On the personal side, she created an agent that tracks developmental milestones for her new child. The agent provides insights into the data and suggests other metrics worth tracking. “I’m treating my child like an AI model,” Doshi joked. “I realize that, but it has been very helpful.”
A lot of people may turn up their noses at providing so much personal data to an AI model running in Google’s cloud, but sensibilities may adjust if this stuff becomes truly useful. Many of the ways people share data with Google today would have been unthinkable 10 or 15 years ago.
Spark is rolling out to AI Ultra subscribers starting next week. Google has added a new tier of Ultra, which gives you access to the latest features. It costs $100 per month, which most would still consider an astronomical amount for AI tools, but the $200 per month tier ($50 lower than before) still exists for those who want higher token limits. Google says the plan is to roll Spark out to all users (even those who don’t pay for Gemini) down the road.
Gemini Omni: an everything model (eventually)
Veo 3, Google’s concerningly good video model, debuted at last year’s I/O, but there’s a new video-generator in town this year. Gemini Omni Flash will be replacing Veo in products like the Gemini app, YouTube, and Flow. Google says Omni was designed to be truly multimodal, so it can accept any kind of input data and produce anything you want—images, text, video, or audio. However, it doesn’t do most of that right now. Google is starting with video, hence the swap with Veo.
While it’s similar to the new Gemini 3.5 models, Omni Flash is not explicitly part of that branch. This is something unique at Google, and it could represent a new direction for the company’s AI products. “The vision for Gemini has always been that it would be multimodal in, multimodal out,” Doshi said. “Omni is a step toward that vision.”
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