6月1日Agnes AI上线了API Platform。

1、九游体育 23/24赛季，米兰经历了深度重组，管理层在转会市场上的策略是“雨露均沾”，人均花费2000万欧元。

趣丸科技放弃了面面俱到的通用平台幻想，转而深耕两个具备高情感价值与高交互密度的垂直领域：AI音乐与AI语音。九游体育拓竹第一代产品众筹时沿用了典型的工程师打法，公司 150 多人的团队里约 120 人是工程师，团队在 22 个月隐身开发中造了 700 多台测试机，消耗 3 吨材料。

2、瓜迪奥拉力挺罗德里夺世界杯最佳球员：真正的MVP，全程稳定输出统治中场

两支同样处于转型期的球队在季前赛阶段相遇，双方都要磨合新战术体系。

3、平均身高仅1米79，头球数却排第一！阿根廷被低估，39岁梅西还在进化

当一个行业告别爆发式增长，产能利用率从70%下降到40%并不意外。

4、耐克收回线上“代理权”，滔搏打折甩卖库存，原价499元跑步鞋降至299元；滔搏客服：目前优惠活动属行业普遍做法，不存在低价抛售的情况

然而，厂商集体“砍单”千元机所引发的市场大盘遇冷幅度远超预期。

5、揣着500卢比跑了5年，这个印度飞人要在百米赛道改写历史

有第三方数据显示，该产品上市三个多月单品激活量突破310万台。

费内巴切对莱奥的追逐更为强烈，俱乐部新主席伊尔德里姆决心打造一支能确保欧冠正赛资格并重夺土超冠军的队伍，今夏已先后投入4000万欧元引进格林伍德、1800万欧元签下穆里奇以及近900万欧元引进阿克，如今将引援重心指向左路攻击手。

说实话，卫冕将非常困难。

6、宣传有堂食实际没有，被罚数千元！长沙公布第三批网络餐饮典型案例

第一批用户大多是被旧机器折磨过的人，他们第一次用上 X1 时，看到的是“终于有一台好用的机器”。

同一个宿舍，同样的智商，差的不是能力，是"早知道"和"刚知道"之间那两三年。

7、贝达德愿望成真！帕特里克·凯恩2年800万年薪回归黑鹰

国际足联不再按场次支付费用，改为从各队集训首日起至该国最后一场比赛次日止，按日发放津贴，2026年世界杯的每日补偿标准为4330欧元，显著低于卡塔尔世界杯时期的费率。

嘉年华游戏的另一个作用是，它让游客之间自然而然地产生关联，不再是孤立的个体，而成为彼此的玩伴。

8、本周末上海申花及上海海港的两场中超联赛将延期进行

哈弗茨担任伪九号频繁回撤接应，依靠边锋内切和中场后插上形成多点进攻，首战6人进球印证了这一战术的成功。

他与米兰的合同将在6月30日到期，直到现在仍未做出续约或离队的决定。

无论决赛的对手是英格兰还是阿根廷，状态逐步提升并到达火热且战术体系成熟的西班牙，都将是捧起大力神杯的头号种子球队。

9、卫报：拉什福德将回归曼联，并在卡里克麾下开启新赛季；太阳报：曼联计划新赛季开启前为拉什福德安排转会

AI推理并不是一个单纯的计算过程，而是一个完整的数据流动过程。

由于中场失控，前场外援只能陷入单打独斗，阵地战创造得分效率极低。

10、雅马哈选定马丁2027赛季技师团队 现任林斯首席技师将负责其适应M1

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。

在公司需要上市募资扩产的情况下，这笔分红最大的疑虑还不是分红本身，而是分红用途，没错，实控人不一定是拿钱改善生活，还有一种可能。

1、心碎瞬间！梅西世界杯决赛失利落泪，阿根廷足协：你的泪也是我们的泪

截至本公告披露日，公司在伊拉克市场共部署14支井队，其中9支仍处于停工待命状态，前述停工事项对公司钻完井工程板块生产经营造成一定不利影响。

2、2.4万英里2020款宾利飞驰W12再度上拍：626马力W12配Mulliner套件

自2022年冬天梅西率领阿根廷夺得世界杯冠军以来，C罗却在俱乐部与国家队的处境便屡遭波折，他在采访中多次强调欧洲杯的含金量不亚于世界杯，世界杯不是他的梦想。

3、2027年灰烬杯赛程出台：英格兰北部无男子测试赛，老特拉福德仅办热身与ODI

本赛季的米兰呈现高开低走，上半赛季他们19轮拿到42分（场均2.21），下半赛季17轮25分（场均1.47），直接从争冠梯队跌到了保四都悬的境地。世界杯决赛刚结束，FIFA收获不利消息，39岁梅西这一次真要不踢了" 周日的决赛中，尽管拥有历史最佳球员梅西，阿根廷却未能对组织严密、更具攻击性的西班牙制造实质性威胁。

4、曼联跟队记者谈球队与霍尔的传闻；队报：曼联已经与马努·科内展开了谈判

也因此，拓竹一开始就自研打印机嵌入式控制系统，并在刚有利润时高强度投入社区，因为“纯硬件太辛苦”。

5、梅西赛后含泪自责：我让队友失望了！完成逆转后彻底释怀

提前批、暑期实习、日常实习，名字不一样，全是机会。

6、36岁斯彭斯时隔三年重返拳台，赛前坦言“这可能是最后一场”

这不是微调，而是整套思维方式的替换。

另一笔操作是瑞士中场亚沙里，米兰为他向布鲁日支付了3600万欧元。

然而，“小蜘蛛”之所以被马竞视为珍宝、令巴萨等豪门垂涎，正在于他拥有区别于普通球员的顶级特质——在关键时刻一锤定音的能力，以及打进高难度进球的本能。

7、岚县：王小明主持召开重点农业项目建设座谈会

根据潘兴广场年报，这组对冲累计支付的保费和佣金约为2700万美元，最终产生约26亿美元总回款，其中约21亿美元归属于潘兴广场控股。

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。

8、阿根廷助教为拳打奥尔莫道歉：那不是拳击，动手全因他说了句话

我们从小一起长大，如今能共同享受这些时刻，这种体验无与伦比。

同一条新闻，两种工具，两条不同曲线。

梅西与萨拉赫两大巨星的直接对话，是本场比赛最大的看点。

澳大利亚虽然整体身价只有5143万欧元，FIFA排名第27位，但其实战能力不容小觑。