Are frontier AI models starting to have much shorter lifespans?

<table> <tr><td> <a href="https://www.reddit.com/r/singularity/comments/1sr2rk5/anthropic_expands_amazon_partnership_with_5gw/"> <img alt="Anthropic expands Amazon partnership

<p><strong>271 zero-day vulnerabilities. One AI model. One Firefox release.</strong> And that's just one of four stories worth your attention this fortnight.</p> <p>If you run

<table> <tr><td> <a href="https://www.reddit.com/r/ChatGPT/comments/1s34dvz/nobody_seems_to_care_that_reality_is_coming_to_an/"> <img alt="Nobody seems to care that

<table> <tr><td> <a href="https://www.reddit.com/r/OpenAI/comments/1sm6gmv/ai_can_now_design_and_run_biological_experiments/"> <img alt="AI can now design and run biological

<!-- SC_OFF --><div class="md"><p><strong>quick context:</strong> we're a small AI creative agency, 9 people, based in Pune. we work with brands on commercial visuals product

<!-- 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>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>I’ve been thinking about the current AGI discussions, especially the debate between scaling language models and building embodied systems.</p>