Iran scores a goal in a World Cup match in LA. The stadium is full of Iranian fans. Imagine the Iran fan experience. You can’t even protest your own government in Iran yet the “great satan” country you’re at war with lets people cheer for your team freely.
ExxonMobil and Chevron have defied calls from the White House to increase oil production, resisting pressure from an administration that is struggling to end the biggest energy crisis in decades, per FT
E&P is running a new drill program and wants to analyze completions designs and lateral lengths
But Enverus and public data only provide top/bottom perfs, TVD and MD.
Collide pulled all of the completions and frac reports from the regulatory commission, then extracts all of the perf data.
Then with collide mapping, those wellbores are visualized with all of the perfs shown, and you can sit there and talk with the map and data using natural language and get answers in two seconds.
We are very close to being able to ask "how do I drill the best well in this section" and getting a full drilling and completions program from Collide's agents.
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.