瑞银给出5200美元的12个月目标。

超级碗冠军断言牛仔远超预期，琼斯防守豪赌获内部力挺

40669 ★

摘要：企业听完，第二天就去别的地方了。

在对阵西班牙的伊比利亚德比中，C罗踢满全场却交出3脚射门0射正的惨淡答卷，最终葡萄牙在补时阶段被绝杀出局。

1、bob电子还有一类是视觉模型路线，以智象未来的UiT架构为代表，从底层统一建模文本、图像、视频、空间、动作等信号，也是其中最具产业落地确定性的一条代表性路线。

如何补上光交换的“空白十年”？虽然中国厂商在光互连领域风生水起，但在光交换领域，却已然落在了后面。bob电子存储龙头兆易创新同样强势领跑，走出十倍级增长行情。

2、这个三伏天不可错过的“养生局”，岳阳市中医医院2026冬病夏治养生文化节正式启动

一张计算卡背后，有三本账这门生意能否成立，关键不在于显卡价格，而在于三本账能否同时算清：建设账、运营账、客户账。

3、WRC新50小时赛制爱沙尼亚站首秀成功，车手力挺或成未来蓝本

而这批2022年到2023年生产的177Ah电芯，恰恰是存量。

4、该说不说，他还是有点“进步”的……

而在那场举世瞩目的阿根廷vs英格兰半决赛中，他出现在后点，打入了让无数巴萨球迷浮想联翩的一球：拉明从右路传中，戈登包抄破门。

5、电力杆塔变身“水边哨兵”，江苏首个警电联动防溺水机制上线

SEMI数据显示2024-2027E年全球半导体设备市场将持续扩容，市场规模将从2024年的1166亿美元增长至2027E年1556亿美元。

双方伤停情况：英格兰有宽萨（停赛）、亨德森（手腕骨折）；阿根廷（无）。

企业需要重点关注不同层级的数据如何管理，让数据能流到不同的地方，这对企业来说非常有价值。

6、“它们”开始进厂打工了！新华社观察“人形机器人量产元年”的纺织车间

“脑机接口第一股”竞速 2026年，脑机接口迎来资本热潮。

真正让业界为之侧目的，是天谱乐AI吉他。

7、达拉斯飞翼布克斯因摔倒酸痛缺阵，已排除脑震荡_网易订阅

主帅达利奇手中的牌面依然是“老戏骨+中生代”的搭配。

也许早几年的他，会把替补席看成一种审判、一种关于地位的声明。

8、乌龙球绝平！倒数大战1-1握手言和，天津津门虎5轮不胜仍垫底

值得一提的是，相比于往届，今年的FIFA世界杯因为时差影响，虽然许多消费者无法守候直播，但会选择在社交媒体围观讨论世界杯。

谷歌服务是基本盘，包括广告（搜索、YouTube、谷歌联盟）和非广告业务（订阅、平台及硬件），谷歌云是当下的增长引擎，新业务则承载前沿探索。

霍芬海姆前锋菲斯尼克·阿斯拉尼正站在职业生涯的十字路口。

9、官宣！曼城1.16亿镑签下英格兰国脚安德森，合同期至2031年

Dario认为，把一个AI模型在生物化学方面的能力，从本科生水平提升到研究生水平，也许不会让普通聊天机器人用户兴奋，但对辉瑞这样的制药公司来说，这很有价值。

第16分钟，姆巴佩迎来了全场唯一勉强算得上机会的时刻。

10、罗德里戈社媒欢迎新队友：等你来世界最佳俱乐部

尽管在纸面实力上并不占优，且球队核心梅西已步入职业生涯暮年，但斯卡洛尼为球队打造了极具韧性的战术体系。

储能正在从数据中心的“选配”变成“内建”。

1、尤文旧将追踪：科里尼带领布雷西亚联力争冲乙，德西利奥失业中

瑞士队中场控制力强，扎卡和弗罗伊勒的双后腰组合既能控球又能防守，他们会试图通过中场传导掌握比赛节奏，同时利用边路速度打反击。

2、姆巴佩退出！英格兰双星威胁不大！决赛还没踢，梅西或提前锁定2大奖项

储能从“被迫配”变成了经济性驱动，需求质量从根本上得到提升。

3、俄罗斯最担心的局面来了！泽连斯基亲口问出答案：扎卢日内要参选

这种进化在生物信息学、实验设计等领域展现出巨大潜力。乌俄冲突白热化：乌5天炸50油轮，俄毁200加油站以"岗前培训"为名让你签贷款协议、交押金的，直接拉黑。

4、东契奇长期跟队专家直言：湖人阵容天赋“不在同一水平”，新援凯斯勒是豪赌

英格兰中场贝林厄姆本届赛事发挥出色，身价大幅上调3000万欧元，达到1.6亿欧，位列第五。

5、直冲36℃！邵阳接下来……

巴洛贡梅开二度状态火热，普利希奇送出助攻，全队跑动距离超过115公里，边路突破创造了13次禁区内机会，进攻火力全开。

6、博兴县农业农村局原局长、乡村振兴局原局长（兼）初闻武严重违法被开除公职

对他而言，穿上米兰球衣曾是儿时的梦想，薪资对他早已不是首要因素。

礼来的万亿美元之路，是一部关于傲慢、错过、追赶与最终救赎的史诗。

你实习拿多少？或者，你身边有月薪过万的实习生吗？评论区聊聊，说说你看到的真实情况。

7、交易截止日不到两周，Cole Carrigg等外野手幻想价值有望飙升

边路速度是最大武器，戴维斯和布坎南的轮番冲击往往能撕开对手防线。

世界杯前，这位前圣埃蒂安中卫在2025-26赛季为阿森纳出战50场，是枪手时隔22年重夺英超冠军的关键功臣。

8、台湾将进行“汉光42号演习”，首度加入网络断网，国台办：在强大的人民军队面前，民进党当局搞再多演习都是装腔作势、吹哨壮胆_网易订阅

从国家队队长到安菲尔德的新王，索博斯洛伊已经做好了接班范戴克、戴上队长袖标的准备。

英格兰中卫合同2027年到期，随着希拉从拉齐奥加盟，三后卫体系右中卫的主力位置实际上已经易主，米兰对出售托莫里持开放态度。

很多人或许有灵感、有情绪，却很难真正把脑海里的旋律变成一首完整作品。

四年前在多哈登顶的阿根廷，如今卷土重来。

青岛西海岸本轮能战平成都蓉城！球迷公认他功不可没，曾留洋欧洲 Ethan Pocic通过体检正式加盟乌鸦，一年合同填补林德鲍姆空缺转会窗：尤文有意乌迪内斯中场埃克勒卡姆，多位二队小将或离开湖人引进库明加遇阻老鹰只接选秀权多换一遭拒

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bob电子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。申请删除>> 纠错>> 投诉侵权>> 平台自有内容（文字、图片、界面、榜单、商标、LOGO 等）知识产权归本站所有，未经书面许可，禁止复制、转载、商用。

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