// Link · 10 April 2026

The Intelligence Paradox: Why We're Building LLMs Wrong (And How to Fix It)

LLMs aren’t failing because they’re small—they’re failing because scale is mistaken for intelligence. Benchmarks don’t reflect real-world use, alignment remains unsolved, and energy costs are ignored. The future of AI lies in specialized systems, human feedback loops, and interpretable architectures...

Hacker Noon

@hacker-noon · hackernoon.com

hackernoon.com

Hacker Noon@hacker-noon