🤖 AI Is Moving Into Your Files, Your Home, and Your Hands

This week’s updates aren’t experiments. They’re active, evolving, and already in the wild.

ChatGPT is reading your cloud files and recording your meetings. A humanoid robot is folding laundry in real homes. And Meta’s new model is giving machines a sense of physical intuition.

AI isn’t just getting smarter — it’s stepping into your workspace, your house, and how robots move through the world.

Here’s what matters right now 👇

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🧵 In today's edition:

1.  1.🔥 ChatGPT Moves In on Microsoft and Google’s Turf

2. 2.🧺 Robot Housekeepers Are Now on the Job

3. 🧠 Meta’s Teaching Robots to Think Before They Move

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1.🔥 ChatGPT Moves In on Microsoft and Google’s Turf

It can now read from your Google Drive, Dropbox, and OneDrive — like a personal AI librarian that actually understands your files.

There’s also a new record mode for meetings and brainstorms. It listens, takes notes with timestamps, and captures action items automatically.

But here’s the catch: it’s only available on Team, Enterprise, and Edu plans — for now.

With Microsoft and Google trying to own your workspace, this could be OpenAI’s quiet move to take it all.

This isn’t a nice-to-have. It’s an AI power grab.

2.🧺 Robot Housekeepers Are Now on the Job

1X just gave its humanoid robot a brain upgrade called Redwood, trained on real-world data to handle everyday tasks like laundry, voice commands, and even multitasking in motion.

It leans, balances, and moves like a human — not just walking or grabbing, but doing both at once.

This isn’t a concept. It’s already working in real homes.

NEO isn’t just a robot. It’s a hands-free household assistant in the making.

3. 🧠 Meta’s Teaching Robots to Think Before They Move

Meta just dropped V-JEPA 2, a new model that gives robots something like physical intuition — helping them predict how objects move and how to interact with them safely.

It’s not just smarter. It’s faster, more aware, and trained to think ahead before taking action.

They’re also releasing new benchmarks to help other researchers level up their own models.

Some say it’s a big step for robot safety. Others see it as a new kind of intelligence.

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