iterative deployment
AssessTechniques
A deployment approach that improves systems through repeated release, observation, and refinement.
Why it's here
Placed in Assess: 1 article(s) of evidence from 1 source(s), led by research-stage coverage, with 1 in the last 30 days. Confidence 24%. Low accumulated evidence, so it defaults conservatively pending more signal.
Evidence (1)
- 6OpenAI Blog·7/20/2026researchOpenAI details safety lessons from long-running AI models
OpenAI outlines safety and alignment lessons learned from deploying long-horizon AI models that run for extended periods and can take many steps. The company describes new risks, observed failure modes, and safeguards refined through iterative deployment.