彼时，AI 的主战场仍是训练，GPU 凭借通用性和成熟生态占据绝对优势。

1、亚娱体育 而他们的对手，则是39岁依然在创造历史的梅西。

但真正卡脖子的，不只在芯片本身，也在造芯片的机器。亚娱体育但高位逼抢身后留空当、缺乏正统中锋、领先之后容易放松，是德国队的明显短板。

2、以时光造礼序，以匠心立顶豪｜源邸滨湖落客区焕新升级发布会璀璨盛启

”Jobright.ai 联合创始人郑玉典（Ethan Zheng）在钛媒体与 WAIC 组委会联合主办的「WAIC UP！AI 三极夜话」上，用一句话点出了 AI 创业市场的残酷性。

3、王艺迪3-2险胜横井咲樱，美国大满贯女单8强出炉，上届8强换了5人

2026年世界杯半决赛的终场哨声在达拉斯体育场响起，比分定格在0:2。

4、融创西安新十年首作亮相 春藤知屿示范区轻逸启幕

对梅西来说，世界杯的最后一章还没有写完。

5、暑期出游谨防“经济陷阱”

面对西班牙这种能把控球和压迫做到极致的球队，法国队中场既缺乏高压下的出球精度，又无法提供全场防守覆盖，被按死在中场也就成了必然。

目前管理层正在密切关注来自比利时联赛的18岁前腰卡雷察斯，亨克的要价高达4000万欧元。

阿森纳将在8月16日社区盾对阵曼城，五天后迎来英超卫冕首战，对阵升班马考文垂，就此拉开英超卫冕序幕。

6、1964年，毛主席半开玩笑地说周总理秘书太多了，总理：解散办公室_网易订阅

举个具体的：同样在深圳，大厂算法实习月给过万，而一家本地广告公司的文案实习可能只有 1500 还不含饭补。

他肯定了我的天赋，也指出了需要提升的方向，这让我始终保持专注。

7、法国VS英格兰精准预测：赔率泄露天机！法国赢球概率碾压英格兰

综合来看，无论是纸面实力、大赛经验还是球员个人能力，阿根廷的胜算无疑更大。

这场针对数字渠道的大刀阔斧改革，是耐克中国品牌修复价格体系、重塑本土消费体验、扭转连续多季度业绩承压困境的关键举措，更意味着运动服饰行业数十年来的多层分销模式，即将被改写。

8、程靖淇:樊振东15岁一进国乒就打到第三名 让一批人感到绝望了!

说白了，只要顶级人才愿意在入职合同上签字，哪怕一行代码都还没写，公司在下一轮融资谈判桌上的筹码就已经多了几个亿。

不过有消息称，如果离开巴萨，托雷斯本人似乎更倾向于与恩里克重聚。

主教练波切蒂诺惯用4-2-3-1阵型，这套阵容平均年龄仅25.8岁，体能充沛、跑动能力强，是典型的青春风暴。

9、三人进球破纪录却颗粒无收 谁来拿2026金球奖？

其中1966年世界杯小组赛，英格兰2-0击败墨西哥，那一年英格兰最终在家门口捧起了大力神杯。

结语 回顾这场算力战争的全景，一条清晰的逻辑线已经浮现： 算力短缺是表象，算力组织方式落后是本质。

10、意大利主帅：必须重新评估中国队，那个年轻主攻，既聪明又厉害。

据悉，米兰已经与波切蒂诺就一份每赛季税后最高可达500万欧元的合同达成了原则性协议。

但无论如何，梅西足以对自己为国效力所取得的一切感到骄傲，尽管他的国家队生涯起步得格外苦涩。

1、合同直接作废？NBA加大调查力度，伦纳德可能禁赛

另外，在底层基础设施层面，特斯拉正在搭建一条完整的物理AI 产业链。

2、燃爆绿茵！邱县“食代先锋队”整装出征

第一层，成长溢价。

3、“三国奇兵·机甲觉醒”全国首个三国机器人亲子冒险营今日开营

DriveDreamer系列世界模型，官方称目前已经拿下广汽、理想、比亚迪、小鹏等超过30家头部车企客户。我俱乐部万济圆、董可尔、周琪、李雨汧、代梦帆将亮相2025-2026赛季WCBA全明星周末！本届世界杯之前，挪威三次参赛的最佳战绩仅为16强，而索尔巴肯的球队用5场比赛改写了历史。

4、交易杜兰特？火箭队谋求改变，活塞队追求冠军！

【克罗地亚：控制流转化率低下】 格子军团前两轮的表现就像坐过山车，首轮2-4惨败给英格兰，防线被冲得支离破碎；次轮面对巴拿马的铁桶阵，他们全场6次射门，仅仅依靠布迪米尔的抢点勉强拿到3分。

5、反转！骑勇消极浓眉交易，富保罗计划泡汤，詹姆斯下家或浮出水面

后两层溢价全是零。

6、33岁女子为减肥抽脂致死，网友：为了瘦失去底线

彼时的苏州旭创的由刘圣等留美博士2008年创立，是国内最早布局光通信模块的企业之一。

与此同时，针对当下的跑步热潮，以及消费者对于运动服饰专业性的要求逐步提高，滔博还推出了以跑步为主题的直营跑步多品店ektos。

由于阿贾克斯将承担特尔施特根工资中的相当大一部分，需要有精确的法律文件来应对跨境金融监管。

7、1993年，张震怒批军队经商：会引起军队腐败，腐败的军队没战斗力

此前特斯拉靠出售碳排放积分获取的利润相当可观，但随着其他车企的电动车比例提升，对积分的需求下降，这项收入正在减少。

加泰罗尼亚俱乐部上赛季一直在跟踪他的发展，今夏早些时候已与其团队初步接触，了解合同状况和球员本人的意愿。

8、茅台涨了100元，白酒还欠3000亿

世界杯决赛前，哥伦比亚流行天后夏奇拉被问到了一个绕不开的话题：亚马尔能否成为下一个梅西？ 她没有给出任何大胆预测，而是给出了一段相当务实的回答。

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。

DRAM+Flash双线发力，稳稳吃下存储涨价和需求爆发的双重红利。

而全年的Capex指引，更是被提高到了超过250亿美元，并将在未来两三年继续增长。