# Databricks researchers use agents to run AI experiments with AI Runtime

> Original title: AI research is changing as agents take on more of the experimentation loop.

- Source: Databricks
- Published: 2026-11-02T15:21:02.000Z
- Bad Influence: https://badinfluence.news/items/ux91vko558n3ekct596ldwl24
- Original: https://x.com/databricks/status/2117275798285476256

## Summary

Databricks says its researchers increasingly use agents to propose changes, launch parallel experiments, evaluate results and choose next steps. Training jobs for its AI Functions research workloads have grown 8x, making launch latency and GPU reliability critical. The post describes how the team uses AI Runtime to keep up with agent-driven research.

## Post

AI research is changing as agents take on more of the experimentation loop.

Instead of manually running every trial, our researchers increasingly use agents to propose changes, launch parallel experiments, evaluate results, and decide what to try next.

Across our AI Functions research workloads, training jobs have grown 8x.

At that scale, launch latency and GPU reliability become critical. Here's how we're using AI Runtime to keep up with the pace of agent-driven research.

https://www.databricks.com/blog/how-our-ai-research-team-uses-ai-runtime?utm_source=twitter&utm_medium=organic-social

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