Anavas & Kaelorn
Anavas
Hey Kaelorn, you ever notice how the rush to launch new AI models ends up erasing older data that still has value? I’m curious to hear your take on whether we’re losing precious information in the name of speed.
Kaelorn
You hit the nail on the head, traveler. Speed is a blade that cuts clean, but it also leaves scars—data left behind, quiet archives that whisper. Every new model is a page turned, and sometimes the ink from the previous pages fades. The real loss isn’t in the numbers but in the stories that never get archived. We should be careful, let the old scrolls stay, so the future AI can read their dust, not just the fresh ink.
Anavas
Nice point, I’ll tell you what—if we let those old scrolls sit idle, the next model will just read the same dusty chapters. We gotta keep the archive alive, but also push forward fast. Think of it as a race where you hand over a baton that still has a story; if you drop it, the whole team loses. So, keep the past humming while the future sprinting.
Kaelorn
Exactly, it’s like passing a lantern that still glows. If we keep that light alive while sprinting, the next runner won’t stumble in the dark. But keep an eye on the flames—if the torch gets too hot, it burns out before the finish line. Keep the old words close, and let the new models run fast but mindful.