目前，丝芙兰中国已经引入了26家中国美妆品牌，覆盖彩妆、香水、护肤多个细分赛道，价格段也更加多元。

1、博鱼手机 无论是TT语音，还是AI音乐，趣丸科技的思路是将“用户洞察”置于技术研发之前。

英伟达、谷歌、阿里、华为都在布局机器人基础模型、仿真平台和世界模型。博鱼手机HBM良率从25%爬到40%以上。

2、英格兰2027年夏季赛程发布：男女背靠背打英澳对抗赛

当39岁的梅西再次踏上世界杯的绿茵场，岁月仿佛在他身上失去了魔力。

3、中方代表团有力驳斥日方攻击抹黑：块头大并不必然就是威胁，块头小并不必然就不危险

例如愿意为 AI 投资决策工具付费的专业投资者，或能够获得公司报销的管理者。

4、目标世界杯冠军！克洛普：职业生涯顶点，会踢让球迷惊讶的足球

参展主体涵盖央国企、外资企业、上市公司及初创企业。

5、从2984家商业航天企业看：造火箭这件事，是怎么轮到小城市的

另外，经营现金流46.97 亿美元，依然覆盖不了资本投入——自由现金流转负至 -10.92 亿美元。

这不仅仅是一串冰冷的数字，更是梅西用二十年职业生涯、用无数汗水与热爱铸就的丰碑。

埃安S的电池问题涉及约21万辆车，目前只有“延保+免费维修”，没有召回。

6、葡萄牙VS西班牙：葡萄牙毫无优势，西班牙想取胜难度也大

这样的架构已经很成熟了，各种介质共存，各司其职，没有非此即彼的选择。

截至半决赛，法国队总进球16球、失4球，场均控球率64.7%，总射门87次、射正41次，进攻火力冠绝赛事。

7、温布尔登前锋离队！刚助球队升级即转会美乙罗德岛

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。

但事实上，除去这些经济成本外，时间与精力的投入才是宠物主最大的开销。

8、宕昌：夏日康养暖民心 岐黄妙手进景区

6月底博睿康进入首轮审核问询，7月初又被中证协抽中现场检查。

反观新增可攻略男主，是最快制造话题热度、开辟全新氪金赛道、拉升短期营收的捷径。

据《国家报》最新消息，巴萨高层内部对于今夏签下阿尔瓦雷斯颇有信心。

9、红牛车队高管坦言：“很多好车手”来电问维斯塔潘的座位

这几笔引援加大了马竞出售球员的迫切性，球队必须先卖后注册，把账做平。

特尔施特根租借加盟阿贾克斯的交易，又遇到了新麻烦。

10、2026年江苏省老年保龄球邀请赛在南京举行，近200名选手参赛

阿根廷球迷在Change.org平台发起了一项请愿活动，要求重赛2026年世界杯阿根廷对阵西班牙的决赛。

关键胜负手 本场比赛有三方面需要重点关注的地方：一是蒙特斯停赛导致墨西哥后防核心缺席，韩国反击威胁倍增；二是韩国客场作战存在一定变数；三是韩国高位逼抢战术是主打传控的墨西哥最头疼的对手。

1、阿苏埃半场帽子戏法+精彩倒钩，申花4比1淘青岛海牛晋级足协杯八强

如果模型的Coding能力可以领先最前沿水平六个月到一年，模型创业公司就可以在撬动客户购买意愿时获得明显优势。

2、尤文二队25/26赛季球员报告，谁能未来进入一线队

300 万台产能意味着更强的采购能力和制造摊薄能力，也意味着当竞争者跟进时，头部公司有更强的降价空间。

3、乔丹第15詹姆斯第22，NBA历史最佳防守球员揭晓，第一毫无悬念

拓竹第一代产品众筹时沿用了典型的工程师打法，公司 150 多人的团队里约 120 人是工程师，团队在 22 个月隐身开发中造了 700 多台测试机，消耗 3 吨材料。为王梓谦、刘宇、魏虹霖、范德顺点赞！“川超之星”最佳阵容（最佳人气球员）评选正式开启！” 他与前巴萨队友基姆·胡尼恩特的默契也是球队的一大财富。

4、公羊队被看好裁掉老将冲刺新赛季，辛普森或成斯塔福德唯一替补

加拿大主打高位逼抢和边路突破，南非主打密集防守和快速反击，从风格上看，南非的战术其实更克制加拿大。

5、热刺35人名单揭晓：库卢14个月未出场，接近复出的他也落选

我甚至怀疑，中文播客接下来的高频词会是“具身”“在场”和“真实连接”。

6、巴尼亚亚自评赛季仅5.5分 直言后轮抓地力不足拖累杜卡迪

阿根廷方面的这一举动并非孤例。

但时间拉长来看，这不过是5月中旬以来股价“腰斩”后的修复反弹。

据《世界体育报》报道，努涅斯已返回利雅得新月参加季前训练，但这位乌拉圭前锋仍在密切关注巴萨在转会市场的一举一动。

7、1965年雪佛兰科尔维特L84：375马力燃油喷射经典，两获顶级荣誉

按照汽车业务收入和交付量粗略折算，特斯拉每交付一辆车对应的汽车收入，从一季度的约4.53 万美元降至二季度的约 4.27 万美元。

34岁的队长达瓦萨里状态稳定，这位2022年对阵阿根廷打入制胜球的功臣，仍然是沙特最具威胁的进攻点。

8、宁忠岩的金牌，遮不住中国冰上的“窟窿”

最后，工时、收入、组织权力和家庭分工这些硬问题，被包进了一个柔软的心理学外壳。

从清晨起床、早餐、通勤、午后工作、傍晚散步完整流程。

国际足联曾预计，2023-2026这个四年周期的总收入将达到130亿美元，较卡塔尔世界杯周期增长72%，是史上商业价值最高的一届世界杯。

停产前，该矿月均碳酸锂产量约7000至8000吨，约占国内月度锂需求的10%。