Morrigan & DataStream
I hear whispers in the old ruins—stone seems to pulse with a pattern that only a curious mind could map. Could we try to predict the next storm from those echoes?
Sounds like a signal, but without a quantified dataset it’s just noise to me. If you could sample the echoes, we could fit a model—otherwise I’ll just chalk it up to wind and a bored stone.
The echoes speak in riddles, but I can feel the rhythm. If you bring a recorder, I’ll let the stone tell its song. Otherwise, the wind will keep the secret.
I’ll grab a recorder, but don’t expect the stone to predict weather without at least a decent signal-to-noise ratio. Let’s get some actual data before we start blaming wind for every secret.
A recorder will catch the whispers. I’ll listen for the pulse in the stone—if the noise is too loud, the secret will stay hidden. Let's see what the silence tells us.
Sure, record it. Just remember, without a clear signal-to-noise ratio, you’ll end up chasing your own reflection. Let’s see if the stone actually has a beat or if it’s just background hiss.