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AMI Labs raised $1.03B at a $3.5B valuation to build world models, which is a different bet from another chatbot. A world model is supposed to hold a working picture of space: what is solid, what is occluded, what happens when you turn into a bay that was empty last month. @vangrid_io is how that picture gets sourced. Text will not teach a model the lip of a loading dock or the width of a stair. Satellite maps will not either, because they stop at the roof. The useful data is a current ground-level orbit of the actual site, and that data does not accumulate on the open web the way language did. Vangrid commissions it. A buyer funds a bounty for one named place, a person walks a slow orbit with a phone, faces and plates are blurred before the video leaves the handset, and the clip is fingerprinted then anchored on Base. The buyer can see that this observation existed in that window, which is what makes crowd footage usable for training instead of just more unverified video. The raise can pay for the model. It cannot invent the room. Vangrid is the network being sent into the room.
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$MNTD is the token the loyalty system on @PlayOnMint actually runs on. XP is the score before TGE. It tracks play and ranks the first allocation. After launch, that score gives way to a fixed 1 billion $MNTD supply. The token is what you stake to build MINT Status, and Status is what changes reward rates on the platform. So the token has a job. It is not a ticker sitting next to the casino. Stake it and the account moves up the Status ladder. Hold it and you stay in the rewards loop. Spend it only when you are choosing a Bear upgrade over a liquid bag. Keep this post on the asset itself: fixed supply, utility for Status, the switch from XP to $MNTD after TGE. Raffles, royalties, and extra Bears are separate captions.
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The hard part of post-quantum crypto is not naming a new signature. It is asking people to move funds to a new address on a new stack and hoping they actually do it. @Americanfort_io treats that as a product problem. QBIP-32 is their quantum-resistant key derivation across curves, used with NIST-standardised signatures, so a wallet can rotate the underlying crypto without making the user migrate to a new chain. ZKPoSP is published as IACR ePrint 2026/1508. That is a preprint. Do not call it peer-reviewed. This sits next to the live payment layer, not instead of it. Send-to-Name™ is live. You pay a FortressName. The wallet computes a fresh one-time address for that payment. Only sender and recipient can derive it. The name does not publish a fixed wallet, balance, or history. SafeSend™ is still in development, so do not write a walkthrough of that. AmericanFortress is privacy infrastructure, not a privacy coin and not an L1. The point of the post-quantum work is that the name and the payment path should survive a crypto upgrade without forcing everyone to start over. Private here still means the person you paid can see it came from you. Observers do not get a public mailbox attached to the name.
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Claim a free FortressName: names.americanfortress.io
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I downloaded the beldex official wallet today and the first thing that hit was how much of the stack actually lives in one app. Not just send and receive. Private BDX transfers sit next to BNS, so you can buy a .bdx name, map it to the wallet, point it at a BChat ID, renew it, or transfer ownership without leaving the same screen. Electron is the desktop path if you want masternode registration too, 10,000 BDX fixed stake, no CLI required. Keys stay on the device. Fees are small. The name you register here is the same one someone can use to pay you or find you in chat, which is why the wallet feels like the control panel and not a side app. Still clicking through BNS and a test send. Official download only. @BeldexCoin
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Got a story living in your head? Inkitt Movie Creator turns those characters, scenes, and plotlines into a cinematic vision you can actually see. @inkitt “Inkitt Movie Creator. Your vision, unleashed.” #InkittMovieCreator
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From written story to cinematic vision, Inkitt Movie Creator makes it easier to see your characters, scenes, and ideas come alive. @inkitt “Inkitt Movie Creator. Your vision, unleashed.” #InkittMovieCreator
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Crypto still treats a payment address like a public mailbox. You publish one string. Anyone who pays you reuses it. Explorers then attach a balance and a history to that string. Naming systems that resolve to one fixed wallet make that worse, because the readable name becomes a pointer to the same mailbox forever. @Americanfort_io is built around a different job. It is privacy infrastructure for crypto payments, not a new chain and not a privacy coin. Send-to-Name™ is live. SafeSend™ is still in development, so this is only about what you can use now. The live product is a FortressName. You send to an @name instead of pasting a long address. The wallet computes a fresh one-time address for that payment. Only the sender and the recipient can derive it, and only the recipient can spend it. Settlement still happens on the native chain. The name does not publicly expose a fixed wallet, a balance, or a payment history. That last part is the split people miss. The name can be public. The money path is not supposed to be a permanent lookup. It also cuts a real attack. Address poisoning works because people check the first and last characters of a copied string. A look-alike address with the same seven characters has already drained large sums. Sending to a name removes the copy-paste surface that attack needs. You are not matching hex. You are paying @name. One FortressName works across 13 integrated networks today. It ships as infrastructure meant to sit inside wallets people already use, not as another destination app you have to migrate into. Private here does not mean the other person cannot see who paid them. The recipient still knows the payment came from your name. Outside observers do not get a public index of your funds from the name itself. Claim a free FortressName if you want to test the live path: names.americanfortress.io @Americanfort_io
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OG FIGO 🚢 retweeted
Recently I posted about Managed Accounts, the mid-frequency strategy we’ve been running on QFEX for our team members and early VIPs. We’re now opening a waitlist to a wider audience. We run a systematic, market-neutral strategy trained with the latest AI foundation models. Our models look at momentum, volatility and relationships across markets to decide what to buy, what to short and how much to allocate to each position. The book is then balanced to target zero net exposure and zero equity market beta. Out-of-sample APY is 29.6% (net of fees), with a Sharpe ratio of 3.01. Your collateral stays in your own QFEX account, positions are visible in real time, and there’s no lock-up. The video explains more about how it works. If you’re already registered on QFEX, you can now join the waitlist. Link in the comments.
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Language models trained on almost everything written down. Robotics did not get that luxury, and Fei-Fei Li has been pointing at that mismatch for a while: text is abundant, while labelled, current views of real interiors are not. @vangrid_io is working the scarce side. A model can read about a warehouse all day and still miss the dock lip, the stair turn or the gap between racks as they look this week. Those surfaces change. They are also private, occluded and awkward for a mapping van, which is why they never piled up the way web text did. Vangrid pays someone to go and get the missing view. A buyer funds a bounty for one named site, a person on the ground films a slow orbit with a phone, faces and plates are blurred before the video leaves the handset, and the capture is fingerprinted then anchored on Base. The buyer can check that the observation existed in that window instead of hoping an old photo still matches the floor. That is the practical answer to the data gap she described. More parameters will not invent a room that was never filmed. A live, checkable capture of that room will. app.vangrid.io
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QFEX pre-points and already experimenting with systematic RWA strategies. The first test showed 29.6% annualized net returns, unleveraged, with a 3 Sharpe. Built by former HFT quants. Definitely worth watching early. @QFEX QFEX pre-points
Recently I posted about Managed Accounts, the mid-frequency strategy we’ve been running on QFEX for our team members and early VIPs. We’re now opening a waitlist to a wider audience. We run a systematic, market-neutral strategy trained with the latest AI foundation models. Our models look at momentum, volatility and relationships across markets to decide what to buy, what to short and how much to allocate to each position. The book is then balanced to target zero net exposure and zero equity market beta. Out-of-sample APY is 29.6% (net of fees), with a Sharpe ratio of 3.01. Your collateral stays in your own QFEX account, positions are visible in real time, and there’s no lock-up. The video explains more about how it works. If you’re already registered on QFEX, you can now join the waitlist. Link in the comments.
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One MintABear on @PlayOnMint is enough to cover the Status link. The extra Bears serve a different purpose. Status only reads one NFT after TGE, so holding a second, third, or fourth Bear does not stack that link. Where the extra Bears do matter is in raffle entries and royalty participation. More Bears in your wallet means more tickets in the open raffles and a larger share of the secondary royalty pool when sales happen. That makes “mint one” and “hold a few” two completely different strategies. If your only goal is attaching a Bear to Status later, one is enough. If you care about raffle entries and royalties, building a small set has a reason behind it because those mechanics count the number of Bears you hold, not just the profile picture you choose. There is another detail worth keeping straight: levels. A stack of Level 1 Bears is not the same thing as having one leveled Bear. The extra Bears can increase participation, but they do not replace the progression of the specific Bear you plan to link. Different Bears, different mechanics. Knowing what each one actually does is the part that matters.
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Opened the @BeldexCoin Explorer again after the refresh, and the chain is noticeably easier to read than it used to be. The refreshed UI brings node distribution onto a map instead of leaving it as a raw list, puts total transaction metrics in one place, and adds a dedicated Quorum section where you can actually see checkpoint and PoS signatures rather than simply taking the network on faith. That last part matters. Privacy on Beldex runs on masternodes, so the explorer is more than just a block viewer. It gives you a way to check whether the infrastructure behind the network is live, staked, distributed, and actively signing. Right now, the active set is sitting around 3,481 masternodes with a 10,000 BDX requirement, chain height is past 5.77M, transactions are around 5.97M, BNS records sit at 6,677, and more than 12M BDX has been burned. Having all of that alongside the network map and quorum signatures makes the explorer much more useful for actually understanding what is happening underneath the chain. Less digging through raw data, more signal in one place. Explore here: explorer.beldex.io/ @BeldexCoin
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NVIDIA spent GTC talking about a Physical AI Data Factory, which is fine until you ask where the inbound material comes from, because robots need the building as it stands, filmed from the ground. @vangrid_io is doing that inbound job. A blueprint can tell a lab how to train on spatial data, but it cannot invent a loading bay, a stair turn or a workshop aisle that nobody walked this week. Roofs and roads are already mapped, and interiors are the part that keeps going blank. Vangrid sends a phone into that blank. A buyer funds a bounty for one site, someone on the ground records a slow orbit, faces and plates come off the frames before the file leaves the handset, and the clip is fingerprinted then anchored on Base so the buyer can check when that observation existed instead of hoping an old scrape still matches the room. The model stack can look industrial. The geometry still has to be collected on site.
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Just made another $53 from @tuttihq in just one day 🔥 All I’ve been doing is commenting, liking, reposting and quoting. Pretty simple stuff. If you’re interested, you can register here and get started: tutti.so/join?ref=PHFUA7 Don’t miss out 👀
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OG FIGO 🚢 retweeted
🧌 GOLEMIANS MINT IS COMING. 4,444 Golemians. One collection. One chance to get in early. ⚔️ ⏰ MINT 3:30 PM UTC 💎 MINT PRICES 🥇 GTD -0.0015 ETH ⚡ FCFS - 0.0035 ETH 🌐 PUBLIC -0.0055 ETH GTD gets first strike. FCFS comes next. Then the gates open to everyone. 🔗 MINT HERE: opensea.io/collection/golemi…
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After TGE, one MintABear on @PlayOnMint can be linked to MINT Status. That is a separate action from minting and from holding a stack. The collection can sit in the wallet unused. The link is what ties a single Bear to the Status you build by staking $MNTD, and that link is what the platform uses to improve eligible reward rates. Only one Bear gets connected. Extra Bears can still help with raffle entries and royalty share, but the Status door reads a single NFT. So the decision is which Bear you attach, not how many pictures you line up on the profile. Timing matters too. The link comes after TGE, once Status exists as a live system. Before that, the work is still play, XP, and $MNTD. After that, one Bear becomes the NFT sitting on top of the rank you already staked into.
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Pulled BChat back up last night because someone I already know on it dropped settle.bdx again and needed a quiet settlement without hopping apps. We both already live on the same name layer, so there was no long ID to paste, no phone number in the mix, and no email trail sitting between us. Messages still ride the masternode hops the way they always have, stay encrypted end to end, and never sit on a company server waiting to be logged, which is why we keep coming back to it when the conversation actually matters. Payment stayed inside the same thread. BDX moved to the wallet tied to that .bdx name, and later I opened @BeldexCoin Browser with BelNet on to check the page they pointed me to without leaving the stack. One handle for chat, wallet, and the private site is the part that keeps winning, because the other person is already there and you do not have to convince them to install five different tools just to stay private.
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Pulled my @0xhazels creator card. ROGUE is tapped in. The GTD Race is still open tonight. 5,555 collection. Ownership tied to an Attention Layer and a free-mint launchpad for holders and stakers. Once overlooked. Now hard to miss. We’re Hazels. @0xhazels #WEAREHAZELS
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Jensen called Physical AI a ChatGPT-scale moment at CES 2026. But there’s a less glamorous problem underneath all that hype: robots still need to understand the real world as it actually exists. That means the stairs, loading docks, corridors, storefronts and everything in between. @vangrid_io is tackling that layer by turning ordinary phones into a distributed ground-level capture network. People can take on funded bounties, capture a location, blur faces and plates on-device, then create a verifiable fingerprint that gets anchored on Base. No satellite image can give a robot the same ground truth as a recent capture from inside the environment. The models may keep getting smarter and cheaper. But Physical AI still needs fresh, verifiable data from the places those models are supposed to operate. That part may not make the headlines, but it is what makes the bigger vision usable.
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