中创新航2023年全年归母净利润不到20亿元，这一刀下去直接倒亏。

1、万博max体育 DriveDreamer的价值，是生成和模拟这些现实中昂贵、危险或者极少出现的驾驶场景，帮助车企训练、测试自动驾驶系统。

这一次，他做到了。万博max体育结果生意一天比一天差，不到一周，员工就裁到了三个人。

2、备战美网开启冲刺，兹维列夫重回纳达尔网球学院集训

中东地区沙特、阿联酋的大型光储项目密集释放，单体规模动辄数GWh。

3、广东赢球却迎坏消息！王少杰离场挑衅球迷，赛后一行为恐难逃处罚

典型的如主营锂、钾的盐湖股份，即便在周期下行的2023年、2024年，低成本的盐湖提锂依然能够盈利，叠加氯化钾业务加持，该公司在此两年的盈利分别下滑49.17%、41.07%，2025年就已经重回增长通道（+81.76%）。

4、恭喜火箭队！休赛期再签1人，顶级投篮教练加盟，曾与乌度卡共事

有错失的机会，也有把握住的机会。

5、弃用庞峥麟！郭士强怎么考虑的

值得注意的是，后防核心蒙特斯揭幕战染红将缺席本场比赛，这对墨西哥防线是重大打击。

维蒂尼亚和若昂·内维斯搭档双后腰，既能防守拦截又能出球组织，保证了中场的控制力。

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。

6、印尼巴布亚省发生5.4级地震

然而，在失去萨拉赫之后，主帅安多尼·伊劳拉正集中精力再引进一名边锋，而巴尔科拉正是俱乐部的首要目标。

当然，10次错失重大机会这个数字，对他在队内的位置确实不利。

7、“余生好好走”，前央视主持人王小丫，病床上的留言催人泪下

长鑫科技7月27日上市，发行价为8.66元/股 7月23日，长鑫科技公告称，公司发行的人民币普通股股票将于2026年7月27日在上海证券交易所科创板上市。

换言之，如果数据无法被有效保存和调度，再强大的模型也无法持续进化。

8、谈崩了？洛夫顿社媒不满上海男篮言论曝光：“他们不想让我回去”

阿莱格里的合同至2027年，净收入500万欧元，相当于税前900万欧元。

虽然尚未确认，但这届赛事无冠而终，可能意味着他与阿根廷队的就此告别。

”礼来用万亿市值，为这句两千年前的箴言写下了最昂贵的注脚。

9、字母哥：我不在GOAT讨论范围里，在热火赢得总冠军或许可以

靠着这套逻辑，这家机构已经投出了足球游戏公司Sorare、智能健康戒指Oura等多家独角兽项目，格列兹曼与英格兰球员埃里克·戴尔等约40位运动员一同成为这家机构的出资人。

彭博社当天报道，在美国股市下跌前，Kimi K3发布，性能有望与OpenAI和Anthropic最强大的产品相媲美。

10、国际足联官方：将对世界杯决赛后两队冲突进行调查

接下来，阿根廷队将在半决赛中迎战刚刚淘汰挪威的英格兰队，一场万众瞩目的“英阿大战”即将上演。

首先，开源所带来的成本投入和克制商业化战略下的盈亏平衡。

1、我花40万追的老公，被公司亲手毁了

可以说，DNA合成筛查是防止生物技术被滥用的“第一道闸门”。

2、AI竞赛并非单维竞速

这个东西，我们弄丢了。

3、2024年中国折叠屏手机消费洞察报告

2026年上半年，全行业新增规划项目超过65个，规划产能超1500GWh，总投资超2200亿元。法网首轮失利 排名跌出100位 郑钦文不得不面临的现状游戏长线运营几年后，老角色的人设、故事线、互动模式早已定型，可常规内容迭代很难再带来流水增量，玩家的消费热情和活跃度也会逐步钝化。

4、Labubu这么丑的玩意儿，买了不迟早得扔么？

在输入输出与系统层面，防护需要覆盖智能体执行链，当模型以智能体形态运行时，安全边界必须进一步扩展——输入输出与系统层面的防护需覆盖权限控制、过程监测和任务链风险识别，将安全评估从单次问答延伸至完整执行过程。

5、又摊上事了！央媒表态弃用后，韩红再迎“噩耗”，走了张碧晨老路

日本队则遭遇毁灭性打击：队长远藤航临阵伤退并宣布从国家队退役，中场防守屏障缺失；边路爆点三笘薰因肌腱拉伤落选，一对一突破能力大幅下降。

6、新一代理想L6发布，售价24.98万元

从业者还有一个疑问，如何平衡风险和国资属性？ 54号文在砍断“明股实债”的同时，也提出了建立“尽职免责与容错机制”。

随着姆巴佩和登贝莱的状态全面爆发，这支独一档的法国队正高歌猛进，向着大力神杯继续昂首挺进，并且无可阻挡。

到了2023年底，双方签了一份《债权债务确认协议》，把朱双单欠公司的钱、公司欠朱双单的分红款和股权转让款“一笔勾销”。

7、肉搏缠斗难破铁桶！法国1-0胜巴拉圭，姆巴佩点球一剑封喉进八强

“假如我是做化工原料的，压一个简单的水瓶，大概率比专门做瓶子的厂商有优势。

在那些并肩作战的日子里，每当对手试图通过身体对抗欺负这位英伦少年时，哈兰德总会挺身而出，用强壮的身躯和身高优势震慑对手，为队友撑起保护伞。

8、央视传来消息伊朗击毁 12架美军机！大批美军被抬走，特朗普找帮手

德国人去年在打出高光赛季后以3500万欧元固定转会费加500万欧元浮动的价格转投纽卡斯尔联。

赛道头部企业纷纷加速资本化。

此外，南非双核复出后，中场实力明显提升，而加拿大失去了科内，此消彼长之下，南非中场甚至可能不落下风。

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。