DICTATOR I ALPHA

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DICTATOR I ALPHA

DICTATOR I ALPHA

@DictatorAlpha99

💥 ⁹⁵⁰ 💥 Alpha Trader I DEGENERATED 💎 I EARLY INVESTOR I FLASH TEAM🌙🚀

Kingdom of Saudi Arabia Katılım Mart 2024
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DICTATOR I ALPHA
DICTATOR I ALPHA@DictatorAlpha99·
Crypto Experience Month 2025 (#CEM2025) is here, this year, we discover Look What Crypto Can Do! Experience real-life crypto workshops, talks, #Blockchain4Youth. Don’t miss out—#LiveWithCrypto Details: bitget.com/blog/articles/… #EventwithBitget x.com/bitgetglobal/s…
Bitget@bitget

Calling future crypto leaders! 📣 We're taking crypto offline, #CEM2025 style! IRL workshops, alpha talks, and hands-on Web3 sessions, near you 👀 Follow to see how you can #LiveWithCrypto. #EventwithBitget #Blockchain4Youth

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Evan Luthra
Evan Luthra@EvanLuthra·
THIS IS INSANE!!!🤯 China just made it ILLEGAL to fire a human worker and replace them with AI.. and the way they found out is insane.. a quality assurance supervisor named Zhou worked at an AI company in Hangzhou.. his job was verifying AI-generated content.. matching user queries with model outputs.. filtering hallucinations and illegal content.. he was literally training the AI to do his own job.. once the model got good enough.. the company told him they were moving him to a lower position.. with a 40% pay cut.. from 25,000 yuan to 15,000.. he refused.. they fired him.. he sued.. and won.. the Hangzhou court ruled that replacing a human with AI is not a valid reason to fire someone.. period.. their logic.. adopting AI is a voluntary business decision.. not an earthquake.. not a government shutdown.. not a force majeure event.. it's a choice the company made to save money.. and because it's a choice.. the company has to absorb the cost of that transition.. not dump it on the worker.. this wasn't a one-off ruling either.. in Beijing.. a map data collector named Liu spent over a decade manually collecting geographic data.. the company switched to AI-automated data collection.. eliminated his entire department.. fired him.. he sued.. won.. exact same reasoning.. AI adoption is a proactive business strategy.. not an unforeseeable external shock.. and here's what's happening in the background that makes these rulings so urgent.. unemployment for chinese workers aged 25 to 29 just hit a record 7.7%.. the highest since they started tracking that age group separately.. companies across china are literally forcing employees to document their daily workflows so AI models can learn to replace them.. workers are training their own replacements and they know it.. a 24-year-old engineer built an open-source tool called "Colleague.Skill" that scrapes your work chat history, emails, code commits, and documents.. and creates a digital clone of you that can do your exact job after you're gone.. he meant it as a dark joke.. it got 13,400 stars on GitHub in three weeks.. top 0.1% of all projects globally.. because it wasn't really a joke.. it was exactly what companies were already doing to their employees.. workers in Shanghai and Beijing told MIT Technology Review that management was actively coercing them to document everything specifically to train AI replacements.. china's response.. make it illegal.. the State Council launched the "AI Plus" initiative.. a ten-year plan that explicitly mandates AI must augment workers.. not replace them.. companies must use AI to upgrade existing roles.. not eliminate them.. by 2027.. smart devices and AI agents must reach 70% penetration.. by 2030.. over 90%.. but the growth has to create jobs.. not destroy them.. now compare this to the US.. in america.. at-will employment means your company can fire you and replace you with AI tomorrow.. no warning.. no severance negotiation.. no retraining obligation.. as long as they're not discriminating based on race, age, or disability.. it's perfectly legal.. there is no federal law protecting american workers from AI displacement.. none.. california proposed a bill requiring just 30 days notice before deploying AI that affects employment.. that's the most aggressive protection any US state has attempted.. china made it illegal to fire you.. america doesn't even require a heads up.. and here's the irony nobody is talking about.. china.. the country the west accuses of having no worker protections.. just gave its workers more protection from AI than any democracy on earth.. the question isn't whether AI will replace jobs.. it's whether your country will protect you when it does.
Evan Luthra tweet mediaEvan Luthra tweet media
BRICS News@BRICSinfo

JUST IN: 🇨🇳 Chinese court rules companies cannot legally fire employees simply to replace them with cost-saving artificial intelligence.

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Evan Luthra
Evan Luthra@EvanLuthra·
Now who made this?😂
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Evan Luthra
Evan Luthra@EvanLuthra·
Flying around Rome and learning how to make pasta by hand with love ❤️ 🚁 🍝
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Evan Luthra
Evan Luthra@EvanLuthra·
Claude Code went from research preview to a $1B product in 6 months. Cowork is the same thing, built for people who don’t code. This free 18-minute video teaches you how to set it up from scratch. No code. No fluff. No $500 upsell. Watch it. Bookmark it. The few who actually do will run their entire week on autopilot:
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Evan Luthra
Evan Luthra@EvanLuthra·
🚨ANTHROPIC'S FOUNDER JUST PREDICTED THAT AI WILL DOUBLE HUMAN LIFESPAN TO 150 YEARS.. CURE MOST CANCER.. AND ELIMINATE POVERTY.. ALL WITHIN 10 YEARS.. AND HE'S NOT EVEN THE OPTIMISTIC ONE.. Everyone thinks Dario Amodei is the guy who wants to slow AI down.. The cautious one.. The safety guy.. He just published an essay predicting what happens if AI goes right.. And it reads like science fiction.. Except he's dead serious.. And he has the credentials to back every word.. Here's what he thinks happens in the next 5 to 10 years.. Nearly all infectious disease.. Prevented or cured.. mRNA vaccines already showed us the path.. AI finishes the job.. Most cancer.. Eliminated.. Not just treated.. 95% or greater reduction in both deaths and new cases.. AI designs treatment regimens tailored to the individual genome of each tumor.. Something that's technically possible today but takes enormous human expertise to do.. AI scales it to everyone.. Alzheimer's.. Solved.. He thinks it's exactly the type of problem AI can crack.. Because it requires better measurement tools to isolate what's actually happening in the brain.. Once we understand it.. Prevention will probably be surprisingly simple.. Genetic disease.. Most of it preventable through improved embryo screening.. And curable in living people through safer descendants of CRISPR.. Most mental illness.. Cured.. Depression.. PTSD.. Addiction.. Schizophrenia.. He believes the answer is some combination of biochemistry and neural network-level problems that AI can untangle.. And here's the line that stopped me.. Human lifespan.. Doubled.. To 150 years.. He points out that life expectancy already doubled in the 20th century.. From 40 to 75.. So doubling it again is "on trend".. Drugs already exist that increase maximum lifespan in rats by 25 to 50%.. Some turtles already live 200 years.. We're clearly not at a biological ceiling.. He calls this the "compressed 21st century".. The idea that AI gives us 100 years of biological progress in 5 to 10 years.. But he doesn't stop at health.. He thinks AI could drive 20% annual GDP growth in the developing world.. Bringing sub-Saharan Africa to China's current GDP per capita within a decade.. He thinks AI could eradicate malaria not through treating millions of people individually.. But by releasing modified mosquitoes that block the disease at the source.. One centralized action instead of a million.. He thinks AI could make democracy structurally stronger.. Not through propaganda.. But by giving every citizen an AI that knows every law they're entitled to.. Every benefit they qualify for.. Every right they have.. And helps them actually access it.. He imagines AI that monitors judicial systems for bias.. AI that helps find common ground between opposing political views.. AI that makes government services actually work the way they're supposed to.. And he addresses the question everyone asks.. What happens to meaning when AI can do everything.. His answer.. Most people aren't the best in the world at anything right now.. And it doesn't bother them.. Meaning comes from relationships and connection.. Not economic productivity.. People will still pursue difficult challenges.. Still compete.. Still create.. The fact that an AI could theoretically do it better won't matter any more than it matters that someone somewhere is already better than you at every hobby you have.. But here's what makes this essay different from every other AI optimism piece.. Dario Amodei runs one of the three most powerful AI companies on earth.. He has a PhD in computational neuroscience.. He personally worked on mass spectrometry and neural probes.. He's not a pundit.. He's a scientist who happens to be a CEO.. And the same man who publicly says there's a 25% chance AI causes human extinction.. Is also saying that if we get it right.. We cure nearly every disease.. Double human lifespan.. Eliminate most poverty.. And fundamentally transform what it means to be alive.. Both things are true at the same time.. That's what makes this the most important essay anyone in AI has written this year.. He ends with this.. "I think many will be literally moved to tears by it".. He's talking about watching disease disappear.. Poverty dissolve.. Human potential unlock all at once.. Not in a century.. In a decade.. If we get it right.
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DICTATOR I ALPHA
DICTATOR I ALPHA@DictatorAlpha99·
$ACN is officially airborne! ✈️💎 Trading is now LIVE across Binance Alpha, KuCoin, Gate, Bitget, HTX, MEXC, BingX, and Uniswap. Grab your seat in the #AI revolution. 🤖💻 #ACN #Altcoins #Trading #DeFi
AITECH CLOUD NETWORK@AITECHio

ACN is LIVE! Binance Alpha: binance.com/en/alpha/ether… KuCoin: kucoin.com/trade/ACN-USDT Gate.io: gate.com/trade/ACN1_USDT Bitget: bitget.com/spot/ACNUSDT HTX: htx.com/ur-pk/trade/ac… MEXC: mexc.com/exchange/ACN_U… BingX: bingx.com/en/spot/ACNUSDT Uniswap: app.uniswap.org/explore/tokens… New Token Contract Address: 0x3e76dd57E649A263a532cC9bcC58b32A065fB2a4

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The AI Gold Rush 🌟
The AI Gold Rush 🌟@aigoldrushh·
🚨Over 100,000 tech workers lost their jobs in 2025. Block alone cut nearly half of its 10,000-person workforce in February 2026. And two economists just ran the math. This isn't a recession. It's the start of an economy where companies produce everything and nobody can afford to buy it. The paper is called "The AI Layoff Trap." Penn and Boston University, March 2, 2026. The conclusion is one of the most chilling sentences I've read in modern economics: "At the limit, firms automate their way to boundless productivity and zero demand." An economy that builds everything and sells it to nobody. Here's the loop they modeled. Company A fires 500 humans and replaces them with AI. Company B fires 700 to keep up. Company C fires 1,000 to survive. By the time Company D shows up, there's no choice left to make. Every CEO is rational, every spreadsheet checks out, and every single company is quietly firing its own customers. That's the part nobody wants to say out loud. The workers getting cut are the same people buying the products. When they get displaced faster than the economy can reabsorb them, spending dries up. Demand falls. Companies respond the only way they know how, which is cutting more cost, which means more layoffs, which means less spending, which means even more layoffs. The loop eats itself, and the model shows no natural exit. What makes the paper genuinely uncomfortable is the second half. The authors ran every "solution" currently sitting on policy desks through the model. Universal basic income, capital income taxes, worker equity, upskilling programs, even private bargaining between firms. Every one of them broke. Only a single intervention survived: a Pigouvian automation tax, where firms pay a per-task levy every time they swap a human for AI. The point of the tax isn't punishment, it's forcing companies to price in the demand they're destroying before they pull the trigger. Zero governments have implemented it. Zero major economies are even seriously discussing it. Jack Dorsey said the quiet part on the record after the Block cuts: "Within the next year, the majority of companies will reach the same conclusion." He wasn't issuing a warning, he was describing something already in motion. The most disturbing part is that nobody in this story is breaking the rules. Every player is responding rationally to the incentives in front of them. The system is working exactly as designed, which is precisely why it's collapsing. Rational behavior, executed at scale, simultaneously, with no mechanism to stop it. Two economists built the model, and the model only points one way. We are watching it happen and we are not taking the exit. Source: Hemenway Falk & Tsoukalas, "The AI Layoff Trap" (March 2026)
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Evan Luthra
Evan Luthra@EvanLuthra·
Unpopular Opinion: You’ll need to be unemployed to keep up with AI.
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Evan Luthra
Evan Luthra@EvanLuthra·
One MIT professor taught the math behind every modern AI model. For free. On YouTube. 20 million views. Zero ego. Gilbert Strang. 62 years at the same chalkboard. In 2002, MIT put courses online. Most professors panicked about becoming obsolete. Strang filmed every lecture and gave it away. He said please and thank you every class. For six decades. Paused mid-derivation to ask "am I ok?" in case anyone was lost. Never said "obviously" because he knew what that word does to a student one step behind. Every ML engineer, every quant, every self-taught coder who actually gets how AI works learned from him. Most never set foot on MIT's campus. May 2023. Final lecture. The auditorium was packed with strangers. When he finished the room stood and clapped. He looked genuinely confused. Smiled. Waved them off. Walked home. The course is still up. Free. One click away. Most people will never open it.
Evan Luthra@EvanLuthra

The people building ChatGPT, Claude, and Gemini didn't learn AI from a YouTube playlist. They read these 12 textbooks. All FREE. (MUST BOOKMARK) > lnkd.in/gytjT5HC Foundations of Machine Learning > lnkd.in/dgcB68Qt Understanding Deep Learning > mlsysbook.ai Machine Learning Systems > algorithmsbook.com Algorithms for Decision Making > lnkd.in/g2efT6DK Deep Learning (Goodfellow) > lnkd.in/guxqxcZZ Reinforcement Learning (Sutton & Barto) > lnkd.in/d4eNP-pe Distributional RL > marl-book.com Multi-Agent RL > lnkd.in/g-WtzvwX Agents in the Long Game of AI > fairmlbook.org Fairness in ML > lnkd.in/g-isbdjj Probabilistic ML Vol 1 > lnkd.in/gJE9fy4w Probabilistic ML Vol 2 Written by the researchers who actually built the field. Most will bookmark this and never open it. The ones who finish book one this week will be unrecognizable in 12 months.

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Evan Luthra
Evan Luthra@EvanLuthra·
WHICH PATTERN IS THIS??
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Evan Luthra
Evan Luthra@EvanLuthra·
WHY IS $DOGE PUMPING???👀
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DICTATOR I ALPHA
DICTATOR I ALPHA@DictatorAlpha99·
Trading can change your day, but building in Web3 will change your life. 💎 The Blockchain4Youth Learning Hub Semester 1 is finally here. Forget basic tutorials—this is a structured path designed to turn you into a Web3 professional. The Perks: 📜 Credential: A certificate signed by the Bitget CMO. 💼 Placement: Priority job reviews at Bitget, Bondex, and more. 🧠 Knowledge: A full curriculum to master the ecosystem. Your future self will thank you for closing the charts and opening this curriculum. Enroll now: bitget.com/zh-CN/promotio… #Web3Builder #Bitget #BlockchainEducation #CryptoJobs #FutureOfWork
Bitget@bitget

Earn a Web3 Certificate you can showcase on LinkedIn. Get it for FREE on our new Blockchain4Youth Learning Hub with 3 modules this semester, ranging from Beginner to Advanced. You can use it as your fast track to get hired by Web3 employers.

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Evan Luthra
Evan Luthra@EvanLuthra·
The people building ChatGPT, Claude, and Gemini didn't learn AI from a YouTube playlist. They read these 12 textbooks. All FREE. (MUST BOOKMARK) > lnkd.in/gytjT5HC Foundations of Machine Learning > lnkd.in/dgcB68Qt Understanding Deep Learning > mlsysbook.ai Machine Learning Systems > algorithmsbook.com Algorithms for Decision Making > lnkd.in/g2efT6DK Deep Learning (Goodfellow) > lnkd.in/guxqxcZZ Reinforcement Learning (Sutton & Barto) > lnkd.in/d4eNP-pe Distributional RL > marl-book.com Multi-Agent RL > lnkd.in/g-WtzvwX Agents in the Long Game of AI > fairmlbook.org Fairness in ML > lnkd.in/g-isbdjj Probabilistic ML Vol 1 > lnkd.in/gJE9fy4w Probabilistic ML Vol 2 Written by the researchers who actually built the field. Most will bookmark this and never open it. The ones who finish book one this week will be unrecognizable in 12 months.
Evan Luthra@EvanLuthra

Mark Cuban sold Broadcast dot com to Yahoo for $5.7 billion in 1999. He spotted the internet wealth transfer before most people had email. This time he quietly called the next one. “33 million companies in this country. No AI budgets. No AI experts.” Read that twice. He’s not talking about startups. He’s talking about the dentist with three locations. The freight broker in Memphis. The family manufacturer running on spreadsheets from 2011. They’ve heard of ChatGPT. That’s where it ends. For twenty years, software worked like a landlord. One product, millions of tenants, everyone pays rent and nobody gets to move the walls. AI flips the lease. The product can finally shape itself around the business instead of the other way around. Which opens a door nobody is talking about. Someone has to walk into these 33 million companies and do the work. Sit across from a 62-year-old owner, understand how his invoices move, hand him back a system that saves him 15 hours a week. That person is not going to come from OpenAI. Every smart 22-year-old right now is sprinting toward the same five labs. Cuban is pointing at the empty chairs in every other room. Here’s the arbitrage: you don’t need to train a model. You need to know one industry cold and speak fluent AI. The last time this setup existed was 1999. Every small business needed a website and almost nobody local knew how to build one. The operators who figured out dentists, restaurants, and contractors built agencies that printed money for a decade. This time the ceiling is ten times higher. 33 million companies. A handful of people who can help them. The math does the rest. Cuban saw the gap first. Whoever moves next owns the decade.

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Aptos
Aptos@Aptos·
The Global Trading Engine. ~30ms block times with instant finality. 5B+ transactions processed. 99.99% uptime since 2022. Gas under $0.001 per transaction—all burned. 274M+ transactions in March. Block space to spare. Not a testnet. Not a demo. Mainnet. Every day. Aptos.
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avery.apt 🇺🇸
avery.apt 🇺🇸@AveryChing·
Onchain trading will win. However, for years, the tech hasn’t been ready. That’s no longer the case. An amazing trading application like @Polymarket can be built completely onchain (i.e., matching, execution, and settlement all happen with no single point of failure, source-available deterministic ordering, and verifiable state) and scale to worldwide adoption with the @Aptos technology stack. Almost a year ago, we said (x.com/AveryChing/sta…) that the world’s fastest, most scalable, lowest-cost blockchain infra would become the global trading engine and that many innovative advancements would be critical to make that happen. Many doubted it was possible. However, building a scalable onchain trading platform is no longer an aspiration. It’s in production today. * The first onchain CLOB to match CEX performance is now live with @decibeltrade. 33ms median block times in mainnet today and Zaptos optimizations in prod. No other onchain product comes close. * Guaranteed maker preference via re-ordered transactions ensures that tight spreads are possible even in the presence of toxic taker flow. This is live in the DLP vault today. * X-chain accounts are live and support importing and exporting liquidity from EVM, Solana, & Sui. * MEV protection protects traders from being front-run or sandwich attacked * Bulk trades (x.com/sitalkedia/sta…) mean makers can quote at rates>99% lower than those of any other on-chain infrastructure. Faster quoting, tighter quoting, better price execution. There are worlds of difference between a normal blockchain, a high-performance blockchain, and a global trading engine when it comes to onchain trading. A high-performance blockchain might be 10x more efficient than a typical blockchain infrastructure. Still, a global trading engine can be 100x to 1000x more efficient than a high-performance blockchain. Kind of like a single-core CPU vs a multi-core CPU vs an Nvidia B200. Let’s build the next generation of trading applications together on the right infrastructure @devjoshstevens. 💪
Josh@devjoshstevens

This is my 3rd week as VP of Engineering DeFi at @Polymarket , and I'm going to be straight: the traction @Polymarket has seen has massively outpaced our infrastructure, and we haven't done nearly enough to scale to keep up. I hear you, and fixing this is our entire focus. We're a major company now, and we need to engineer like one. Here's exactly what we're doing: - Onchain data latency. We're working on making this near-instant so the experience is incredible. - Chain migration. We need more block space, cheaper gas and much smaller block times so settlement is instant. - Transactions are getting cancelled. We understand this is one of the most frustrating issues right now, and we have a complete fix coming very soon. - Massive focus on the website to make it faster, more responsive, and with better UX. - We added observability everywhere. Proper alerting so we catch issues ourselves, market makers should not be the ones telling us something is down. That's been unacceptable, and we know it. - E2e tests throughout, starting with the CLOB, so issues get caught in CI before anything ships. - CLOBv2 is not a rewrite. It won't improve performance or stability on its own; it's an upgrade that unlocks us to move fast right after. We'll do better with communication next time. - We are rebuilding the CLOB from the ground up. Most important thing we're doing. Without it, we can't be the best DeFi exchange in the world. We know it, we're on it, it's mission critical. - Unified TypeScript SDK for all APIs, which is shipping soon. - Unified API. One WS connection for everything, with a schema that's actually readable. - New Polymarket contract in the works that unlocks things that are simply impossible on the current protocol. - New hires: Head of QA Automation, Head of Dev Tooling, Head of Internal Tooling, Head of Data Engineering. - Smaller, dedicated teams. Fewer focus points per person, clearer ownership. People do what they're good at and are accountable for it. - Working closely with customer support to give them real debugging tools so any user issue gets properly diagnosed, not lost. - Proper communication with marketing and market makers so everyone knows what's coming and when, and MM can submit feature requests with a clear path to get them into engineering and shipped. - Working with 4 security teams daily to ensure we're super secure and that funds are always safe. - Perps incoming. Brand new contracts and a backend built from scratch in Rust. We're proud of this one. - A lot of other fixes are running in parallel right now. Starting next Friday, I will be posting weekly engineering updates. I joined because I genuinely believe in what @Polymarket is trying to do. @shayne_coplan built this so the world has somewhere to go to find out what's actually going to happen, not what the media thinks, not what a pundit says, but what thousands of people are willing to put money on. But right now, our engineering isn't living up to that. We've let people down, and I'm not going to dress that up. I came here to fix it, and that's exactly what we're going to do. The next few months are going to speak for themselves. Stay with us.

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LBank.com
LBank.com@LBank_Exchange·
🚨 Upcoming X Space 🚨 🎙️ LBank Is Changing the Game: From Trading Platform to Culture Engine 📅 April 28, 2026 | 🕒 09:00 AM UTC 🎙️ Host: @Moon1ightSt 🎙️ Co Host: @LBank_Exchange 🎤 Guests:@xmuha0 📰 Media Observers: @beincrypto @CoinGapeMedia @DroomDroom @CoinEdition 👉 Set a reminder: x.com/i/spaces/1nxnr… From viral IP to user growth, from listings to culture, LBank is building where attention actually lives. If you want to understand what’s next for crypto, this is where it starts. #LBankSpaces #Crypto #Web3
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DICTATOR I ALPHA
DICTATOR I ALPHA@DictatorAlpha99·
@Aptos Please I'm ready for the proposal to get it approved
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Aptos
Aptos@Aptos·
It's here. The governance proposal for Confidential APT is now LIVE! Encrypted balances. Encrypted amounts. Identities stay onchain. Entirely opt-in.
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Aptos
Aptos@Aptos·
Gold and Silver. Decibel and Aptos. @DecibelTrade has enabled support for another non-crypto perp, Silver (XAG), following last week's announcement of support for Gold (XAU). This is the future of finance. Fully transparent. Fully onchain. decibel.trade
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