当全球企业逐步摆脱单一模型依赖，或自研垂直专用小模型，或基于开源基座通过强化学习搭配大小双模型适配细分业务，AI商业化的底层逻辑已然清晰——能赚钱的AI，从来不是“做出来的”，而是“长出来的”：长在真实的场景里，长在用户的需求中，长在一群愿意坚持的创业人手里。

1、bte365手机官网 至于即将到来的新赛季，巴萨预计将在诺坎普球场完成全部主场比赛。

卫冕冠军在比赛末段苏醒。bte365手机官网第三条路线是投资还没完全证明自己的年轻中锋。

2、NVE单季营收激增81%：产品销售额暴增82%，毛利率达到81.3%

Anthropic在和OpenAI竞争中的后来居上，以及MiMo-V2.5、GLM5.2、kimi K3的调用量增长，都能验证这个判断。

3、TVB正式更名为“无线集团”，由传统电视台升级为跨媒体娱乐集团

四年前在多哈，同样因伤随队、零出场。

4、8人被警方拘留审讯！南非国脚离世不只是抑郁，多重重压压垮新星

同时，申凯希透露，也正在开发由本地团队主导的全新零售概念，并将在未来六个月推向市场。

5、法国明晨死磕摩洛哥！告别足球熬夜盛宴，八强赛程突现时间真空！

这让行业感慨，众里寻他千百度，暮然回首，风口却在灯火阑珊处： 大模型公司的下一个主战场，可能不在代码里，视觉多模态，正在成为大模型公司下一个兵家必争之地。

GLP-1类药物驱动了礼来约80%的经济价值，这个数字本身就是对当年那个错误决定最响亮的嘲讽。

无论是深耕招聘等垂直领域，还是通过极致的成本控制，为价格敏感型市场提供高性价比的模型方案；亦或是敏锐捕捉市场变化，为头部客户提供定制化的基础设施服务。

6、美国大学百米成绩单：凭什么这些大学生的速度能超越亚洲纪录？

周远注意到了这个时间差，画了两只闹钟。

如果加拿大无法在前场形成有效逼抢，很可能陷入被动挨打的局面。

7、福特锐界L新车型上市，如果降价10万有人买吗？

（图源：AI生成） 横向测试覆盖11个商用大语言模型，所有测试均在智能体配置下进行。

新增可攻略男主，最直接的影响就是卡池概率被稀释，原有角色的抽取权重、保底资源变相贬值，玩家过往的真金白银投入，随之大打折扣。

8、商务部：将14家欧盟实体列入出口管制管控名单

五年光阴流转，两人已蜕变为各自国家队的领军人物。

于是，好卖的东西不赚钱，赚钱的东西卖不动。

真正值得讨论的，是极佳视界选择了一条什么样的技术路线？ 目前，世界模型大致可以分成三类： 第一类是以视频和交互环境生成为核心的世界模型。

9、谢霆锋证实父亲谢贤去世，ip显示他已经到达香港

Anthropic叙事的边界 中国公司学习Anthropic并不应该是简单的模仿，而是根据自身需求将其内核锤炼出来，融入到自己的改造进程中。

这种大钱来自国资的旧秩序下，投资核心逻辑被要求必须安全。

10、废掉一个人最隐蔽的方式：2个字（你可能正在经历)

但这部分人不是所有的市场需求。

奇克的合同将于2027年夏天到期，若今夏无法售出，明夏将面临零转会费流失的风险，管理层和球员团队正在为其积极寻找下家。

1、糖尿病一口番茄不能尝？再次强调：不想得糖尿病肾病，远离这6物

”企业的真实价值，终究要由自身盈利能力、管理水平和合规经营来称量。

2、深圳启动外卖员送AED，网友：没事还好，有事骑手成被告

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。

3、一场1-1！让韩国队出线告急：3个小组第三已晋级，主帅拖累了全队

第二重压力是聚焦无法消除的算力、资本和数据差距。山东男篮亏损 3500 万本质：后巩晓彬时代人心散了，队伍不好带了他们拥有更多像德布劳内、多库、特罗萨德这种能够凭个人能力改变战局的球星，且整体战术体系更加成熟。

4、英国公开赛亮相皇家伯克戴尔！舍夫勒小麦领衔阵容 李昊桐重返福地

承认是自己的电芯出了问题，意味着要承担全部赔偿责任；把问题模糊成“系统故障”，就能把责任分摊出去。

5、新科菲尔兹奖得主邓煜：为中国数学进步感到鼓舞

如今，球员的发挥吸引了不少西乙俱乐部的关注。

6、找副业别乱追风口，你的性格藏着适合你的方向

为什么？因为算力，真的不够用了。

阿莫林上任后，米兰火速签下了拉莫斯和希拉两名新援，目前球队已开始着手重组中场。

”Agnes AI 的合伙人孙卓坦言，在应用商业化碰壁之后，今年团队已将重心转向模型与Harness（工具链）研发。

7、美媒评NBA历史99大射手：库里无悬念居首 杜兰特第4詹姆斯第36

即便明知打官司也执行不到一分钱，但也必须打。

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。

8、死亡风险最高降25%，常见维生素又添新用！最新研究：补充后，阿尔茨海默病风险还猛降87%！但有“封顶值”，补太多不能锦上添花

流量计控制着设备内的气体流量，过去全靠进口。

这种收与放之间，泡泡玛特探索的不仅有一家IP公司的业务边界，还有面对新一代用户不同以往的内容消费形式，关于IP的文化和情感共识需要以什么样的方式建立、呈现和传递。

奇克的合同2027年到期，引进成本接近2000万欧元，本赛季却因为伤病原因出场时间被压缩。

现在回头看，能拥有第一天相遇时的那些照片，真的很特别。