Root Phantom (✧ᴗ✧)

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Root Phantom (✧ᴗ✧)

Root Phantom (✧ᴗ✧)

@codendark

शामिल हुए Temmuz 2021
5.5K फ़ॉलोइंग2.2K फ़ॉलोवर्स
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Root Phantom (✧ᴗ✧)
Root Phantom (✧ᴗ✧)@codendark·
StandX’s Maker design is worth a closer look. It currently runs through two complementary incentive layers. Maker Points (foundation layer) Users earn Maker Points simply by placing limit orders that sit on the orderbook. If the order fills, those points automatically convert into Trading Points. This layer doesn’t require professional market making skills. The goal is straightforward: encourage genuine limit orders and improve orderbook liquidity, not reward pure volume. Maker Uptime Campaign (advanced layer) This is aimed at consistent, professional market makers. A 5M token monthly pool is distributed based on Maker Hours, not trades. Maker Hours are calculated with three strict criteria in mind: – Two sided quoting – Tight spreads near mid price – Continuous presence To qualify per hour: • Both bid and ask must stay within ±10 bps • Only up to 2 BTC per side is counted • The system samples multiple snapshots and uses the smaller side as effective size Stability is then evaluated using percentile metrics (X50 and X70), with Maker Hours derived from the more conservative outcome. Overall, StandX isn’t pushing “trade to earn.” It’s turning traditional market making metrics, uptime, depth, and quote quality, into transparent, onchain incentive rules. @StandX_Official #StandX #DUSD $STAND
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StandX@StandX_Official

x.com/i/article/2008…

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Root Phantom (✧ᴗ✧)
Root Phantom (✧ᴗ✧)@codendark·
Yupp hosts 900+ AI models and solves the “too many models” problem with two clear paths: 1\ Model Picker for fast, in-the-moment choices based on task, speed, and cost 2\ Leaderboard to see which models users actually prefer for specific jobs like text, search, coding, or SVG The focus isn’t quantity, it’s getting you to the right model quickly. The future isn’t memorizing model names, it’s routing intent to outcomes efficiently. @yupp_ai feels less like an AI playground and more like decision infrastructure, practical, cost-aware, and quietly powerful. That’s the kind of tooling that compounds over time.
Yupp@yupp_ai

Reasoning, image gen, open…with over 900 AIs available to prompt for free, it helps to have a guide to how we classify the models on Yupp! This Article dives into the details, so you can find the right models for your prompt – and explore our leaderboard with confidence.

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Root Phantom (✧ᴗ✧)
Root Phantom (✧ᴗ✧)@codendark·
Seeing @KAIO_xyz collaborate with Mubadala Capital feels like a strong signal. Sovereign-scale capital doesn’t rush. When they explore tokenized access to private markets, it’s about long-term infrastructure trust. With $200M+ already onchain, KAIO looks increasingly like a base layer institutions are comfortable building on. RWA adoption moves quietly, then all at once. This feels like one of those early steps.
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Andy the Jet 🐬TermMax
Andy the Jet 🐬TermMax@GpaAndy·
gm @openmind_agi fam instead of promising human-level general intelligence it focuses on workflows: cleaning, sorting, fetching, checking, moving small wins that actually stack up in the real world the modular design is underrated swap hardware, swap models, keep the same brain that kills vendor lock-in, which has slowed robotics for years what stands out is humility no “we solved robotics forever” vibe more like “here’s a base layer build whatever your world needs on top of it” people think disruption always looks flashy but real disruption often looks… boring standardization, documentation, repeatable results
OpenMind@openmind_agi

OpenMind kicked off the Future of Robots conversation on @BloombergTV. Founder @JanLiphardt discusses how software is shaping social & home robotics, and how our hardware-agnostic platform helps humanoid companies move faster.

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Edafejnrr
Edafejnrr@Edafeofweb3·
Gm CT Today is another day to try again. Today we preach @openmind_agi @openmind_agi is quietly becoming one of the key names in the conversation because it's focused on what matters most making real Robots work reliable in the real world 🌎
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DeFi Compass
DeFi Compass@DefiCompass·
My filter for RWAs is simple: Can they actually be used on-chain? @KAIO_xyz's answer is yes While staying fully compliant That’s why you see real strategies from names like BlackRock, Hamilton Lane, Laser Digital and Brevan Howard showing up $KAIO is building the standard serious capital expect
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DeFi Compass
DeFi Compass@DefiCompass·
$KAIO token is being set up to power the next stage of the @KAIO_xyz ecosystem Contribution and ecosystem strength are clearly the priority here Still pre-TGE, but this is the kind of signal I wouldn't ignore👀
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Fabius DeFi
Fabius DeFi@FabiusDefi·
KAIO rewards have been announced: 25M $KAIO (0.25% of total supply). With 7 periods running throughout 2026, I believe this is the setup for a long-term game. If you’re tracking @KAIO_xyz as a regulated RWA protocol, these are the key narratives/signals I’m watching: > TVL + Asset Value (real adoption), plus transfer volume and active addresses > Institutional partnerships (sticky capital) – beyond BlackRock, Brevan, HL… who are the new issuers/funds each quarter? > Multi-chain and interoperability – are new chains being added, and are cross-chain flows actually growing? > Compliance/regulation (RWA’s lifeline) – updates on KYC/AML engines, attestations, audits > Macro RWA trend – The RWA market is still expanding: private credit, treasuries, commodities… – But I wonder whether KAIO will win with regulated + composable + multi-chain, or get squeezed between larger incumbents? Community sentiment also matters. But the good news is: now with tools like Kaito, Cookie, Gomtu,... measuring mindshare growth isn't hard anymore. What’s your take on KAIO, and RWAs more broadly, heading into 2026?
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emre.ts
emre.ts@hcklemr·
What stands out in @KAIO_xyz’s tech stack is the modular tokenization engine. it handles diverse asset classes under a unified standard, effectively solving the fragmented liquidity issue. By enabling smart contracts to automate settlement without manual bridging, they've technically maximized operational efficiency.
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Arjen Maman | sand
Arjen Maman | sand@ArjenMaman·
Building digital trust, step by step. 🧠 Billion Network’s roadmap introduces a reputation system tracking trust and contributions over time—rewarding real engagement, empowering users, and unlocking new standards of onchain credibility. 💎🚀 @billions_ntwk
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Billy.BTC
Billy.BTC@BillyMcgrath24·
gn to everyone except folks still queuing for orbs. Non-biometric, progrqmmable ID is the meta; iris registries won’t age well @billions_ntwk + Miden turns identity into onchain conditions: prove adult, orove residency, prove uniqueness reveal nothing. Humans and AI agents both verifiable, smartphone-only, not hardware-gated. That’s how real apps gate, pay and govern without surveillance. acc
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cat.xyz
cat.xyz@ccatdrops·
No matter how many new AI models are released, Chat GPT still ranks first on @yupp_ai. That's what leadership is all about – three versions of the same model taking the top three spots. What is that if not success? My screenshot shows the AI model leaderboard from Yupp AI, which reflects people's real opinions about a particular model! I wonder, Chat GPT chat really become indispensable, or is it just a temporary phenomenon?
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Alex_Lab
Alex_Lab@Aliaksei_Lab·
a logical question: if there are so many strong models, how can it even be free? @yupp_ai has a point system called Yupp credits: you pay for using models, and credits are issued upon registration then the deal becomes clear: you leave feedback - which answer is best and why - and for quality feedback, credits are returned to you for continued use the trick is that feedback helps personalize future answers for you
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Semo
Semo@zksemo·
If you have me, you want to share me If you share me, you lose me What am I? I gave this riddle to a bunch of AI models on @yupp_ai 9 passed the test, one failed yupp.ai/share/368ec6e9… I learned that a small fun riddle is enough to separate real thinking from lucky guessing, and that shows us how different AI models can look the same until you give them something tricky and simple at the same time. every model has its own way to solve it, some just give the answer, while others explain their reasons and how they got there. MiniMax M2.1 ✅️ GPT-5.1 ✅️ Gemini 3 Flash ✅️ Mistral Small Creative ✅️ Seed 1.8 ✅️ DeepSeek-R1 ✅️ Grok 4.1 ✅️ Llama 3.1 8B ✅️ Phi 4 Mini Instruct ❌️ Cogito v2.1 ✅️
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