No buybacks. No artificial short-term moves.
AMA #5 points to a real token model built around staking, proof fees, burns, and validator participation.
🔗 https://t.co/tTO0Lnyy2g
#Unibright#UBT#ProofOfExecution#TokenUtility
Tunesat is adopting the Proof of Execution platform as a B2B solution to manage its clients.
AMA #5 shows the platform in real-world use. Watch it here: https://t.co/tTO0Lnyy2g
#Unibright#ProofOfExecution#Tunesat#AMA#B2B
"Tokenized deposits give banks the path forward of the least resistance to compete onchain."
@TziokasV explains, at the @NYSE@FINTECHTVglobal show, how tokenized deposits can enable banks to stay relevant in the new digital assets economy while guarding their turf.
"Our thesis is that managing a blockchain will soon be as easy as managing a website. Every Institution will have a blockchain."
@TziokasV spoke with @CNBC about Institutions launching their own crypto rails to position in the new digital assets economy.
AI music copyright set to grow. Tunesat anticipates it and incorporates Unibright's Proof of Execution to tackle the issue.
Full AMA: https://t.co/cIDjWuIIWE
#Unibright#AIMusic#Web3#Tunesat
Fresh perspectives matter.
Non-blockchain voices help keep systems clear, usable, and built for real clients.
👀 Full discussion: https://t.co/cIDjWuIIWE
#Unibright#EnterpriseBlockchain#DigitalTrust#Web3
Proof of execution is more than a record on-chain. It needs context, access control, and a way to work across real roles and real compliance requirements.
Watch the full conversation here: https://t.co/cIDjWuIIWE
#Unibright#ProofOfExecution#EnterpriseBlockchain#Web3
The best enterprise blockchain systems are the ones end users never need to think about.
What matters is the front end, the workflow, and the proof underneath.
🔗 Read the AMA #4 recap: https://t.co/8B3wO1teXK
#Unibright#EnterpriseBlockchain#DigitalTrust#Web3
Please welcome Martin Berger, Co-Founder and Managing Director of Tunesat, to the Unibright community.
Glad to have him join us as we continue exploring practical blockchain use cases.
🔗 Full discussion: https://t.co/cIDjWuIIWE
#Unibright#DigitalRights#Web3#Tunesat
do you understand what just happened to your computer..
Google Chrome secretly downloaded a 4GB AI model onto your device. Without asking.. Without telling you..
It's called weights.bin. It lives deep in your system folders. It powers Gemini Nano - Google's on-device AI.
And if you delete it? Chrome re-downloads it automatically. Like nothing happened.
Just Google deciding your hard drive is their storage unit.
At 1 billion Chrome users - that's 4 BILLION gigabytes of data pushed silently across the internet.
The carbon footprint alone equals tens of thousands of cars running for a year.
Check your disk right now:
📁 %LOCALAPPDATA%\Google\Chrome\User Data\OptGuideOnDeviceModel
To stop it: chrome://flags → disable Optimization Guide On Device Model → restart Chrome → delete the folder.
Reshare so people know what's sitting on their computers.
Harvard scientists ran a simple test. They put adults under blue light for 6 hours one night, then under green light at the same brightness the next. Blue light pushed their bedtimes back by 3 hours. Green pushed them back by 1.5. And in kids, the same lights hit about twice as hard.
The reason comes down to a tiny patch of cells at the back of every human eye. These cells have one job. They tell your brain whether it is day or night. They wake up most when light hits a very specific shade of blue, the same shade phone screens and modern bulbs are loaded with. When those cells fire after dark, the brain stops making melatonin, the chemical that pulls you toward sleep.
Red light barely sets off those cells at all. A 2025 study from the University of Zaragoza put people under red lamps and blue lamps for three hours at night. Under blue, their melatonin stayed scraped to the floor. Under red, it climbed back up to more than three times higher. Same brightness. The color did all the work.
Children get this worse than adults. Two reasons. Their pupils are bigger, so more light gets in. And the lens inside a kid's eye is still glass-clear, where adult lenses slowly yellow with age and filter blue out naturally. A 10-year-old's body clock is roughly twice as sensitive to evening light as a 45-year-old's. A bedside lamp that feels harmless to a parent can be wrecking a kid's sleep clock at the same time.
Then there is the lag. Once the brain catches a dose of blue light, the wake-up signal it sends out keeps echoing for 3 to 4 hours after the lights go off. So a kid on an iPad at 9pm can still be wired at midnight even if you took the iPad away at 9:01.
Modern LED bulbs and screens are tuned to roughly 6500 Kelvin. That is sunlight at noon. Old incandescent bulbs sit around 2700, mostly red and yellow with almost nothing in the blue range. To a human eye, a red-lit room is just about as close to no light at all as you can get. The brain reads it as nighttime.
The fix is boring. Use warm bulbs at 2700 Kelvin or lower in any room a kid spends evenings in, switch off phones and tablets two hours before bed, and if a night light is needed for bathroom trips, make it red or amber. The science was pinned down to the exact color of light back in 2001.