这种“架构创新+封装升级”的模式，正成为全球头部芯片厂商突破性能上限的共识性选择。

1、熊猫体育 公开信息显示，地平线机器人与大众将通过酷睿程，进一步加强在AI基座大模型领域的合作。

锋线上，29岁的路易斯·迪亚斯是前场最可靠的爆点。熊猫体育后防线上，鲁本·迪亚斯领衔的防线稳健可靠，坎塞洛和努诺·门德斯两翼齐飞，助攻能力极强。

2、MLB选秀分六平台播出照样冷场，球迷：联盟根本不关心我们

如果未能取胜，就必须指望罗马、尤文、科莫出现闪失。

3、落选新秀熬成酋长传奇，54号布莱恩·沃特斯离揭幕战还剩54天

FILA AURA“菁英跑”第三站落地深圳 近日，FILA「菁英跑」系列活动第三站落地深圳，FILA菁英运动代言人王阳与来自华润集团等企业的40位商务人士及媒体，身着全新FILA AURA商务跑鞋，以一场清晨慢跑，共验“稳驭万象”的全场景生活哲学。

4、习近平对基础教育工作作出重要指示

但如今，新的秩序之下，风险投资回归到了风险共担、容错机制与真股权投资。

5、中国羽毛球公开赛：国羽5战3胜，男单全军覆没，石宇奇1-2无缘4强

加时赛半场，马丁内斯触球次数全队最高，62次。

在这场备受瞩目的“成渝德比”中，坐镇主场的成都蓉城与客场作战的重庆铜梁龙经过90分钟的激烈鏖战，最终双方以1-1的比分握手言和。

优先级最高的是卡雷查斯。

6、五届全明星怒怼Skip：先搞清楚事实再说话！53分神迹你装看不见？

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。

其中提出，鼓励发展Token（词元）经济。

7、只打好了开局！郑钦文雅典站不敌两届大满贯冠军，美网正赛资格没了？

但早就在设备零部件国产化上扎实准备的北方华创，回应只有一句话： “公司每年采购自美国的物料比例逐年降低，国产比例不断提升。

而Vaibhav Taneja 补充称，下半年还会进一步增加，未来两至三年持续增长，自由现金流预计持续为负直到2029 年。

8、密西西比当家四分卫微妙批评母校：今年海斯曼造势甜蜜，去年本该如此

对于本金有限的普通人而言，这条路有明显的速度上限。

极致的资源优势，造就了天齐锂业简单直白的商业模式：采矿、炼锂、销售。

这已是过去一个月里，黄金第三次冲击4100美元/盎司失败。

9、冠军+2！吕玉飞、游紫涵斩获省运会冠军

图源：公告截图 而这一负面影响，让滔搏当天的股价一度下挫超20%；7月22日、23日连跌两天，市值蒸发数十亿港元。

波切蒂诺与美国队有一份直至世界杯结束的两年合同，因此他和他的经纪人可以自由进行对话。

10、世界杯头号卧底！英格兰巨星全场隐身！灾难级表现坑惨全队

距离富拉尼、蒙卡达、塔雷与阿莱格里被集体解雇已经过去一周，AC米兰至今没有发布任何一项新的任命，管理层和体育部门的核心岗位全部处于真空状态，而意甲转会窗已经确定提前至6月29日开启，对于米兰这样体量的俱乐部来说，如果迟迟无法确定主帅和总监人选，意味着从季前备战到引援谈判，每一个环节都会陷入被动。

其最新完成的C轮融资，金额达15亿元，由社保基金四川振兴科创基金、工银资本、弘颐资管、敦鸿资本联合领投，厦门国贸资本、上影新视野基金、湖北长江产业投资集团、华策影视等多家机构跟投，老股东合肥产投、东方富海、金浦投资、金华金投、中哲创、财鑫资本持续加注。

1、放着中国一流装备不买，印尼花43亿买印度导弹，普拉博沃赌注已下

极佳视界的估值，已经站在了国内未上市机器人创业公司的第一梯队。

2、伊朗队回应特朗普：唯一该被排除在世界杯外的，是无力提供安全保障的东道主

进攻端极度依赖边路速度突击，扬·迪奥曼德、阿马德·迪亚洛等人具备极强的一对一爆破能力，断球后第一时间分到边路利用速度冲击。

3、正负值-4全队最低！杨瀚森持续低迷 在NBA锻炼一年表现还不如周琦

但不是所有人都难过。下午两点弹劾开庭，莎拉盟友庭审前被捕，马科斯这把赢定了？模型越多，用户越容易找到下一次启动机器的理由；参数越准，失败率越低；创作者越多，平台越能覆盖长尾需求。

4、喜讯！依木兰在鲁能足协杯比赛获得久违首发机会，直接成场上亮点

拓竹已经拥有一个能够持续带动打印行为的内容平台，但这些数据还不能证明，普通家庭已经形成稳定、高频的使用习惯。

5、惊现角球直接破门！武汉女足战平升班马跌至第五

膝韧带伤势将让他长时间远离赛场，巴萨只能再次等待这位关键球员走完又一段艰难康复之路。

6、世界杯打脸操作！图赫尔葬送英格兰决赛！弃用封神王牌太离谱

加盟之后，比西武将有不少展示自己的机会。

25/26赛季，AC米兰经历了高开低走，球队前半段展现出极强的防守韧性和强强对话能力，后半段却一落千丈，欧冠资格至今悬而未决。

场景转换逻辑清晰，叙事完整。

7、18次达阵领跑联赛，带伤征战8个月终手术，19岁新星恐缺席赛季初

在对手顽强抵抗、比赛悬念保持到最后一刻的情况下，控球率高达68%，射门17-5，射正5-2，他们能够顶住压力，用控球优势，用绝杀的方式拿下比赛，这正是一支冠军球队应有的气质。

然而尤文同样面临先卖后买的财务约束，在求购托莫里之前必须先清理加蒂等球员腾出薪资空间，这决定了即便谈判启动，节奏也不会太快。

8、全网3.5亿播放的“大湾鸡”，背后是吸金20亿的体育盛会

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。

凯恩作为单箭头兼具支点做球与终结能力，贝林厄姆的后插上进攻是球队的秘密武器，萨卡、戈登等边路球员的往返能力也能持续制造威胁。

最近一段时期，AC米兰在转会市场上的操作开始提速。

去年夏天米兰以约3800万欧元（含奖金条款）的总价将他从布鲁日带到圣西罗，俱乐部对这笔交易寄予厚望，阿莱格里也从赛季初就明确将他定位为莫德里奇的副手，意图是让这位年轻人跟着大师学习，逐步完成接班。