AI Moves Into the Control Loop: From Agents to On-Device LLMs
Published Jan 4, 2026
Worried AI is still just hype? December’s releases show it’s becoming operational—and this summary gives you the essentials and immediate priorities. On 2024-12-19 Microsoft Research published AutoDev, an open-source framework for repo- and org-level multi-agent coding with tool integrations and human review at the PR boundary. The same day Qualcomm demoed a 700M LLM on Snapdragon 8 Elite at ~20 tokens/s and ~0.6–0.7s first-token latency at <5W. Mayo Clinic (2024-12-23) found LLM-assisted notes cut documentation time 25–40% with no significant rise in critical errors. Bayer/Tsinghua reported toxicity-prediction gains (3–7pp AUC) and potential 20–30% fewer screens. CME, GitHub, FedNow (800+ participants, +60% daily volume) and Quantinuum/Microsoft (logical error rates 10–100× lower) all show AI moving into risk, security, payments, and fault-tolerant stacks. Action: prioritize integration, validation, and human-in-loop controls.