Local-Ai

• Open-Weight vs Frontier: How Close Is the Accuracy Gap Really? March 22, 2026

  Benchmark scores for open-weight models have converged with frontier cloud models on many tasks. But benchmarks measure what benchmarks measure. This is what the data actually says about where the gap is real and where it has closed.

• Tinybox vs Apple Silicon vs Project Digits: Which Local AI Box for Engineering Teams March 22, 2026

  Three different philosophies for running AI locally: raw GPU VRAM (Tinybox), unified memory that just works (Apple Silicon), and the Nvidia stack in a compact box (Project Digits). This is a decision guide, not a benchmark sheet.

• Local AI Inference Has Crossed a Threshold March 22, 2026

  Three things converged in 2026: hardware that can actually run useful models, open-weight models that match cloud quality for most engineering tasks, and economics that make the API-forever assumption look increasingly expensive. The architectural question has shifted from 'can you run AI locally?' to 'why are you paying per-token when you don't have to?'