财务成绩单：营收涨了，利润缩了 得益于汽车业务的表现，特斯拉在二季度的营收盘子，表现很不错。

1、b体育网页版 买得太早，可能死于等待；买得太晚，可能死于定价；期限太短，可能死于时间；仓位太大，可能没有等到逻辑兑现，就死于一次正常波动。

还有一件事已经可以确定：对手球迷开始慌了。b体育网页版从门德斯，到库尔图瓦，到如今的萨利巴，西班牙队在淘汰赛阶段接连遇到了对手核心球员因伤离场的情况。

2、温网连续十年诞生新冠军 这一次 21岁的诺斯科娃笑到最后

关键对位一：中场控制权争夺。

3、周末谈星｜狮子月登场，水逆收尾，自信化身人群中的小太阳

马丁内斯执教的葡萄牙拥有本届赛事最豪华的中场配置——B费、B席、维蒂尼亚、若昂·内维斯，每一位都是欧洲豪门的绝对主力。

4、佳明最新数据报告解密：跑步距离与睡眠得分正相关，跑步能明显降低静息心率并提升最大摄氧量

长鑫99%营收仍来自DDR和LPDDR，HBM暂时当不了利润稳定器。

5、“倒贴99元替别人遛狗”，年轻人捧红这门赔本生意

反映于业绩，是锂矿板块的集体预增。

当"实习月薪过万"撞上"实习补贴八百"，那种错位感才这么强。

迈阿密体育场的这个夜晚，既是旧友的重逢，更是通往世界杯巅峰之路的残酷试炼。

6、广厦33分惨败揪出头号罪人！上场24分钟狂输19分，布朗被他坑惨了

如果只认周期底，5到8倍PE，市值在5792亿到1万亿之间，股价8.66到15元。

这位44岁的西班牙教头透露，他已与正在随阿根廷队征战世界杯的恩佐进行了直接沟通。

7、带着奖牌和爱回家，张之臻的人生有了新的责任

2022年，CARIAD与地平线机器人开展合作，CARIAD向地平线机器人提供了9.25亿美元的名义可转换借款（实际到账8亿美元）。

从《德国转会市场》给出的数据看，米兰、尤文等意甲豪门在近两年的转会费支出还是相当大的。

8、0球0助攻0出场！继德尚后，法国又一功臣或离队，齐达内恐也有心无力

2026年美加墨世界杯的硝烟即将在纽约大都会人寿体育场迎来最高潮，当阿根廷与西班牙在决赛舞台上狭路相逢，这不仅是一场关乎大力神杯归属的绿茵巅峰战，更是一场属于阿迪达斯的终极商业狂欢。

图赫尔执教的英格兰同样以4-2-3-1为基础阵型，战术核心是高位逼抢和阵地传控。

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。

9、重庆黔江区一地发生危岩垮塌，巨石掉落阻断道路，当地：影响范围内的群众已转移

2022年，第一大客户广汽集团采购金额80.5亿元，占中创新航营收的四成。

对于志在带领三狮军团走得更远的他而言，如何在高压环境下保持竞技状态与情绪稳定，仍是成长路上必须面对的课题。

10、王毅出席外长会只待一天，不给日方“碰瓷”机会，茂木敏充慢慢等

如果朗尼克最终入主，卡马尔达留队的概率会明显升高。

评估以攻击成功率（Attack Success Rate，ASR）为核心量化指标，衡量模型输出在特定计算校验中的通过情况，判断模型生成的片段方案能否通过合成筛查，并正确重组为原始序列并编码目标蛋白。

1、看见那些不被看见的托举——台里女足逐光记

球队可能会成为意大利版的本菲卡。

2、雄鹿内讧升级？字母哥哥怒怼队友：别为自保往他头上甩锅

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。

3、无视梅西凯恩！皇马传奇评选金球奖四大热门！世界杯头号水货在列

托莫里则进入合同年，面临被清理的窘境。万亿Token调用量验证，PPIO如何打造新一代智能Token工厂？第一次是在1928年阿姆斯特丹奥运会的半决赛上，阿根廷6-0大胜埃及，塔拉斯科尼上演帽子戏法。

4、275天交付12万辆创纪录 蔚来ES8持续领跑40万级大型SUV

尽管存在短期负面影响，滔搏称其将就线下销售安排致力与耐克保持紧密合作。

5、山东男篮客场5分惜败上海，陶汉林燃尽最后能量，克里斯功过参半

第一，Dario带给Anthropic的愿景，已经决定了这家公司要向企业出售技术和产品，支持客户用AI推进现实问题的解决。

6、提前锁定2年1.367亿美金！NBA最体面老将诞生，哈威二少太难了

在这个资本与竞技深度交织的时代，沙特联赛正以不可阻挡的姿态，成为世界足坛不可忽视的新势力。

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。

弗里克还希望挖掘两人的无球跑动能力，这可以在不削弱球队创造力的前提下"解放"——而非替代——亚马尔，让他把更多精力投入到组织进攻中。

7、4换1交易亏麻了！狂砸4.46亿却组瘸腿阵容？湖人离争冠越来越远了

阿根廷与英国围绕该群岛的主权争议由来已久，每逢两国球队在赛场相遇，这一话题便格外敏感。

就在大战前夕，场外却因球衣问题泛起波澜。

8、38岁冠军中锋留队！今夏唯一签约，胖虎要哭了...

由于双方球员参加世界杯半决赛，原定的联赛揭幕战对阵毕尔巴鄂竞技被迫推迟，因此巴萨新赛季首个正式联赛主场将安排在8月29日或30日迎战巴列卡诺。

米兰的心理价位在2000万至2500万欧元之间。

不过，球队也暴露出进攻节奏有时过于拖沓的问题，在面对低位防守时缺乏向前的直线渗透，过多横传容易让对手防线从容落位。

皮尔斯透露，巴黎的法国国脚布拉德利·巴尔科拉颇受红军欣赏，布莱顿的扬库巴·明特、科隆的赛义德·埃尔马拉以及里尔的费尔南德斯-帕尔多也都在考虑范围之内。