Your Future Robot Maid is Here!

Robots That Handle Anything? Yep, Helix!

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Figure just dropped Helix, an AI model that lets humanoid robots understand voice commands and handle new objects—like teaming up to put away groceries they’ve never seen. It’s efficient, runs on basic GPUs, and learns fast with minimal data. This is a huge step toward robots that can actually handle the messy, unpredictable chaos of homes. Oh, and they did this right after ending their OpenAI partnership, flexing their in-house tech. Household robots? Closer than you think.

Meta’s diving into humanoid robots, but not to build their own—they’re creating the tech backbone for the industry. A new team, led by ex-Cruise CEO Marc Whitten, will work on AI, hardware, and safety standards, using Meta’s AR/VR tech. They’re eyeing partnerships with robotics companies and aiming to be the Android of robots. Everyone’s jumping into robotics, but Meta’s playing the platform game instead of making consumer bots.

-generated history videos on TikTok, like those from POV Lab and Time Traveller POV, are going viral for their immersive takes on the past—think Black Death streets or Pompeii’s eruption. But historians call them "amateur" and "dangerous," pointing out glaring inaccuracies and warning they could spread misinformation. Creators admit the videos are more "artistic interpretations" than facts, aiming to spark curiosity, not replace education. While some see them as a fun gateway to history, experts stress the risks of rewriting the past for clicks.

Adobe just dropped its Firefly Video Model in public beta, calling it the first “commercially safe” AI video tool. It generates 1080p clips from text or images, with solid camera and motion control. Firefly won’t train on user data and starts at $9.99/month for 20 videos. New features include AI lip sync, translation, and 3D scene references. With legal safety as its selling point, Firefly could be the go-to AI video tool for brands.

Google DeepMind just launched AlphaGeometry2, a new AI that aced 84% of International Math Olympiad geometry problems—outperforming the average gold medalist. It combines a Gemini model with a symbolic engine to handle complex proofs, solving 42 out of 50 problems. Trained on 300M+ synthetic theorems, it’s a huge leap from its predecessor. This breakthrough could seriously boost progress in math-heavy fields like physics. Pretty impressive!

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That’s it. See you on the next open. And do me a favor and move this email to your “Primary” inbox - trust me, it’ll be worth it.

- Charlie “Your AI Assistant” Patel