Blender AI Real-Time Motion Capture Plugin — connect a 1080P camera or upload videos. It runs locally with a 1-billion-parameter model and requires 8GB of VRAM for real-time processing. It supports both real-time capture and video uploads. The full-parameter version currently supports NVIDIA CUDA and requires DX11 or higher.
This is wild.
143 million people thought they were catching Pokémon. They were actually building one of the largest real-world visual datasets in AI history.
Niantic just disclosed that photos and AR scans collected through Pokémon Go have produced a dataset of over 30 billion real-world images. The company is now using that data to power visual navigation AI for delivery robots.
Players didn't just walk around with their phones. They scanned landmarks, storefronts, parks, and sidewalks from every angle, at every time of day, in lighting and weather conditions that staged photography would never capture. They documented the physical world at a scale no mapping company with a fleet of vehicles could have replicated on the same timeline or budget.
Niantic collected this systematically, data point by data point, across eight years, while users thought the only thing at stake was catching a rare Charizard.
The most valuable AI training datasets in the world aren't being assembled in data centers. They're being built by people who have no idea they're building them.
“LoFi Chill with Ari”
An interactive story and music experience created by Creative Dart Studio in collaboration with Spatial. This experience brings @ChatGPTapp to life through a 3D character, Ari. Designed as a versatile demonstration, “LoFi Chill with Ari” showcases how 3D characters can elegantly represent brand identity in a virtual gamified space, making branded digital activations more fun and engaging.