RT @DGod4Life: The funniest thing about this video is Ars saying to Cass. What the f*ck are u rapping about bro? 😂 🤣 Even Mr. Disrespectful…
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aggkader retweeted
Bithumb (@BithumbOfficial), South Korea’s major crypto exchange, opens sign-ups today for the 2026 Our Together Run, a Seoul charity race for vulnerable children. Nov 15, Yeouido Hangang Park. 5km & 10km, ₩50,000. Until Oct 21: bithumbnanumrun.com #Bithumb #CharityRun
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RT @DGod4Life: Arsonal just about had enough of these dot mob n!ggas in battlerap. Since he couldn't get Mook, Rex, or Shine outta here, he…
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We’re Proud to Announce Our Partnership with @zkArgoseth ! 🔥 🎁 15x GDT & 20 FCFS WL for Grabs! Join the Giveaway: 👉 Follow: @zkArgoseth & @BOSs_NFT__ 👉 Like + RT 👉 Comment Or Address Submit ⏳ Ends in 24 Hours — Don’t Miss Out! #eth #Freemint #NFTCollection
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aggkader retweeted
The best football predictions aren't always about picking the winner. Sometimes it's: “this team is going to collapse after 60 minutes.” “he's getting booked.” “there's another goal coming.” That’s the fun part of football. And that's exactly what we like to explore at GuessFC. guessfc.app #football #footballpredictions
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aggkader retweeted
As AI becomes more autonomous, trust needs more than explanations. @Actum_system turns real-world human actions into verifiable evidence through PoHA, creating a reliable record of what happened, when, and by whom. Evidence over claims. #Actum #POHA #IndustrialDePIN
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aggkader retweeted
AI accountability starts with one question What actually happened? As AI becomes more autonomous, it is no longer just generating text or answering questions. AI agents can browse the web, access systems, write and execute code, interact with software, and make decisions that lead to real-world actions. That changes what we need from AI. It is not enough to ask Why did the AI do this? We also need to know: What triggered the action? What did the system actually do? What happened along the way? And can we verify the history afterward? Because an AI generated claim is not the same thing as evidence. For autonomous systems to be trusted, their actions need a trail that can be examined and verified. That is the direction @Actum_system is exploring turning real actions into evidence that can support accountability in an increasingly autonomous AI world. #actum
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aggkader retweeted
Good morning, everyone. It is human nature that if one claims a task is done without actually performing it, that claim can eventually start to feel like the truth. However, in the world of technology, this very tendency can become a major pitfall. In industrial operations, a task was often simply accepted as complete the moment it was declared so; there was no way for us to verify whether it had actually been finished. @Actum_system aims to change this paradigm. Their goal is to ensure that claims do not stand merely on the strength of words; instead, every claim should be backed by an independent, verifiable record, detailing where and when the event took place and exactly what occurred. Once a culture of verification is established, the distinction between a mere claim and actual proof becomes clear. This was a crucial need in the industrial sector. #ACTUM
Good morning, everyone. Until now, discussions regarding AI safety have largely been confined to what a model can or cannot say, whether it is providing incorrect information or saying something harmful. But AI is no longer just speaking. It is browsing the internet, accessing systems, writing code, operating machinery, and making decisions on its own. An incorrect answer can be corrected. However, a wrong action has real-world consequences, it can halt machinery, alter systems, and trigger the outcomes of those decisions. Therefore, when AI performs an action, the question is no longer just Why did it do that? New questions arise: What actually happened? What triggered this action? Who is ultimately responsible? As AI shifts from merely providing answers to actively performing tasks, the history of its actions becomes more significant than its raw intelligence. This is because if even a smart decision cannot be traced, it effectively becomes a black box. And the more autonomously AI operates, the more crucial it becomes to know exactly what happened in the real world, and at precisely what moment. This is where the importance of a verification layer like @Actum_system becomes evident; no matter how complex an AI's decision may be, if the underlying reality cannot be verified, the answer to Why did it do that? will never be fully credible. #ACTUM
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KieDex is KieDex. 🔥 No need for comparisons. KieDex has its own vision, its own direction, and its own journey. After months of testing, grinding, building, and supporting the community, we’re now getting closer to the next big chapter. The current TGE expectation is by the end of this month or early next month. We’ve come this far together. Now it’s about staying patient, staying focused, and letting the team deliver. The journey is just getting started. $KDX 👉 kiedex.app
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Retium is hitting a major testnet milestone 🧡 1M+ transactions ~9K active wallets The numbers are publicly trackable No hype needed the data speaks for itself Check it out: retium.net/stats Which number stands out most? @RetiumChain
🚀 One million transactions. For the first time, the Retium public testnet has crossed one million transactions, with just over 9,000 active wallets. Check it here retium.net/stats
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aggkader retweeted
顔痩せならバイオエステック一択だと思う 愛用してるゴマキ様(41歳)のフェイスラインこれだからね... 10年以上エステにもいかずEMSでケアしてるらしく、マネージャーにもプレゼンとしてた。 某20万円の有名美顔器も持ってるけど 3万のこっちのが余裕で威力強くてもはや闇
1~2年でのこの垢抜けが理想すぎてダイエットと顔痩せのモチベにしてる😖💖️
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aggkader retweeted
UTEXO is taking a different route for USDT using Bitcoin as the settlement layer Lightning for fast off chain execution and RGB for native asset support With configurable fees private payments swaps and Bitcoin connectivity UTEXO is built for real world payment flows @utexocom
Made with AI
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aggkader retweeted
Money is becoming digital. Bank accounts, wallets, tokenized value, and digital settlement are coming closer together. The technology may get more complex. The experience should get simpler. #CFXN is building one connected financial experience. #Fintech #DigitalFinance
What if money didn't just move-but understood the rules? Who can receive it. How much can move. When it should stop. That's the shift from automation to authority. And CFXN is building toward that future. Read here↗ cfxn.io/blog/ai-powered-fina… #CFXN #FinTech #AI
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1/2 - Eliminating Cognitive Friction - ​Carrying emotional baggage from a past misstep ruins your execution on the next trade. @acepyr trading environment requires absolute mental clarity, especially when active live prediction markets move - @tradewithPhoton @DatalineAI
1/2 -The Biology of Metamorphosis ​In natural ecosystems, species that fail to mutate when their environment shifts face swift extinction. Financial and predictive spaces operate by the exact same law. Stagnating on old habits within @acepyr will- @tradewithPhoton @DatalineAI
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1/2 - Protecting Your Capita - ​Risk management isn't just about preserving funds; it's about staying in the game long enough to capture massive asymmetric upside. Navigating high stakes rounds on @acepyr market demands strict discipline 👇 @tradewithPhoton @DatalineAI
1/2 - The Contrast of Deep Vision - ​A candle looks bright in a pitch black room, but it completely vanishes under the blinding glare of noon. Most people mistake temporary hype for lasting brilliance because they never test their perspective👇 @tradewithPhoton @acepyr
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aggkader retweeted
This video provides a comprehensive explanation of how @Actum_system links the POHA protocol with DTN-based data. It also highlights how human-centric preventive measures can ensure the reliability of real-world operations. #ACTUM
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Retium isn’t just about building another blockchain. It’s about building from first principles where mathematics, logic, and scalability work together Proof of Math Logic Infinite Scalability. Building scalable infrastructure without losing the fundamentals @RetiumChain
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How I use Nodiens to make sense of crypto: Nodiens gives you different ways to understand what is happening in crypto. I look at the market data first, then the conversations around it. These are the parts I find most useful: 1. TWO SIDES OF CRYPTO RESEARCH: One thing I’ve noticed about crypto research is that there are two different questions you need to answer. “What is the market telling me?” And: “What are people talking about?” For me, Nodiens separates these two sides pretty well. 2. INDICES: READING THE MARKET The Indices side is where I look at the market itself. Nodiens has indices like NSS, NCS, NCR, NSA and NMI, which give you different ways to look at market conditions instead of relying on price alone. You also have Coin Insights, where you can look at sentiment, trading activity, volatility, risk, drawdown and order depth. A token moving 10% tells you what happened to price. It does not explain what is driving the move. Looking at several signals together gives you more context around what is happening. 3. DISCOVERING MARKET TRENDS: This is where I start looking beyond individual tokens. Discover Market Trends helps surface assets and narratives that are attracting attention. Instead of randomly scrolling through Crypto Twitter looking for something happening, you have a place to investigate what is already starting to stand out. The important part is still doing your own research. A trend getting attention does not automatically make it meaningful. 4. SOCIAL FEED: FOLLOWING THE CONVERSATION The Social Feed answers a different question: “What are people talking about?” The Unified Market Feed brings conversations from X, Reddit and Telegram into one place. I like this because different platforms often have completely different conversations around the same asset. X might be bullish. Reddit might be skeptical. Telegram might be focused on something else entirely. Seeing those perspectives together gives you more context. 5. LOOKING FOR THE SIGNAL BEHIND THE NOISE: This is where the two sides start working together. The market data tells you what is changing. The Social Feed gives you context around what people are saying. So instead of only asking: “Why is this token pumping?” You start asking better questions: Is attention increasing? Is sentiment changing? Is trading activity picking up? Are different communities discussing the same thing? Did the conversation change before the price moved? Those questions lead to better research. 6. THE WAY I SEE NODIENS: For me, Nodiens has two useful sides. INDICES = What the market is telling you. SOCIAL FEED = What people are telling each other. Put both together and you get more context before making your own read.
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aggkader retweeted
🚨 THE $KDX NUMBERS ARE OUT. KieDex has officially revealed its Tokenomics. 1B $KDX total supply. ◆ 37% — Community & Rewards ◆ 20% — Sale ◆ 13% — Treasury & Strategic ◆ 13% — Team & Advisors ◆ 13% — Liquidity & Insurance ◆ 4% — Growth & Referral But this is only the first reveal. The full allocation & distribution breakdown is coming next. The supply is set. The structure is taking shape. And $KDX is getting closer. @kiedexapp
📊 KieDex Tokenomics Total Supply: 1B KDX A detailed breakdown of our token allocation and distribution will be shared in the upcoming update.
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aggkader retweeted
Good morning. Happy New month. May Q4 be more fruitful and I believe everyone will smile soon. Just another day here preaching @Actum_system and what the infra set out to build. What exactly is Actum? Think of Actum as a trust layer for real-world operations. It helps answer 3 simple questions: What happened? When did it happen? Can we verify it? Actum works by: → Collecting operational data → Checking the context and required actions → Verifying activities through multiple signals → Recording both completed and missed actions → Preserving evidence for future audits and analysis In simple terms: Actum turns operational activity into data that can be verified, trusted, and analyzed. I think people need not to sleep on this. Learn more about the infra.
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