Coca cola 🆒 Seedance 2.0 prompt 👇 【风格】潮流饮料变装广告（Fashion Transition Ad），竖屏9:16，真实摄影（Photorealistic）+ 平面抠像拼贴风（Cutout Collage Graphic），丝滑卡点变装，8K超清，可乐红#E61A27#/纯黑/纯白三色体系 【时长】15秒 【场景】开场为纯白摄影棚背景；第2秒起切换为可乐红纯色背景+画面中央巨大白色曲线可乐瓶形抠像框（经典弧线瓶身剪影），背景压一层深红色"COLA"斜体大字；全程无真实品牌logo 【角色】主角@图片1（保持参考图容貌与发型；开场穿黑色插肩长袖+黑色阔腿短裤；各段变装均为红黑白配色） [00:00-00:02] 镜头1：拧盖卡点（White Studio Open） 纯白背景中景：主角@图片1手持无标识可乐瓶（深棕色汽水+红色瓶标），双臂交叉做两次卡点拧盖动作，第三拍"啵"一声拧开瓶盖，气泡嘶声升起。 音效：两声节拍音、瓶盖"啵"、碳酸气泡嘶嘶声。 [00:02-00:03] 镜头2：一口切世界（Snap Transition） 她仰头喝一口，吞咽瞬间背景"啪"地整体切换：可乐红背景+白色瓶形抠像框罩住全身，深红"COLA"斜体字横贯背景。 音效：吞咽声+重低音"咚"一声定格。 [00:03-00:07] 镜头3：变装1·街头节奏（Transition Pop / Floating Props） 瞬切变装：反戴红色棒球帽、头架白色墨镜、黑色马甲叠穿红色背心、白底黑波点裤袜+黑色短裤、红色厚底鞋，手持可乐瓶。 她在瓶形框内做轻快跳跃舞步：单脚跳、扭胯、举瓶摆拍。 周围漂浮红白配色道具：磁带随身听、拍立得相机、头戴耳机、采样器，白色3D立体字"气泡拉满"分布四角。 音效：卡点节拍+道具飞入的"咻咻"声。 [00:07-00:10] 镜头4：变装2·活力当下（Kick Jump Pose） 瞬切变装：白色棒球帽、白T印红色图案、红黑外套系在腰间、黑色短裤、红色高帮帆布鞋。 她做踢腿跳跃定格姿态，随后落地转身摆胯。 漂浮道具换成：红色帆布鞋、白色鸭舌帽、红白相机、墨镜，3D立体字换为"痛快当夏"。 音效：节拍延续+跳跃落地"砰"。 [00:10-00:13] 镜头5：变装3·夏日漂浮（Floating Summer） 瞬切变装：白色一字肩短上衣、红白条纹短裤、赤足，身体呈漂浮泳姿斜躺在瓶形框中，手持可乐瓶。 周围漂浮：红白条纹泳圈、小黄鸭、红色人字拖、白色网兜包，3D立体字"离开地心引力"。 音效：节拍转轻盈+水泡"咕噜"声。 [00:13-00:15] 镜头6：产品海报收尾（End Card） 瞬切至海报画面：红黑斜切双色背景，中央一瓶无标识可乐瓶特写（深棕汽水、红瓶标、白色"COLA"字样），瓶身挂着细密水珠。 白色斜体大字从两侧弹入："可乐爽人瓶"，下方一行小字"#爽出你的痛快##"。 画面定格，不淡出。 音效：最后一记重音+气泡嘶声收尾。

兄弟们有人真的把 Claude 搭成了一家公司。 不是比喻，是真的按组织架构图塞了 42 个技能。 开发部：Superpowers、Context7、Skill Creator、MCP Builder、Webapp 测试、Claude-Mem。 设计部：UI UX Pro Max、Taste、前端设计、Transitions、Web artifacts、品牌指南。 营销部 45 个技能，社媒 17 个，财务 8 个，小企业 31 个，法律 9 个。 文案、SEO、线索磁铁、Reels、缩略图、报表、对账、审计、合同、NDA、合规，全给你分好了。 最离谱的是，每个技能都是真的，能直接装。 这已经不是用 Claude 了。 这是在给 Claude 招了一整栋写字楼。 结构看下图👇

⚡ 又发现一个前端动画神器，几行代码就能让网页元素丝滑动起来，还能跑满 120 帧。 GitHub 狂揽 32.5k star，它的前身就是大名鼎鼎的 Framer Motion，现在改名 Motion，连 Vue 也一起支持了。 有了他，前端再也不用手写一堆 CSS keyframes 和 transition，缓动曲线调到头秃。 一句 就搞定网页入场动画、手势反馈滚动联动，弹簧动画、布局过渡。 它把 JS 的灵活和浏览器原生 API 拼在一起，动画走 GPU 加速，所以才跑得动 120 帧不卡顿。 部署也很简单，npm install motion 就能用。 GitHub：

Halborn 要审 Alkanes，而且明确说是 Bitcoin metaprotocol + indexer，这个定性我觉得很关键。 BTC L1 资产协议最难的地方，不只是合约逻辑本身，而是不同节点能不能从同一段 Bitcoin 历史里 replay 出同一个协议状态。 这也是我最近在本机跑 Bitcoin full node + Alkanes full index 的原因。 我不想只看 UI 或第三方 API 给出来的结果。 我更想自己从原始链数据往上验证 state transition、trace、余额、失败调用和流动性变化。 如果 BTC DeFi 真的起来，优势不会只是“谁先发现下一个 ticker”。 真正的壁垒会是：谁拥有自己的数据层。

Aztec 似乎又被盗了，其 Private Rollup Bridge 0x737901bea3eeb88459df9ef1BE8fF3Ae1B42A2ba 有三笔可疑利用（总约 215 万美金）： 1,158 ETH 150,000 DAI 0.46963295 renBTC 资金主要都在： 0x6952d9246e9aFE8B887B2877225163436F78E97F 其中部分 ETH 转移到： 0x15930a0fef3421f48c6553b5691682cc1b22edb3 0x33d6a0d9bc210e823e043d604179cd844eb467df 攻击地址 Gas 来源 初步分析原因：Aztec RollupProcessor 的 Escape Hatch 在开启窗口内允许任意 caller 提交一个可被 verifier 接受的 rollup proof。合约在 processDepositsAndWithdrawals() 中只根据 proofData 里的 public output 字段执行 L1 资产释放：当 inner tx 满足 proofId == 0 且 publicOutput > 0 时，RollupProcessor 会调用 withdraw(publicOutput, outputOwner, assetId)，直接从自身托管储备中向 outputOwner 支付对应资产。 该攻击地址连续构造/提交 escape-hatch proofs，使 proofData 中的 inner tx 声明： - assetId = 0，publicOutput = 1,158 ETH - assetId = 1，publicOutput = 150,000 DAI - assetId = 2，publicOutput = 0.46963295 renBTC 由于这些 withdrawals 被 proof/state transition 接受，RollupProcessor 分别从自身 ETH / DAI / renBTC 储备向攻击者地址释放资产。 具体信息看看 @aztecnetwork 怎么说。cc @SlowMist_Team @MistTrack_io

个人感觉，过度的数学竞赛训练确实容易形成几种难以逆转的思维模式。 之前听一位同学说，参加太多的数学竞赛，做了太多的竞赛题目，可能是优势，也可能是劣势，毕竟思维一旦被约束形成思维定势，那将会很难改变。 正如数学家格罗滕迪克著名的坚果比喻。竞赛就像用锤子猛力击碎坚果，而真正的现代数学研究是把坚果浸泡在理论的大海里，直到壳自然融化。 现代数学研究，往往需要阅读上百页推导、花几个月甚至几年去建立一个概念框架，早期几乎没有任何解题的即时反馈。 可竞赛题必然存在优雅的解答；而研究面对的命题可能根本就是错的，或者现有工具完全无法回答。这种面对未知和漫长无果的抗挫力，是竞赛无法训练的。 虽然 ，IMO 并不等于研究，但我们确实看到像陶哲轩、彼得·舒尔茨、玛利亚姆·米尔扎哈尼，还有如今的邓煜等菲尔兹奖得主都是 IMO 金牌得主。 但我认为，这背后的关键在于转向的时机与能力，需要自我开悟与高人点拨。 IMO 顶级选手的数学直觉、逻辑密度与专注度极高，这些是做任何深奥研究的基础硬件。 可Early Transition也是同等重要。 像舒尔茨或陶哲轩，他们在极年轻的时候就已经不再满足于初等竞赛技巧，迅速进入现代代数几何、分析学等高等领域，完成从解题到建构的蜕变。 竞赛是短跑，研究是远征。

今天，我们一直在跟 @blockaid_ 密切合作，详细调查昨晚发生的针对 @humafinance v1 协议的漏洞攻击事件。Blockaid 的事件分析报告非常详尽（链接见第一条回复），在此不做赘述。 以下是事件 TL;DR 及我们从中学到的关于系统架构和运营的经验教训。 👇 TL;DR 攻击事件： 攻击者发现了智能合约中的一个漏洞，并从 Polygon 上的三个 v1 老池子中盗取了约 10.1 万美元的 protocol fee & pool owner fee。 用户资金： 用户资金没有受到任何影响。 风险隔离： 问题出在 Huma EVM v1 合约。与 PST 及 Huma 在 Solana 上所有的智能合约完全无关。 Solana 合约： Solana 上的程序采用了全面重新设计的架构，不包含此次被攻破的逻辑。 当前状态： 所有 v1 资金池均已暂停。 关键的经验教训：表面上看，这是 2023 年初上线的 v1 版本中的一个智能合约漏洞，但它凸显了在协议设计和运营方面的几个问题： 1. 不要把重要的状态转换（state transitions）混在有复杂逻辑的函数里 _updateDueInfo() 和 _getDueInfo() 计算到期款项和各类费用，是 v1 合约中最复杂的部分。将借款人状态转换嵌入到这些复杂函数中不是一个明智的选择。我们后来对这个设计也不太满意，在 Huma v2 智能合约的设计上放弃了这个方案，采用了更简单的架构。 2. 坚决剔除不必要的功能。 引入 requestCredit() 是为了支持未来的扩展，但在实际运营中从未用到过。非关键函数天生会受到较少的测试和安全审查，从而产生了不必要的攻击面。在发布前我们曾讨论过要不要把它拿掉，但当时认为没有大碍就保留了。如果某个函数不是必须，就不应该放进合约里。 3. 积极关闭不再使用的池子。 保留不再需要的旧池子会产生不必要的风险。今天，开发者和攻击者攻防双方都积极使用 AI，一些旧合约没用经过 AI 审计，可能会有更多的薄弱环节。关停 v1 资金池的工作此前已经在进行中，但没有放在最高的优先级，我们在这一点上应该更坚决。 这是一个惨痛的教训。我们应该好好从中学习，以不辜负这高昂的学费。在此分享我们第一时间的反思和经验教训，希望能帮助生态别的建设者，尤其是有老合约的项目方，能更有效地提高对黑客的防范。DeFi United, DeFi Strong! 🛡️

#为什么是中国# #WhyChina# The Global Logic of China's Economic Growth in the First Half of 2026: A 4.7% GDP Increase 2026年上半年GDP增长4.7%：中国经济增长的全球逻辑 According to the latest semi-annual report, China's gross domestic product (GDP) reached 69.6 trillion yuan, representing a year-on-year increase of 4.7% at constant prices, in line with the annual growth target. Against a backdrop of intertwined international complexities and volatilities, China's economic performance is commendable. Yet, a closer look at the data reveals that the logic underpinning China's economic growth is being reshaped. (I) At the Industry Level, Notable Highlights Emerge: First, new quality productive forces are being cultivated and strengthened at an accelerated pace.** In the first half of the year, industrial production grew robustly. The value-added output of the equipment manufacturing sector increased by 9.3% year-on-year, and that of high-tech manufacturing grew by 13.3%, both outpacing the overall growth rate of industrial output above a designated scale. This underscores a clear trend toward a high-end, intelligent, green, and integrated industrial structure. Looking at specific products, the output of 3D printing equipment, lithium-ion batteries, industrial robots, and other products emblematic of new quality productive forces surged. The average daily token call volume has reached hundreds of trillions, showcasing the vitality and potential of the digital and intelligent economies. Second, new growth drivers are accelerating to take on a leading role. Preliminary estimates suggest that new growth drivers—encompassing high-end manufacturing, the digital economy, and modern services—contributed over 40% to economic growth in the first half of the year. The economy's distinct shift toward a higher quality and more optimized structure is evident, and this overall trend is accelerating. For instance, industries related to artificial intelligence, such as integrated circuit manufacturing and intelligent vehicle equipment manufacturing, have all maintained high growth rates exceeding 30%, vividly illustrating the pace of China's industrial upgrading. Third, confidence on the investment front is on the rise. In the first half of the year, investment in high-tech industries grew by 4.6% year-on-year. Notably, investment in the manufacturing of aircraft, spacecraft, and equipment, computer and office equipment manufacturing, and information services grew by 23.3%, 8.1%, and 15.5%, respectively. Investment structure best reflects market expectations. The increasing "new economy content" in investments signals an acceleration in the replacement of old growth drivers with new ones. Investment in intellectual property products grew by 9.4%, indicating that enterprises are placing greater emphasis on R&D and innovation. This suggests that technological advancement is not simply about capacity expansion but about qualitative change driven by innovation. (II) Observing a Major Economy Requires Looking Beyond the Immediate Figures to the Long-term Trajectory. Behind the "new economy content" of the semi-annual report lies China's ongoing transformation from a global manufacturing hub to a global center of innovation. At the 17th Annual Meeting of the New Champions (Summer Davos), observers noted a new phenomenon: a host of unicorn companies are heading to China. They are establishing R&D centers, regional headquarters, and deeply integrating into China's innovation and industrial chains—shifting from "produced in China" to "created in China." So, why China? Economist Justin Yifu Lin, in his book *Demystifying the Chinese Economy, touched upon the theory of the "speed of technological change." He argues that the essence of the industrial revolution is not just the application of new technologies, but more fundamentally, the ever-accelerating pace of technological change. Since the mid-18th century, starting with the steam engine reshaping the textile industry, the snowball of technological change has grown, rapidly sweeping through industries like chemicals and automobiles, ultimately redrawing the geographical map of great power competition. Looking at China today, the trajectory of accelerating technological change is equally clear. A leading enterprise can drive an entire industry, which in turn can boost a whole region. These burgeoning industrial clusters, growing from saplings to forests, not only enhance production efficiency and invigorate market vitality but also effectively improve development quality and resilience. For example, specialized and sophisticated "little giant" enterprises above a designated scale in Beijing, through deep cultivation of innovation chains, supply chain collaboration, and international expansion, have become "connecting points" and "accelerators" for the dual circulation strategy. More importantly, emerging industrial clusters possess powerful spillover effects. The rapid rise of new energy vehicles is not only reshaping the automotive industry but also driving transformations in chips, software, and energy networks, allowing more sectors to gain value from efficiency improvements. The swift advancements in AI and biomedicine are sparking a "gentle qualitative change" in people's livelihoods, significantly enhancing the sense of fulfillment and well-being through smarter, more affordable products and more livable environments. (III) Looking from the First Half to the Full Year, China's Development Momentum Remains Positive. Of course, during this critical period of transitioning between old and new growth drivers, China's economy still faces lingering issues and new challenges. Some core areas are still grappling with "bottleneck" technologies, certain high-tech industries face external risks of "decoupling" and supply chain disruptions, and "involution"-style competition affects the new energy market ecosystem. However, most of these are issues arising from development and transition, and they can be addressed with effort. The supporting conditions and fundamental trends for long-term economic improvement remain unchanged. China's economic journey toward a newer, higher-quality model is itself a process of encountering new problems and solving them along the way. By maintaining confidence, proceeding steadily, and balancing both qualitative improvements and quantitative growth, China's industries are poised to be brimming with dynamism, and the Chinese economy will continue to advance steadily and sustainably. #China# #Jiangxi# #JiangxiEconomy# #世界经济看中国# #赣出新精彩#