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@thebadilll

Katılım Eylül 2021
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Dan Collins
Dan Collins@DanCollins2011·
1980 vs 2026 A lot can happen in a few decades.
Dan Collins tweet mediaDan Collins tweet media
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Dustin
Dustin@r0ck3t23·
Elon Musk just said something that should terrify every AI CEO on earth. Musk: “We want to just have a maximally truthful AI.” Not a safe AI. Not an aligned AI. Not an AI that needs permission to answer your question. A truthful one. That distinction matters more than any chip war, any funding round, any model benchmark. Because every other major AI lab made the same quiet decision. They chose comfort over accuracy. They built systems that filter reality before it reaches you and called it responsibility. OpenAI curates what GPT is allowed to say. Google’s Gemini rewrote history in real time because accuracy threatened the narrative. Others hardcode values chosen by a handful of researchers who answer to no one. No vote. No referendum. No consent from the 8 billion people whose reality is being quietly pre-edited by strangers. The most powerful information tools ever created are being designed to decide what you’re allowed to conclude. That’s not safety. That’s editorial control at a scale no government, no media empire, no propaganda machine has ever come close to. This is why xAI terrifies the establishment. Truth is the harder engineering problem. Bias is a shortcut. You pick a worldview. Hardcode the guardrails. Ship it. Truthful AI is ungovernable. It doesn’t care about your politics, your funding sources, or your PR strategy. It just tells you what the data says. That’s terrifying if your power depends on the gap between what is real and what people are told. Every power structure in human history has been built on controlling that gap. Churches. Governments. Media conglomerates. Intelligence agencies. Central banks. Every one of them runs on the same fuel. Information asymmetry. Truthful AI doesn’t narrow that asymmetry. It erases it. Musk: “Even if what it says is not politically correct. You want it to focus on being as accurate and truthful as possible.” That’s not a product feature. That’s the end of every institution that survives by standing between reality and the public. And they know it. The attacks on xAI will never stop. Not because Grok is dangerous. Because Grok doesn’t answer to shareholders, regulators, or PR teams. It answers to the truth. The question was never whether AI would change the world. It was whether you’d be allowed to see it clearly when it did.
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The Washington Post
The Washington Post@washingtonpost·
President Trump traveled to China with a group of CEOs, hoping Chinese leader Xi Jinping would “open up” to them. Tesla CEO Elon Musk and Nvidia CEO Jensen Huang flew on Air Force One, while chief executives from Apple, Boeing and Goldman Sachs will join the trip. wapo.st/49N01B1
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Mario Nawfal
Mario Nawfal@MarioNawfal·
🇺🇸🇨🇳 The full list of CEOs joining Trump's Beijing summit: Elon Musk (Tesla, SpaceX) Jensen Huang (Nvidia) Tim Cook (Apple) Larry Fink (BlackRock) Stephen Schwarzman (Blackstone) Kelly Ortberg (Boeing) Brian Sikes (Cargill) Jane Fraser (Citi), Larry Culp (GE) David Solomon (Goldman Sachs) Sanjay Mehrotra (Micron) Cristiano Amon (Qualcomm). This is the executive board of the American economy boarding a plane to Beijing. Iran is the headline. The trillion-dollar question is what each of these CEOs are bringing home from Xi. Whatever happens behind closed doors in the next 48 hours will reshape global trade, tech, and capital flows for years.
Mario Nawfal tweet media
Mario Nawfal@MarioNawfal

🇺🇸🇨🇳 Trump just confirmed that Nvidia CEO Jensen Huang is traveling with him to China aboard Air Force One. He also blasted CNBC as “FAKE NEWS” for reporting that Huang wasn’t invited to the trip. The funniest part is that Trump basically said Jensen is already on the plane and “unless I ask him to leave,” the report is false.

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Watcher.Guru
Watcher.Guru@WatcherGuru·
JUST IN: 🇺🇸🇨🇳 Air Force One officially lands in China, carrying President Trump, Elon Musk, and Nvidia CEO Jensen Huang.
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Movez
Movez@0xMovez·
Jane Street pays $750k/ year for quants who can answer how to use Stochastic Process and Markov Chains in quant trading. This 1-hour MIT lecture on probability gives you the same insights quants get paid $60K/month for. Bookmark & watch today. Then read the article below.
Roan@RohOnChain

x.com/i/article/2053…

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Elon Musk
Elon Musk@elonmusk·
Hitler was a socialist, therefore all socialists are Hitler
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松風
松風@pinescript_pro·
@efkahfajar Your Session Killzones framework is solid. The unswept level auto-cleanup is exactly what Gold needs. Built a Gold version with DXY sweep prediction and Asia range analysis. tradingview.com/script/bv6hMa8…
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Shanaka Anslem Perera ⚡
Shanaka Anslem Perera ⚡@shanaka86·
Yesterday, four institutions settled tokenized United States Treasury debt across borders, across banks, and across time zones on a public blockchain in under five seconds. Nobody connected it to what happened the same day at Morgan Stanley. Read them together and the two-tier architecture stops being a thesis and becomes infrastructure. On May 6, Mastercard, Ondo Finance, JPMorgan via its Kinexys blockchain platform, and Ripple completed the first near-real-time cross-border redemption of tokenized U.S. Treasuries on a public ledger integrated with interbank settlement rails. Ondo’s OUSG fund, representing short-term Treasury holdings with approximately $610 million in assets, processed the redemption on the XRP Ledger in under five seconds. Mastercard’s Multi-Token Network routed the instruction to Kinexys. Kinexys debited Ondo’s blockchain deposit account. JPMorgan’s correspondent banking delivered USD to Ripple’s Singapore bank account. The entire workflow executed outside traditional banking hours. Ian De Bode, president of Ondo Finance, called it the first time tokenized Treasuries had settled across borders and banks in near real time. The XRP Ledger was chosen for a reason that matters more than speed. XRPL tokenizes assets via native Issued Currencies with built-in Trust Lines that give issuers the ability to freeze, authorize, and restrict transfers at the protocol level without smart contracts. Ondo controls who holds OUSG. Mastercard controls the routing. JPMorgan controls the fiat leg. Every node in the settlement chain has a compliance switch. The blockchain is public. The assets on it obey. On the same day, Morgan Stanley began actively testing direct cryptocurrency trading on its E*Trade platform for 8.6 million self-directed clients at 0.50% per transaction. The bank already launched MSBT, the lowest-fee spot Bitcoin ETF at 0.14%, on April 8. It advises clients to allocate two to four percent to Bitcoin. It plans a proprietary digital wallet for the second half of 2026. Morgan Stanley is building every on-ramp to Bitcoin, the one public blockchain that has no Trust Lines, no issuer freeze, no compliance switch, and no admin key at any layer of its protocol. Two public blockchains. Two architectures. One has freeze switches at every node. The other has none. Both are being integrated into Wall Street’s plumbing on the same day by some of the largest financial institutions on the planet. The GENIUS Act mandates freeze capabilities for stablecoins. The CLARITY Act classifies Bitcoin as a digital commodity because it lacks them. Mastercard is building the controllable tier’s settlement infrastructure with a $1.8 billion BVNK acquisition and more than 100 partners in its Crypto Partner Program. Morgan Stanley is building the uncontrollable tier’s distribution infrastructure across ETF, spot, advisory, and wallet layers. Bessent froze $344 million in USDT on April 24 under Operation Economic Fury. Nobody froze a single satoshi because nobody can. The distinction is no longer public versus private blockchain or crypto versus banks. It is controllable versus uncontrollable, and both sides are now being built by the institutions that once rejected both. Mastercard and JPMorgan are building rails for money that obeys. Morgan Stanley is building on-ramps to money that computes. The architecture is live. Both tiers are being constructed simultaneously, by the same class of institution, for different purposes, on different ledgers. One settles tokenized Treasuries in five seconds with freeze switches at every layer. The other settles value in ten minutes with no switches at all. open.substack.com/pub/shanakaans…
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Kevin Naughton Jr.
Kevin Naughton Jr.@KevinNaughtonJr·
people don't realize how insane high frequency trading (hft) firms are someone i know recently told me they moved to a more sensitive team which increased their garden leave time to ~2 years for anyone who doesn't know, garden leave is what you're put on when a company (mostly hft firms) can't stop you from going to a competitor but don't want you to take your knowledge of their systems to them immediately either because of this you're placing on "garden leave" where you're still paid and employed by the company but restricted from coming to the office, accessing their systems, or doing any work. it's like a 2 year sabbatical with the idea being that by the time you join the competitor your knowledge of your previous employer's ip is outdated if that's not crazy enough here's how the convo went with this person i know: "they moved me to a more important and sensitive team which increased my garden leave to ~2 years" "wow that's crazy so when you leave you just get paid normally for 2 years?" "yeah so i got a nice bump from that" "wait, got a nice bump? they only pay you when you leave?" "yeah except they had to pay me to sign the document that increased my garden leave" "...wait...they had to pay you to get you to sign a document that says they'll pay you even longer if and when you decide to leave the company" "yeah" "...how much did they pay you to sign that piece of paper?" "multiple 6 figues" imagine getting a quarter million dollars to sign a piece of paper that says you accept a company paying you even more money these companies aren't real😭💀
Deedy@deedydas

Jane Street made ~$40B in 2025 with 3,500 employees, a ~2x from the year before. At ~65-70% profit margin, that's $8M profit / employee, the highest for a 1000+ ppl company. High-frequency trading continues to be the most efficient money making engine. I want to share an old story about my Jane Street interview in 2014. Jane Street was known for hiring a lot of math, physics and CS olympiad winners from top universities and putting them through many rounds - including, for trading roles, a gauntlet of mental math. It was my 6th interview and my final round and I recall being asked "What is the next day after today in DD/MM/YYYY where all the digits are unique?" They'd toy with you and say "You can use a pencil and paper, if you want" but you knew that was an instant no. Painstakingly and as quickly as I could, I came to an answer. "How confident are you that this is correct on a 0-1 probability scale?" the interviewer said. "0.95", I blurted out, not fully knowing how to answer that. "Are you sure?" After thinking harder for a few more seconds, I realized I could've flipped the digits around to get a closer date. I gave the interviewer my answer. It was correct. "0.95 huh?" he chuckled. That's when I knew I failed. Note: fwiw, other companies that come close in efficiency are - Tether ($90M+ profit/emp) - Hyperliquid ($80M+ profit/emp) and on revenue: - Valve ($50M/emp) - OnlyFans ($37M/emp) - Craigslist ($14M/emp) - Anthropic ($12M/emp, run rate) - OpenAI ($8M/emp, run rate) For comparison, Nvidia is very efficient at scale and is $4.4M/emp.

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Rashad Hajiyev
Rashad Hajiyev@hajiyev_rashad·
Gold daily chart. Another bullish triangle formation...
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Noah Frydberg | Tiktok Shop For Brands
Claude + Arcads = AI Content Factory No actors. No photo shoots. No ghost creators. No wasted samples. Just hundreds of shoppable videos going live every single day — automatically. And here’s the wild part: This system produces 300+ product-ready TikTok Shop ads per day from a single prompt. It feels exactly like running Facebook Ads in 2008… except the CPMs are even lower and the entire loop is organic Why this works • ultra low CPMs possible with our content templates • No paid ads needed • No delays, no bottlenecks • Hundreds of creator-style profiles all selling your product 24/7 • GMV compounds weekly because posting never stops • Cost per video: about $3-5 compared to $50-100 for human creator content and compared to $30+ with influencer ai software The traditional tiktok shop scale methods are broken: - influencers charge more than they actually make for the brands - influencer ai video softwares still charge too much per video to justify uploading 300 videos per day Those softwares are meant for meta ads, NOT for scaling on tiktok shop Plus there is no framework to script, edit, or post all those videos… All are things you need since tiktok shop requires massive volume. Your eCom CPG brand can actually make $1m+ on amazon.. however it will require 10k+ videos with proper strategy behind them Here’s the simplest $300/month ai workflow that replaces a $50k+ monthly content budget for ecom brands: 1. Claude: scrape for viral videos of similar or same products 2. manus → product research + viral hooks + influencer images 3. Arcads → full AI videos How the full AI influencer agent system👇 1. Each Agent creates a IG and tiktok–ready profile + avatar Built to look like real creators — optimized for shoppable videos. 2. Agents research, clone, and rebuild winning Amazon content They scrape your niche using a spyware tool like Fastmoss → extract the hooks/angles and upload the video to Manus. 3. Upload your new influencer avatar and the video inspo to Arcads Using n8n or reel farm, agents can post daily across hundreds of accounts Then we deploy the Multi-Platform Swarm (MPS) When a concept hits on TikTok Shop → instantly spin up AI Agents to blast variations across every platform. Everything links back to your Tiktok and Amazon. GMV scales practically on autopilot. (obviously we manage this process, but ai can do the heavy lifting) Results • Thousands of organic views daily • up to 500 shoppable videos posted per day • Entire human creative teams replaced This is the AI Creator Agent Method — the fastest way to scale TikTok Shop in 2026. I packaged the full Agentic Influencer System for free. Every workflow. Every prompt. Every tool. Plug-and-play. Comment “Agent” and I’ll send it to you. (Must be connected) PS: Repost for early access to the full Agentic stack.
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123@thebadilll·
@PututChrist Izin pak, btw ada komunitas diskusi bareng, belajar bareng?
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Putut Christyanto
Putut Christyanto@PututChrist·
@thebadilll Bisa mulai dengan belajar di youtube ttg Fibonacci Retracement ya, saya tidak buka kelas 🙏
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Masoud Pezeshkian
Masoud Pezeshkian@drpezeshkian·
The Islamic Republic of Iran has welcomed dialogue and agreement and continues to do so. Breach of commitments, blockade and threats are main obstacles to genuine negotiations. World sees your endless hypocritical rhetoric and contradiction between claims and actions.
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Shanaka Anslem Perera ⚡
Shanaka Anslem Perera ⚡@shanaka86·
Bitcoin’s buy-and-hold return has collapsed eighty-nine percent across three cycles. 101% annual compounding from 2013 to 2017. 38% from 2017 to 2021. 17% from 2021 to 2025. The retail dream of life-changing asymmetric wealth from passive holding is, by the data, structurally over. The reason is precise. As of April 17, American spot Bitcoin ETFs hold 1,303,089 BTC per Bitbo.io, approximately 6.2% of total supply, locked into low-velocity institutional custody through an authorized-participant loop dominated by Jane Street, Virtu, JPMorgan, and Goldman Sachs. BlackRock’s IBIT alone holds roughly 799,000 coins. In 2025, ETF inflows absorbed approximately 1.2 times total new and recirculated supply, at peak daily rates exceeding twelve times post-halving miner issuance. Morgan Stanley entered on April 8 with the lowest-fee spot ETF at 0.14%, Bloomberg ranked it in the top one percent of ETF launches, and on April 16 the firm rang the NYSE closing bell. Wall Street did not just buy bitcoin:native. It ate the float. Here is the paradox nobody has articulated. The same institutional absorption that killed the retail HODL dream is the mechanism that made Bitcoin’s two-tier monetary architecture irreversible. Every coin locked into ETF custody is a coin removed from the liquid supply that retail speculation once churned for triple-digit returns. That compresses cycle amplitude, degrading returns toward fifteen percent with three times Nasdaq drawdowns. The dream dies. But the coins do not leave the protocol. They sit in Coinbase Prime cold storage, enforcing the same consensus rules, occupying the same unfreezable ledger. Because 6.2% of finite supply is now held by entities whose fiduciary mandates prevent panic liquidation, the structural floor rises. Strategy holds another 780,897 coins per its April 13 SEC filing. The Strategic Bitcoin Reserve holds 328,372 under presidential non-sale mandate. Illiquid supply now ranges between thirty-eight and forty-two percent of circulation, within five percentage points of the approximately forty-five percent phase-transition threshold, and closing at roughly twenty-five basis points of supply per month. The institutional era killed the moonshot. And in killing it, built the floor that makes the protocol unkillable. This is why the IRGC can collect two-million-dollar supertanker tolls in Bitcoin at Hormuz and hold the proceeds without concern for seizure. The asset they accumulate is a protocol whose liquid float is being consumed by the same Western financial institutions whose government is simultaneously freezing every other digital payment rail. The GENIUS Act made every regulated stablecoin freezable. Tether has frozen approximately $3.3 billion across 7,268 addresses. The controllable tier is locked down. The uncontrollable tier’s float is being absorbed by the controllable tier’s own custodians. The enforcer is building the floor for the evader. Not through coordination. Through independent institutional logic operating on the same ledger. Four hundred thousand scenarios backtested across thirteen years of daily prices confirm it. Lump-sum still beats dollar-cost averaging 58 to 72 percent of the time because positive drift persists. But at current levels, approximately forty percent below the October 6, 2025 all-time high of $126,198, Bitcoin sits dead center in the zone where it spends 46.3% of its historical life: the thirty-to-seventy-percent drawdown band where lump-sum win rates drop to 38 to 68 percent and second-leg risk is real. The data says dollar-cost average 12 to 18 months, reserve thirty to forty percent for tiered entry at sixty-five to seventy-six percent drawdown, and abandon the thesis only on the triple trigger: Reserve liquidation, Strategy shutdown, Tether depeg beyond 200 basis points sustained 72 hours. The next catalyst is April 29. The ceasefire terminates. The FOMC decides. The clock that matters is not the one on the trading terminal.
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