question about chinese models

<!-- SC_OFF --><div class="md"><h1>It appears that the quantity and quality of foundation models developed in China and the United States are changing rapidly.</h1> <p>But it is

<!-- SC_OFF --><div class="md"><p>Given the rate at which they have been advancing, I predict we are six months away from a leapfrog moment.</p> <p>EDIT - For those responding

<!-- SC_OFF --><div class="md"><p>I’m trying to understand why models from major labs (GPT, Claude, etc.) dominate real-world usage? You might say it's due to the expensive

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1t47qbw/deepseek_v4_pro_matches_gpt52_on_foodtruck_bench/"> <img alt="DeepSeek V4 Pro matches GPT-5.2 on

<!-- SC_OFF --><div class="md"><p>On October 16, 2026, China’s Ministry of Commerce and Ministry of Science and Technology released a draft revision to the Catalog of Technologies

<!-- SC_OFF --><div class="md"><p>Over the past year, frontier AI models have improved much faster than I expected. Features that felt state-of-the-art a few months ago are now

<!-- SC_OFF --><div class="md"><p>Everyone keeps saying the future is using high-capacity frontier models to systematically train and distill more efficient, low-cost models. And

<!-- SC_OFF --><div class="md"><p>OpenAI, Google, etc had a years long head start on training. Then DeepSeek and the other Chinese labs closed a lot of that gap in a much shorter