Ghodsi: Desktop AI automation stalls because frozen models lack continuous learning
Ali Ghodsi · AI Enterprise - Databricks & Glean | BG2 Guest Interview · Bg2 Pod · Dec 23, 2025 · at 13:25
Databricks CEO Ali Ghodsi explains why applying generative AI models to computer desktop use and UI automation remains unsolved.
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“The biggest problem is that you bake a model, and that's where it's learned everything it needs to learn, and then you freeze it, and then you launch it, and then maybe you give it some context, but that's it. It's frozen. So therein lies the problem that, you know, we need an AI that really can sort of continue learning while it's using the desktop and clicking around. So I do think this problem is hard to nail, but I think Arvind is right that it's like, there's no comparison at all. It's like rule, brittle rule-based stuff versus a learning agentic system. I think it's going to nail it perfectly, but we haven't really nailed computer use yet.”
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