Just Another Girl Obsessed With The Internet 💅 Crypto | NFTs | AI
my world
Joined May 2023
- Tweets273K
- Following16.5K
- Followers25.8K
- Likes307K
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good morning 🩷
@vangrid_io turns a specific real place into ordered 3D geometry when a nearby phone captures it.
The edge node blurs faces and plates on the device first so only clean frames proceed. A fingerprint then locks the content hash together with coarse location and timestamp. Those fingerprints batch into a Merkle tree that anchors on Base through EAS attestations.
Reconstruction builds point clouds and Gaussian splats that show the full scene from multiple views. Later anyone can check the origin with inclusion proofs without needing a central store.
This gives Physical AI and robotics fresh location-specific spatial data that stays traceable from the phone all the way to the final model.
@vangrid_io makes targeted real-world captures both private and independently confirmable.
gm gm frens 🩷
@vangrid_io ties every phone capture to a clear technical identity so the grid can trace exactly which edge node created the data.
The device blurs faces and plates first, then builds a fingerprint that mixes the content hash with coarse location and timestamp. These fingerprints go into Merkle batches whose roots become EAS attestations on Base.
The resulting point clouds and Gaussian splats carry that origin information all the way through.
Anyone can later check the inclusion proofs and see the path from phone to final 3D model. This setup keeps the spatial data ordered and independently confirmable without relying on a single central record.
@vangrid_io makes the source of each real-world observation part of the verifiable geometry itself for Physical AI.
Two platforms can offer the exact same betting market, yet the potential returns may be completely different.
That’s why comparing odds before placing a bet matters.
I looked at the Knicks moneyline using the same $100 stake across two platforms, and @dopex offered a higher potential payout for the same selection.
The interesting part is that the prediction itself didn’t change.
Same team. Same market. Same amount wagered.
Only the odds were different.
This is an important detail many bettors can overlook. Focusing only on who is likely to win isn’t enough; the price attached to that prediction also matters.
A better price can mean a higher potential return if the selection wins, although it never removes the risk of losing the stake.
That’s why I think @dopex deserves attention when comparing betting markets.
Don’t just compare the picks. Compare what each platform is offering for the same outcome.
A few seconds spent checking the odds can make a real difference to your potential payout.
Always bet responsibly.
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BUILD YOUR FUTURE AGENDA 2.0: 1,008 FOREST GUARDS GRADUATE IN KATSINA
Strengthening Security. Protecting Communities. Supporting Rural Livelihoods.
Governor Malam Dikko Umaru Radda is presiding over the graduation of 1,008 National Forest Guards under President Bola Ahmed Tinubu’s Presidential Forest Guard Initiative at People’s Square, Katsina.
The newly trained personnel are expected to complement existing security agencies in tackling banditry, terrorism, kidnapping and criminal activities, particularly in forests and vulnerable rural communities.
WHAT THIS MEANS FOR THE PEOPLE: Stronger forest security is intended to help farmers return safely to their fields, protect rural communities, restore economic activities and improve confidence in community safety.
THE CALL TO ACTION: Residents are encouraged to cooperate with authorised security personnel, report suspicious activities through official channels and support lawful efforts to protect their communities.
SECURING OUR FORESTS. PROTECTING OUR PEOPLE. RESTORING LIVELIHOODS.
#BuildingKatsinaBeyond2027 #BuildingYourFutureAgenda #Arewa4Asiwaju
gm gm frens 🩷
@vangrid_io ties every phone capture to a clear technical identity so the grid can trace exactly which edge node created the data.
The device blurs faces and plates first, then builds a fingerprint that mixes the content hash with coarse location and timestamp. These fingerprints go into Merkle batches whose roots become EAS attestations on Base.
The resulting point clouds and Gaussian splats carry that origin information all the way through.
Anyone can later check the inclusion proofs and see the path from phone to final 3D model. This setup keeps the spatial data ordered and independently confirmable without relying on a single central record.
@vangrid_io makes the source of each real-world observation part of the verifiable geometry itself for Physical AI.
Good morning fam 🩷
@vangrid_io keeps every face and plate off the network by finishing the blur step right on the phone.
The edge node runs this filter first so the video encodes only after sensitive parts are gone. Unblurred frames stay on the device and never upload or get stored. The cleaned capture then builds its fingerprint using the content hash plus coarse location and timestamp.
Those fingerprints form Merkle batches that anchor as EAS attestations on Base.
Reconstruction turns the result into point clouds and Gaussian splats of the streets and buildings alone. Anyone can later verify origin with inclusion proofs without seeing people.
This privacy layer sits at the start of Vangrid’s pipeline so Physical AI receives ordered ground truth that never includes human details.
@vangrid_io
$2,000 on Giants ML = $3,560 on @dopexyz vs $3,400 on DK. that’s $160 for doing nothing
Dope just upgraded their sports odds, best lines I’ve seen in crypto
🚨 BETTER ODDS. BIGGER PAYOUTS.
Dope just upgraded every sports line on the site. Permanently.
Tonight’s proof: Giants ML is sitting at 1.78 on Dope, compared to 1.70 on DraftKings and 1.72 on Stake.
Same $2,000 bet. Up to $160 more.
The best odds in crypto now live at dope.xyz
BUILD YOUR FUTURE AGENDA 2.0: EMPOWERING 62,000+ BUSINESSES ACROSS KATSINA
62,000+ Businesses | 2,000 Kiosks | ₦3.5BN+ Financing | 5,373 Jobs Facilitated
Governor Malam Dikko Umaru Radda is expanding grassroots economic opportunities through a major KASEDA empowerment initiative targeting over 62,000 nano, micro and small businesses across Katsina's 34 LGAs.
The programme offers grants of ₦50,000, ₦100,000 and ₦150,000, alongside 2,000 purpose-built kiosks for vulcanisers and customised business signages.
Building on earlier interventions, the administration reports over ₦3.5 billion in non-interest financing disbursed to 6,000+ MSMEs, 5,373 jobs facilitated and 10,000+ businesses formalised in 2025.
WHAT THIS MEANS FOR THE PEOPLE: More working capital for traders, improved facilities for artisans, stronger small businesses and opportunities for sustainable livelihoods.
#BuildingKatsinaBeyond2027 #BuildingYourFutureAgenda #GovernorRadda
Good morning fam 🩷
@vangrid_io keeps every face and plate off the network by finishing the blur step right on the phone.
The edge node runs this filter first so the video encodes only after sensitive parts are gone. Unblurred frames stay on the device and never upload or get stored. The cleaned capture then builds its fingerprint using the content hash plus coarse location and timestamp.
Those fingerprints form Merkle batches that anchor as EAS attestations on Base.
Reconstruction turns the result into point clouds and Gaussian splats of the streets and buildings alone. Anyone can later verify origin with inclusion proofs without seeing people.
This privacy layer sits at the start of Vangrid’s pipeline so Physical AI receives ordered ground truth that never includes human details.
@vangrid_io
good morning legends🩷
@vangrid_io blurs every face and number plate on the phone itself before any encoding starts.
The edge node finishes this privacy step first so unblurred frames never leave, upload or store anywhere. Only the cleaned capture then builds its fingerprint from the content hash, coarse location and timestamp.
Those fingerprints batch into a Merkle tree that anchors as an EAS attestation on Base. The final output rebuilds as point clouds and Gaussian splats of the physical scene alone.
Later checks use inclusion proofs to confirm origin without needing the original frames. This design keeps personal details off the grid from the first moment.
@vangrid_io delivers fresh ordered ground truth for Physical AI that stays private by construction at the edge.
This is how real ecosystem growth happens.
Testing, educating the community, and working directly with developers all play an important role in bringing these features closer to Mainnet.
Love seeing the community being encouraged to learn, contribute, and build alongside the ecosystem.
Looking forward to what comes next!
We’re actively testing the Lending Protocol and Single Asset Vaults, building infrastructure around them, and sharing feedback with XRPL developers. Our validator has also voted in favor of both the LendingProtocol and SingleAssetVault amendments.
But our efforts alone aren’t enough to bring these features to Mainnet. Broader validator consensus is needed, and the community has an important role to play.
For native lending to be enabled on XRPL Mainnet, each amendment must maintain over 80% support from trusted validators for two consecutive weeks.
That’s why community education and involvement matter. Greater understanding and hands-on testing can help identify issues, improve the protocol, and support informed decisions by validators.
Building on @XRPLF’s educational initiative, we’re preparing our own $10,000 rewards pool in XRP for creators producing educational content about lending technology and infrastructure on XRPL.
More details soon. Let’s build this together!
Inayerh retweeted
We’re actively testing the Lending Protocol and Single Asset Vaults, building infrastructure around them, and sharing feedback with XRPL developers. Our validator has also voted in favor of both the LendingProtocol and SingleAssetVault amendments.
But our efforts alone aren’t enough to bring these features to Mainnet. Broader validator consensus is needed, and the community has an important role to play.
For native lending to be enabled on XRPL Mainnet, each amendment must maintain over 80% support from trusted validators for two consecutive weeks.
That’s why community education and involvement matter. Greater understanding and hands-on testing can help identify issues, improve the protocol, and support informed decisions by validators.
Building on @XRPLF’s educational initiative, we’re preparing our own $10,000 rewards pool in XRP for creators producing educational content about lending technology and infrastructure on XRPL.
More details soon. Let’s build this together!
Launching the @XRP Ledger Education Month.
Up to $40,000 in awards for educators and content creators who explain upcoming amendments like the Lending Protocol, or teach how the XRP Ledger works, the role of XRP and the core protocol philosophies.
Inayerh retweeted
good morning legends🩷
@vangrid_io blurs every face and number plate on the phone itself before any encoding starts.
The edge node finishes this privacy step first so unblurred frames never leave, upload or store anywhere. Only the cleaned capture then builds its fingerprint from the content hash, coarse location and timestamp.
Those fingerprints batch into a Merkle tree that anchors as an EAS attestation on Base. The final output rebuilds as point clouds and Gaussian splats of the physical scene alone.
Later checks use inclusion proofs to confirm origin without needing the original frames. This design keeps personal details off the grid from the first moment.
@vangrid_io delivers fresh ordered ground truth for Physical AI that stays private by construction at the edge.
gm gm fam 🩷
@vangrid_io scales verifiable ground truth by treating every phone as an edge node that feeds the same pipeline.
On-device blurring keeps faces and plates private before the capture builds a fingerprint from its content hash, location and timestamp.
Those fingerprints group into Merkle trees whose roots anchor as EAS attestations on Base. The resulting geometry rebuilds as point clouds and Gaussian splats that later checks can confirm with inclusion proofs.
This design lets large volumes of captures stay ordered, traceable and independent of any single store. Physical AI and robotics then pull fresh multi-view spatial data that remains checkable from the edge all the way to the final 3D model.
@vangrid_io makes the growth of real-world data both continuous and technically trustworthy.
KATSINA REPORTS OVER 30MW OF RENEWABLE-ENERGY CAPACITY, TARGETS 70MW BY 2031
Governor Malam Dikko Umaru Radda has announced that Katsina State has deployed more than 30 megawatts (MW) of renewable-energy capacity, representing over 42% of its 70MW target for 2031.
Speaking at the 2026 Climate Action and Green Investment Summit, the Governor also highlighted approximately 85 kilometres of solar street lighting, backed by a reported investment exceeding ₦7.6 billion.
The administration has unveiled a new Climate Change Policy to guide clean-energy investment, environmental protection and climate-resilient development.
THE CALL TO ACTION: Residents, businesses and communities should support renewable-energy initiatives, protect installed infrastructure and encourage transparent reporting on project performance.
The next milestone is ensuring that deployed capacity translates into reliable electricity and measurable benefits for Katsina’s communities.
#BuildingKatsinaBeyond2027 #BuildingYourFutureAgenda #GovernorRadda
good morning legends🩷
@vangrid_io blurs every face and number plate on the phone itself before any encoding starts.
The edge node finishes this privacy step first so unblurred frames never leave, upload or store anywhere. Only the cleaned capture then builds its fingerprint from the content hash, coarse location and timestamp.
Those fingerprints batch into a Merkle tree that anchors as an EAS attestation on Base. The final output rebuilds as point clouds and Gaussian splats of the physical scene alone.
Later checks use inclusion proofs to confirm origin without needing the original frames. This design keeps personal details off the grid from the first moment.
@vangrid_io delivers fresh ordered ground truth for Physical AI that stays private by construction at the edge.
gm gm fam 🩷
@vangrid_io scales verifiable ground truth by treating every phone as an edge node that feeds the same pipeline.
On-device blurring keeps faces and plates private before the capture builds a fingerprint from its content hash, location and timestamp.
Those fingerprints group into Merkle trees whose roots anchor as EAS attestations on Base. The resulting geometry rebuilds as point clouds and Gaussian splats that later checks can confirm with inclusion proofs.
This design lets large volumes of captures stay ordered, traceable and independent of any single store. Physical AI and robotics then pull fresh multi-view spatial data that remains checkable from the edge all the way to the final 3D model.
@vangrid_io makes the growth of real-world data both continuous and technically trustworthy.
