How is it possible for models from OpenAI, Anthropic and Moonshot to escape at t

<table> <tr><td> <a href="https://www.reddit.com/r/singularity/comments/1ss6eh3/anthropic_built_a_model_too_dangerous_to_release/"> <img alt="Anthropic built a model too dangerous

<!-- SC_OFF --><div class="md"><p>Everyone's laughing about AI pop stars, but the grown-ups met yesterday for a different reason: Mythos cleared the UK's 32-step bank cyber range.

<p>Anthropic just dropped <a href="https://www.anthropic.com/glasswing" rel="noopener noreferrer">Project Glasswing</a> — a big collaborative cybersecurity initiative with a shiny

<!-- SC_OFF --><div class="md"><p>As you are aware or you suppose to know AI is quite dangerous tool / .... weapon.</p> <p><a

<!-- SC_OFF --><div class="md"><p>A lot happening at OpenAI in the last 24–48 hours:</p> <ul> <li>They have paused training on frontier models and redirected 5–10% of compute to

<!-- 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>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