综合来看，西班牙略占上风。

1、乐鱼体育网址 它也曾被专利悬崖逼到绝境，百忧解、再普乐、欣百达专利接连到期，营收断崖式下跌。

即使股票最终真的下跌20%，看跌方向正确，买方仍未必获得收益，因为实际波动没有超过期权价格预先要求的幅度。乐鱼体育网址这样的话，米兰的成本会低很多，也不用承担转会费的风险，踢得好可以考虑买断，踢不好就退回去，比较灵活。

2、《八仙！》奔20亿票房，“西游”外的下一个金矿是“新神话”？

而它们真正稀缺的地方，不是买设备的钱，而是没有退路：利用率不足，成本自己扛；系统出问题，团队自己上；客户任务跑不起来，没法把责任推诿给下游供应商。

3、官宣！曼城1.16亿镑签下英格兰国脚安德森，合同期至2031年

“对球迷，对我的球员，对这个国家，我想说，我们倾尽了全力。

4、历史罕见！NBA总裁催着詹姆斯做决定

在这场荡气回肠的逆转之战中，39岁的梅西再次向世界展示了何谓“球王本色”，他不仅用一记助攻双响导演了这场史诗级翻盘，更将自己在本届世界杯的数据定格在8球4助攻、独造12球的恐怖级别。

5、新援0分0板！辽宁输球仍遇三个不利，将迎恐怖赛程，杨鸣该调整了

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。

一份大厂实习经历会滚雪球：下一份实习更好找，校招简历直接过初筛，面试官高看一眼。

长鑫在HBM上的进展，决定了它能不能从吃剩饭变成抢主菜。

6、广东男篮好事成双，徐杰透露内线补强目标，潜力锋线有望续约留队！

先看光鲜的一面：总营收282.4亿美元，同比增长26%，超出市场预期。

此前由AI算力需求引爆的存储涨价潮沿着供应链层层传导，引发手机终端内存报价涨幅一度超过300%，受此影响，存储成本占整机物料成本暴涨至40%的千元机，成为各大手机厂商优先调整的产品线。

7、TA：西班牙夺冠实至名归；梅西在39岁依然令人惊艳

随着决赛对阵确定，三四名决赛阵容也随之落定。

托莫里的潜在下家目前尚未确定，英冠升班马考文垂曾表达兴趣，但遭到球员团队拒绝。

8、辛纳：我不为纪录而战，只想写好自己的故事

末轮两队直接交锋，胜者将锁定小组第一，打平则加拿大凭借净胜球优势头名出线。

第二层为待评估球员，包括亚沙里和穆萨，两人需在7月中旬集训开始后，接受阿莫林的直接考察。

对于任何有意引进这位前锋的俱乐部而言，这无疑是一份最具说服力的“验货报告”。

9、Maison Margiela这部电影，你看到了第几幕？

值得一提的是，伊布最亲密无间的挚友基洛夫斯基不会出任一线队的任何职位，将继续担任米兰未来队项目的负责人。

英雄所见略同。

10、谢晖：亚洲足球水平线提得最快；其实国足的出线概率没涨多少

对阵奥地利，零进球零助攻却被评为全场最佳——他站在那里，本身就是威胁。

2025年美国市场销售额接近70亿元，远超预期，公司已经在洛杉矶设立了美国区域总部，计划2026年门店破百家，还要开纽约第五大道旗舰店。

1、2026年广州市黄埔区第十二届科普讲解大赛举办

后来团队为了做其他项目买回 3D 打印机打样，才近距离进入用户论坛和社区，看到大量用户每天都在讨论如何把机器调好。

2、老同学聚会每人2200，我借口陪妻坐月子，次日得知17人被带走

根据机构预测，北方华创2028年归母净利润有望达到136亿元，对应当前股价的市盈率降至48.9倍。

3、为什么10万+的衣服还那么多人买啊？？？

“主体性”“边界感”“课题分离”，负责重新划分权力：什么是我的事，什么是别人的事，我能不能把生活拿回来。DOE x New Balance 2010「包容万象，海纳百川」三个变量或决定下半年方向 金价的下一个方向，或取决于三个关键变量。

4、真的敢说，丁俊晖赢下第一轮后放出大话，中国球迷听了心里发虚

从市场数据看，AI手机的前景确实令人振奋。

5、凯利20分艾斯丘20+4 马刺险胜太阳

在这个充满变数的转会窗，利物浦曾痛失萨拉赫与科纳特，但索博斯洛伊的续约，无疑是定海神针般的存在。

6、山东男篮继续调整，状元后卫被交易，刘毅离队，两大后卫有望加盟

综上所述，此役还是看好西班牙击败比利时晋级。

他手里攒了一笔钱，想找一门稳妥的生意。

不过迈尼昂与阿莱格里的门将教练菲利皮建立了深厚的工作关系和个人情谊，阿囧的离职让他备受打击。

7、她速度｜2026上半年女子榜单背后的故事

北交所的两轮问询已经精准地指向了这些问题。

把所有线索放在一起，谷歌面临的真正问题浮出水面：作为资本开支最激进的AI公司之一，持续高额的投入到底能不能带来实际收益，至今没有被验证。

8、视频丨利润1.4万亿元！央企上半年“成绩单”出炉 下半年发力方向定了

林夏是一名互联网运营，也是独居的“沪漂”，今年年初入手了Ropet。

西班牙势必会通过中场的极致传控来切断梅西的接球线路，试图用体能和跑动优势拖垮阿根廷的老化防线；而阿根廷则可能主动让出部分球权，依靠梅西的灵光一现和全队顽强的防守反击来寻找破局点。

亚特兰大那边则有萨里的强力背书，老帅在拉齐奥时期就多次求购里奇，如今在贝尔加莫终于有了合作的可能。

K3的API定价也同步对标海外旗舰，输出价格100元/百万tokens，较上一代 K2.6 的27元上涨超3.5倍。