进入2026年中期，局面出现变化。

1、博亚平台 格拉斯纳的球员生涯在2011年戛然而止，他在欧联杯预选赛对阵布隆德比的比赛中与队友相撞导致脑震荡，随后脑部硬膜下血肿，疼痛加剧，最终完成了一次存活率只有50%的凶险手术。

谷歌是光交换领域的龙头，其核心技术是OCS（Optical Circuit Switch），在约十年前就已开始布局进行技术探索，并于2022年通过两篇研究论文公开其已实现大规模部署。博亚平台可以说耐克把好赚的、增长的线上收归自营，把重资产的、还在萎缩的线下留给了滔搏。

2、买辆十万的车竟遭嫌弃？！绍兴网友：是我太穷还是都太有钱了？

过去几年，他买过指数基金，定投过科技股，行情好的时候赚过点钱。

3、比利时1比1埃及：顶天立地卢卡库

talkSPORT透露，切尔西“完成了这笔标志性签约”，转会费高达1.17亿英镑。

4、山水水泥(00691.HK)拟8月5日举行董事会会议审批中期业绩

这段“只有投入、没有产出”的阵痛期，考验的不仅是马斯克的决心，还有资本市场的耐心。

5、老兵奇迹！比利时黄金一代的进化与传承

一个进球治不好焦虑。

尤文、马德里竞技和那不勒斯都在密切关注他的动向，那不勒斯尤其积极，目前吉拉已经向拉齐奥传达了不续约的意愿。

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。

6、重磅: 大众计划裁员10万，关闭4家德国工厂

若下半年锂价中枢回落至14万元/吨，公司盈利水平至少缩水三成。

一个共识是，在一些传统基准测试上，中国模型过去追赶海外模型「御三家」的时间大约是6到9个月，但随着中国模型厂商发布速度的提升，速度差在被缩小。

7、开源凭证网关OneCLI来了，让AI代理调用API时再也碰不到真实密钥

多家机构最新预测，2030年全球AIDC储能需求将达300至400GWh（GGII预计突破300GWh，行业乐观预测指向400GWh），相当于2025年规模的20倍以上。

1/16决赛中，摩洛哥遭遇荷兰，这场强强对话打得异常激烈。

8、法国6比4英格兰：姆总萨卡诚信互刷

第55分钟，罗杰斯助攻戈登打破僵局，英格兰一度看到了时隔60年重返决赛的希望。

米兰引进恩昆库的操作也没能在锋线带来积极变化，他的引援成本为3700万欧元，成为去年夏窗的标王。

从数据上看，他的射正率仅为23.1%，传球成功率71.9%，在高强度比赛中对球的处理还显得有些稚嫩。

9、UAW主席选举前遭背刺陷贪腐，费恩指对手窃选舞弊

还有一件事已经可以确定：对手球迷开始慌了。

现年29岁的蒂莱曼斯正值职业生涯的成熟期，他不仅拥有丰富的英超征战经验，更在本届美加墨世界杯上作为比利时国家队队长表现抢眼，出战5场贡献2球，展现了极佳的竞技状态与大赛抗压能力。

10、闪评

相比于自带光环的互联网大厂和高估值的明星大模型创业公司，垂直AI厂商以贴近用户场景、自我造血能力的姿态，默默走到了AI时代的舞台中央，成为既务实又有生命力的样本。

两支球队分别排名世界第10和第18位，水平在伯仲之间。

1、欧洲房产税全景观：比利时最贵，马耳他塞浦路斯几近免税

第一个理由在于，弗里克希望在执教巴萨的第三个赛季拥有更丰富的进攻武器库，尤其是为了实现他公开宣称的欧冠梦想。

2、北大、澳门理工等发布首篇面向疾病演化动态预测的世界模型综述

英格兰在图赫尔的执教之下，踢得非常现代化，但球队遭遇了右后卫的用人荒，詹姆斯伤愈刚恢复训练，宽萨停赛2场，就看图赫尔如何排兵布阵了。

3、终于来了！广东队撤下杜锋主帅位置，新主教练正式曝光！

据行业公开报道，2026年6月初，一只拟设规模10亿元的消费基金在过会前被叫停。注意！7月1日起，和静这些路段将启用交通技术监控设备西班牙是他梦开始的地方，更是职业生涯达到巅峰的地方，如今他将以对手的身份，面对那些熟悉体系下的拉玛西亚师弟们。

4、辽篮热身赛险胜吉林，于善元迎来首秀，李虎翼涨球明显，赵森令人眼前一亮，付豪依旧最稳

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、詹姆斯会加盟哪支球队？听听布朗尼怎么说

公司处于利润拐点之前，新产品已经完成，几家客户开始试用，但续约率、客单价和销售效率还没有形成足够长的记录。

6、今天520，朋友圈很安静，为什么大家都不过了？

西班牙又目睹了对手阵中一名关键球员因伤退场。

九、一份不踩坑的实习节奏 很多人说"晚知道"，其实不是不知道，是没节奏。

“一切发生得太快了，从热身到替补登场只有十几秒，我甚至来不及思考。

7、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！

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。

亨克对于卡雷察斯的态度十分强硬，俱乐部刚刚与球员续约至2029年，不存在出售压力。

8、谁还全价买大牌家具啊？花一半的钱就能配齐全屋！

而且大厂高薪岗对应的是极高强度。

数据显示，滔搏营收从2020/21财年的360.1亿元下降至2022/23财年的270.7亿元，两年减少近90亿元；2021/22、2022/23两个财年，归母净利润分别同比下降约11.68%和24.93%；自2022/23财年以来，四个财年累计净关闭门店超过3300家。

亚沙里是去年夏天米兰最贵的引援之一，管理层在经历了艰苦的谈判之后，才以3600万欧元外加奖金的价格将其从布鲁日签下。

在弗利克手下，霍安·加西亚已经确立了自己作为长期首发门将的地位，这位俱乐部队长面临着出场时间大幅缩水的局面。