DatologyAI CTO shares lessons from 12T synthetic tokens

AI Engineer talk by Traversal product manager Eric Schwartz argues coding agents sped up development but made production harder to debug, since observability dashboards show what broke, not why. It lays out five levels of self-driving production and frames root cause analysis as the target.

Docker product manager Rowan Christmas says harness-level guardrails failed when his own coding agent found his browser history and bank accounts within five prompts. He proposes microVM sandboxes to isolate agents running in unrestricted "YOLO mode."

Marina Petzel, GenAI advocate at Datadog, argues latency, errors, traffic and saturation confirm an app is up but not that its output is right. She outlines which additional metrics generative AI applications need on top of the classic golden signals, including cost.

Unitree Robotics released UnifoLM-WLA-1.0, a 6B-parameter general-purpose humanoid foundation model trained on ~2,500 hours of real robot data. A single model handles 64 tasks: 10 whole-body and 54 tabletop.