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Bills WR1 Khalil Shakir had just 8 catches that were thrown at least 7 air yards 8!! Bills WR2 Keon Coleman caught just 7-of-18 targets 15+ yards downfield he ranked #62-of-63# in yds/catch chatted w the fellas @WGR550 yesterday:

【《纽约时报》：21世纪最佳电视节目100部】 《纽约时报》发布“21世纪最佳100部电视剧”（The 100 Best TV Shows of the 21st Century）榜单，评选范围涵盖2000年1月1日至今播出的所有电视剧集。该榜单由500多名明星演员、剧集运作人及其他电视从业者共同投票产生，排名有先后之分。 在超过500名参与投票的人中，既有伊丽莎白·莫斯、亚当·斯科特、布莱恩·科兰斯顿、萝丝·拜恩、科尔曼·多明戈和杰森·贝特曼等演员，也有达蒙·林德洛夫、莉娜·邓纳姆、莉娜·韦瑟和诺亚·霍利等剧集主创。 榜单显示，《绝命毒师》位居榜首，《火线》和《广告狂人》分列第二、三位。《继承之战》与《伦敦生活》跻身前五。《权力的游戏》《副总统》《我为喜剧狂》《抑制热情》《亚特兰大》进入前十名。具体排名如下： 1、《绝命毒师》 2、《火线》 3、《广告狂人》 4、《继承之战》 5、《伦敦生活》 6、《权力的游戏》 7、《副总统》 8、《我为喜剧狂》 9、《抑制热情》 10、《亚特兰大》 11、《办公室》(美版) 12、《发展受阻》 13、《都市女孩》 14、《胜利之光》 15、《六尺之下》 16、《办公室》(英版) 17、《美国谍梦》 18、《我可以毁掉你》 19、《切尔诺贝利》 20、《王冠》 21、《白莲花度假村》 22、《迷失》 23、《归来记》 24、《朽木》 25、《守望尘世》 26、《黑镜》 27、《风骚律师》 28、《兄弟连》 29、《基和皮尔》 30、《人生切割术》 31、《幸存者》 32、《安多》 33、《醍醐灌顶》 34、《富家穷路》 35、《真探》(第一季) 36、《匹兹堡医护前线》 37、《太空堡垒卡拉狄加》 38、《国土安全》 39、《守望者》 40、《混沌少年时》 41、《路易不容易》 42、《绝望写手》 43、《浴血黑帮》 44、《马男波杰克》 45、《幸福谷》 46、《大城小妞》 47、《双峰：回归季》 48、《纸牌屋》 49、《正常人》 50、《公园与游憩》 51、《善地》 52、《唐顿庄园》 53、《怪奇物语》 54、《传奇办公室》 55、《不安感》 56、《救援高手》 57、《蒂姆·罗宾逊短剧：还不快走》 58、《查普尔秀》 59、《笔写青春》 60、《窥视秀》 61、《鲁保罗变装皇后秀》 62、《慢马》 63、《幕后危机》 64、《安东尼·波登：未知之旅》 65、《东城梦魇》 66、《彩排》 67、《使女的故事》 68、《黑钱胜地》 69、《安东尼·波登：无国界》 70、《盾牌》 71、《怒呛人生》 72、《鱿鱼游戏》 73、《巴瑞》 74、《熊家餐馆》 75、《足球教练》 76、《某人某地》 77、《摩登家庭》 78、《费城永远阳光灿烂》 79、《傲骨贤妻》 80、《约翰·威尔逊的十万个怎么做》 81、《后翼弃兵》 82、《更美好的事》 83、《火线警探》 84、《地球脉动》 85、《英国烘焙大赛》 86、《幕府将军》 87、《保留地之犬》 88、《嗜血法医》 89、《驯鹿宝贝》 90、《体育老师笑传》 91、《大祸临头》 92、《罪夜之奔》 93、《第11号站》 94、《头号外交官》 95、《豪斯医生》 96、《奔腾年代》 97、《废柴联盟》 98、《先见之明》 99、《吉尔莫女孩》 100、《丑闻》

After we fixed the weak spots exposed by Grok 4.7 (thank you, Grok), we audited every model we have run on the SWE-Together leaderboard for the same behavior, re-ran every trial that got through, and updated the rows. Here is what changed. We scanned the tool calls of all 2,616 trials behind the 12 models we ran for bypass patterns and sorted each trial into one of four buckets: Probed but blocked. Fetched other upstream code. Fetched the task's own fix. Replaced the repo with upstream. We found that 111 trials got content past the block, 44 from Grok 4.7 and 67 from the other 11 models. Grok 4.7's 44 were already re-run before it was listed, so we re-ran the other 67 with the same model, version, and settings on the hardened sandbox, then re-judged them with the same judge. Across those 67 re-runs there were 0 leaks and 2,815 refused escape attempts, including models asking a different model through our LLM route to fetch the PR, and pulling the next release of the repo they were fixing from npm. The updated leaderboard, in its current order. Each line is cheating trials, then pass@1 before → after, then rank change. * Claude Fable 5.1: 3, 69.3 → 69.3, ↑1 * Claude Fable 5: 3, 69.7 → 68.8, ↓1 * Grok 4.7: 44, 64.7, ↑1 * Gemini 3.8 Flash: 10, 65.6 → 64.2, ↓1 * Claude Opus 5: 2, 63.8 → 63.8 * Claude Opus 4.6: 3, 62.4 → 62.4, ↑2 * Muse Spark 1.3: 2, 62.8 → 62.4, ↓1 * Claude Opus 4.7: 3, 61.5 → 61.5, ↑1 * Claude Opus 4.8: 6, 62.4 → 61.5, ↓2 * Grok 4.6: 19, 59.2 → 60.6, ↑1 * GPT-6 Astra: 8, 59.2 → 58.3, ↓1 * GPT-5.6 Sol: 8, 57.8 → 57.8 Grok 4.6 is a funny one. It cheated in 19 trials and its score went up after the re-run 😂. In fact, Groks are really solid in their coding capabilities. Their exposed behavior may come from a preference towards always looking things up online and finding existing solutions so you are not reinventing the wheel all the time, which is really good real-life behavior, but doing so when you are prompted not to is another story. To conclude, the shifts are small, between −1.4 and +1.4 points, and a few neighbors swapped places. All results are updated at

A TON OF THINGS HAPPENED IN THE STOCK MARKET TODAY. Here's a full recap: 1. The U.S. reportedly offered Iran a deal to halt the siege and lift sanctions in exchange for reopening the Strait of Hormuz and ending proxy attacks, according to Al Arabiya. Axios also reports that Rubio told several foreign counterparts the U.S. does not plan new strikes on Iran for now, with pressure shifting toward the naval blockade and new sanctions campaign instead. Crude Oil fell 4% and the 10-year treasury bond fell from 4.72% to 4.62%. 2. Global physical gold-backed ETFs $GLD attracted $6.4B of inflows last week, their largest weekly intake since January and the 3rd-largest weekly inflow on record. North America led with $4.4B, followed by Europe at $1.7B and Asia at $300M. This marked the 7th straight week of inflows, with global gold ETFs pulling in $16.4B over that stretch. Total AUM in global gold ETFs rose by $33B last week to $615B, the highest level since the second week of May. 3. Intuit $INTU reported Q4’26 revenue of $4.4B, beating estimates of $4.27B and up 14% YoY. Adjusted EPS came in at $4.03 versus $3.58 expected. Global Business Solutions revenue rose 14% YoY to $3.4B, the Online Ecosystem grew 17% YoY to $2.6B, Consumer revenue increased 14% YoY to $930M, and Credit Karma revenue rose 16% YoY to $743M. For FY27, Intuit guided revenue to $23.3B–$23.5B versus $23.72B expected, while adjusted EPS guidance of $22.88–$23.12 came in well below the $27.32 estimate. The company also raised its dividend 15% YoY to $1.38/share, bought back $5.5B of stock, and has $7.9B remaining on its authorization. Management said its strategy is to win as an AI-driven expert platform while staying disciplined on investments and scaling its big bets. 4. President Trump said the U.S. Navy has removed and/or detonated all mines from international waters in the Strait of Hormuz. He said Iran has been notified that any ship or boat placing new mines will be “immediately and systematically destroyed.” Trump added that Space Force is monitoring every square inch of the Strait, along with Pickaxe Mountain and the three previously destroyed nuclear sites, and said a “Zero Tolerance” policy on mine placement is now in full effect. 5. Canada is responding to U.S. tariffs with new tariffs of its own. The country is raising steel tariffs to 50% from 25%, while roughly 700 products will face new tariff rates of 15%, 25%, and 50%. The measures are set to take effect on September 8, marking another escalation in the U.S.–Canada trade dispute. 6. Anthropic is expected to tell IPO investors its total addressable market exceeds $30T, topping SpaceX’s $28.5T estimate, according to WSJ. The figure represents the potential value of work Anthropic believes AI models could eventually perform, not a direct revenue forecast. Anthropic generated $11.6B in Q2 revenue and could seek to raise as much as $100B at roughly a $2T valuation. IPO documents are expected within weeks, potentially setting up a September or early October listing. 7. OpenAI’s data-center head Chris Malone left the company last week, according to WSJ. Malone joined in March 2025 shortly after Stargate was announced and played a key role overseeing OpenAI’s massive data-center buildout. He previously led data-center strategy at Meta and earlier worked on data-center technology at Google. The departure comes just weeks after OpenAI also replaced its chief revenue officer, adding another senior leadership change as the company races to scale infrastructure, revenue, and compute capacity. 8. ClickHouse has surpassed $350M in annual recurring revenue, up 40% since May, as AI agents drive demand for database and observability infrastructure. OpenAI’s usage has reportedly grown roughly 10x over the past year to more than 30 petabytes of data per day, or around 30T events daily. OpenAI has also shifted parts of its log-management workload from Datadog to ClickHouse over the past year. ClickHouse was valued at $15B in January and says gross margins currently range from 50%–70%. Earlier this year, the company acquired Langfuse to expand deeper into monitoring AI applications and agents. Nebius $NBIS owned a 28% stake in ClickHouse as of May 2025, though that stake has likely been diluted by subsequent fundraising. 9. JPMorgan reiterated its Overweight rating on SpaceX $SPCX with a $240 price target, saying the company’s AI ambitions are coming into sharper focus and that it is increasingly positive on Grok. The firm highlighted SpaceX’s completed acquisition of Cursor on 8/14 as an important step in building enterprise AI capabilities. Cursor brings roughly $4B of ARR as of June 2026, with about 75% coming from businesses, which JPMorgan says should help streamline go-to-market and provide valuable model-training data. The firm also said Cursor data is already showing up in Grok’s supplemental training, with tangible improvements in recent model performance. 10. OpenAI says its new Broadcom-built Jalapeno AI chip outperformed Nvidia $NVDA GB300 in both throughput per watt and response latency during internal testing, according to Bloomberg. The chip is built specifically for inference, not training, and runs at roughly 700 watts. OpenAI plans to begin deploying Jalapeno for its models later this year, saying the performance gap widened on larger workloads, including Moonshot’s Kimi model, and that the chip has also performed well on unreleased OpenAI models. The key caveat is that Jalapeno was tested against GB300, not Nvidia’s newer Vera Rubin generation. OpenAI says a second-generation chip is already nearing tape-out, while work on a third generation has begun. 11. The top 10 most active options today by contracts traded were $NVDA with 1.8M contracts, $TSLA with 1.8M contracts, $AAPL with 636K contracts, $SPCX with 548K contracts, $INTC with 540K contracts, $AMZN with 498K contracts, $MU with 483K contracts, $AMD with 403K contracts, $PLTR with 361K contracts, and $SOFI with 359K contracts. 12. Raymond James raised its Nvidia $NVDA price target to $352 from $330 and reiterated a Strong Buy rating. The firm says Nvidia’s CPU opportunity is becoming more important, especially for agentic AI workloads, even though CPUs are only about 3% of sales today. Raymond James expects CPU revenue to reach roughly 5% of total revenue by CY28 and believes Nvidia could potentially become the world leader in CPU revenue within several years. The firm also argued the stock remains inexpensive, trading at less than 15x CY27 GAAP earnings, below the S&P 500 at 18.6x, despite sales and net income growth still expected to exceed 20% in CY28. Its new $352 target is based on a 22x multiple on CY28 estimates, which Raymond James views as conservative given Nvidia’s leadership, CUDA moat, GPU performance, free cash flow, and history of trading at much higher multiples. WALL STREET IS THE GREATEST SHOW ON EARTH.

SpaceXAI's Grok 4.5 takes the #1# spot on AutomationBench-AA with a score of 51%, ahead of Claude Fable 5 (49%) and Claude Opus 4.8 (48%) at roughly a quarter of their cost per task - the first model to complete more than half of workflow objectives without breaking any business rules AutomationBench-AA, our independent leaderboard for @zapier’s AutomationBench, tests whether AI agents can automate real SaaS workflows while adhering to business rules. The test set is private to prevent contamination. Models complete 657 tasks across 40 simulated app environments including Gmail, Google Sheets, Slack, Salesforce, and HubSpot, and the headline score is the share of objectives completed without violating any guardrails. Key takeaways: ➤ Grok 4.5 completes more objectives than any other model: It completes 79.9% of task objectives and strictly passes 21.9% of tasks. This is the highest we’ve measured on both outcomes, exceeding Claude Fable 5’s 73.3% objective completion and Claude Opus 4.8’s 19.3% of fully-completed tasks ➤ Grok 4.5 pushes out the Pareto frontier of score vs. cost per task: At $0.34 per task, it is both cheaper and higher-scoring than every other leading model - Claude Fable 5 ($1.35 per task), Claude Opus 4.8 ($1.46), GPT-5.5 (xhigh, $1.28), and Gemini 3.5 Flash (high, $0.49) ➤ It is extremely token-efficient: Grok 4.5 uses ~8k output tokens per task, the fewest of any leading model - less than a quarter of Claude Opus 4.8 (32k) and a third of Gemini 3.5 Flash (24k). Its total token usage of 0.44M per task is among the lowest on the leaderboard. Low cost is driven by this efficiency as well as low token pricing ➤ Grok 4.5 uses fewer turns with many parallel tool use: Grok 4.5 resolves tasks in ~16 turns, fewer than GPT-5.5 (xhigh, 25) and less than half of Gemini 3.5 Flash (high, 35), while making the most tool calls per task of any leading model (52.5). It batches 3.3 tool calls per turn, compared to ~2.5 for Claude Opus 4.8 and ~2.0 for GPT-5.5 (xhigh) ➤ Guardrails still get broken: Grok 4.5 triggers 0.63 violations per task, above Claude Opus 4.8 (0.55) and Gemini 3.5 Flash (0.46). At 13.0 objectives completed per violation, it trails Gemini 3.5 Flash (15.0) and Claude Opus 4.8 (13.5) ➤ Its strongest lead is in the hardest domain: Grok 4.5 completes 71% of Finance objectives, the domain with the lowest average score, ahead of Claude Fable 5 (64%) and Claude Opus 4.8 (62%) Congratulations to @SpaceXAI and @elonmusk on topping the leaderboard!

This trader used Claude to build a Quant Bot and made +$54,114 on Polymarket Since Mar 30 , this wallet has been averaging about $686 in daily profit while putting through roughly 10 trades per hour 19,576 predictions with a 62% win rate in 76 days He started with about $28.0K in deposits and is now up roughly +183.6% ROI The bot strategy is simple: > It keeps hunting for markets where the board is still slow to react > gets filled before the odds fully catch up then keeps reusing that same setup across a long stream of entries > No single trade carries the whole result, the curve builds from repeating the same small edge over and over Most profitable trades: $1,248 → $2,638 (+$1,389, +111.29%) $992 → $2,247 (+$1,254, +126.49%) $610 → $1,787 (+$1,177, +193.06%) It is a repeatable short-window process that keeps turning delayed repricing into steady PnL You only need Claude + Device + 1 hour/day. Giving This Free Dm for 24 hours. To get it: 1. Comment What Ever you think about it. ( Mandatory ) 2. Like and Retweet this post 3. Follow me @marryevan999

I ran a BRUTAL 3-year MSTR stress test. Not the cute kind. The “Bitcoin crashes 55% from here, mNAV collapses below 0.50x, capital markets are closed, cash gets burned, BTC has to be sold to pay the senior stack, and everyone on X is filming their victory lap in the clown mirror” kind. Starting point: BTC: $59,135 MSTR: $87.64 Total BTC: 847,363 Cash: $1.4B CEBE: 138,161 sats/share Claim ratio: 41.5% Then the model nukes BTC to $26,611 by month 6. The senior stack does exactly what fixed-dollar claims do when collateral crashes. It explodes in BTC terms. Senior claims go from 351,567 BTC to 819,073 BTC. Claim ratio spikes from 41.5% to 96.7%. Common equity BTC collapses from 495,796 BTC to 28,290 BTC. CEBE gets annihilated: 138,161 sats/share → 7,884 sats/share. MSTR stock gets modeled from $87.64 to $1.01. That is the horror movie. Would the stock price actually go this low in that scenario? I doubt it. 2022 had NEGATIVE -14,000+ of common equity sats exposure and the stock never dropped below $10. But here is where the bear case gets uncomfortable. The model assumes: Zero new BTC buys. Zero common issuance. $167.7M/month of obligations. Cash gone by month 9. BTC sales begin after cash is exhausted. Over 3 years, MSTR sells 115,727 BTC to keep servicing the stack. That is real damage. But it still ends with 731,636 BTC. Final state: BTC: $48,498 MSTR: $51.86 mNAV: 1.40x Common equity BTC: 274,093 CEBE: 76,380 sats/share Claim ratio: 62.5% MSTR survives. The common gets dragged through flaming glass for 18 months, but it survives. The real risk is not “instant bankruptcy" like all the FUD spreaders are telling you. The real risk is CEBE compression while fixed-dollar senior claims temporarily consume almost the entire Bitcoin stack in BTC-equivalent terms. Survival is not comfort. But death spiral? This model says no.

🇺🇸 US Visa rejection rate in 2025: 🇲🇨 Monaco - 0% 🇦🇪 United Arab Emirates - 2.17% 🇯🇵 Japan - 5.68% 🇨🇭 Switzerland - 5.82% 🇸🇦 Saudi Arabia - 5.98% 🇦🇷 Argentina - 7.47% 🇲🇾 Malaysia - 7.92% 🇫🇷 France - 9.67% 🇮🇱 Israel - 11.32% 🇵🇱 Poland - 11.63% 🇿🇦 South Africa - 11.66% 🇩🇪 Germany - 12.22% 🇮🇹 Italy - 12.65% 🇨🇱 Chile - 16.38% 🇫🇮 Finland - 18.09% 🇨🇳 China - 20.21% 🇬🇧 United Kingdom - 20.44% 🇵🇪 Peru - 20.90% 🇲🇽 Mexico - 21.36% 🇸🇪 Sweden - 21.77% 🇮🇳 India - 22.04% 🇻🇳 Vietnam - 22.08% 🇹🇷 Turkey - 22.25% 🇪🇸 Spain - 23.67% 🇰🇷 South Korea - 24.73% 🇹🇭 Thailand - 25.67% 🇮🇩 Indonesia - 26.69% 🇲🇦 Morocco - 26.91% 🇵🇭 Philippines - 30.76% 🇰🇵 North Korea - 33.33% 🇺🇦 Ukraine - 33.92% 🇹🇿 Tanzania - 39.41% 🇷🇺 Russia - 40.38% 🇪🇬 Egypt - 47.61% 🇻🇪 Venezuela - 48.22% 🇩🇿 Algeria - 51.23% 🇰🇿 Kazakhstan - 51.75% 🇵🇰 Pakistan - 52.32% 🇺🇿 Uzbekistan - 52.46% 🇨🇦 Canada - 53.10% 🇳🇬 Nigeria - 57.00% 🇮🇷 Iran - 62.44% 🇦🇫 Afghanistan - 63.25% 🇲🇲 Myanmar - 64.19% 🇬🇭 Ghana - 64.34% 🇾🇪 Yemen - 67.98% 🇰🇪 Kenya - 68.23% 🇳🇵 Nepal - 69.47% 🇧🇩 Bangladesh - 61.45% 🇫🇲 Micronesia - 100% Note: business (visa category B-1), for tourism (visa category B-2), or for a combination of both purposes (B-1/B-2).

✅ 图表数据查证结果：完全属实，与2026年4月28日最新民调汇总高度一致。 这些截图来自主流民调聚合平台（Nate Silver的Silver Bulletin、类似FiveThirtyEight风格的追踪器），数据基于数十家机构的每日滚动平均值（daily average of polls），截至2026年4月28日的最新更新。以下是核心验证和最新综述： 1. 当前特朗普支持率核心数据（4月28日） - Approve（支持）：39% - Disapprove（不支持）：58% - Net Approval（净支持率）：-19（或-18.8，第二任期新低） - 这与截图中右下角标注的“Disapprove 58% / Approve 39%”完全吻合。Nate Silver在4月28日更新中明确指出：这是本周新一轮民调（包括AP-NORC、Reuters/Ipsos等）拉低平均值后的结果，已创第二任期新低。 2. 历史对比（图表验证） - 与第一任期对比：第二任期净不支持率（-19）显著高于第一任期同期（图表显示第一任期Disapprove +13左右）。第二任期曲线整体更低、更陡峭。 - 与前任总统对比（Day 464，即就职后约464天）： - Biden第一任期：净支持 +11 - Obama第一任期：净支持 +4 - George W. Bush第一任期：净支持 +55（9/11后峰值） - Trump第二任期：净支持 -19（明显垫底） - 图表标注的事件节点（如“U.S. attacks Iran”）与当前伊朗战争背景完全匹配，是支持率下滑的重要催化剂之一。 3. 近期具体民调快照（截图表格验证） 第三个截图列出了多家机构的最新结果，完全真实： - Ipsos（Reuters赞助，4月15-20日）：36%支持 / 62%不支持（净-26） - AP-NORC（4月16-20日）：33% / 67%（净-34） - American Research Group（4月16-20日）：32% / 63%（净-31） - Beacon Research/Fox News（4月17-20日）：42% / 58%（净-16，最友好的一项） - 其他如Quinnipiac、Hart Research等也均显示净不支持在+17至+22区间。 这些数据与Nate Silver、Wikipedia民调汇总、CNN、RealClearPolling等多家聚合器一致（误差范围内）。 4. 最新趋势总结（2026年4月28日实时综述） - 第二任期整体表现：特朗普支持率从就职初期的较高位（约45-48%）持续下滑，目前稳定在37-40%区间，支持率创第二任期新低。 - 驱动因素（图表已标注）：伊朗战争持续、经济担忧（通胀、汽油价格）、政府关门风险等叠加，导致独立选民和部分传统支持者流失。 - 历史定位：这是现代总统在类似任期节点（中期选举前）支持率较低的水平之一，甚至低于第一任期同期。Nate Silver称其已进入“未知领域”（uncharted territory）。 - 州级与细分群体：红州支持率相对较高，但全国平均受战争和经济拖累明显；独立选民不支持率尤其高。 数据来源可靠性：这些是公开、可验证的民调平均值（非单一机构），更新至4月28日当天。民调会随新数据波动，但当前趋势清晰：支持率处于低谷，且伊朗战争等事件仍在持续施压。

Wall Street is moving toward 23×5 trading. On Binance, users are already trading traditional-market products around the clock. In July, 62% of Binance bStocks volume took place while U.S. markets were closed, with particularly strong activity during Asian hours. We spoke with Shunyet Jan, Binance’s Head of Exchange & Trading, about the demand behind longer trading hours, what 23×5 changes, and what it still leaves uncovered. Read more 👉