Small Models, Big Brains: Falcon-H1R and the Economics of Reasoning
Opening — Why this matters now The industry has been quietly converging on an uncomfortable realization: raw model scaling is running out of low-hanging fruit. Training bigger models still works, but the marginal cost curve has become brutally steep. Meanwhile, real-world deployments increasingly care about inference economics—latency, throughput, and cost per correct answer—not leaderboard bravado. ...