接下来的七到十天对于米兰来说十分关键，朗尼克给或不给答复，伊布与卡迪纳莱之间能否找到权力分配上的折中点，以及俱乐部能否先找到“法布雷加斯风格”的主教练，都会在六月中旬逐渐清晰。

1、米兰体育 2025年7月，工信部等七部门联合发布《关于推动脑机接口产业创新发展的实施意见》，提出到2027年要初步建立起先进技术、产业与标准体系，到2030年要形成安全可靠的产业体系，培育2-3家具有全球影响力的领军企业和一批专精特新中小企业。

防守端，球队战术纪律执行力强，防线组织严密，双后腰配置构筑中路屏障，整体防守层次清晰，补位及时。米兰体育这已是中国央行连续第20个月增持黄金。

2、无效减脂行为大赏，看看你中了几条？！！_网易订阅

一方面，它为中国模型提供一个看得见的方向：通过开源卡位模型心智，利用模型架构创新和工程化能力能降低训练、推理成本。

3、因空气弹簧缺陷，小鹏召回3.3万辆X9汽车

西班牙的核心竞争力在于中场。

4、CBA半决赛4名高水平外籍裁判出炉：欧洲两人 韩国泰国各一人

后防线由马竞铁卫希门尼斯领衔，不过巴萨核心阿劳霍因伤确定缺席首战，这对乌拉圭的防线稳定性是重大打击。

5、松下中国总裁赵炳弟：期待在成都寻找更多合作机会

万兴科技的“回流”可能标志着一个转折：中国出海企业正在从“单向输出”走向“双向循环”。

至于KV Cache的不足问题，AI90通过将KV Cache从HBM卸载至高性能SSD，构建"HBM+DRAM+SSD"三级存储体系，让原本受限于显存容量的大模型推理拥有更大的缓存空间，缓解长上下文场景下的显存压力。

再看稀缺溢价。

6、8点1氪丨国行苹果AI功能完成备案；三家共享单车上调起步价；知情人曝DeepSeek开始筹备IPO

发起请愿，你得有自己的私人飞机，你不该受这种罪。

这样的融资节奏，在国内具身智能赛道也十分少见。

7、总决赛前瞻：尼克斯1.7亿首发猛如虎，但马刺的两大优势太明显

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。

关于AI规模化落地究竟卡在哪个环节，以及存储在其中扮演什么角色，业界仍然有很多的讨论和思考。

8、上海队做出了1个重要的决定！

公司随后又发布Maker H01机器人本体，以及真机、手持和第一视角数据采集设备，试图把模型、数据和硬件连接成一个闭环。

库巴西在本届赛事中的表现同样堪称惊艳。

今年夏窗，米兰的引援预算为5000万欧元基础外加出售球员收入，其中租借球员的买断收入占到大头。

9、曾加：恭喜乌奈-西蒙打破我的世界杯不失球时长纪录，这十分不易

赛后，球迷的吐槽声在各大社交平台炸开了锅。

中场是加纳的关键所在，帕尔特伊攻防一体，既能拦截防守，也能送出长传串联进攻。

10、山西新主教练确定，胡明轩膝盖伤病未愈，刘晓宇重返北控担任助教

相较于前任主帅阿莱格里的3-5-2体系，阿莫林的3-4-2-1架构中的双前腰配置，更符合恩昆库在莱比锡时期的活动习惯，即在禁区前沿的肋部空间持球、内切并完成最后一传或射门。

眼下他正拖着这支球队往前走。

1、很多人降血脂，只会少吃油，真正该多吃的是这 5 类食物

这不是一个球员从第一场扛到最后一场的故事。

2、GPU原生，认知驱动：星环科技面向AI Agents的新一代AI数据库

” 因此，在杨晓煜看来，两点并不矛盾，“我们有AI能力，有服务能力，可以向前端获客视角延伸。

3、文班：降薪续约是不希望马刺冲冠受拖累 登上2K27封面梦想成真

这张地图的跨度，比很多人想象的大。论4K+机型：苹果占比99%，华为占比53%第三，Coding能力的泛化使用，不但推动了Agent的快速发展，也给Anthropic带来了实实在在的营收增长。

4、3个月2冠2亚，温瑞博4-2吉村真晴夺太原站男单冠军，成国乒三哥

这意味着海量的KV缓存、智能体的长期记忆、频繁调用的上下文数据，都可以在一个统一的逻辑空间内高效流转，无须在各个节点之间反复搬运。

5、海德超新星冠军赛分站赛收官，我们珠海总决赛见！

奇克的合同将于2027年夏天到期，若今夏无法售出，明夏将面临零转会费流失的风险，管理层和球员团队正在为其积极寻找下家。

6、斯波谈字母哥加盟：我们希望打造一支顶级防守球队

2026年的WAIC让AI Infra空前热闹，但这份热闹主要集中在供应链端。

除此之外，名单上还有多特蒙德的吉拉西、利物浦的努涅斯以及阿森纳的热苏斯。

如果二人离队，那么米兰必然会再进补1名中场新援。

7、长沙占车位持续发酵，恶心一幕出现！闵先生被质疑，还不止一条

8人将带着世界冠军的奖牌归来。

然而，这突破500万的签名数却饱受外界质疑。

8、Scotto：奇才将于浓眉下个月获得续约资格后与其展开谈判

这个架构思路与Claude Code的多Agent协作异曲同工。

此外，即便朗尼克同意出任米兰总监，也要等到他带领奥地利国家队参加完世界杯，如果奥地利从小组赛成功突围，他将等到七月才能投入到米兰的实际工作中。

尽管俱乐部本财年仍以轻微亏损收官（尚待即将召开的会员大会最终确认），但管理层决定不再单纯为了账面数字而仓促推进可能损害竞技规划的交易。

半场结束，阿根廷仍然颗粒无收。