"When I walked into a conference room in Google's San Francisco building last week, I expected to find the typical tech briefing setup with rows of chairs facing a wall of screens and a corporate voice managing a slide deck. Instead, I found myself in what looked more like group therapy with a large circle of cozy chairs arranged around the center of the room."
"About a dozen carefully selected testers and creators, including myself, sat down with the team behind Gemini 3, which had just gone public, and Nano Banana Pro, which would debut the next day. Also: Google's Gemini 3 is finally here and it's smarter, faster, and free to access That rapid release schedule couldn't have been more telling. The AI industry is in the midst of an unprecedented race, with OpenAI, Anthropic, Google, and others entrenched in a constant scramble to capture user attention"
A conference briefing used a circle of cozy chairs for about a dozen selected testers and creators to meet the teams behind Gemini 3 and Nano Banana Pro. The industry faces an unprecedented race among major AI developers to capture user attention by delivering more valuable models. Gemini 3's release was delayed to pursue a two-pronged approach: aggressive pre-training targets to achieve state-of-the-art reasoning with nuanced, deep multimodality, and extensive post-training work focused on usability improvements. The delay prioritized delivering nuanced performance and user-facing improvements rather than the fastest possible release.
Read at ZDNET
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