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Back-to-school shopping usually means notebooks, laptops, and maybe a new backpack.

This year, Google decided to add something else to the list: a year of AI. And that says a lot about how quickly these tools are becoming part of everyday life.

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

— Fei-Fei Li

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What happens when AI agents stop answering familiar benchmark questions and get thrown into a completely new pile of documents? Databricks put 11 academic teams through exactly that test using roughly 120,000 pages of U.S. Treasury documents. Stanford came out on top with 63.3% accuracy, but nearly 1 in 5 questions stumped everyone.

Stripe's interest in OpenRouter isn't only about adding another AI company to its portfolio. The move points toward a bigger bet on the infrastructure layer sitting underneath the AI boom, where developers can access and route requests across different models without locking themselves into one provider.

Amazon is making Alexa more accessible on Fire TV, removing the need for a Prime subscription to use its AI-powered experience. That puts a conversational AI assistant directly in front of millions of TV viewers and gives Amazon another place to turn the living room into an AI interface.

AI drug discovery has a frustrating problem: models need better biological data to make better medicines. Vivodyne says it has built a system designed to generate that missing data by testing potential drugs on lab-grown human tissues, betting that better experimental evidence could make AI-designed cancer treatments more useful in the real world.

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Back-to-school season just got a little more interesting. Google is giving eligible college students one year of Gemini at no cost, with U.S. students getting Google AI Pro and students in 140+ countries getting Google AI Plus.

The offer also comes with new study features built around class materials, study notebooks, flashcards, quizzes, and interactive learning.

Anthropic says Claude can take on protein-binder design, a key step in early drug research that has traditionally taken specialists weeks or months per target. In its latest experiment, Claude designed binders for 14 of 15 targets, producing 354 successful binders from 1,320 designs.

The bigger story isn't simply that Claude can design proteins. It’s that AI is starting to compress parts of biological research that once required long, specialized workflows into much shorter cycles.

Thank you for reading!

We hope these AI insights help you start the week strong. Don’t forget to share what you’ve learned with friends, family, and colleagues. 📚✨

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See you soon!

— Team AIChief