然而，特斯拉没有披露目前的车队规模、订单量和收入，现有的运营车辆主要是改装版的 Model Y。

1、滚球app 紧接着技术总监一职也有了眉目，俱乐部已经非常接近签下克勒舍。

智谱很早就强调自己不做「中国版ChatGPT」，而是坚持做基础模型和MaaS，通过API、订阅和私有化部署向企业和开发者输出模型能力。滚球app罗马更是在补时阶段争议逆转帕尔马，把积分拉到与米兰持平的67分。

2、中端酒店还在卷标准，品睿·竹境观止系列已经开始卷情绪了

最直观的问题在于球员年龄，希腊小将尚未年满19岁，直接将其放到意甲豪门的核心前腰位置上，能否适应比赛强度与战术要求存在巨大不确定性。

3、A股:紧急提醒2.5亿股民!从今天7月24日起,A股或迎更大级别调整?

这似乎表明了一个现象，恩昆库在串联队友环节上做得十分出色。

4、零跑汽车5月意大利市场表现亮眼 纯电销量与份额再创新高

第二：世界杯季军战不那么重要，两队轮换踢对攻大战！对于欧洲足坛而言，世界杯季军战不那么重要，认为这是失败的比赛，第三名和第四名有啥本质区别。

5、卡洛斯-奥古斯托：国米目标不变，我们想再去赢得一些奖杯

法国3-1击败塞内加尔，次轮3-0零封伊拉克，同样两战全胜积6分。

原本是一份有点难看的简历，突然成了一场尚未抵达伊萨卡的远航。

篮球圈的故事同样精彩。

6、两百万人狂欢马德里！西班牙时隔16年再夺世界杯，凭什么

阵容方面，主帅蒂亚乌同样排出4-3-3阵型，锋线上杰克逊居中串联，马内和萨尔两翼齐飞，三人的速度优势非常明显。

费内巴切对莱奥的追逐更为强烈，俱乐部新主席伊尔德里姆决心打造一支能确保欧冠正赛资格并重夺土超冠军的队伍，今夏已先后投入4000万欧元引进格林伍德、1800万欧元签下穆里奇以及近900万欧元引进阿克，如今将引援重心指向左路攻击手。

7、山西男篮锁定新外援，百万年薪报价27岁锋卫摇摆人，NBA场均5分1.7篮板

这并非礼来第一次在阿尔茨海默病领域折戟，但却动摇了礼来高层在CNS领域继续聚焦的决心。

问你一个问题，视频生成的终局是什么？ 如果你以为是“更长更惊艳的视频”，那可能只看到了冰山一角。

8、【观察】40岁莫德里奇续约，他和米兰分别得到什么？

而且，如果同样搭载177Ah电池且出现类似故障得埃安V、埃安Y车主，大概率会发起维权，要求享受与S系列同等的延保待遇。

从拜仁的“四大皆空”到英格兰的“功亏一篑”，图赫尔似乎成了凯恩挥之不去的梦魇。

弱预期压倒强现实锂价冲高回落 不过，锂盐价格上涨带来的业绩暴增红利或不可持续。

9、“张雪机车”获WSBK多宁顿公园站次回合第十名

也就是说，同一届毕业生，选了机器人的，工资是其他同学的5倍左右。

战术风格上，两队走的是截然不同的路线。

10、抖音再攻图文，不止“围猎”小红书

汽车业务的利润虽然被价格战压缩，但服务业务正在弥补一部分缺口。

据《每日邮报》记者Ian Ladyman的最新报道，赖斯在本届世界杯期间，一直在近乎难以忍受的不适下坚持比赛。

1、对于塞伦多洛一家人来说，这是属于他们的一天

亚沙里是去年夏天米兰最贵的引援之一，管理层在经历了艰苦的谈判之后，才以3600万欧元外加奖金的价格将其从布鲁日签下。

2、苏度科技 WAIC 首亮相：现实是机器人的终点，不是训练的边界

图赫尔在那个时间点做出那样的换人，等于在说'我不相信这支球队'，或者说他不相信他们还能给阿根廷再补几拳。

3、阿德耶米：希望能向教练和球迷证明，我配得上为巴萨效力

机构对下半年金价的分歧巨大。伦德伯格谈夏联：刚上场时很紧张 迎接挑战的感觉很棒这或许不是一场成熟“成功经验”的分享，但一定呈现了创业者最切身的市场思考。

4、狂练+轻食却没变化？可能是它在捣乱！

葡萄牙球员向来以技术细腻、战术执行力强著称，这与沙特联赛追求快速提升竞技水平的需求高度契合。

5、国际男篮团结杯时间表：7月24日19：30，中国男篮首战PK喀麦隆

这是哥伦比亚时隔8年重返世界杯淘汰赛，而加纳则是从死亡之组惊险突围，一场技术与力量的碰撞即将上演。

6、上海“卢湾一姐”纪亚群：路野双修，PB256，穿着跑鞋办婚礼

这名前锋本赛季交出了不错的表现，可他并没有获得自己期待中的那种核心地位。

而在新增的3个名额中，阿联酋、阿曼以及印度尼西亚成功入围。

本届赛事中表现抢眼的两支球队成为排名上升幅度最大的队伍。

7、靠申京绝杀转逃出生天，比赛是赢了没错，但勇士的确天克火箭

须臾是中昊芯英的第二代产品，据悉，这款芯片混合精度浮点算力达到 896TFLOPS，8-bit 推理算力达到 1792TOPS，整体性能约为上一代芯片的三倍，单芯片额定功耗为 600W。

与此同时，资源端的博弈也在升温。

8、德约：看辛卡想起自己，如今身体跟不上意识，真想踢烂他俩屁股

球员本人对加盟阿森纳态度积极，这是维拉不得不考虑的因素。

同时，对方需要10天左右才能给出最终答复，这将大大影响到球队夏窗的工作。

皮尔斯透露，巴黎的法国国脚布拉德利·巴尔科拉颇受红军欣赏，布莱顿的扬库巴·明特、科隆的赛义德·埃尔马拉以及里尔的费尔南德斯-帕尔多也都在考虑范围之内。

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。