猪都能飞起来，飞起来过程中能不能活下来，还得靠团队能力和对客户需求的把控。

1、乐鱼登录 3月极佳视界在Track 1阶段性评测中位列第一，5月考拉悠然也坐上Track 1头把交椅，6月发布的PAIWorld论文又称其登上WorldArena榜首。

英格兰在图赫尔的执教之下，踢得非常现代化，但球队遭遇了右后卫的用人荒，詹姆斯伤愈刚恢复训练，宽萨停赛2场，就看图赫尔如何排兵布阵了。乐鱼登录多塞特在社交媒体上表示，格伊受腿筋伤势影响，出战概率约为五成，若他无法及时复出，丹伯恩将随时待命顶替；而赖斯虽感染了病毒，但球队已采取隔离措施，预计不会影响其首发资格。

2、中国男篮迎关键战！阵容换血，两主帅推荐两人，郭士强还不考虑吗

属于亚马尔的时代，才刚刚开始，而亚马尔也成为了姆巴佩足球之路的食物链的“天敌”。

3、Anthropic被曝9月上市，还要限制员工出售股票

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。

4、后场新援对加盟篮网非常满意，他能够与主教练完成重聚？

关键战隐身：从“救世主”到“战术牺牲品” 纵观本届世界杯，凯恩的数据堪称耀眼，他以6粒进球与贝林厄姆并列射手榜第四，并多次在绝境中拯救球队。

5、郭焱:袁励岑王艺迪3-2淘汰王楚钦孙颖莎真打疯了 打出了超一流水准

边路双星阿什拉夫和马兹拉维攻防两端表现稳定，是球队战术体系的核心。

和过去两个夏窗签人拖沓、卖人更慢的老问题相比，米兰今年先把中锋、中卫两个头号优先级填完的速度明显快于过往，红鸟给出的预算支持力度也足够，阿莫林手里能打的牌比去年同期的阿莱格里多不少，当然新赛季的成绩压力也不会再有球员不到位的借口可找。

唯一旁落的奖项是金靴奖，归属姆巴佩。

6、大卫贝克团队用AI构建可编程荧光标签，利用生成式蛋白实现高精度多目标荧光成像

松下宣布投入3500亿日元扩产电池产能，目标将数据中心储能营收提升至当前三倍。

本周一，巴塞罗那2026年季前备战在甘伯体育城正式拉开帷幕。

7、悬念已终结？三方面对比，约基奇已现疲态，亚历山大恐蝉联MVP

在早期，什么都有可能。

这几年，AI产业的竞争几乎围绕"算力"展开。

8、场均4.2分湖人新星成交易筹码，阵容超员被迫三选一甩卖

尽管英超内部仍有球队对他有意——热刺此前就与他传出过绯闻——但尤文如今也已入局，正在积极争取将这位葡萄牙边锋带到都灵。

距离大规模商业化，仍隔着很长一段路。

这一战略布局背后，其实是大厂占领用户的桌面和床头的计划。

9、美媒排名：现役最强三巨头！新王登基！雷马三少掉队？

不过他们也存在明显的短板，即阵地战攻坚能力不足。

" 萨利巴的背伤无疑让阿尔特塔忧心忡忡。

10、把对手变成标杆，大坂和高芙如同“镜中女孩”

截至2025年底，地平线机器人现金及现金等价物余额高达201.88亿元，同期公司短期借款余额仅约0.2亿元。

梅西是“家有一老如有一宝”；而C罗是“老而不退拖累队友”。

1、改造原始人！Shams：火箭将聘任投篮专家恩格兰德任助教

从地方政策到国家战略，整条链路正在打通 本轮脑机接口的爆发，背后是政策的全方位支持。

2、再走长征路｜“江南铸都”湖南嘉禾的“熄火”阵痛与“淬火” 重生

在WAIC 2026展区，天谱乐AI吉他产品年度焕新款迎来首次公开亮相。

3、罕见一幕！阿尔卡拉斯吃瓜围观，德约鏖战五盘爆发顶棚争议

阿根廷的防线一直显得稳固，蒙铁尔赢下了所有对抗，克里斯蒂安·罗梅罗在第二次补水暂停被换下前也站得很稳。快讯：省运会女足C组各代表队集结信宜首轮5-1横扫突尼斯，伊萨克1球2助、约克雷斯传射建功、阿亚里梅开二度，锋线双子星完美联动，一度让外界惊呼北欧铁骑归来。

4、郑钦文入围雅典赛，夺冠直通美网，布洛克斯称紫薇正手被严重低估

AI手机注定不便宜。

5、超级影响力！詹姆斯下家概率投注超2亿美元创历史 比总决赛G4还高

尽管伤病缠身，德容硬是杀回了巴萨首发，在弗利克麾下重新确立了自己作为球队最具影响力中场之一的地位，再次证明了他完全健康时能达到的高度。

6、36氪首发

不过多特高层里肯和布克本周已经亲赴比利时谈判，卡雷察斯与多特就一份2031年到期的合同基本条款达成原则性一致。

就在这个节点，阿莫林的上任给事情带来了新的可能性。

”法国已经在欧洲杯、欧国联、世界杯三大杯赛的半决赛中被西班牙三连杀，德尚的个人能力流始终抵不过技术流。

7、单打的神！！！他这项数据又联盟第一！

另一个有可能“逃离”米兰的核心球员是拉比奥，他和他妈想追随阿莱格里前往那不勒斯。

勤笑公两次参加“面试”，都没有打动考官。

8、美军已到，菲防长登岛逼中方退让，南海划禁区，中方还有关键一招

这种“抢份额”与“退老股”并存的局面，恰恰说明一级市场半年7倍的估值膨胀，已将股东回报的期望值拉到了极致。

我们将切断与西班牙的一切军事贸易。

7月1日至今，公司股价累计回撤达51.51%，不到一个月便已腰斩。

更根本的原因在于，豆包的方案打破了全球互联网生态长期建立的入口逻辑。