"固定十七队"的格局被打破了。

1、乐鱼电竞 从目前的进展来看，这位德国经理人对于接受米兰的邀请、迎接意大利足坛的新挑战表现出了非常积极的态度，体育总监哈东也将一起加盟。

凡是让你先交几千到几万"保证进大厂"的，基本是割韭菜——正规内推不收费，收费的多半是把你塞进边缘岗甚至假岗。乐鱼电竞球队的计划是让这位西班牙国脚在部分季前热身赛中登场，作为新赛季开打前的最后准备。

2、曝前国脚3天打小球员近30个耳光！曾入狱6年+遭终身禁足 自称善良

在他看来，NPO是最接近大规模部署和商用的方向，从近期动向来看，可以说规模化落地正在发生。

3、5个工作日跑出加速度！广州首笔“好房子”公积金贷款放款

" 乔哈特的言辞更加激烈："索斯盖特在英格兰的关键时刻挨了不少批评，说他在比赛里太早开始防守。

4、被年轻人的“冻冰块”方法折服了，不花啥钱，便实现了冰块自由！

仍以天齐锂业为例，2025年上半年，公司归母净利润仅录得8441.06万元，扣非净利润132万元，这一盈利水平仅好于亏损的2020年和2024年。

5、年轻人，除了攒不住钱，积攒其他“无用之物”，可是一把好手！

世界杯结束之后，费兰才会认真考虑自己的下一站。

这主要是因为世界杯决赛在即，若对核心球员实施禁赛，不仅会直接改变决赛的阵容格局，还可能引发更大的争议。

得州 AI 算力增至 250MW，计划提升到 400MW。

6、官宣签约！重返欧洲！14年NBA生涯结束了

知道得早，就赢了一半。

由于强调端侧能力，AI手机的短板不是远程写几行代码就能补上来的。

7、“ 轨道插座 ” 为什么突然没人买了？内行人说出实情，无非这几个原因！

自2024年夏窗担任那不勒斯主帅以来，孔蒂用两年的时间留下了一座意甲冠军和一个亚军的成绩，现在意大利教头已做出离任的决定。

西汉姆联刚刚降入英冠，萨默维尔自然成为多家英超球队争抢的对象，罗马也一度非常接近将他收入囊中。

8、云深处机器狗落地英国高校 打造清洁能源实训新模式

真正的分界线，或许不在“代理”与“运营”之间，而在“运营”与“拥有”之间。

毫无疑问，我们想回到欧战。

但汽车并不是它想停留的终点。

9、智能化时代，两轮电动车的竞争轴心正从硬件参数移向操作系统_网易订阅

真正的领袖，不是永远沉默的羔羊，而是在关键时刻敢于发声，用克制而坚定的方式守护团队。

另一种可能是，卡尔迪纳莱可能会对伊布进行削权，让他远离转会市场。

10、遗憾止步半决赛！火箭90-101惜败灰熊 科沃德28分

目前阿莫林已与米兰签署一份直至2029年6月30日的长约，他将在补强阵容的引援和夏季可能进行的出售中拥有重要话语权，这一点和阿莱格里执教时期形成鲜明对比，阿莱格里虽为名帅，但在转会操作上话语权十分有限。

力箭一号总设计师史晓宁指出，国内商业航天正式告别技术验证阶段，全面进入市场需求驱动、规模化商业应用的全新周期，也对商业运载火箭的适配能力、服务模式、综合性能提出了全新的迭代要求。

1、中卫交警致全市高一新生家长的一封信，家长们看过来，事关上学……

在普利西奇因伤缺阵的背景下，恩昆库与丘库埃泽成为前场战术试验的重点对象，其中恩昆库的体型发生了肉眼可见的改变，他的体脂率明显下降，肌肉线条较上赛季更为清晰，这也从侧面反映出法国前锋渴望咸鱼翻身的决心。

2、被南通支云大逆转之后，浙江队真的会大清洗吗？

北京时间7月11日凌晨3时，美加墨世界杯1/4决赛迎来一场焦点战，斗牛士军团西班牙队以2-1力克欧洲红魔比利时队，时隔16年再度挺进世界杯四强。

3、奇遇中轴

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。针对广东内线！曝许利民调整阵容，范子铭进入12人大名单本周一，巴塞罗那2026年季前备战在甘伯体育城正式拉开帷幕。

4、WNBA历史第一人！女库里克拉克狂轰45+10+19罚 刷爆纪录

这个仓位不是为了立刻赚大钱，而是让他开始投研这家公司的财报、跟踪客户和记录竞争变化。

5、海伦哲高管王俊鹏增持3.8万股，增持金额50.54万元

管理层方面，卡尔迪纳莱也狠狠折腾了一番，先是夺冠“斩功臣”，辞退马尔蒂尼和马萨拉，随后又送走接任体育总监的安东尼奥·多塔维奥（现任职科莫），当下CEO富拉尼也正遭到口诛笔伐。

6、官宣！22年长跑老将，卸任3只基金

英格兰队在晋级之路上付出了不小代价。

据多家英媒报道，蓝军正在权衡签下英格兰中卫约翰·斯通斯的可能，同时对伯恩茅斯中场亚历克斯·斯科特的报价已遭到拒绝。

他渴望将自己在欧洲赛场积累的丰富经验反哺祖国，无论是作为教练在场边运筹帷幄，还是进入管理机构推动塞内加尔足球的发展，他都愿意继续为国效力。

7、真心建议：不管冰箱多大，都别放这7样东西，不要给自己找麻烦！

整个行业的人才，为此都水涨船高。

76次夺回球权，一对一对抗成功率50.67%——这样的防守投入程度，很难让教练组对他另眼相看。

8、猛烈抛售！科技股全线大跌，高盛重磅发声！美股重大考验来了

一项判断即使正确，如果投资工具先于事实到期，账户仍然会亏损。

工业智能、车载算力、本地大模型、智能家居的全面落地，让FPGA、SoC、物联网MCU芯片迎来快速增长期。

两个群体对工具产品的诉求截然不同，万兴科技更想投入的群体是后者，下沉到用户基数更广的非专业市场。

抉择：做深场景还是做广平台？ Agent商业化，到底是做深场景，还是做广平台？哪种模式更可持续？商业抉择背后的逻辑依然需要回归到市场需求。