@abigoabi I'd use the Back Display for framing ultra-high-definition vlogs and monitoring live audio levels using the primary flagship camera sensor! It eliminates the need for external monitors or clunky mirror rigs, making solo cinematic storytelling faster, sharper, #Xiaomi18ProSeries
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@abigoabi I'd use the Back Display for framing ultra-high-definition vlogs and monitoring live audio levels using the primary flagship camera sensor! It eliminates the need for external monitors or clunky mirror rigs, making solo cinematic storytelling faster, sharper, #Xiaomi18ProSeries
How to enter:
1. Follow + Repost this post
2. Reply with your answer
3. Include #Xiaomi18ProSeries in your reply
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GIVEAWAY 1/5 ๐ Win a Xiaomi 18 Pro!
After all the excitement yesterday, there's only one way to kick this off. We're starting with THE phone!
The Back Display is full of possibilities, from notifications to everyday essentials.
Now your turn: "I'd use the Back Display for ______."
Repost + reply with your answer! Donโt miss the full entry rules in my first reply.
Billions of robots, drones, and autonomous vehicles are coming.
They all need to know exactly where they are โ down to the centimeter.
That's what GEODNET was built for. The rails for physical AI. ๐ค๐ก
Full debate โ link in first comment
Mike talks unglamorous physical AI and what comes after.
Don't miss this interview with GEODNET Project Creator @mikeahorton, dropping Thursday at 2pm UTC.
Tune in: @DePINConnection ๐
The next AI revolution is not just happening on screens. It is happening in the physical world.
Robots, drones, autonomous vehicles, and smart machines all need one thing before they can operate safely: Precise location.
Traditional GPS can be off by several meters. For humans, that may be fine. For autonomous machines, it can be dangerous.
GEODNET is building the spatial intelligence layer for Physical AI, using RTK positioning to improve accuracy from meters to within one centimeter.
Over 20,000 base stations.
170+ countries.
11,000+ cities.
130+ enterprise customers.
Physical AI needs real-world infrastructure.
That infrastructure is being built now.
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