Margin notes · Applied AI
Margin notes on Databricks, from the engineers.
What Databricks did, and what we read into it. Funding, pricing, products, renames, and what happens when the platform meets a client's production load. Written by the people doing the work, dated, with a position. RSS.
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- Databricks retired Gemini 2.5 without a grace period Gemini 2.5 Pro and Flash were retired on Databricks on 2 October 2026. A pinned model name is a dependency with an end date you do not set. Read
- ai_decide is the cheap model you put in front of the expensive one ai_decide is a Beta AI Function that answers structured questions over text with probabilities. Use it to route and triage before ai_query. Read