@pressed_juice_@PaulineHansonOz That’s dumb and has no benefit to Australia. My mums a PR from Canada and has lived, worked and paid taxes here for 35 years. She’s in the process of getting citizenship now, but there’s literally no advantage to doing so…
this OpenClaw bot finds $500k–$1.2M homes without pools, renders a pool into their backyard, and mails the owner a postcard showing the before/after, on autopilot...
here's how pool builders can close $50k+ deals with this system:
- scans satellite imagery for mid-market homes with empty backyards
- filters by lot size, sun exposure & recent ownership change
- pulls the homeowner direct from public records (not shared leads)
- renders a luxury pool dropped into their actual yard
- calculates build cost + home value lift for their specific zip
- generates a cinematic video of their backyard with the new pool
- prints a personalised postcard with the before/after + QR code
- drops it in the mail + hits them with retargeting
every step from sourcing to outreach is automated.
reply "POOL" + RT and i'll send you the full breakdown so you can build this too (must be following so i can DM)
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.
@Codex_India3 This was on a tram heading to an Indian musicians performance at commbank stadium; and the dj in the vid is a white man who makes viral videos like this, djing on the train and in public. It’s a short journey, on the way to an event, and they’re having fun. It’s not a big deal.