Delta衡量期权价对标的价格变化的敏感度；Gamma衡量Delta变化的速度；Theta反映时间流逝造成的价值损耗；Vega反映隐含波动率变化对期权价的影响。

1、leyuapp 据转会专家罗马诺的独家消息，意甲豪门国际米兰已经率先迈出实质性一步，与热刺进行了初步的试探性接触，以了解球员的转会可能性。

这支加纳的建队思路非常清晰，由奥波库、阿杰蒂领衔的防线足够强硬且不惧对抗；前场埋伏着苏莱曼纳和塞梅尼奥这样的“超跑”。leyuapp说实话，卫冕将非常困难。

2、世界杯又变欧洲杯？8强至少5队来自欧洲，另外还有2队可能晋级

2026世界杯决赛，西班牙vs阿根廷，欧洲和南美的裁判因涉及决赛球队所属大洲，最好的选择是均被排除在外，而在亚洲、非洲、中北美等区域的裁判中进行筛选。

3、姜凯华当选2026怡宝中乙联赛6月最佳青年球员

阿根廷队在世界杯半决赛2比1逆转击败英格兰队后，球员们在场上展示了一面涉及马尔维纳斯群岛的旗帜，可能因此面临国际足联的纪律处罚。

4、安宁疗护纳入北京医保，日均200元覆盖沟通陪伴、临终关怀等

沿着这条路，他们先后构建了Fysics物理引擎、MoziSim具身仿真训练平台、OmniFysics全模态物理AI基础模型、Fysiverse物理世界模型、 FysiData物理 AI 数据工厂和FysicsWorld/Eval评测基准等，形成了从引擎到应用层的完整技术栈。

5、以为能吃，其实可能“有毒”的7种食物！提醒爸妈一定要扔

美加墨世界杯D组第二轮，东道主美国队将在西雅图主场迎战澳大利亚队。

据天空体育记者Rob Harris证实，英足总已无法就宽萨的两场禁赛提出上诉，而国际足联（FIFA）在处罚公告中，也绝口未提此前让巴洛贡获得“红牌缓刑”的第27条。

宁德时代与比亚迪合计仍占68%份额，二线阵营中的国轩高科、亿纬锂能、蜂巢能源、楚能新能源正在加速追赶。

6、吉利出口破10万的背后，是一场来自下个时代的全球预演

于是，2026年的WAIC上，三路人马拿出了三种完全不同的解决方案。

从“生成视频”到“构造世界”：智象未来的棋盘比你想的更大 如果你觉得已经很厉害了，那我要告诉你，智象未来的想象空间不止于此。

7、跨越成长与山海，这场阅读大会让“共生之美”温暖绽放！

本次大会期间，联合利华还围绕“AI for SASSY Innovation”举办了圆桌论坛，邀请来自科研机构、高校、科技企业及产业界的专家代表共同探讨AI如何赋能消费品创新。

每一道，都需要不同的专用设备。

8、掏耳朵一时爽，代价可能比你想的大！

两队在1/16决赛都经历了120分钟苦战，体能消耗巨大。

但最终的结果是：Anthropic找到了生产力这条线，将愿景、技术、组织文化和商业模式完美串联起来了。

The crowded, snake-like queue at WAIC led to a single attraction: an AI guitar capable of "improvisational jamming." During the 2026 World Artificial Intelligence Conference (WAIC), the annual updated edition of the Tianpule AI Guitar made its public debut. Over the same period, Quwan Technology, the parent company behind the instrument, released the Tianpule Large Model V4.7, pushing music-focused foundation models toward a new frontier where they can "understand revision feedback." It was unmistakable to anyone on the floor that this year’s WAIC generated unprecedented buzz. Yet the AI industry itself, having weathered countless hype cycles and technical trends, is bidding farewell to the hollow "compute arms race." The commercial value of large models is finally being realized within vertical, domain-specific scenarios. Industry observers are increasingly turning their focus toward a path distinct from general-purpose large language models: vertical integration. Compared with tech giants basking in haloed reputations and star AI startups boasting eye-watering valuations, vertical AI developers have quietly stepped into the center stage of the AI era. Grounded in user scenarios and equipped with self-sustaining revenue capabilities, they have emerged as pragmatic, viable models for the industry. By anchoring its strategy strictly on AI music and AI voice, and extending those capabilities into AI hardware, Quwan Technology offers a compelling case study of this trajectory. Bidding Farewell to the Compute Arms Race: A New Narrative in Vertical AI Commercialization The standard competitive posture in the large-model arena has long been a classic arms race: parameter count, context window length, and multimodal capabilities served as explicit metrics of a company’s worth. By this year, however, this model of horizontal expansion has hit diminishing marginal returns. On one hand, general-purpose models suffer from worsening homogeneity, and products that rely solely on model API outputs struggle to build user stickiness. On the other hand, as AI penetrates deep into everyday life rather than acting merely as a productivity tool, technology must be embedded into concrete scenarios to solve real pain points. Quwan Technology abandoned the illusion of building a jack-of-all-trades general platform, choosing instead to double down on two vertical domains characterized by high emotional value and dense interaction: AI music and AI voice. Though operating in different tracks, their underlying logic is remarkably similar: humanity’s most natural, non-textual modes of expression have long been constrained by professional barriers, and both possess an inherent capacity to stretch from digital content into physical hardware. The foundation of Quwan’s AI music ecosystem is the proprietary Tianpule Large Model. Steering clear of open-source fine-tuning, Quwan built the model from scratch to optimize for real-time interaction, laying the groundwork for a conversational creative experience powered by AI agents. During WAIC 2026, Quwan rolled out Tianpule Large Model V4.7, making AI-generated music far easier to control and iterate upon. Across two evaluation frameworks, Meta Audiobox Aesthetics and SongEval, V4.7 earned high marks in metrics such as content enjoyment, memorability, and vocal clarity, while ranking in the top tier for musicality, coherence, and naturalness. V4.7 powers Tunee, Quwan’s conversational music creation agent. This "conversation as creation" interaction model represents a true breakthrough in its capacity for proactive co-creation. Moving beyond passive "one-click generation" tools, Tunee acts more like a patient, music-savvy collaborator. Since its official launch last September, Tunee’s official website has maintained over a million monthly visits, making it one of the fastest-growing breakout products in China’s AI agent space. What has truly commanded the industry's attention, however, is the Tianpule AI Guitar. As a pioneer in the global generative AI guitar category, it was the first to embed an AI music foundation model into a physical guitar, enabling people without musical training or theory knowledge to experience the joy of playing and composing music. At WAIC 2026, the new Tianpule AI Guitar placed heavy emphasis on its core feature introduced this year: "AI Improvisation." Users can generate personalized music directly on the instrument and jam along, drastically simplifying the complex journey from composition to performance. Coupled with features like AI score transcription and hum-to-song conversion, complete beginners can quickly begin playing and writing music. The industrial significance of the Tianpule AI Guitar extends far beyond consumer electronics. It frees generative AI from behind the glass screen, turning it into a physical object that can be touched, plucked, and felt through resonance. For professional musicians, it serves as a catalyst for inspiration; for novices, it is the first key to unlocking the world of music. As Jasper Jia, Vice President of Quwan Technology, put it: only when ordinary people can use music to express emotions and document their lives as naturally as taking a photo or shooting a video will music truly become an inclusive medium for creation. The physical medium of the guitar allows AI music to step outside smartphones and laptops, truly weaving itself into everyday life. Quwan Technology’s vertical integration has constructed more than just a tech flywheel—where the model grants intelligence to the application, and the application breathes fresh experiences into the hardware. Simultaneously, the hardware feeds real-world user interaction data back into the model, establishing a system-level moat. In truth, AI has already made creation ubiquitous. But how to make good content visible, scalable, and profitable has become the stark reality facing the second half of the AIGC race. Quwan Technology’s answer to that reality is AI voice. In recent years, the overseas expansion of Chinese film and television productions has accelerated rapidly. Dubbing and localization, however, have remained a persistent industry pain point. High quality, high efficiency, and low cost form a classic impossible trinity. Against this backdrop, Quwan Technology collaborated with The Chinese University of Hong Kong, Shenzhen, to develop the MaskGCT voice foundation model. On October 24, 2024, MaskGCT was officially open-sourced to the world via the Amphion framework. Across multiple text-to-speech (TTS) benchmark datasets, MaskGCT achieved state-of-the-art (SOTA) performance, even outperforming human baselines on select metrics. All Voice Lab (Quwan Qianyin) represents the commercial application built atop the MaskGCT model. As a one-stop video translation and AI dubbing platform, All Voice Lab slashes AI translation and dubbing costs by 90% compared with traditional human labor while boosting speed more than 50-fold, handling a monthly translation volume of up to 500,000 minutes (roughly 5,000 drama episodes). Since its launch, All Voice Lab has assisted over 100 film, TV, and animation clients in solving localization hurdles. It processes nearly 10,000 short drama episodes per month across single languages for overseas markets, reaching over 30 countries and regions globally and helping clients boost monthly YouTube channel revenue by 10% to 30%. Driven twin-engine style by AI music and AI voice, Quwan Technology is transitioning into a "new infrastructure" provider for the entertainment industry. It proves that vertical AI companies do not need to serve everyone; by achieving excellence within targeted vertical domains, they can unearth vast commercial value. From Mobile Voice to AI Creation: Quwan’s 12-Year Evolution of "Interest" The first half of Quwan Technology's journey followed a textbook mobile internet success story. Its flagship product, TT Voice, evolved from a simple voice tool designed to help gamers find teammates into an interest-based social platform boasting over 200 million registered users. When the AI wave swept the globe, the company pivoted proactively, laying early groundwork in AI as far back as 2021 to secure its current position as a leader in AI entertainment. The essence of the company’s 12-year evolution represents a strategic leap from "connecting interests" to "creating interests." Yet the underlying logic running through it all has always been a focus on "interest" and a "human-centric" philosophy. For instance, TT Voice’s early positioning was remarkably simple—a "gaming walkie-talkie." But what fundamentally transformed founder Song Ke's understanding of the product’s value was the spontaneous behavior of its users. He noticed that many users did not leave the voice rooms after finishing their games; instead, they stayed to sing, chat, and share their lives. He realized then that while the platform ostensibly solved an efficiency problem ("how to play games better"), it was actually fulfilling an emotional need ("how to connect better with people"). Grounded in this insight, TT Voice quickly evolved from a tool into a community. Beyond gaming matchmaking rooms, it rolled out diverse interest spaces including singing rooms, chat rooms, and audio-visual rooms. In cultivating the social space, Quwan Technology identified an emerging industry trend: the new generation of users was no longer satisfied with merely consuming content; they craved autonomous creation and self-expression. This was no mere hypothesis. On the TT Voice platform, users were already looking beyond finding gaming buddies—they were singing in voice rooms, sharing life moments in chat rooms, and expressing themselves in communities. As AI technology matured, these deeper desires could finally become reality. In the past, completing a song—from lyrics and composition to arrangement, mixing, and recording—demanded specialized skills at every step. Many possessed creative sparks or deep emotions but struggled to translate the melodies in their heads into finished works. In 2024, the team set out from scratch to build "Tianpule," a multimodal music generation model, choosing a self-developed path distinct from open-source fine-tuning. In the AI voice domain, Quwan partnered with CUHK-Shenzhen to open-source the MaskGCT voice model. Quwan develops both AI music and AI voice; it launches AI hardware while maintaining an interest-based social platform with over 200 million registered users. While its business scope appears broad, it is built upon a single, continuously expanding set of core AI interaction capabilities. Across its distinct business lines, Quwan serves diverse sectors—music creation, content globalization, public services, and social networking. From an architectural standpoint, however, they all draw from the same underlying AI interaction capability. Looking back at Quwan Technology's 12-year trajectory, a clear thread emerges: the first half was about "connecting interests"—using interest communities to bring together young people seeking belonging; the second half is about "creating interests"—using AI to lower creative barriers so anyone can convert ideas into digital assets and passion into sustainable expression. Sustaining this arc is not the pursuit of tech trends, but an unwavering understanding of "interest" and "people." Whether with TT Voice or AI music, Quwan’s ethos places user insight ahead of technical R&D. This product philosophy—starting with the human element and designing backward from the ultimate user goal—ensures that technical iterations always revolve around real-world scenarios rather than descending into pure technical rivalry. Moving from "connecting interests" to "creating interests" is not only Quwan Technology’s internal evolution, but also an answer to how technology can truly serve human beings. No matter how technology changes, the essence of business remains constant: to understand people, serve people, and empower people. Conclusion Twelve years ago, Quwan Technology answered one question: How do you help people who love playing games find one another? Twelve years later, it is answering another: How can every ordinary person be given the chance to create their own work and express their unique passions? While the industry remains locked in fierce rivalry over conventional paths—whether single-point tools or general-purpose platforms—Quwan Technology has used vertical integration as an anchor to build a closed-loop "Model-Application-Hardware" ecosystem across AI music and AI voice. This is a direct response to the true nature of AI commercialization: technology can only weave itself into the fabric of everyday life and form a sustainable business model when it penetrates all the way through foundational algorithms, intermediary interactions, and physical hardware devices. (This article was first published on the TMTPost App; author | Li Chengcheng)消费动态 耐克将终止滔搏、宝胜国际在中国内地的线上授权 7月22日，Nike在中国的两家主力经销商：滔搏、宝胜国际发布公告确认，2027年1月1日起，将全面终止 NIKE产品在中国内地线上平台的销售。

9、8500 万重磅报价！利物浦截胡世界级边锋，阿森纳死磕抢人

但我们没能做到这一点。

在社交网络上，“图赫尔真的是追着凯恩杀”成为了最热门的调侃与控诉。

10、推广

2026世界杯接近尾声，仅剩下最后两场比赛，决赛以及季军战，西班牙和阿根廷争夺冠军，法国和英格兰争夺季军。

从业者还有一个疑问，如何平衡风险和国资属性？ 54号文在砍断“明股实债”的同时，也提出了建立“尽职免责与容错机制”。

1、日本研究：血管变硬，问题出在早餐上？提醒：4种早餐应撤下餐桌

成立于2015年的觅光，最初以智能化妆镜切入市场，凭借差异化定位和小米生态链资源，觅光较早完成了品牌认知积累。

2、全球连线｜国际射联主席罗西：力推奥运首金重回射击

尽管塞内加尔在1/16决赛中2-3惜败于比利时，遗憾止步32强，但马内用尽最后一丝力气，完成了对国家队使命的交代。

3、法国vs英格兰前瞻：世界杯季军战不那么重要，两队轮换踢对攻大战

纵观整个职业生涯，C罗税前总收入约21亿美元，超越梅西的约18亿美元，也高于伍兹近20亿美元的职业生涯总收入。夜班遇到心率临界值，这个工具让我几秒内拿到了决策依据阿根廷最大的隐忧就是体能与年龄结构。

4、记者：埃梅加在友谊赛腿筋受伤，至少无法参加在澳洲的比赛

西班牙将在决赛中对阵英格兰或阿根廷。

5、刚一走就爆发！国安弃将新东家首秀策划绝杀，离队并非因为没能力

这个时候，飞轮效应就开始显现威力了。

6、羽毛球营销案例｜构建羽毛球生态闭环，印尼国家银行打造长效共生的营销标杆

曦智科技方面透露，截至目前，该光跃超节点解决方案已实现了数千卡商业化落地，建成了国产第一个光互连光交换超节点集群。

Canalys统计显示，2026年第一季度，中国AI手机出货量同比暴增320%。

音乐是乐园最重要的存在。

7、一年在欧洲暴增1.5倍！欧盟坐不住了：将对中国插混车加税

由此，下游厂商和市场的产生抵触情绪几乎已是必然。

他进一步解释：“领先后，我们没有继续追求第二个进球。

8、被穆里尼奥双杀的孔蒂，将接过蓝衣军团教鞭，并把卢卡库还给对方

可到了用户手里，感知却是另一回事。

月薪过万的实习依然是少数。

AI推理对硬件提出三项核心需求：更高的每秒查询率、更长的上下文窗口，以及更多的推理步骤和智能体循环。

他多次公开表达对巴萨的倾慕，不止一次暗示渴望穿上红蓝球衣。