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Passage 12: Episode 2 🚀 🔥
Check out the 2nd Episode of our AI TV Show!
This episode took only 2 people (One for Sound & one for Visuals) and 2 weeks to create.
All of the generations were made with Veo 2 only.
Check out this drone:
Joshua Bird built this drone ($20) in his dorm!
[open-source motion capture system⬇️]
Built at low cost, a motion capture system for tracking & and flying drones autonomously, with millimeter-level precision at room-scale.
The student used $1 PS3 Eye cameras with 150fps capability.
The challenge?
PID tuning! It took him 4 days of crashes to get the drone to hover, but it's still wobbly.
Used a 3x nested PID loop for precise control.
This project led to his dissertation on visual SLAM!
Full details - Algorithms for camera positioning & obstacle triangulation, in his YouTube video: https://t.co/SqrleHaxNX
Code & 3D files on GitHub: https://t.co/90W456CvP4
More projects at https://t.co/OZuxcF4VUM
Diffraction through a single slit:
As we narrow the slit, diffraction dominates, spreading light out, revealing its wave-like nature.
Widen the slit, and the beam straightens up, its width starts to mirror the slit, just as expected.
#physics#optics#fourieroptics#light #photonics #python
Teaching robots real dexterity has always been a challenge. But what if they could handle tools like a human?
DexterityGen (DexGen) is a new system that helps robots use their hands better.
It improves how they grip, move, and handle objects… from holding a pen to using a screwdriver. DexGen learns in simulation and refines its skills in the real world, making robotic hands much more useful.
What makes DexGen special?
✅ Smarter movements that refine rough actions into precise skills
✅ Trained on a massive collection of dexterous tasks for better learning
✅ Better teleoperation that makes robotic hand control easier and safer
✅ Handles real-world challenges like small objects, tricky angles, and gravity
This moves robots closer to real dexterity.
It makes tool use more natural, improves stability, and brings robotic hands one step closer to human-level skill.
Seen at @zhaohengyin 🫶
Github: https://t.co/mQTnIkYnLG
Paper: https://t.co/DJhyO92ILR
China is on 🔥 ByteDance drops another banger AI paper on AI video!
- Goku : Flow-based video generative foundation model.
- Goku+ : Video ads foundation model - 100x lower cost than traditional ads methods.
These are insanely good!
Here are 10 incredible examples and the research paper link 👇
It's only been just over a week since OpenAI dropped o3-mini.
And people are already doing crazy things with it!
10 wild examples:
1. Create visually stunning demo of the Big Bang Theory in three.js