巴萨的边锋不能只靠速度吃饭，他们需要实际产出，而戈登在职业生涯迄今最重要的一战中证明了自己能在决定性时刻兑现这一切。

1、高比体育 今年1月，卡马尔达因为肩部伤病决定手术治疗，直到4月底才复出。

“给自己贴上热门的标签绝非好事。高比体育差53倍。

2、300万一张门票！纽约尼克斯，太离谱了

如果米兰不在今夏变现托莫里，明年就将面临人财两空的局面。

3、里程碑，大连英博球员吕焯毅俱乐部赛事已出战100场_网易订阅

自红鸟资本入主AC米兰以来，球队4年的时间里引援投入超过5亿欧元，却只捧起过一座含金量并不高的意大利超级杯。

4、1987年，庄则栋想和日本女友结婚，组织却不同意，李瑞环：我帮你

该公司的情况并非孤案，其他多家锂盐企业均表示，受益于下游动力电池和储能需求增长，各锂企产能利用率普遍较高，量价齐升。

5、【抢票】2026「i动·燃趣焕新赛」早鸟售票通道现已开启！

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。

这位曼城中场随后在蒙克洛亚表示，这是他职业生涯的巅峰之作。

" 尽管转会流言不断，切尔西在谈判桌上握有充分主动权。

6、65岁肌肉男，世界杯最年长冠军主帅

一个是布鲁日的特雷索尔迪，本赛季比甲攻入19球，欧冠另有3球入账。

尽管他确实把球队带到了更好的位置，但他在转会市场上的号召力，甚至不如去年夏天处境艰难的阿莫林。

7、汾河之上 少年逐浪 全国青少年皮划艇U系列联赛开幕

对于萨格勒布迪纳摩来说，为一名伤病频繁且薪资不菲的球员支付1000万欧元买断费，风险系数太高了。

此外，如果格拉斯纳加盟米兰，将有利于球队签下水晶宫射手马特塔。

8、扩军后的世界杯，到底把足球踢成了什么样？

2024年，李飞飞离开斯坦福，创办World Labs，一头扎进“空间智能”这个新赛道，目标是让AI不仅能识别图像，更能像人类一样理解、推理并交互三维物理世界。

根据最新消息，他们已经与法兰克福的克勒舍达成了全面的口头协议，这位德国足球界最受推崇的体育主管之一，曾挖掘格瓦迪奥尔、奥尔莫、埃基蒂克等一批潜力新星。

显然莱奥也不是中锋，但他是阿莱格里在几番权衡后不得不扶正的一个。

9、亚运解签：男足陷“死亡之组” 女足争小组第一

这几乎是滔搏与耐克那套关系的微缩复刻：它依旧不拥有货，只运营别人的货。

贝莱德表示，近期科技和半导体股票的急剧抛售属于“反应过度”，并警告市场正在将“AI竞争格局的转变”与“AI投资崩溃”混为一谈。

10、214万张选票造最贵后场！克拉克联手布琳克斯，全明星这周末就开打

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。

三外援不仅包办了全部进球，更在传射循环中展现了极高的战术素养。

1、“我来住院不是来军训，天不亮就叫起来！”患者控诉每天要早起等医生查房，医生：医院不是酒店；“住院是为救命，不是来享福”，网友吵翻

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。

2、马卡：罗德里将接受背部门诊手术，恢复期大约为三周

将近二十年后，梅西在世界杯决赛的球场上，俯身对那个婴儿耳语。

3、六连败，世联赛中国男排提前无缘前八，这3点让球迷觉得很搞笑

纽约新泽西大都会球场，第106分钟，费兰·托雷斯一脚定乾坤。【CBA联赛】第一轮｜浙江稠州金租101-106不敌宁波町渥韩国队FIFA排名第25位，全队身价约1.5亿欧元，同样8名旅欧球员构成中轴线。

4、海外研选｜高盛：美国今年IPO融资或创2250亿美元新高 泡沫信号尚未出现

韩国近10场取得6胜2平2负，进18球失10球，预选赛不败晋级，亚洲杯表现稳定。

5、惊喜，国羽19岁小将2-1一号种子闯进4强，发现他打法挺有特点

澳大利亚这边，伊兰昆达英冠15球8助攻，首轮打入关键首球；瑞安西乙15次零封，门将位置稳定；苏塔的空中统治力是球队的重要武器。

6、LV来给其他品牌打样了

2023年，广汽集团贡献77.7亿元，占比接近30%。

我为他感到骄傲。

相对于天齐锂业等动辄巨亏或暴增几十倍的盈利，已算平和。

7、人人都爱哈兰德

模型公司集体下场造硬件的逻辑只有一个：必须把终端握在自己手里，用户关系和数据飞轮才不会旁落。

由于淄博瑞光2025年新建1台50MW燃煤背压式发电机组、1台8MW生物质发电机组、260t/h燃煤锅炉和75t/h生物质锅炉，已于2026年1月正式投产，预计将增加其2026年的营收，公司在收购淄博瑞光股权时采取收益法评估，估值6.80亿元，增值率108.05%。

8、杜润旺3年顶薪加盟同曦，今夏已有6人离队，广东队加速重建

这类路线不只要求模型看见指令就行动，还希望机器人能够先预测动作会带来什么后果，再生成、筛选或修正动作。

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。

最近，全网都在帮量贩零食算账。

而就在爱众资本收到兰州中院执行通知书的前一日，广安爱众起诉爱众资本要求后者立即偿还借款本金4.79亿元的借款合同纠纷案被受理，并在起诉前公司已申请对爱众资本名下的4.79亿元财产进行保全。