Jobright.ai 将 AI 深入这些具体工作流，并通过数据持续优化用户价值、付费转化和获客效率。

1、开yun体育app官网 AI的算力竞赛动辄涉及百亿级的投入，单张高端AI芯片价格就能达到数十万元，一次完整的大模型训练周期成本更是可达数亿元。

克鲁克在社交媒体上写道：“独家：切尔西近期对亚历克斯·斯科特的接触被伯恩茅斯拒绝。开yun体育app官网核聚变的右尾可能很大，可在右尾到来之前，公司仍要面对研发投入、融资、稀释和技术失败等现实问题。

2、三年超十家车企数十款车型！空调喷粉成通病，降本惹的祸？

两支球队风格迥异、各有所长，这场对决注定充满看点。

3、苹果被指缺席AI竞赛，为什么华尔街反而给出380美元目标价？

AC米兰将于7月13日开始他们26/27赛季的季前训练，球员们将在早上集合进行体能测试，通过后下午正式参加阿莫林的首堂训练课。

4、荷兰3-4出局科曼乱换人！有马伦不用+2替补点球不进，利好法国队

Cricut与拓竹共享相似的商业结构：先出售一台创作设备，再依靠设计内容、软件工具、耗材和订阅，延长一笔硬件交易的生命周期。

5、重庆大足：“青春小店”有了创业托举

足球从来不是简单的剧本，但它确实偏爱那些充满戏剧性的巧合。

又与地平线机器人合资成立了一家子公司酷睿程，CARIAD、地平线机器人分别持股60%、40%。

不过，多位国资母基金及地方平台负责人公开或私下表示，暂停立项与会商并非针对某一家GP，而是相应全流程合规风控的要求。

6、眼睛是“脑梗”的晴雨表？医生忠告：眼睛若有5个异常，及时就医

“成本少”不等于购买价格便宜的期权。

” 亲眼看过两家赚钱的店后，他才下定决心。

7、申花幸好没有放走他！如今从离队热门逆袭成王牌主力，值得期待

法国队目前的尴尬处境，像极了当年被巴萨“溜猴”的皇家马德里。

他将球队0比2不敌西班牙的半决赛失利，归咎于战术和技术层面的失误。

8、成交价501块！二级肿瘤专科医院终于卖掉了！

然而好景不长，在十六强赛对阵塞内加尔的比赛中，他在第56分钟被提前换下，彼时球队正陷入被动。

当然，除了托莫里外，其他3人并非全都会被清洗，而是有可能丢掉首发位置。

本质上是学术基准测试，以仿真环境为主，并不能完全等同于真实工厂或家庭里的表现。

9、溜溜梅港股上市全解析：从50元起家到95亿市值，小品类突围的教科书和隐藏的三道坎

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。

AI短剧将成为短剧全球化的最大增量。

10、《八仙！》导演牟正洋在人民日报撰文

最近又多了一个更漂亮的词：奥德赛时期。

德国人创造了3200万欧元价值，法国人则带来2210万欧元收益。

1、扎克伯格喊话“爱叫我们什么就叫什么”：在AI争议中用怀旧推销Meta的未来

特斯拉在财报中明确表示，较低的车辆平均售价以及车型结构变化，同时拖累了收入和营业利润。

2、美沙核协议引发以色列战略焦虑，美以分歧扩大

瑞银将黄金2026年9月、12月以及2027年3月和6月的目标价维持在4400美元、4600美元、5000美元和5200美元。

3、烟台高新区再添市级知识产权优势企业

世界杯半决赛，法国0-2不敌西班牙，英格兰1-2遭卫冕冠军阿根廷逆转落败。王海腾兼任国家矿山安全监察局山西局局长美国黄金交易所分析师Jim Wyckoff的点评直指核心：“油价上涨推升债券收益率，收益率上扬，是黄金多头的敌人。

4、笔墨忆项公 山海仰先贤 读《公仆榜样》

【南非：防守反击的极致演绎】 南非能从A组出线，赛前恐怕没几个人能想到。

5、阿根廷队向中国广西灾区捐赠物资，所以我支持英格兰队

目前尚未就续约展开任何谈判。

6、市值仅差18亿，地平线机器人与Momenta贴身肉搏

尤文图斯典型的例子包括库普梅纳斯和道格拉斯·路易斯，两人花费近1.1亿欧元，还有尼科·冈萨雷斯、劳埃德·凯利以及奥蓬达，后者本赛季34场比赛只打入2球，租借费略超300万欧元，强制买断费4000万欧元。

这已是过去一个月里，黄金第三次冲击4100美元/盎司失败。

埃德森的战术价值在于充沛的体能覆盖、强硬的对抗能力以及由守转攻时的纵向推进效率。

7、曼联激活解约金，比利时队长蒂勒曼斯4100万欧元登陆老特拉福德

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。

我不想抹杀我们此前所做的一切，但这场比赛西班牙确实展现出了更高的水准。

8、卡福丨马尔蒂尼能够复兴意大利足球

久保建英、镰田大地、堂安律组成的中前场传切配合娴熟、边路突击能力突出。

要想赢得这项锦标，每个人都必须付出百分之百的努力。

通过跨学科、跨产业的观点碰撞，论坛展现了AI正从单一技术工具发展为驱动产品创新的核心能力，也进一步体现了联合利华携手生态伙伴共创未来创新生态的实践探索。

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。