@blader “it’s really not close” what a load of bs, the model good, Its on par with 5.5 better at following instructions and the honest factor is really underrated. doesn’t write overly defensive code, so less slop. you have a skill issue my friend
Your Swift AI agents just went multiplatform 🚀 SwiftAgents adds Linux support → deploy Agents- to production servers Built on Swift 6.2, running anywhere ⭐️ https://t.co/oxnRLeUj90
The MAP study fundamentally reframes understanding of production AI agents. Where research often explores maximal autonomy and complex multi-step reasoning, production deployments succeed through bounded, controllable approaches with persistent human oversight. The 10-step ceiling, 70% prompting-only adoption, and 74% human evaluation dependence reveal a field where reliability trumps capability.