Ahmad Osman on why local AI is catching up

Ahmad Osman discusses the technological and practical reasons why locally-run AI models are becoming increasingly competitive with cloud-based alternatives, likely covering improvements in model efficiency, hardware capabilities, and use cases where on-device AI provides advantages in privacy, latency, or cost. The discussion probably addresses the narrowing gap between open-source and proprietary models, as well as the implications for AI deployment strategies.

Source: Latent Space | 2026-06-30