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We used to tell kids to put their phones away during class. Now New York City is telling some students to put AI away too.

That sounds extreme until you realize what’s behind the decision, and it raises a bigger question: are we teaching kids to use AI, or teaching AI to do the thinking for them?

Here's what else happened in AI while you were busy.

— Nick Bostrom

Slow billing doesn't just create friction — it delays cash and compounds across every deal you close.Slow billing doesn't just create friction — it delays cash and compounds across every deal you close.

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Google is changing how Gemini Notebook handles usage limits. Instead of fixed daily limits, usage will now depend on how much compute your tasks require, with limits refreshing every 5 hours rather than once a day.

The good part: if you hit your limit while generating something heavy like a Video Overview or Slide Deck, you can now defer the generation and let Notebook create it later automatically.

Google’s latest Gemini Flash model is designed to spend more compute on difficult tasks, pushing for stronger reasoning and better results. The tradeoff is simple: more thinking can mean a higher bill.

MrBeast is teaming up with Google on projects around AI and health technology, bringing one of YouTube’s biggest creators into Google’s push to make emerging tech more visible to a massive mainstream audience.

New York City is putting a one-year moratorium on student-facing generative AI for students from 2-K through 8th grade, affecting nearly 600,000 public-school students.

High schoolers will still get AI-literacy lessons and limited access to vetted tools. The goal: protect critical thinking while figuring out where AI actually belongs in the classroom.

You might think the little details of your life are scattered across the internet. But AI can now pull many of those pieces together surprisingly fast.

In demos shown to lawmakers, CivAI used data-broker records, breach data, web searches, and location information to build detailed profiles of ordinary people, surfacing things like their routines, interests, social connections, shopping habits, and places they visit.

The demos got both Democrats and Republicans worried about how easily AI could amplify surveillance. And the unsettling part is that AI doesn't need to know everything about you, it just needs enough scattered data to start connecting the dots.

Meta’s Muse Spark 1.3 just made a surprisingly strong move up the AI leaderboard. The available xhigh version scored 61, matching GPT-5.6 Sol, while an unreleased Max reasoning version hit 62, edging past Fable 5 on the Artificial Analysis Intelligence Index.

And that’s what makes this interesting: Meta isn’t just catching up, its next version may already be ahead. The Max result is still from an unreleased version, but the numbers suggest Meta has a serious contender on its hands.

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— Team AIChief