@vimtor models don’t “think” in a human sense, they generate tokens step by step, and stop when an end token or token limit wins.
harder prompts make them go longer because the model’s pattern-matching keeps favoring more reasoning before it’s confident enough to stop
@DanielSmidstrup in harnesses: a real config standard. anthropic keeps this locked down, so you end up redoing setup everywhere
in models: better live-data exploration, stronger memory, and more consistent deep thinking , like when opus is fully locked in.
it can do it, but not often enough.
@T_Zahil Hermes is the coordination layer, not a replacement for codex or claude
I turn my brainstorm/intent into /goal with it, then let it pilot them with tmux.
it keeps multi-step flows moving without me and handles the stuff around code like assets, image gen, ops