他和同事迅速提交了专利申请，并计划将GLP-1激动剂推向减肥市场。

1、半岛体彩 北京时间7月11日凌晨3时，2026年美加墨世界杯第二场1/4决赛打响，欧洲内战，西班牙对阵比利时。

凭借这份统治级的表现，他不仅毫无悬念地当选2025-26赛季利物浦队内最佳球员，其德转身价也水涨船高，正式迈入“1亿欧元先生”的殿堂。半岛体彩财报什么时候发布，临床数据什么时候公布，政策会议什么时候举行，都可以提前写在日程表上。

2、高芙被赞体面人火娃登顶无悬念？奥胖集齐大满贯金花提前进决赛

这张地图的跨度，比很多人想象的大。

3、长内容创作者苦AI失忆久矣，这个新Agent漂亮填坑！门槛低到只需要会用键盘打字

阿莫林在葡萄牙体育执教期间亲手提拔了伊纳西奥，前者近期还多次致电伊纳西奥劝说加盟，值得一提的是，两人同属一家经纪公司。

4、Chanel这只包最近全网都在给我推！

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。

5、刚获菲尔兹奖，Ta转身就跳槽OpenAI

他大二暑假还在送外卖攒学费，压根不知道有"暑期实习转正"这条路。

要想掌握欧冠资格的主动权，最后两轮必须全取6分。

第一，它拥有规模化的驻场工程团队。

6、正式官宣！1米95后卫新星完成签约，加盟新疆男篮

澳大利亚虽然整体身价只有5143万欧元，FIFA排名第27位，但其实战能力不容小觑。

目前的金球奖概率榜上，梅西以17%的支持率稳居第二，仅次于凯恩。

7、看完阿根廷2-1绝杀英格兰！不得不承认5个事实，决赛梅西PK亚马尔

World Labs的成长速度堪称惊人，成立当月就完成首轮融资，估值已达2亿美元；短短两三个月后，再获1亿美元融资，估值跃升至10亿美元，正式跻身独角兽行列。

下半场开局略显沉闷，或许和长达27分钟的中场休息有关，球员们需要重新进入状态。

8、今日，梁文锋成AI新首富，36人靠大模型成亿万富翁

碳酸锂从6万到20万再回15万的轨迹，不是又一个周期的简单起落，而是供需在成熟市场中寻找理性均衡，其间也夹杂着市场情绪的潮汐。

" 他还威胁对西班牙商品加征超过100%的关税，这将对西班牙每年超过180亿欧元的对美出口造成毁灭性打击——发动机、建材、葡萄酒、橄榄油，无一幸免。

资料显示，截至目前滔搏拥有约9290万累计用户，其深度下沉的线下零售网络，已成为其抵御此次冲击、维持行业地位的最大筹码。

9、2026年广州市黄埔区第十二届科普讲解大赛举办

瑞银给出5200美元的12个月目标。

爱奇艺、腾讯视频、芒果TV等长视频平台加速将AI内容纳入核心策略；字节跳动Seedance、快手可灵、生数科技Vidu、商汤Seko等视频生成模型切入基础设施层；腾讯云、阿里云、火山引擎、百度、360、科大讯飞纷纷入局AI短剧制作的应用层，LibTV、ELSER.AI、有戏AI等AI原生团队也进入AI短剧制作领域。

10、1354亿！OpenAI官宣首个自主开发的数据中心

面对罗德里和法比安·鲁伊斯的绞杀，法国队“想抢抢不着，要传也传不过去”。

从姆巴佩、贝林厄姆到维尼修斯与居莱尔，皇马的四位得分手用精准高效的输出证明：在世界杯这个属于巨星的舞台上，真正的价值从不在于人多势众，而在于关键时刻谁能挺身而出。

1、《邪修买包攻略》

在预选赛阶段，俱乐部按球员每次入选国家队名单获得2045欧元补偿，无论是否出场。

2、阿奇会师小猪佩奇，WNBA迎来浪漫叙事天花板

肯给在校生开正式工级别的薪水，背后算的是三笔账，而且算得极清。

3、2026海淀马拉松开启报名

卡尔韦利负责的事务覆盖范围广泛，包括球员经纪人对接、新球场建设、物资采购、商业赞助签约、球员与教练交易等工作均拥有签字审批权限，但设置明确约束条款：单笔交易金额超过1000万欧元，必须上报老板卡迪纳莱审批。史上第二高价格 美网冠军奖杯被拍卖 前世界第一破产后 荣耀也成抵债品在审计、巡视对“明股实债”“变相增加地方隐性债务”进行穿透式检查的背景下，所有未打款、未完成备案的项目必须重新进行合规审核。

4、健康

政策开闸，产品亮相，巨头入场。

5、以监督赋能保电攻坚 用坚守清凉江城盛夏——国网武汉供电公司汉口供电中心纪委从严开展迎峰度夏全维度一线督查工作_网易订阅

但全球DRAM格局稳定，谁的份额都难大变，更没有国产替代叙事可讲。

6、图赫尔的无奈，为什么靠摆大巴堵门，注定赢不了阿根廷

并且众所周知，他们才是事实上的新科非洲杯冠军，尽管最终被剥夺了资格。

英格兰小组头名出线后，1/16决赛2-1力克刚果（金），1/8决赛客场3-2惊险逆转墨西哥，1/4决赛苦战120分钟2-1淘汰挪威。

巴萨正在密切关注这位西班牙前锋与法甲冠军之间进展迅速的谈判。

7、网易创新社沙龙｜三位顶级专家关于Web3机遇的深度洞见

持球人原则上最多两脚触球，理想状态是一脚出球直接传导至进攻三区。

如果产品还无法自己造血，现金流很快就会枯竭。

8、马刺击败雷霆，杀进总决赛，文班22+7激动落泪！亚历山大空砍35+9

但这种乐观并未能扭转市场的悲观情绪。

我感谢他，并且我明白，就像球员一样，他也可能被追逐。

一家公司能否在等待期间产生现金流，资产负债表能否让公司活到行业复苏，有没有到期日，新增价值是否归属股东，这些问题都会决定凸性质量。

Jobright.ai 将 AI 深入这些具体工作流，并通过数据持续优化用户价值、付费转化和获客效率。