and career prospects.
TutorialsGuide to enabling MTP multi-Token prediction acceleration in llama.cpp, covering CUDA setup, desktop configuration, model selection, and benchmarks showing ~60 Token/s with Qwen3 27B.