AI Reports · MIT FutureTech · 2026-10-17 · Research paper
The Grand Illusion: The Myth of Software Portability and Implications for ML Progress AI Portability Problem: Innovation Suffers. New research shows machine learning frameworks lose significant functi
New research finds that machine learning frameworks can lose more than 40% of their key functions when ported to other hardware. Even where functions remain portable, performance can slow so much that it becomes untenable. The authors suggest that hardware specialization may impede innovation in machine learning research.