Frontier model labs are just tried of having to release a new model every couple

<!-- 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>Chinese labs seem way more willing to release open-weight models while the big US labs keep everything closed.</p> <p>My theory is that if

<!-- SC_OFF --><div class="md"><p>OpenAI CEO Sam Altman joined Alex Heath on the <em>Sources</em> podcast (Sept 2026) for a 1h 09m conversation unpacking why OpenAI paused a

<!-- SC_OFF --><div class="md"><p>the question now arise if there model was too good why they didnt released that model last month and even this month the truth was deepseek lost

<!-- 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

<table> <tr><td> <a href="https://www.reddit.com/r/ChatGPT/comments/1szv149/every_24_months_the_price_of_a_given_ai/"> <img alt="Every 2-4 months, the price of a given AI

&#32; submitted by &#32; <a href="https://www.reddit.com/user/neketguy"> /u/neketguy </a> <br /> <span><a href="https://v.redd.it/do1iv64m6tsh1">[link]</a></span> &#32; <span><a

<!-- 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.