他害怕人员流动太快，把公司的核心资料偷走，就给全公司上线了区块链存证技术。

1、米兰体育 英阿大战从来不止于足球本身。

即便如此，由于同样高达449亿美元的季度Capex导致的负现金流，Alphabet的股价也未能幸免，次日下跌超过7%。米兰体育世界杯淘汰赛，阿根廷以3-2的相同比分先后淘汰佛得角和埃及极限晋级，没有边锋，梅西踢得很累；瑞士先赛2-0力克阿尔及利亚，再是点球大战淘汰哥伦比亚晋级。

2、又一次爆料准确！愿后来者超越我，便是中国篮球之幸

战术风格碰撞：传控主导VS高压逼抢 墨西哥主教练阿吉雷打造的是典型的拉美传控体系，场均控球率达到56.1%，揭幕战更是高达61%。

3、全员重聚0人塌房，这8.9分神剧超长售后把观众看泪目了

然而北美之行虽然惬意，这位30岁的“三狮首席太太团成员”却在回程中切身体会了一把“机场地狱”。

4、专栏｜穿搭，是女作家的第二种语言

他各项赛事累计出战38场，其中大多数是替补出场，却已经高效地攻入12球并送出1次助攻。

5、冯小刚近况凄惨，坐头等舱脑袋全是斑块，养女徐朵脸肿原因曝光

这已是过去一个月里，黄金第三次冲击4100美元/盎司失败。

一签赚8300到2.2万元。

到了2023年底，双方签了一份《债权债务确认协议》，把朱双单欠公司的钱、公司欠朱双单的分红款和股权转让款“一笔勾销”。

6、世智会见证国产AI硬核突破，南方基金郑晓曦深耕半导体自主产业链机遇_网易订阅

他和同事迅速提交了专利申请，并计划将GLP-1激动剂推向减肥市场。

这位水晶宫中场的合同将在今年夏天到期，届时可以零身价自由转会。

7、CBA官宣16队外援优先续约权名单：上海广厦广东保留两外援 北京保留杰曼

AI让创作平权，万兴科技靠算力入局OPC创作者 吴太兵将万兴科技进入AI影视创作应用赛道形容为一次“升级”，而非跨界转型。

写"认真负责、吃苦耐劳"，面试官一眼跳过；但你如果自己做过一个小工具、分析过一份公开数据、写过一篇有阅读量的深度稿，那就是硬通货。

8、转动风火双轮，她是轮椅上的大满贯双冠王

在39岁的“高龄”，他依然保持着场均参与近2球的惊人效率，用一己之力扛着球队在卫冕之路上披荆斩棘。

如果届时仍无突破性进展，体育总监德科将启动备选方案，相关前期准备工作已经在进行之中。

Cybercab 已在得州投产，但马斯克打过预防针：早期产量会「慢得令人痛苦」。

9、广厦6人确定离队，多队争胡金秋，朱俊龙顶薪留队，孙总无人问津

而在所有硬件当中，人流量最高的板块，是三款号称“全球首款”的智能体手机。

Anthropic的价值在于，证明了OpenAI之外仍然存在另种可能，为更多门徒指明了探索方向。

10、友谊赛前瞻：布罗姆利迎战水晶宫，英甲新军主场考验英超劲旅

至于如何创新，是否会出现同质化，还需要拭目以待。

过去十年，这笔＂卖碳＂收入撑起了特斯拉利润表的半壁江山，本季它仍占经营利润的47.6%；把它拿走，经营利润只剩下4.84亿美元。

1、当世界杯落幕，我们记住了什么？

能够穿越建设期、爬坡期与技术切换期，而不是按季度考核单一产品线的短期回报。

2、C 罗：这是我的最后一届世界杯

盈利模式同样模糊，在AI硬件领域，200万台出货量被普遍视作“生死线”，而目前即便是明星产品，也并未跨越这条线。

3、西安年轻人新动向：全款买房？

法国队是本届赛事唯一的六战全胜球队，狂轰16球展现了恐怖的进攻火力，同时也是三场淘汰赛全部取得零封的唯一球队。全世界都爱Coco，但她不是做签的后台女相比之下，摩洛哥的星光度稍显逊色，但球队的战术纪律性和整体战斗力不容小觑。

4、空手套白狼！几乎没有代价，喜获三位优质球员，这才是顶级管理层

作为球队队长，这位德国门将去还是留，取决于弗里克的判断。

5、39岁，温网106胜，德约科维奇本身就是奇迹

这三支球队确实都有降级的面相。

6、被建筑学“劝退”的王虹，拿了数学界诺贝尔奖！

米兰的另一个目标是乌拉圭国脚希门尼斯，红黑军团已经与这位马德里竞技中卫展开了实质性接触。

而2025年全球碳酸锂总需求仅150万吨，这一轮新增供给量级，足以彻底改变行业供需平衡格局。

这是一场极具特殊意义的比赛，两队都是队史首次闯入世界杯淘汰赛，无论谁赢，都将创造本国足球的新历史。

7、梅西将打破沉默接受采访！澄清谣言回击阴谋论 密友：他没输不起

自1833年英国武力强占该岛以来，阿根廷历届政府从未放弃主权主张。

据《罗马体育报》透露，有三名主力球员极有可能在米兰对阵卡利亚里的比赛中坐在替补席上观战。

8、WAIC重磅发布！云天励飞亮出芯片、万卡集群、软件栈完整算力版图

第三场比赛安排在8月8日的印尼雅加达，对手是英超切尔西。

关键在于，西甲冠军愿意加价，但加的是附加条款部分，固定转会费这块不会再有明显上浮。

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。

切尔西对水晶宫中卫马克森斯·拉克鲁瓦的追求，正式进入快车道。