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Ayo~ this season is back!🔥 I alread picked this year’s All-Stars. Stephen Curry, Andrew Wiggins and all my favorite Warriors!  Lets Dub the Vote #NBAAllstar# #DubNation#

Bitcoin Capitalism — my keynote from @BTCPrague 2026. Digital Capital is the foundation for Digital Credit, Digital Money, Digital Yield, Digital Equity, and a universe of Bitcoin-backed products and services. Timestamps: 01:37 - The Four Bitcoin Ideologies and the case for Bitcoin Capitalism 03:29 - Bitcoin as Digital Capital: thousand-year capital with a half-life of infinity 06:12 - Bitcoin network snapshot and ~68% dominance 07:41 - What is money? The Austrian view, the conventional investor view, and “Bitcoin is money, everything else is credit” 09:21 - Digital Money and Digital Credit: bitcoin-backed products for fiat-facing investors 11:28 - Digital Credit: an ~$11–12B asset class that was zero 12 months ago 14:54 - Bitcoin’s opportunity: $1T of bitcoin vs. $1,000T of global capital 15:43 - The 10-dimensional model for reaching stranded capital 16:44 - 1) Asset types: commodities, equities, credit, derivatives, real estate, money, and tokens 18:07 - 2) Capital functions: store of value, appreciation, income, collateral, and payments 19:29 - 3) Custody: self-custody, banks, custodians, broker-dealers, prime brokers, and exchanges 20:34 - 4) Jurisdictions: 664,000 legal and regulatory environments for capital 22:03 - 5) Distribution networks: banks, exchanges, payment networks, and $156T controlled by wealth advisors 23:13 - 6) Account forms: retirement accounts, brokerage accounts, insurance policies, treasuries, and trusts 24:51 - 7) Risk: market, currency, duration, regulatory, credit, technical, security, theft, and counterparty risk 26:03 - 8) Liquidity: transforming $350T of illiquid capital with liquid digital assets 28:02 - 9) Investors: banks control ~$200T and need compliant bitcoin-backed products 30:09 - 10) Product characteristics: fixed rate, floating rate, leverage, callability, fees, and structure 30:45 - The 10x10 matrix for channeling global capital into Bitcoin 31:19 - How $10–20T of capital could expand Bitcoin into a $100T network, moving from $70K to $700K to $7M per bitcoin 32:10 - Bitcoin Capitalism as a Darwinian market: winners, challengers, failures, and 1,400 companies tracked by Strategy 34:53 - Existing bitcoin-backed products: @Trezor, @Unchained, @Fidelity, @Fold_app, @Tando_me, @Relai_app, @CashApp, @HodlHodl, @AnchorWatch, @Meanwhile, $IBIT, $STRC, and $MSTR 40:03 - Digital Capital, Digital Credit, Digital Money, and Digital Yield competing with traditional capital markets 41:03 - Digital Money and Digital Yield: better stablecoins and higher-yield bitcoin-backed products 47:27 - 3 ways to participate: savers, investors, and innovators 49:19 - The aluminum airplane analogy: people buy the product, not the commodity underneath 52:29 - Build a ₿ridge to connect $BTC to the global capital markets 53:42 - 10,000 products, 10,000 needs, and 100,000 corporate efforts to change the world

This AI just exposed the BIGGEST legal insider trading operation in America. A platform called GovGreed built a seven-layer machine learning system that cross-references every stock trade disclosed by every sitting politician against the bills their committees control, the campaign donations they receive, and the companies their votes directly impact. It scored all 540 politicians currently in Congress. And the numbers are crazy: 56% of every stock purchase made by Congress in the last 16 months was on a stock directly affected by a bill the buyer later voted on. That is 6,170 out of 11,016 total purchases. More than HALF of all congressional stock buys are on companies whose fate that same politician is about to decide. 343 of 540 Congress members actively trade stocks while holding access to nonpublic legislative information. That is 63.8% of the entire legislature making market bets with an informational edge that would put any hedge fund manager in prison. The AI identified 752 active "Triple Signals" in the current Congress. A Triple Signal fires when three conditions line up at once: The politician sits on the committee controlling a bill, they traded stock in a company affected by that bill, AND they received campaign contributions from that same industry. Bills carrying these insider indicators pass at 5.4 TIMES the normal rate. Now look at the individual leaderboard: - Nancy Pelosi's estimated portfolio sits at $194 million with a Greediness score of 98.1 out of 100 - Ro Khanna made 13,231 trades across 800+ different tickers - Michael McCaul made 32,302 trades and filed 6,670 of them late - Thomas Suozzi filed 86.4% of his trades late with an average delay of 396 days, meaning his disclosures landed over a YEAR after he made the trade And then there is Lisa McClain, the fourth-ranking Republican in the House. She has made 1,443 trades in three years, more than 98% of all politicians tracked. She violated the STOCK Act twice in a single year, disclosing up to $900,000 in trades months after the legal deadline. Her husband bought up to $250,000 in Elon Musk's xAI, which quietly converted into SpaceX equity before last Friday's $2 trillion IPO. The penalty for all of this? A $200 fine. The number of Congress members ever prosecuted under the STOCK Act since it passed in 2012? Zero. And the cruelest part is this: A bill to ban congressional stock trading was introduced in January 2026. It has bipartisan support. Over 80% of American voters want it passed. But Congress is sitting on it, because the people who would have to vote yes are the same people making millions from the system staying exactly the way it is. They write the insider trading laws, they exempt themselves from enforcement, they trade on the information those laws generate, and when they get caught, they pay a fine that is basically nothing. The AI didn't discover anything Congress was hiding. It just organized what was already public into a pattern so obvious that nobody can pretend it isn't there anymore.

The SPLC used $4.1 million in donor to fund the KKK and other extremist groups. This is how they used the money: -Attend and host extremist group rallies across the country. -Grow existing chapters of extremist groups. -Create new chapters of extremist groups; Recruit new individuals into extremist groups. -Make donations to extremist group leaders. -Purchase materials for cross burnings. -Purchase materials to make Ku Klux Klan robes and hoods. -Create racist paraphernalia that extremist groups sold at rallies. -Publish extremist literature used in the recruiting of more members. -Pay everyday living expenses, which allowed the Fs to focus on their extremist groups rather than seeking other employment. They funded the groups they told the public they were fighting.

Internet users raise nearly $150,000 for an 85-year-old elderly AMC worker after a video of her working went viral. Mary Ellen Eron of Maryville, Tennessee, was seen on camera hauling a heavy garbage bag. "Let’s secretly help retire this beautiful woman. No one deserves to work at this age," said Brooklyn Green, the woman who captured the moment. "I am overwhelmed and certainly blessed from the Lord and you wonderful people. Thank you," Mary said. Over 7500 people donated before donations were paused.

Saw a few people on CT comparing lending APYs again and it reminded me how different fixed-rate markets behave. When I borrow on Aave, I always have one eye on utilization because rates can shift long after the position is opened. With @TermMaxFi, the borrowing cost is fixed until maturity, so I know exactly what I'm paying from day one. That predictability changes how I manage risk and size positions. The rate isn't coming from a utilization model either. It's priced through an AMM yield curve and orderbook-style execution across different maturities. Different durations, different rates. The position ends up feeling more like a fixed income instrument than floating debt. I've been using one-click leverage more often because there's less uncertainty around future borrowing costs. Makes it easier to plan XP farming without constantly adjusting loops. Started allocating part of my capital into Vaults too. The premium plus XP yield fits better with how I'm approaching longer-term positions right now. Not necessarily chasing the highest number on the screen. Just trying to reduce variables where I can. Fixed rates to maturity help with that more than I expected.

🐦 ACTUM Early Bird Campaign ACTUM is officially launching a limited-time Early Bird Campaign. This 15-day campaign is designed to reward the earliest community members and establish the core foundation of the ACTUM ecosystem, supporting its long-term development. 🎯 Campaign Overview 📅 Duration: 15 Days (Limited-Time Only) Users who join our Discord during this period and complete basic verification will receive the Early Bird role. ⚙️ How to Participate Simply enter the designated channel and click the symbol to automatically receive the Early Bird role: 👉 No additional application or complex steps are required, just click to claim. 👑 Early Bird Benefits Users who successfully obtain the Early Bird role will enjoy: • Priority access to future community events • Early access to ecosystem updates and announcements • Increased weighting in future reward systems • Recognition as early-stage community contributors 📌 Important Notes • Early Bird status is only available during the 15-day campaign period • Users joining after the campaign ends will not be eligible • All participants must comply with community rules • ACTUM reserves the right to review and disqualify any fraudulent or abusive behavior This is your opportunity to become one of the earliest core members of ACTUM and secure early ecosystem advantages before further expansion. 🏭 Welcome to ACTUM

延伸了一些关于 TradFi 的死穴在哪里，以及 infiniFi @infiniFi 凭什么能去撬动的想法。 这两天和一个在传统资管圈做风控的朋友聊天，聊到一个关于期限错配（Duration Gap）​的老大难问题。原来我按照常理思考，觉得这事儿银行家们玩了几百年早就炉火纯青了，后来朋友说，正是因为他们玩得太熟练，反而留下了致命盲区。他们赚的是利差，担的是挤兑的风险，一旦长短期资金不匹配，流动性瞬间枯竭，这就是2008年的剧本。 然后他叹了口气说，现在的 DeFi 借贷虽然透明，但依然是把长钱和短钱硬凑在一起，就像把十年的房贷和一周的信用卡账单扔进同一个抽屉，风险定价完全靠感觉，没人敢真正把长周期的国债资产拿出来给散户分一杯羹，因为怕锁死。 这就给像 infiniFi​ 这样的系统带来了一个真空市场地带。 infiniFi 搞了一套自我协调的去中心化存款人驱动系统。 先分边站队，再自动匹配，最后用算法兜底。普通散户把钱扔进来（Mint iUSD），拿收益；胆子大的长线资金把流动性锁定（Lock iUSD），换取更高的回报；系统背后用自动化阶梯（Automate Laddering）​ 把长短债精准配对，再用 Curve @CurveFinance 当流动性备胎，硬生生把传统的银行资产负债表变成了透明的智能合约。 有趣的是，它没有中间商赚差价。​ 传统银行靠存贷利差吃饭， infiniFi 是部分准备金模型，风险共担、收益共享，没有冗员，没有层层盘剥，把利润直接返给存款人。 也许这是下一个 DeFi 2.0​ 的机会了。不再是无脑挖矿，而是真正解决 TradFi 遗留了几十年的流动性错配难题，把固收市场的蛋糕重新切一遍。

Chrishell Stause calls Katharine McPhee “insecure” and accuses her of supporting “problematic men” in comment on a video detailing the singer’s dating history and Republican donations.