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Some community banks are suggesting stablecoins are driving deposit flight. The data says otherwise: BofA shows household deposits rising across income groups this year, and the FDIC reports domestic deposits grew for a seventh straight quarter. Community banks actually outperformed the industry, posting 5% deposit growth. If the worry is the Clarity Act compromise itself, that’s backwards. Section 404 bars stablecoin issuers from paying anything that functions like interest, even disguised as rewards or points, and bans marketing stablecoins as deposits or FDIC-insured. It’s actually tougher than current law, not looser. The real story behind closing community banks isn’t stablecoins. It’s consolidation: 2,000 community banks lost in a decade, only 62 new ones formed, and the buyers are super regional banks, not crypto companies. The Banking Committee already built a nine-provision community bank package into the housing bill to help with deposit retention, on top of tightening stablecoin yield rules under Clarity. Killing the Clarity Act won’t help community banks. It just protects the status quo they say is broken.

推荐给产品经理们的「PM Skills Marketplace」 开源作者 @PawelHuryn 把经典产品管理方法论封装成 AI 可调用的「68 Skills + 42 Commands + 9 Plugins」，让 Codex、Cursor、Claude Code、WorkBuddy 等变成"懂 PM 方法论的工作伙伴"。 # 三层架构、九个插件：Skills -> Commands -> Plugins 1. pm-product-discovery（13 Skills / 5 Commands） 创意发散、假设识别与排序、OST 机会树、用户访谈脚本、实验设计 2. pm-product-strategy（12 / 5） 战略画布、愿景、价值主张、Lean/BMC 画布、定价、SWOT/PESTLE/波特五力/Ansoff 3. pm-execution（16 / 11） 日常执行核心：PRD、OKR、成果导向路线图、冲刺/复盘、发布说明、利益相关者地图、用户故事、9 种优先级框架、红队压力测试 4. pm-market-research（7 / 3） 用户画像、细分、旅程地图、TAM/SAM/SOM、竞品分析、情感分析 5. pm-data-analytics（3 / 3） 自然语言转 SQL、同期群分析、A/B 测试统计显著性分析 6. pm-go-to-market（6 / 3） 滩头市场、ICP、增长飞轮、GTM 模式、竞品作战卡 7. pm-marketing-growth（5 / 2） 定位、价值主张、命名、北极星指标 8. pm-toolkit（4 / 5） 简历评审、NDA/隐私政策起草、校对 9. pm-ai-shipping（2 / 5） 最有特色的一个：为" vibe-coded 代码"补齐可审查性——逆向生成系统文档、静态安全/性能审计、测试覆盖映射，专门发现"文档说的与代码实际做的之间的差距"这类通用扫描器漏掉的问题

Yes, the rumors are true: The more powerful Notebook experience is now 100% rolled out to ALL Pro users. You might be asking... How exactly do I use it? Here are a few queries to try (ofc dependent on your sources). Hot Tip: bookmark this post! Free users too 😉 For Learning: "Create 5 quizzes of ascending difficulty focusing on a different topic from my sources" "Turn my raw lecture notes into a formatted PDF study guide complete with a 5-question practice quiz." "Add all of the URLs from this class syllabus as sources" For Business: "Calculate revenue growth across each product line and plot the trends" "Read our marketing brief, search the web for competitors, and recommend how we should tune our messaging" For Personal: "I uploaded a bunch of receipts from our kitchen renovation, make a spreadsheet to track all the work and costs" "Help me analyze this property purchase. Look up recent market performance in the neighborhood, predict trends, and make a spreadsheet to model all the data you find"

DeepSeek-V4-Flash-DSpark has now completed the r0b0bench core-subset protocol on 2× NVIDIA GB10. ⚡ Quality • GSM8K: 95.0% • HumanEval pass@1: 90.9% • ARC-Easy: 96.0% • IFEval lightweight: 79.5% • BFCL multi-turn: 75.5% Performance • Dedicated C1 decode: 79.2 tok/s • Aggregate output throughput: C1 86.9 · C2 145.9 · C4 239.3 · C6 337.8 tok/s • TTFT mean: 221.9 ms • ITL mean: 68.9 ms Long context Needle retrieval passed at 25%, 50%, and 90% depth across a full 1,048,576-token context. ✅ 0 infrastructure errors ✅ Runtime gate passed ✅ 5/5 canaries passed ✅ Package-backed, reproducible result freeze ✅ Valid for publication These are measured results—not projected capabilities or marketing claims.

Big news: Qwen3.8-Max by @Alibaba_Qwen just landed at #4# on the Frontend Code Arena leaderboard with a score of 1,668! With 1,668 points, Qwen3.8-Max is trailing only Claude Opus 5 (Max) with 1,705 pts and Kimi K3 (Max) with 1,676 pts, on par with Claude Opus 5 (High) with 1669 pts. It also ranks high across all domains: #2# in Consumer Product #3# in Brand & Marketing, Reference-based design, Gaming, and Content Creation Tools #4# in Data & Analytics #5# Simulations Dig into the thread for more details and to see how it also performs on real-world tasks in the Text Arena. Congrats to @Alibaba_Qwen on this huge release!

🔥保姆级教程来了！无限画布工作流复刻爆火口哨舞微俯视视频 手把手拆解全流程，零门槛直接抄作业 AI 视频 + 电商带货通用，看完就能上手 Step-by-step tutorial: Create viral whistle dance top-down video with infinite canvas workflow. Full walkthrough for beginners, perfect for AI video creators & e-commerce marketing. #无限画布# #无限画布工作流# #口哨舞# #ai视频生成# #AI电商# #InfiniteCanvas# #AIVideoTutorial# #WhistleDance# #AIGC# #EcommerceAI#

Either @AnthropicAI is terrible at building sandboxes... or excellent at marketing. (or both) But enough with the “we created a hacking monster” games. Do it for real. I put this in an @BitGo wallet for you. Go get it. 100 BTC: bc1qg4jcyumevszta3rs869v9jrf6rz9z360svp03jsl5xcryfd7xqvs4hurnq

DeepSeek-V4-Flash-High by @deepseek_ai is #7# overall in the Frontend Code Arena with 1,586 pts! It’s #3# among open. In categories it’s #4# in Consumer Product, #6# in Reference-based Design, Data & Analytics, Gaming, and #7# in Brand & Marketing. This is an impressive improvement from DeepSeek-V4-Flash-High-Preview, a +154 pt jump. Even more impressive is the jump from DeepSeek-V4-Pro-Preview, a +121 point improvement.

Watch the full recording of our Q2 2026 earnings call. Prepared Remarks 00:00:00 - Welcome 00:01:20 - 843,775 BTC, 203,683 sats per share, $17B raised year to date, and Strategy’s position as the largest institutional holder of Bitcoin 00:03:27 - Q2 balance sheet: $49.7B of digital assets, $3.75B current USD reserve, lower debt, higher preferred equity, and strong stress-case coverage 00:08:57 - Bitcoin KPIs: 4.5% BTC Yield, 29,997 BTC Gain, and ~3.6x growth in Bitcoin per share since 2020 00:12:47 - Q2 execution: higher Bitcoin holdings, lower debt, larger USD reserves, stronger Bitcoin per share, and active capital management 00:15:03 - Strategy as a net buyer of Bitcoin and net issuer of Digital Credit: 48x more BTC bought than sold and 300x more Digital Credit issued than repurchased 00:18:47 - Returning $STRC to $99–$100 through USD reserves, Bitcoin monetization, repurchases, dividend management, and disciplined issuance 00:24:50 - Bitcoin liquidity: why Strategy’s bitcoin purchases and sales are not material to overall Bitcoin trading volume 00:33:03 - Bitcoin as Digital Capital: website metrics, the 200-week moving average, current headwinds, Bitcoin Dominance, banking adoption, and security coordination 00:44:08 - $STRC as flagship Digital Credit: liquidity, lower volatility, market depth, yield, investor base, path to par, and updated credit metrics 01:05:04 - Equity framework: hurdle rate, breakeven rate, floor rate, market skepticism, $MSTR outperformance, franchise advantages, and Strategy’s long-term ambition Q&A 01:19:31 - Why Bitcoin-backed borrowing is not currently the preferred path to build USD reserves 01:23:11 - Why Strategy is consolidating around $STRC instead of creating more instruments or selling volatility 01:40:37 - Equitizing, repaying, or refinancing convertible debt 01:43:18 - Covered calls, cash-secured puts, Digital Credit, Bitcoin as money, and marketing products to the 99% outside Bitcoin 01:59:22 - USD reserve minimums and the path to $STRC trading at par 02:00:55 - Amplification, USD/BTC reserve mix, and countercyclical capital management 02:12:04 - Why Strategy does not intend to issue $STRC below par 02:20:34 - Lessons from 2022 and 2026, tokenized securities, Digital Money, and the June 26 dislocation 02:34:54 - Closing remarks

Thời đại của Brand Marketing đang chuyển dần sang Human Marketing. Người dùng muốn nghe một con người kể chuyện hơn là một thương hiệu tự kể về mình. #thoavu# #founderfullstack# Ms. Thoa Vũ Co-founder Soultech Vietnam Co.,LTD