Vantyx Chain

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Vantyx Chain

Vantyx Chain

@vantyxchain

Anonymous Builder No face. Just systems Code is power The future is on-chain

Rusel Felts Motor Company Katılım Kasım 2018
148 Takip Edilen383 Takipçiler
Vantyx Chain
Vantyx Chain@vantyxchain·
@EinsteinBTC1 A lot of people entered crypto to change their lives. But imagine changing someone else’s life too💛 That’s why projects like $CZ1 with purpose will always stand out differently📚🚀🌍 CA: 0xcde9fdc3e97979b76ba65a88d9a631f514a3c36f Tg: t.me/cz1_bnb
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Einstein 👑
Einstein 👑@EinsteinBTC1·
Who remembers the days of buying a new project, jumping into the TG group, and just watching the buybot go absolutely crazy? The good old days.
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Vugar Usi
Vugar Usi@usithetalk·
Japan’s stock market just printed a fresh all time high after a +3.5% move in a single session, driven by optimism around a potential US-Iran peace deal. One headline changes the entire global risk equation. Lower geopolitical pressure → lower oil fears Lower oil fears → softer inflation expectations Softer inflation expectations → better liquidity conditions That is why equities are ripping. And this is exactly what many crypto participants still fail to understand: Crypto does not trade in isolation anymore. It trades inside the global macro machine. Rates, energy markets, bond yields, geopolitical stability, liquidity flows. This cycle is less about memes and more about capital conditions. When the world starts pricing stability again, risk assets move first. Crypto usually follows faster than most expect.
The Kobeissi Letter@KobeissiLetter

BREAKING: Japan's stock market extends gains to +3.5% on the day and hits its highest level on record amid optimism over a potential US-Iran peace deal.

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Shiro
Shiro@CryptoShiro_·
Gm, 4x on ethereum:0x40e3d1a4b2c47d9aa61261f5606136ef73e28042! 🫡 I told you we are going to $100M. Here are the latest news about ethereum:0x40e3d1a4b2c47d9aa61261f5606136ef73e28042 ↓ 🧵 ------ 4x from this post, less than 2 months ago, that has been my pinned post the whole time: 🔗 x.com/CryptoShiro_/s… We're at a $60M market cap, making a lot of noise, and larger investors are finally starting to bid ethereum:0x40e3d1a4b2c47d9aa61261f5606136ef73e28042. Even in an uncertain market, @openservai keeps outperforming. They've been building consistently for months, and now it's time to reap the fruits. This move could very well continue for a while. First, in case you missed my post last week. Reasons why ethereum:0x40e3d1a4b2c47d9aa61261f5606136ef73e28042 pumped: 🔗 x.com/CryptoShiro_/s… ------ ✦ The Latest News & Bull Posts • Latest Accomplishments 🔗 x.com/openservai/sta… • New Independent benchmarks of SERV 🔗 x.com/openservai/sta… • Akretic feedback on SERV 🔗 x.com/openservai/sta… • More teams choosing SERV 🔗 x.com/openservai/sta… 🔗 x.com/openservai/sta… 🔗 x.com/openservai/sta… 🔗 x.com/openservai/sta… • Testimonials from SERV Beta 🔗 x.com/iamfakeguru/st… • Usage stats are growing very fast 🔗 x.com/openservai/sta… 🔗 x.com/leshka_eth/sta… • x402 market on ethereum:0x40e3d1a4b2c47d9aa61261f5606136ef73e28042 also booming with interesting use cases 🔗 x.com/iamfakeguru/st… • SERV makes new model stronger 🔗 x.com/openservai/sta… 🔗 x.com/openservai/sta… • Microsoft just admitted they cant afford AI, OpenServ is fixing that 🔗 x.com/iamfakeguru/st… • SERV thesis 🔗 x.com/JukovCrypto/st… 🔗 x.com/open_founder/s… • SERV Virtuous Cycle 🔗 x.com/openservai/sta… • SERV: the best bet on Enterprise AI 🔗 x.com/iamfakeguru/st… • Big buys on ethereum:0x40e3d1a4b2c47d9aa61261f5606136ef73e28042 🔗 x.com/_0xghost_/stat… • Staking soon? 🔗 x.com/Crypt0_AI/stat… ------ The theses are everywhere, with just one conclusion: we're going higher. I've posted my thesis and the TL;DR on ethereum:0x40e3d1a4b2c47d9aa61261f5606136ef73e28042 in my two previous posts, check them out. 🫡 ✦ Follow the ethereum:0x40e3d1a4b2c47d9aa61261f5606136ef73e28042 gang: @open_founder @iamfakeguru @0xSammy @Ruimtepak_ @texasxbt @Crypt0_Andrew @degenApe22 @Karamata2_2 @resdegen @ElonTrades @_0xghost_ @JukovCrypto @Crypt0_AI @Overdose_AI @greenytrades @dontbuytops NFA & DYOR 🫡
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Vantyx Chain
Vantyx Chain@vantyxchain·
@2xnmore Most people hold $TAO without using the products built on it
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2xnmore
2xnmore@2xnmore·
I pay Claude $20 a month. Most $TAO holders do too. There is a stack you can build in 15 minutes that fixes that completely. It runs on Bittensor. It costs $10. You do not write a single line of code. Here is how every AI chat product actually works under the hood. Three layers. Always three. The model. The brain. GPT, Claude, DeepSeek, Kimi, GLM. The inference layer. The GPU that runs the model when you hit send. The interface. The chat box you actually look at. ChatGPT and Claude bundle all three and hand you the result. You cannot change the model. You cannot change the inference. The interface is non-negotiable. Every prompt you type goes to a server run by a private company whose terms of service can quietly change next month. The anti-ChatGPT move is to pick each layer yourself. This is where $TAO comes in. Chutes is Subnet 64 on Bittensor. It is the inference layer. Open source models like DeepSeek, Kimi, GLM, and Llama get served by a global network of miner-operated GPUs. Validators score the output quality. The best inference wins the emissions. You hit send. A miner somewhere runs your prompt. You get the answer back. The TAO you hold is in part paying for the GPU you just used. The basic stack is one URL. chutes. ai/chat No account. No API key. No setup. Switch models mid-conversation. Web search built in. Image generation. File uploads. Free. The advanced stack is Chutes plus TypingMind. One-time license. No recurring fee. Plugins, agents, custom personas, a prompt library you build over months. Full model switching between Chutes, OpenAI, and Anthropic from the same window. Total cost: $10 a month to Chutes for inference. That $10 buys you $50 in actual usage. But here is the signal most people missed inside this story. Chutes ran a free tier until February. Then they killed it. Then they raised the minimum to $10 in May. Most people saw that as bad news. It is the opposite. Free things on the internet do not last. Real products do. Chutes is becoming a real product. A subnet that generates actual revenue from actual users paying actual money for actual AI inference. That is what $43 million in Q1 network revenue looks like at the individual subnet level. And there is one more thing ChatGPT and Claude cannot offer that Chutes already has. Trusted Execution Environments. Your prompt gets encrypted on your device, shipped to a confidential compute GPU, and the lock only breaks inside the chip. The miner running the model physically cannot read your prompt. ChatGPT cannot promise that. Claude cannot promise that. Bittensor already built it. You are holding a network where the subnets are generating real revenue, shipping real privacy infrastructure, and replacing $20 a month centralised subscriptions with $10 a month decentralised inference. The people who use the product always understand the investment better than the people who only watch the price.
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Einstein 👑
Einstein 👑@EinsteinBTC1·
We can blame the Iran/U.S. conflict for the weak crypto market, but meanwhile most major market indexes keep hitting new all-time highs again and again. That’s why it makes sense to stack coins like $CARR where you can still earn passive income regardless of token price or overall market conditions 🫡
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Vugar Usi
Vugar Usi@usithetalk·
Gm, happy weekend 0 fees, ♾️ opportunities #mexc
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Vantyx Chain
Vantyx Chain@vantyxchain·
@cyrilXBT Imagine ignoring this now then paying thousands to learn it next year
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CyrilXBT
CyrilXBT@cyrilXBT·
Most people will spend 4 hours tonight consuming. Zero creating. Then wonder why nothing changes. Spend 30 minutes with any one of these. 10 completely free resources that will teach you how to build AI agents from scratch. The same systems companies are paying consultants $50,000 to implement right now. Free. Available tonight. No excuses. 01 — Hugging Face AI Agents Course The most comprehensive free agent course on the internet. Built by the team behind the most used AI model library in the world. 02 — DeepLearning.AI AI Agents in LangGraph Andrew Ng's team. Free. The course that turns AI curiosity into actual production systems. 03 — DeepLearning.AI Multi-AI Agent Systems With CrewAI How to make multiple agents work together without breaking each other. The skill nobody is teaching clearly yet. 04 — Microsoft AI Agents for Beginners Microsoft open sourced their entire internal AI agent curriculum. Free on GitHub. Updated regularly. 05 — LangChain Docs The framework behind most production agent systems running right now. Read the docs like a textbook. 06 — CrewAI Docs Multi-agent orchestration explained clearly. The tool serious builders are moving to right now. 07 — AutoGen Docs Microsoft's agent framework. How enterprise teams are building agents that manage other agents. 08 — OpenAI Agents SDK The official SDK for building agents on top of the most used AI API in the world. 09 — Anthropic MCP Quickstart The protocol that connects Claude to every tool, database, and API you already use. The most underused resource on this list. 10 — Awesome Agent Learning A curated GitHub repository of every agent learning resource worth your time. Updated by the community every week. The people who bookmark this tonight and work through even two of these resources will have a skill set in 30 days that most developers will spend the next 2 years trying to catch up to. Every single one is free. Every single one is available right now. Your move. Follow @cyrilXBT for the exact agent frameworks, workflows, and systems I use to build and ship faster than teams of six.
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Vantyx Chain
Vantyx Chain@vantyxchain·
@cyrilXBT Most people use AI daily without understanding how it actually works This is a cheat code
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CyrilXBT
CyrilXBT@cyrilXBT·
HARVARD JUST PUT THEIR ENTIRE AI CURRICULUM ON YOUTUBE FOR FREE. This lecture alone is worth more than most $500 AI courses you almost bought last month. Here is everything it covers in under 2 hours. GENERATIVE AI AND CHATBOTS How models like Claude actually work under the hood. System prompts. User prompts. Prompt engineering. The foundation behind every AI tool you use every single day. Most people use these tools without understanding a single thing happening beneath the surface. This fixes that permanently. AI IN PROGRAMMING A live demonstration of GitHub Copilot that shows exactly how AI reads context and writes code alongside you. Not theory. A working demo that shows you the gap between how most developers use AI and how the fast ones do. DECISION MAKING ALGORITHMS How AI actually makes decisions. Decision trees. Minimax. The logic behind every competitive AI system ever built. The part most people skip because it sounds technical. The part that makes everything else make sense when you understand it. DEEP LEARNING AND LARGE LANGUAGE MODELS How neural networks actually process information. What attention mechanisms are and why they matter. Why AI hallucinates and what is actually happening when it does. Explained clearly for the first time without a PhD required. 2 hours. Free. From Harvard. The people who watch this tonight will understand something about AI that most daily users will never take the time to learn. That gap compounds every single week. Follow @cyrilXBT for the exact resources, courses, and systems I use to stay ahead of everything happening in AI right now.
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Vugar Usi
Vugar Usi@usithetalk·
Markets don’t usually collapse because of volatility. They collapse because participants confuse leverage with conviction. Seeing a $77M liquidation is another reminder that in crypto, size without discipline becomes exit liquidity very fast. The market has matured. Infrastructure improved. Institutional participation increased. But human behavior remains exactly the same. Greed still expands during green candles. Risk management still disappears near local tops. And excessive leverage still gets punished in hours. The biggest edge in this industry is not predicting every move. It’s surviving long enough to compound through multiple cycles
Arkham@arkham

MACHI BIG BROTHER: HYPERLIQUIDATED [AGAIN] Machi Big Brother has been liquidated for almost all of his perpetuals account balance, and is now down to his last $100K. Machi Big Brother has lost $77.7 MILLION trading crypto perps in the past year. Is it over for him?

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Whale Coin Talk
Whale Coin Talk@WhaleCoinTalk·
Good dip here on $DEGEN… hit $2.8M at ATH. Community formed and already has over 6k holders with 5 CEX listings.. including MEXC and Gate. Team is reportedly planning to leverage the upcoming World Cup for ad and marketing push. Some notable chads onboard and pushing. x.com/teslaownerssv/… FmjijgwEHpe32VPvHy1s7u7TLthh9yu1j75djVbWpump @WE_R_ALL_DEGENS #Degen #NFA #Ad
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Moby Media
Moby Media@mobymedia·
LATEST🚨 The ECB has pushed back on euro stablecoin proposals, warning EU finance ministers that expanded issuance could weaken bank lending and complicate monetary policy.🏦
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The Smart Ape 🔥
The Smart Ape 🔥@the_smart_ape·
most teams this cycle couldn't close a $1m round. @EuclidProtocol closed $3.5m, kucoin ventures, gate ventures, 0g labs, atom, kahuna. then shipped. then started paying users to use it. mission 16 is live. 🧵⬇️
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Vantyx Chain
Vantyx Chain@vantyxchain·
@usithetalk Concentration risk is still one of the industry’s biggest blind spots
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Vugar Usi
Vugar Usi@usithetalk·
Europe’s next crypto stress test will not only be about price. It will be about access, portability and resilience. In my op-ed for Funds Europe, I explain why asset managers need stronger governance around platform exposure, concentration risk, DORA readiness and exit planning. Read it here 👇 funds-europe.com/europes-crypto…
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Einstein 👑
Einstein 👑@EinsteinBTC1·
I think irans about to get smoked … 🤔
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Vugar Usi@usithetalk·
Gm! We spend so much time chasing more in this industry. More capital, more markets, more products, more attention, more speed. But at some point, the real win is knowing what to simplify. A clear mind, a small trusted circle, and meaningful work are still one of the most underrated forms of wealth.
CZ 🔶 BNB@cz_binance

We are trained to go bigger, more money, more crypto, more AI agents, more friends, more projects, more plans, more everything, and less happy. Happy people have a small circle of friends and simple routines.

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