[KongchangAI]
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Logan Kilpatrick

Logan Kilpatrick is a product lead at Google DeepMind and a regular presence on the Release Notes podcast, where he is responsible for the external releases of the Gemini series of models and for developer relations.

Timeline (last 90 days)

Oct 18

Kilpatrick explicitly stated that when a use case requires higher reliability, fine-tuning is a direction worth investing in.

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Oct 18

Logan Kilpatrick is the product lead for Google AI Studio and the Gemini API at Google DeepMind.

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Oct 18

On episode 12 of the Chain of Thought podcast, Logan Kilpatrick said that solving a domain-specific computer vision problem typically takes nine to twelve months (in the smooth case).

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Oct 18

Kilpatrick judges that multimodal AI has largely not yet entered production environments, with very few successful deployments, whereas text deployments are already quite common.

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Oct 18

Kilpatrick estimates that at least half of the teams that have already put AI in front of users lack a decent evaluation plan and are unclear on what would count as a successful delivery.

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Sep 12

Logan Kilpatrick, head of Google AI Studio, stated on X that Gemini 3.8 Flash and 3.7 Flash are essentially the same speed.

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Sep 6

This release was led by Logan Kilpatrick, who previously served as Head of Developer Relations at OpenAI and joined Google DeepMind in 2024 to lead Gemini developer outreach.

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Aug 24

Logan Kilpatrick此前曾在OpenAI担任开发者关系负责人,2024年初离开OpenAI加入谷歌

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Aug 24

该项目由谷歌AI团队负责人Logan Kilpatrick主导发布

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