Simon Willison's update highlights a critical, often-overlooked layer of the AI stack: the connective tissue between raw model APIs and practical developer workflows. The addition of reasoning trace visibility is arguably more consequential than support for another flavor of Flash model, as it begins to address the 'black box' problem that plagues production debugging. However, this announcement also reveals a thinness in Google's own rollout; the removal of a 'minimal' thinking effort option in Gemini 3.7 Flash, coupled with browser-specific SVG rendering bugs Willison encountered, suggests these frontier models are still shipping as works-in-progress. For the industry, the takeaway is that infrastructure stability remains a distant second to the frantic pace of model iteration.
Google's Gemini plugin update adds new models and reasoning trace support
Simon Willison's latest plugin release integrates Google's newest Gemini variants and debugging features.
AIpressr commentary on an article originally published by Simon Willison.
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Editor's Take
As Simon Willison reports, the latest update to his llm-gemini plugin brings compatibility with Google's newly released Gemini 3.7 Flash and other models. While incremental tooling updates like this are useful for developers, they underscore a broader, and arguably more significant, trend: the AI ecosystem is becoming increasingly fragmented across proprietary model families. This forces developers to maintain a growing portfolio of specialized plugins, rather than working with a stable, universal interface. The real story here isn't the new models, but the mounting integration tax for anyone trying to keep pace.
“I had Gemini 3.7 Flash draw me some pelicans riding bicycles at high, medium, and low thinking efforts.”
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