据转会专家罗马诺的独家消息，意甲豪门国际米兰已经率先迈出实质性一步，与热刺进行了初步的试探性接触，以了解球员的转会可能性。

1、博亚平台 但真正卡脖子的，不只在芯片本身，也在造芯片的机器。

野村证券预计美联储将维持利率不变，但由于7月会议不更新经济预测或点阵图，美联储主席沃什不太可能提供实质性的前瞻指引。博亚平台你的下一件新球衣，会是闪耀着两颗星的红黄斗牛士战袍，还是承载着四颗星的蓝白雄鹰传奇？这不仅是关于信仰的选择，更是阿迪达斯在这个夏天留下的最成功的商业印记。

2、恭喜火箭队！签1人等于签5人？大龄新秀可换防中锋，攻防技能太全面

5月6日，朱双单归还500万元，同一天又拆借给公司900万元。

3、中国美院录取通知书附带30份作业

"央地合作，低空致远 —— 低空经济创新实践与协同发展论坛" 是当日重点平行活动之一，围绕低空态势感知、空域划设管理、基础设施建设、产业生态共建等议题展开讨论。

4、浙江温州一老板9000万元“抄底”百公斤金条，省下140万元，刷新交易金额纪录

与之对应，新援吉拉的转会费分摊至五年合同，加上享受意大利税收减免政策后的500万欧元税后年薪，其年均成本同样控制在1180万欧元左右。

5、低空经济和机器人们在自然灾害面前为何如此默契？罕有动静！

但阿劳霍缺阵带来的防线隐患、努涅斯的状态问题、贝尔萨战术的体能瓶颈，都给比赛增添了变数。

更重要的是，如果故障被认定为批量性制造缺陷，即便过了质保期，企业仍然可能要承担相应责任。

该媒体还指出，马竞在签下李刚仁、尤尔曼德和格里马尔多之后，为西蒙尼的阵容已经砸下了超过8000万欧元。

6、罗马诺丨他离队是米兰推进后续引援先决条件

之前，6场比赛8个进球，第7场，彻底哑了火。

俱乐部首席执行官米格尔·安赫尔·希尔·马林在世界杯决赛前接受采访时重申了立场，把阿尔瓦雷斯离队的大门关得严严实实。

7、新探险者本月上市，最贵的长安福特，三位数销量

此外，加大算力券等支持力度，鼓励有条件的区联合创新主体探索发放Token券、智能体服务券等加速智能体等推广应用。

48小时内，全球开发者请求涌入月之暗面服务器，用户量逼近算力集群承载极限。

8、状态下滑？西班牙重用罗德里遭质疑 比巅峰期差不代表比别人差

同时，老板本人也制定了极其紧凑的日程，他亲赴德国与格拉斯纳进行了会面，值得一提的是，这次对话并没有带伊布参加。

费兰做到了。

“我的工作经常都需要加班，晚上回到家连个活物都没有。

9、若台海开战，这就是日本的下场？科威特局势升级，美军开始撤退

但在赛场之外，阿根廷队此次的举动，展现了足球运动更为动人的底色。

锋线上姆巴佩状态火热，本届赛事已打入7球，与梅西并列射手榜首位，个人世界杯总进球数达到19粒，距离梅西的20球纪录仅一步之遥。

10、5000家企业纳入管控!十五五减排加码,清洁能源装机突破38.9亿千瓦

细心的球迷发现，阿根廷队与裁判之间的缘分堪称奇妙：上届卡塔尔世界杯，阿根廷队小组赛首战（对阵沙特）和决赛（对阵法国）的主裁判都是波兰人马齐尼亚克；而到了本届美加墨世界杯，阿根廷队小组赛首战的主裁判是马齐尼亚克，而决赛的主裁判，则换成了温契奇。

9月1日起，锂电池按2%征收消费税，2027年9月升至4%；钠电池、固态电池则免税至2028年底。

1、与爱泼斯坦关联的法国模特星探巴黎身亡，律师：死于心脏病，但污名与压力“无疑起了作用”

近期战绩：状态起伏vs六战全胜 荷兰在世预赛阶段表现稳健，6胜2平全程不败，打入27球仅丢4球。

2、津门虎要想留下炙手可热的黄嘉辉！未来需要做到这两点，引发热议

具体来说，储能毛利率从39.5% 到 20.4% 的背后，是质保计提、关税优惠消失、市场竞争加剧三个因素叠加。

3、霍尔木兹海峡附近一商船遭袭，船上有30名船员

中场则是红黑军团变动最集中的区域，留队、待售、引援三条线同步推进。上任4天，英国首相把办公室“搬”向北方：伦敦权力中心要松动了？据《全市场》消息，葡萄牙国脚伊纳西奥依然是阿莫林最渴望得到的球员。

4、6.24世界杯推荐：捷克vs墨西哥

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。

5、撕下袖标，还是克罗地亚队长！告别赛场，还是无所不能的魔笛！

不止改变耐克自身销售版图，更将重塑国内运动鞋服行业近三十年形成的分销底层逻辑。

6、郑秀晶，你要知道我十年前就跟着你了_网易订阅

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。

“快”与“变”的背景下，企业Agent如何活下来，如何赚到钱，如何实现商业闭环，这些最现实的商业问题中隐藏着AI创业者最深的焦虑。

最近一场友谊赛2-1击败克罗地亚，心理上占据一定优势。

7、中方：立即停止一切对抗行动

上市时间或许仍在迷雾中，但极佳视界正在以惊人的速度，冲向资本市场。

那些完成了技术储备、打通了全球合规、建立了品牌护城河的企业，成年礼之后将是更广阔的星辰大海。

8、消息称英伟达已向AIC下发涨价通知，各显卡厂商全面封仓、暂停出货

最近一次交手是在2024年10月的国际友谊赛，瑞士2-0完胜阿尔及利亚。

我们跟他们一刀两断，包括互访。

这并非凭空推测，公司合规漏洞、安全事故等问题频发。

综上所述，加上希望看到梅西拿下两座大力神杯，还是看好阿根廷夺冠吧！ 双方有过4次交手，西班牙3胜1负，都是友谊赛。