”郑玉典认为，招聘、房地产、法律等行业的工作流复杂且高度专业化，通用模型公司很难覆盖其中的全部业务细节，这恰恰为专注垂直领域的创业公司留下了机会“AI 会率先改变标准化程度较高、重复性较强的工作环节，但真正进入复杂的垂直行业仍然需要时间。
摘要：红鸟财团在赛季收官战辞退主教练阿莱格里和3名管理层人员后，老板卡迪纳莱和顾问伊布承诺会在一周内敲定新帅和新总监。
” 在基模创业型公司里，DeepSeek和Kimi都是有着独特生态位的独角兽，DeepSeek的克制和开源，Kimi所强调的克制和审美，它不做生活娱乐方向、不做多模态生成。
1、kaiyun官网 此外，克罗地亚的韧性极强，擅长落后追分和加时鏖战，过去两届世界杯的出色表现就是最好的证明。
巴萨因此预判，届时将再次跌出“1比1”规则范围，2027年夏季转会窗的引援注册将受到限制。kaiyun官网技术竞赛2.0：三大战场 如果说2022至2024年的主旋律是扩产竞赛，那么2025至2026年已经切换到技术竞赛。
2、上轮延期收获完整备战周期；上海海港客赴玉溪，全力冲击三分带回上海
他对球队、对挪威的感情，更让人动容。
3、加人队史最烂交易之一：换来厄克曼-拉尔森和加兰德，五年后输得彻彻底底
“导演的能力在下沉，工具厂商需要承担内容的技术承接者角色，把专业创作能力蒸馏成普通人可用的创作能力。
4、中大医院四牌楼门诊部7月27日启用，惠民义诊周同步举行
当然，科莫托更大的可能还是继续外租。
5、“我太不专业了”：红人投手为粗口怒吼裁判道歉
巴黎圣日耳曼正是看准了这一点。
卡萨多面临的最大挑战，来自巴萨中场的阵容厚度。
"目前，保持冷静。
6、印度冰球首对母子上演世界杯传承：母亲1998年征战荷兰，儿子27年后同地首秀
2026年的一些播客已经开始把“回归线下”“真正在场”放进节目议题。
这个动作传递出的是抗和自信，放在当时的语境里，很像是在向主教练下战书。
7、转会窗：凯西要求尤文600万欧元年薪，那不勒斯竞争瑟尔洛特
此消息一出，作为耐克在中国内地最大的经销商，滔搏股价应声下跌超20%。
球队的核心毫无疑问是萨拉赫，虽然本届世界杯只打入1球，但他的串联作用无人能替代。
8、曝湖人给布朗尼标价：次轮签+底薪球员，勇士若追詹姆斯需备此筹码
利率。
由于本赛季意甲球队在欧冠表现不佳，意大利国家队也再次错失世界杯，意甲都是穷哥们、没落豪门、只会免签的老年联赛等吐槽开始增多。
美加墨世界杯E组第二轮，传统豪强德国队将在多伦多对阵非洲杯冠军科特迪瓦。
9、中超7轮积分榜：前三各差2分，2支被扣分球队首进前六，仅2队负分
然而好景不长，在1月下旬对阵布莱顿打入1球后，丘库埃泽已经经历了11场进球荒，近3个月进球和助攻数据均挂零。
俱乐部并未主动推动卡萨多离队，而是将今夏出售他视为一个良机：既能筹集资金，又不会削弱本就人才济济的中场位置。
10、20×10英寸前轮、21×13英寸后轮：科尔维特Z06碳纤维轮毂无底价竞拍
2022年末和2023年末，公司货币资金余额分别只有1055.73万元和4453.02万元。
想明白这三笔账，你就懂了：那 1 万块，买的不是你现在的产出，是你未来的可能性。
1、搭载6.2升V8心脏的经典重生 Shelby Daytona CSX9000续产跑车亮相
" 随后有记者追问，他是否希望留住这位中场，阿隆索只回了一个字："是的。
2、贝克汉姆卷入转会纠纷！MLS正式调查卡塞米罗加盟迈阿密国际
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。
3、韩国队“复仇”成功：这些世界杯“放水队”+“默契队”纷纷出局
然而尤文同样面临先卖后买的财务约束，在求购托莫里之前必须先清理加蒂等球员腾出薪资空间，这决定了即便谈判启动，节奏也不会太快。费兰·托雷斯加时绝杀后坦言“不敢相信”：进球属于4700万西班牙人曼联原本在世界杯期间就已经谈妥了巴西人的转会，但在最后的体检环节却出了问题，埃德森被无情退货。
4、穆里尼奥笑晕！皇马 2.2 亿头号目标铁心来投，复刻昔日三冠王朝
不少玩家早已厌倦了千篇一律的温柔完美男主，期待乙游人设能够百花齐放，接纳复杂、立体、带有争议性的多元角色。
5、生死战没手软！中国男篮大胜中国台北，艰难晋级世预赛亚洲区第二阶段
哥伦比亚则更注重平衡，洛伦索摒弃了传统南美球队重攻轻守的毛病，建立了紧凑防守、快速转换的战术体系。
6、佛罗里达新帅一言惊艳全场 他已等20年终于等到机会
”斯卡洛尼赛后如是说，他在发布会上情绪难平，一度落泪，“我们必须充分认识到这一切的价值，因为这背后付出了太多努力。
毫无疑问，我们想回到欧战。
这家公司十二年的进化，本质上是从“连接兴趣”到“创造兴趣”的战略跃迁。
7、世界杯新星一战封神！曼联锁定 8000 万天才！他是下一个莫德里奇
2017年初，戴文睿（David Ricks）接任礼来CEO，彼时公司市值仅约800亿美元。
引爆点来自上海出台的直接融资“20条”，其中明确提出要推进可控核聚变、具身智能、大模型、量子计算、脑机接口等未来产业企业在科创板上市，并持续扩大第五套上市标准的适用范围。
8、伊劳拉喊话利物浦继续引援：五大世界杯红星成候选，含1亿镑替萨拉赫目标
世界排名第一的法国队本届赛事展现出了恐怖的统治力，六战全胜且轰入16球，姆巴佩以8粒进球领跑射手榜，登贝莱与奥利塞的边路爆破更是让对手防不胜防。
这种对节奏的把控，对球员脚下技术和体能提出了极高的要求。
“业绩不达标回购！上市延期回购！CEO拿房产抵押！” 54号文发布，首次对“私募基金对赌协议”与“名股实债”画出硬红线，严禁变相增加地方隐性债务。
粗略测算，上述新增产能全部达产后，2026年下半年全球锂资源新增供给量，至少可达10万吨碳酸锂当量。
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- 1 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。
- 2 真正值得观察的，仍是其世界模型能否持续转化为稳定收入、真机表现和可复制的规模化交付。
- 3 不过随着马雷斯卡接任曼城主帅，加上B席离队、萨维尼奥和马尔穆什可能出走，福登下赛季仍存在重新获得主力位置的机会。
- 4 在资本、大厂与创业者纷纷涌入的喧嚣中，AI宠物能否跨越高级玩具的鸿沟，成为真正被市场长期接纳的品类，关键在于厂商不再执着于让机器更像宠物，而是专注于让机器更好地理解孤独。
- 5 凭借这次助攻，梅西的世界杯助攻总数达到10次，正式超越德国名宿瓦尔特和巴西传奇佩雷拉，独享世界杯历史助攻王。
- 6 这对南非来说是重大利好，毕竟前两场缺兵少将都能踢成这样，全员齐整的话战斗力只会更强。
- 7 当法国、西班牙、英格兰凭借深厚的阵容厚度和战术执行力稳步前行时，这支身价超10亿欧元的豪华之师却黯然出局。
- 8 法国vs英格兰，比赛看点如下： 第一：两队情况！法国世界排名第三，球队总身价15.2亿欧元，平均年龄26.6岁，五大联赛球员共有24人；英格兰世界排名第四，球队总身价13.6亿欧元，平均年龄13.6亿欧元，平均年龄26.6岁，五大联赛球员共有25人。
- 9 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。
- 10 并且众所周知，他们才是事实上的新科非洲杯冠军，尽管最终被剥夺了资格。
- 11 其中“统一内存编址”被视作灵魂，它意味着不同节点的内存被纳入同一个地址空间，任意处理器可直接读写远端内存，无须经过额外的编解码流程。
- 12 本场比赛的绝对主角，无疑是法国队那两位具备金球奖实力的顶级攻击手。
- 13 进攻端5个进球的产量不算高，但效率还可以，尤其是反击质量很高。
- 14 当球交到他脚下，他能利用身体护球、观察跑位、找到传球线路，让身边的搭档踢得更舒服。
- 15 2021年，司美格鲁肽减肥版Wegovy获得FDA批准。
- 16 属于多米尼克·索博斯洛伊的安菲尔德传奇，才刚刚写下序章。
- 17 亚特兰大那边则有萨里的强力背书，老帅在拉齐奥时期就多次求购里奇，如今在贝尔加莫终于有了合作的可能。
- 18 首先，它用愿景锁定了公司的长期押注方向。
- 19 兆易创新业绩的增长受益于一关键词“利基型”存储。
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