The Anatomy of AI Image Generation: From Pixel Diffusion to Flow Matching
Dissecting the evolution and working principles of modern image-generating AI: from U-Net to Diffusion Transformers, VRAM efficiency, and copyright regulation challenges.
Dissecting the evolution and working principles of modern image-generating AI: from U-Net to Diffusion Transformers, VRAM efficiency, and copyright regulation challenges.
Reviewing large language models from China that escape the main spotlight: a thorough breakdown of Xiaomi MiMo-V2.6, Tencent Hunyuan, 01.AI Yi, Baichuan, and StepFun.
A complete guide to China's large language model ecosystem in 2026, with an in-depth evaluation of DeepSeek, Qwen, GLM, Kimi and ERNIE across tiers, benchmarks and pricing.
Google has officially announced Gemini 4 Argon with a 1 million token output limit, going head to head with Claude Opus 5.5 and GPT-6.1 Sol in the reasoning model war.
A model's ability to call external functions opens up new applications, but agent system failures almost always come from planning and error handling, not from the model's intelligence.
Accelerator compute capacity is growing far faster than memory bandwidth, and that gap is what determines inference performance in practice.
A leading physics research laboratory has demonstrated a logical qubit that withstands thermal noise and electromagnetic interference.
Modern quantization techniques prove that large language models can run efficiently on ordinary workstations without significant accuracy loss.