智谱CEO张鹏在2026年4月的业绩电话会上表示：「以智能上限为壁垒，以API为主要产品形态，这是Anthropic和智谱正在兑现的商业路径。

1、mk体育 本次是队史第五次闯入世界杯决赛圈，时隔12年重返世界杯淘汰赛。

北方华创的前身为苏联援建中国的电子厂，之后历经多次重组整合，于2016年由北京国资委主导形成今日北方华创的基础，并将半导体设备作为战略突围方向。mk体育目前阿莫林已与米兰签署一份直至2029年6月30日的长约，他将在补强阵容的引援和夏季可能进行的出售中拥有重要话语权，这一点和阿莱格里执教时期形成鲜明对比，阿莱格里虽为名帅，但在转会操作上话语权十分有限。

2、一届世界杯狂赚15亿，阿迪达斯做对了什么？

但法国队同样拥有卫冕冠军的底蕴与极其深厚的阵容厚度，德尚的临场调整能力与球队在关键时刻的球星闪光，往往是打破僵局的利器。

3、29岁DPOY！掘金正式签约，堪称闷声发大财！

纵观全场，法国队确实展现出了令人窒息的压制力。

4、原来 Supreme 店里还卖这些牌子？很多人都不知道…

GP们果断转向冲向省级大母基金、中央企业或者链主企业。

5、史上最难进入的百年赛事，观众席藏着另一场大戏

而极佳视界这样的"大脑”公司，数据需要通过客户合作获取，主动权不在自己手里。

中国每年进口DRAM约300亿美元，长鑫2025年全年营收折合约86亿美元，自给率不到三成。

整场比赛火药味十足，阿根廷球员显然将限制贝林厄姆作为核心战术，上半场多次通过踢拽和推搡试图激怒这位英格兰核心。

6、C罗的沙特首冠，来得正是时候

英格兰以L组头名身份晋级淘汰赛，小组赛首战4比2击败克罗地亚，次战0比0战平加纳，末轮2比0完胜巴拿马，整体表现稳中有升。

但很少有投资者记得，仅仅十年前，这家龙头公司还深陷专利悬崖的泥潭，陷入“失去的十年”。

7、十年了，为什么鬼怪CP还能让人美美嗑上？

不过巴萨仍未排除再次报价的可能。

从市场表现来看，畅享90 Pro Max 1699元的起售价，在当前千元机市场普遍“涨价缩配”环境下显得格外有冲击力。

8、数字丝路发展论坛｜法基尔·马赫布卜·阿纳姆：携手构建数智健康丝绸之路

从市场数据看，AI手机的前景确实令人振奋。

这场决赛的含金量，从一组数字便可见一斑：两支球队合计拥有四座世界杯冠军——西班牙一座，阿根廷三座。

据《独立报》报道，阿森纳主帅阿尔特塔对阿尔瓦雷斯欣赏已久，如今枪手正在加紧行动，希望补强锋线。

9、WAIC2026，中国联通成功举办AI赋能新型工业化发展论坛

梅西的这次“发火”，争的不是特权，而是平等的职业尊重。

这名年仅19岁的巴萨小将，帮助德拉富恩特的球队锁定了一张世界杯决赛门票。

10、最新安全评估报告：GPT、Claude五款模型集体作弊，GPT-5.4比例最高

这是国内第一次对“手机端侧AI”进行集中备案。

尽管经常是三中场中的首选，但法国人在最近三个月里被换下的频率越来越高，有几次甚至没能拿到首发。

1、甘肃肃南：祁连山国家公园（候选区）风光旖旎

这正是算力服务和算力供应链之间的分水岭。

2、山东高速男篮官宣：陶汉林、高诗岩、陈培东完成续约，刘毅离队

这位赛季末复出的“超级替补”，用连场制胜的表现证明了自己的价值，成为了西班牙队晋级路上的关键先生。

3、被华为、阿里、美团追捧，这家「Token工厂」为何着急IPO？

英格兰在图赫尔的执教之下，踢得非常现代化，但球队遭遇了右后卫的用人荒，詹姆斯伤愈刚恢复训练，宽萨停赛2场，就看图赫尔如何排兵布阵了。莫利纽克斯三杀助南方勇士逆转 百人赛8分险胜威尔士火焰主裁判随即改判，取消了帕雷德斯的黄牌，并向恩博洛出示第二张黄牌。

4、育儿补贴，有新消息！

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。

5、杜锋下课连锁反应：广东男篮5将命运改写，3替补迎转机，2人恐离队

据NeedToKnow报道，航班取消后，航站楼里到处是和衣而眠的旅客，行李提取处也是一片混乱。

6、京粤大战第二现场化身春日露天派对，首钢园大跳台等你来！

后防线上，鲁本·迪亚斯领衔的防线稳健可靠，坎塞洛和努诺·门德斯两翼齐飞，助攻能力极强。

当时体育总监贝尔塔负责加强锋线，阿尔特塔对这位西班牙国脚颇为欣赏。

卖出一台创作工具，与让用户每个月继续创作，是两笔完全不同的生意。

7、蝉联年薪第一有多难？科比7年领跑，库里10年，那詹姆斯和乔丹？

仅凭创始团队和单一股东资金无法长期支撑这种级别的持续扩张，走向资本市场几乎是必然选择。

AI 会继续扩大模型供给，但它不能替拓竹自动解决需求。

8、全锦赛混双四强出炉，诞生2个不可思议，还有4个不争的事实

许玮透露，即便是英伟达最新一代GPU，在实际推理场景中的有效算力利用率也普遍只有30%至70%，大量昂贵的计算资源并没有持续处于计算状态，而是在等待数据。

决赛即“内战”：无论谁捧杯，马竞都是赢家 随着10名球员的入围，这场西班牙与阿根廷的世界杯决赛，在某种意义上演变成了一场“马竞内战”。

阿森纳官方证实，威廉·萨利巴背部受伤，将"需要一段康复期"，不过法国人无需接受手术。

这是我唯一能说的词，当然，还有悲伤。