这彻底打乱了弗利克新赛季的战术部署。

1、b体育网页版 德明利预计2026年上半年实现营业收入160亿元至180亿元，同比增长289%至338%；归属于上市公司股东的净利润预计为57亿元至65亿元，同比增长4932.74%-5611.02%。

亚特兰大为埃德森标价5000万欧元，而米兰已经在转会市场花费了1亿欧元，同时对中卫位置的调整也在计划之中，若托莫里离队，替代人选锁定葡萄牙体育的伊纳西奥或伯恩茅斯的卢库米，这将导致球队没有足够预算追逐埃德森，俱乐部必须筹集资金。b体育网页版你实习拿多少？或者，你身边有月薪过万的实习生吗？评论区聊聊，说说你看到的真实情况。

2、乌奈·西蒙点赞亚马尔：真正的巨星不只看进球！未来必成足坛顶级球星

“科技小登”为何跳水？ 科技股本轮调整，背后是多重因素的共同影响。

3、赖清德疯狂挑衅，再称“台湾为国家”，大陆最新4个字定性_网易订阅

阿莱格里近来开始频繁使用21岁的瑞士小将，在对阵维罗纳时甚至安排他首发出场。

4、全球限产1963辆、仅一名车主 这台12年车龄保时捷里程仅5千英里

小组头名在淘汰赛首轮的对手会相对弱一些，所以两队应该都会争取胜利。

5、没有了刘国梁的WTT，还能继续狂奔吗？

一边是三次闯入世界杯决赛的传统豪强，一边是连续斩杀世界冠军的亚洲新贵，这场东西足球文化的碰撞究竟会擦出怎样的火花？ 阵容解析：豪门班底vs旅欧军团 荷兰国家队目前FIFA排名第7，全队总身价高达8.14亿欧元，主打4-3-3阵型，15名五大联赛主力球员构成了完整骨架，平均年龄27.4岁正值职业生涯黄金期，尤其是后防线配置堪称世界杯顶配，中场控制力与创造力兼备，锋线速度与经验完美平衡。

美加墨世界杯八强战即将迎来一场焦点对决，西班牙与比利时将在洛杉矶体育场争夺一张四强门票。

挪威vs英格兰，比赛看点如下： 第一：两队情况！挪威世界排名第十九，球队总身价5.9亿欧元，平均年龄26.3岁，来自五大联赛的球员有17人；英格兰世界排名第四，球队总身价13.6亿欧元，平均年龄26.6岁，来自五大联赛的球员有25人、世界杯淘汰赛，挪威以两个2-1的比分先后击败了科特迪瓦和巴西；英格兰先是2-1击败民主刚果，再是3-2击败墨西哥，两场都是极限晋级。

6、助力邵阳民营经济发展！他们这样建言……

副队长欧斯塔基奥的状态也存疑，这些都给球队的淘汰赛前景蒙上了阴影。

字节+努比亚：硬件厂与模型厂的深度联姻 努比亚NaviX Ultra走的是“硬件厂+大模型厂”深度绑定的路线。

7、詹姆斯不选76人的备胎方案：硬工资帽下只剩底薪，八大自由人谁能补位？

一进一出，净赚4500万欧元，同时还享用了一个赛季的金靴火力。

全场比赛，摩洛哥仅仅只有1次射正，其余时间几乎都在疲于奔命地防守。

8、跟队记者曝湖人交易谈判遇阻：老鹰拒收范德比尔特1329万球员选项合同

这场疯狂的人才掠夺，是否在释放赛道泡沫见顶的强烈信号？ 01 海外抢人大战 2026年7月10日，苹果把OpenAI告上了北加州联邦法院。

豪华的基石投资者也成为市场焦点。

数字差了五倍，处理方式反而更轻。

9、梅西首度回应世界杯决赛失利：“痛苦巨大，伤口需要时间愈合”

对"不可或缺"的执念，被"有用"的价值所取代。

联合利华第二次重磅亮相，重点展示了AI赋能包装创新的最新成果“AI for Packaging”。

10、洛杉矶银河迎战圣路易斯城：美职联六战对手未尝胜绩

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。

热身赛数据显示，英格兰场均控球率达到69.1%，场均射门17.6次，被射门仅6.2次，攻防两端展现出统治级表现。

1、世界女排联赛明天7月23日赛程：加拿大VS土耳其，中国VS美国

目前，耐克的直营化改革集中在线上渠道，目前并不清楚其对于线上、线上渠道在货品、定价和会员体系做何区分。

2、包装工训练营下周开练 伤病和阵容轮换是最大看点

两家公司的模型发布不仅多次撞车，甚至技术层面也有默契。

3、1980款吉普J-10:表面光鲜的项目车 需整修无法着车 无底价拍卖

一次错失机会，不会随着终场哨响就烟消云散——它会被人无限放大。德尔加多好意思溜达？梭鱼湾6万多人呐喊！泰山只出不进？外援后腰或泡汤！预测西班牙2-1险胜阿根廷，次选1-1战平进入加时赛。

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

虽然经验相对克勒舍有所欠缺，但厄泽克的年轻化和现代足球理念或许更符合红鸟的建队思路。

5、一直夸个不停，诺里是真喜欢杨瀚森，但开拓者变不成掘金

只有失败成本可承受、成功路径可解释、市场定价可能存在偏差，才具有凸性投资意义。

6、27位学徒交出135件“成长答卷”！江苏文艺“名师带徒”计划2025年度展览见证艺脉薪传

就本届世界杯三场小组赛以及三场淘汰赛所展现的球队实力以及战术内容，可以说法国队是最强的，过去两届世界杯，法国队一冠一亚，成绩非常稳定，本届世界杯的高卢雄鸡进攻更加犀利，姆巴佩、登贝莱、奥利塞、杜埃组成的进攻四叉戟非常犀利。

这笔纯账面利润的入账，虽然缓解了俱乐部的财政压力，但也迫使维拉必须在接下来的转会窗口中重新评估阵容厚度，尤其是在中场位置面临人员流失的情况下，如何填补蒂莱曼斯留下的空缺将成为主帅埃梅里亟待解决的难题。

周远不是现实中某个具体的人，更像是许多人设雷同的投资者集合，当然也包括老衬本人不少经历和缩影。

7、大卫·克罗夫特：2026动力单元让斯帕和银石失去了应有的精彩

“脑机接口第一股”竞速 2026年，脑机接口迎来资本热潮。

先跑出商业价值的主体，不一定是手握超大模型、充沛资源的巨头，也可能是长期扎根垂直产业、深度吃透业务场景的AI创业公司。

8、中国男篮大名单再惹争议！高诗岩又入选，郭士强弃用得分王

再来看费用端。

姆巴佩与登贝莱组成的“双锋闪耀”，让法国队的进攻端呈现出独一档的统治力。

此时最容易出现大幅盈利，也最容易把已经兑现的收益错认成仍然存在凸性。

对于米兰来说，其实里奇水平完全可以满足轮换角色，本土青训的身份还有助于联赛和欧冠的报名，仅加盟一年就仓促套现，这将违背俱乐部的本土化策略。