Open Weight vs Proprietary AI Models

<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>MeshCore is open-source mesh networking firmware - 38,000 active nodes, 100,000 app users, 85+ firmware releases. Started January 2025, all

<!-- 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/1s1kmch/chinas_opensource_dominance_threatens_us_ai_lead/"> <img alt="China's open-source dominance

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1st8l2u/kimi_k26_takes_1st_overall_of_open_weights_models/"> <img alt="Kimi K2.6 takes 1st overall of open

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1sskmhv/recent_open_models_from_last_6_months_nov_2025/"> <img alt="Recent Open models from last 6 Months -

<!-- SC_OFF --><div class="md"><p>The gap between frontier models has been converging. Top players like OpenAI, Anthropic, and Google are rapidly approach performance parity.

<!-- SC_OFF --><div class="md"><p>I think the name of the model, mythOS, heavily implies they plan to open source this model soon, including the weights and the training dataset.