Nature’s little treasure✨ Red-brown mushroom, hiding in the forest, full of fresh wild vitality. 大自然的私藏宝藏 棕红蘑菇，隐匿林间，满载原生态山野灵气

⚔️ BetBoom Team vs Natus Vincere ⏰ AM May 17 💵我的选择 : Over 2.5 、BetBoom +1.5 （保守正EV最高） BetBoom最近状态火爆，连爆Vitality和paiN，地图池（Dust2/Nuke/Anubis）很硬，BO3方差下有爆冷潜力。但NaVi整体实力+经验碾压，H2H空白+排名差距大，市场给NaVi 72%+偏高。 #CS2# #IEMAtlanta# #Polymarket# #BettingTips#

#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#

估值达13亿美元的AI视频公司Higgsfield发布了名为Virality Predictor的新工具。 该工具允许用户上传最长15秒的视频片段，随后输出该内容的病毒传播潜力、钩子分数、保持率，并生成反映视觉皮层和语言网络等区域反应的脑部激活热图。 这一动作直接将视频发布前的测试环节从人工经验转移到了算法模型上。 该工具的推出建立在Higgsfield极端的增长曲线上。 这家由前Snap生成式AI负责人Alex Mashrabov于2023年创立的公司，在2026年1月完成了由Accel领投的8000万美元A轮延期融资，总计1.38亿美元融资将其推至13亿美元估值。 公司在推出产品后的9个月内实现了2亿美元的年度经常性收入（ARR），平台85%的使用量来自社交媒体营销人员。 Virality Predictor不仅提供基于网页的访问，还开放了MCP和CLI接口，允许开发者将这套评估系统嵌入现有的自动化工作流中，并配合平台的Ad Reference功能直接生成改进版视频。 官方演示中，一段猫咪视频精确输出了74/100的参与度数据。 过去需要数周时间、耗资巨大的焦点小组测试和A/B测试，现在被压缩为几秒钟的API调用。

Damn，刷到这个帖子我瞬间愣了，AI迭代速度已经疯了，有点跟不上节奏了🤯 我一开始以为这又是一个生成视频的新工具，点进去发现根本不是一回事。 Higgsfield昨天刚发的Virality Predictor，直接把脑科学塞进了内容创作流程。 上传一段15秒以内的视频， 几秒就能给你出完整的人脑反应报告。 整体病毒潜力， 前3秒钩子得分， 全程注意力保持曲线， 还有彩色的脑区激活热图， 告诉你观众的大脑哪部分被点亮了。 最狠的是它和Claude的打通， 可以一句话生成500个产品视频变体， 然后全部丢进预测器自动筛掉垃圾， 只放大高分版本直接投流， 从0到已验证高潜力广告，全程自动化。 它不是看你视频过去像不像爆款。 而是用AI模拟700多个人、500多小时fMRI数据训练出来的人脑，预测你看到这段视频时的真实神经反应。 我们以前做电商短视频， 拍，剪，烧钱测，看数据，迭代， 测试成本是真金白银的广告费。 现在做电商短视频， 生成，预测，只投高分， 测试成本只是一点token费。 最牛逼的地方在于 大脑亮不等于一定爆， 一些高认知负荷的内容会让大脑很活跃，但普通人刷到就会直接滑走。 真正的病毒性，只看前3秒钩子得分和视觉拉力。 和你有没有深度，有没有道理，一点关系都没有。 也就是说以前爆款靠灵感， 现在爆款靠系统。 所以当别人还在熬夜想创意的时候， 你已经用AI筛完了500个版本， 知道哪10个能爆。 而且工具越强，越考验人的判断， 它能帮你砍掉80%的无效创意， 但选什么方向，解读什么结果， 永远是人说了算。 我感觉2026年的电商短视频战场， 已经不是比谁创意好， 而是比谁能用AI先把非爆款干掉， 所有还在靠感觉做内容的人可真的要跟不上了。 #AI工具# #短视频创业#

据《华尔街日报》调查报道，预测市场平台 Polymarket 被指通过付费创作者发布模拟交易和虚假获利视频，以在社交媒体推广其产品。WSJ 称，相关创作者使用接近 Polymarket 真实网站的模拟站点拍摄交易视频，部分内容展示的高额获利并未真实发生，部分视频还会送交 Polymarket 审核。报道称，Polymarket 通过营销公司 Virality 管理网红推广活动，在其美国服务受限 / 国际用户定位背景下，相关活动仍被指明确触达美国用户。WSJ 还称，Polymarket 与网红 Adin Ross 保持数百万美元级推广合作，以推动用户参与。