Why Shrinking an AI Model Often Makes It More Useful

The AI industry has spent years in a scaling race, chasing the assumption that more parameters mean better performance. GPT-4 has an estimated trillion-plus parameters. Gemini Ultra is similarly massive. The implicit message: bigger is smarter. But for most practical software applications, this framing is backwards. A model that can discuss philosophy, write poetry, and explain tax law is…