While tech companies and Trump have been pushing teachers to use AI in the classroom, many argue that there is little evidence that it would actually help children
In October, Kelly Clancy’s son received an assignment in sixth grade at a middle school in Brooklyn, New York, to create a science experiment and then ask Google Gemini, an artificial intelligence chatbot, for feedback, she said.
Clancy, who has three children in New York City public schools, told the teacher that the bot “is something that just teaches kids that they can have machines do the thinking for them”, instead of suggesting: “Let’s talk to your partners. What about the science experiment could you improve?”
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Fetch.ai's tutorial could boost developer engagement and innovation, potentially enhancing the platform's ecosystem and credibility.
The post Fetch.ai publishes tutorial for building a Google Gemini image generation agent appeared first on Crypto Briefing.
Apple’s executives have been taking questions, hosting seminars, seemingly working around the clock to stress one very important thing: Apple is not using a white label version of Google Gemini to make Siri AI happen. They just pooled resources to get there.
The new Siri AI is faster, more accurate, offers powerful contextual capabilities and shows how Apple has leap-frogged into a good peer position in an AI race critics felt it had already lost. Its market scale — even without the EU — is huge. For most consumers, Apple Intelligence and Siri will continue to be their primary/first engagement with artificial intelligence on a device.
Getting there took a lot of work, and Apple needed Google to get it done. Though there is still some confusion about what that means, Apple’s software chief tried to explain it this week. “We use none of the models that Google deploys to their customers, nor do we use the infrastructure and means by which they employ models to their customers,” Craig Fed
Apple will open the doors to developers at its Worldwide Developer Conference (WWDC) next week. Beyond a big push on AI and new OSes focused on stability and performance, what should developers expect? Mostly it’s about new APIs, Foundation Models, and App Intents; here’s what I’ve been able to figure out so far.
Foundation Models
Apple has been building new Apple Intelligence APIs. One way it is achieving this is to take models made with Google Gemini, then distill and shrink them to fit inside (and run on) its devices. The progression will be to introduce these as a new crop of Foundation models developers can use in their apps. There’s more:
New APIs mean developers will be able to run Apple Intelligence tools such as summarization directly on the customer device, all offline, all private.
Developers that use Apple’s standard text editing/entry views will gain access to improved Apple-developed tools inside their apps without custom-coding.
Because intelligence takes place on the us
Rendered illustrations published ahead of WWDC 2026 reveal a dedicated Siri app, Dynamic Island integration, and a Google Gemini backbone—the biggest overhaul to the assistant in nearly 15 years.
