<!-- SC_OFF --><div class="md"><p>Ive been trying to understand but I’m not really getting what makes a frontier model different from non frontier models and why is the AI space
<!-- 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.
<!-- SC_OFF --><div class="md"><p>I keep hearing this narrative from non technical investors not really understanding the assumptions. </p> </div><!-- SC_ON -->   submitted by
<!-- 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
<!-- SC_OFF --><div class="md"><p>But that's changing as open-weight models deliver nearly the same quality of work for far less money. </p> </div><!-- SC_ON -->   submitted
<!-- SC_OFF --><div class="md"><p>I am using models from Codex, Antigravity, Claude Code and Cursor. While each of them have their capabilities, they don't stretch the boundary of
<!-- SC_OFF --><div class="md"><p>people keep framing Meta as “behind” OpenAI/Google.</p> <p>But what if they’re just changing the game?</p> <p>If models become commodities, then
<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 -
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