标哥做过几期揭露加盟商套路的视频，他最终得出的结论是：24年往后，量贩零食行业稳赚不赔的，不是零食生意，不是加盟商，只有品牌方。
摘要：甚至在表明技术追赶上的态度，两家公司都用了相似意义的古文： Kimi在《Kimi K3：智能的新前沿》中提到：“犯其至难而图其至远者，发之以勇，守之以专，达之以强。
第二，它敢于承受长周期的基础设施投入。
1、乐鱼APP 阿莱格里离开后已经迅速着手布局下家，准备挖旧主墙角。
赛迪顾问预测到2028年我国脑机接口产业规模有望达到61.4亿元，2024年-2028年复合增长率约17.7%；中国信息通讯研究院预测，我国2030年脑机接口市场规模有望达到120亿元。乐鱼APP如果说第一轮DTC收回的是利润，那么这一轮收回的就是控制权。
2、国安5主力伤停！3线作战拉响警报，联赛保前8，足协杯亚冠是重点
拉比奥特的去留则与那不勒斯紧密捆绑。
3、别“捂”了！当坐月子遇上三伏天，妇产科医生教你“清爽一夏”
两人同为葡萄牙体育出身，相似的成长轨迹加上同胞身份，理论上能够成为莱奥改变想法的契机。
4、库里在名人堂有展览含金量被粉丝高估！这只是一次商业合作！
比亚迪重庆璧山20GWh产线预计2026年Q3启动生产（混合固液路线），全固态产品小批量量产则指向2027年。
5、曼联启动B计划，4000万挖富勒姆铁腰，卡里克钦点挪威高塔加盟
两家的共同困境在于：“市场关注Capex超过盈利”。
世界杯季军战法国对阵英格兰将会是德尚代表法国队的最后一战，也是第290场比赛，其中球员生涯103场，执教生涯187场，值得一提的是德尚执教法国之旅始于英格兰，终于英格兰。
上赛季，厄泽克转投费内巴切，同样取得了不错的成绩，帮助球队赢得了土耳其超级杯并获得联赛亚军。
6、上新
绝大多数产品创意是由一线的人推出来的，而不是由高管的roadmap驱动的。
据行业公开报道，2026年6月初，一只拟设规模10亿元的消费基金在过会前被叫停。
7、萨尔瓦多会出战？埃斯特乌：明天比赛就知道哪些球员能出场了
还有拉波尔特，真正用经验告诉所有人什么叫老道。
不是那种巨星占据舞台中央的模式，而是更微妙的东西。
8、Solidity合约部署前的20分钟自查清单：资深审计者最常看到的六个陷阱
全年2000亿美元量级的Capex、转负的自由现金流、不断加码的融资动作，都在透支市场对“AI终将兑现”的耐心，而模型能力上的掉队，又进一步加剧了这种不确定性，如果烧掉的钱没能换来最前沿的模型，投入的合理性就会被重新定价。
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。
到今年，这种横向扩张模式正遭遇边际效益递减。
9、终于等到你！刘殿座在国足主场踢泰国首发表现不俗，直接零封对手
决赛面对阿根廷，他的传球成功率高达95%，触球次数位列全场第三。
西班牙用一场2次射正打入2球的高效率完胜本届世界杯头号夺冠热门、之前6场比赛豪取六连胜的法国队。
10、最终变成欧洲杯？世界杯8强全部出炉，欧洲6队美洲和非洲各1队
贝莱德表示，近期科技和半导体股票的急剧抛售属于“反应过度”，并警告市场正在将“AI竞争格局的转变”与“AI投资崩溃”混为一谈。
法国队无疑是本届赛事中最令人胆寒的进攻风暴。
1、干得漂亮！孝感这个小区居民的操作太“飒”了
瑞典队的核心竞争力集中在锋线。
2、白河堡水库“硬核”备汛——
千卡集群落地杭州，国产TPU接受检验 此次落成的杭州国产 TPU 千卡集群，由杭州电信、中兴通讯和中昊芯英共同建设，面向大模型训练、推理和科学计算等场景提供算力服务，它也是中国电信体系内首个大规模国产 TPU 集群部署项目。
3、除了真丝，赫本的田园小衫也不错！
格列兹曼的退役、博格巴的禁赛复出后状态全无以及坎特的老去，让法国队失去了过去几年赖以生存的战术基石。官方：南京同曦签下广东前锋杜润旺Artificial Analysis的文生图榜单 这条路更难，但更有可能走向学术定义上的“世界模型”。
4、2026年6月咨询师培训好课合集
但时间拉长来看，这不过是5月中旬以来股价“腰斩”后的修复反弹。
5、大逃离？莱奥、魔笛决定离开米兰，拉比奥母亲欲携子投阿囧
须臾是中昊芯英的第二代产品，据悉，这款芯片混合精度浮点算力达到 896TFLOPS，8-bit 推理算力达到 1792TOPS，整体性能约为上一代芯片的三倍，单芯片额定功耗为 600W。
6、7.23欧联杯推荐：贝西克塔斯vs中日德兰
一份实习值不值，看三件事：能不能接触核心业务、有没有人带你、能不能写进简历当作品。
中场小将邦多也已被挂牌，标价在800万欧元左右。
2024年飞捷科思成立，公司的名字从Physics化出，取复旦（Fudan）之首字母，成了Fysics。
7、徐州12名学子成为空军准“飞行员”！他们来自这些高中
他很难像在巴萨那样自如，又接连遭遇厄运，连续输掉了2007年、2015年和2016年美洲杯决赛，以及2014年世界杯决赛。
陶冶后来把问题说得很直白：过去消费级 3D 打印领域没有吸引到足够好的工程师，也没有把他们高效组织起来。
8、7-1！国安U20大胜，中场双星梅开二度，获蒙哥马利和国青主帅关注
在那里，他度过了职业生涯的大部分时光，在巴塞罗那书写了属于自己的传奇。
赛后，球迷的吐槽声在各大社交平台炸开了锅。
这支荷兰队摒弃了华丽控球，追求简单有效的得分方式。
翻开Play Time的公开投资组合会发现，这家机构的野心远不止一笔投资。
郑钦文雅典站迎来双重首秀！硬地优势加持，冲美网积分关键一战！
从A+H双上市到实控人被刑拘：她曾与董明珠并肩，却在赴港敲钟前夜被带走
罗德里留曼城还是转会皇马？世界杯金球奖得主宛如鸡肋
锚定“十五五”发展目标 黑龙江四举发力提质升级农产品精深加工产业
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- 1 萨勒马科尔斯的风险点在于创造力不足。
- 2 996 起步、KV 考核、随时可能被优化的试用期，那 1 万块是用青春和头发换的，远没有热搜看起来那么光鲜。
- 3 不过英格兰防线存在转身偏慢的问题，高位压上后身后空当较大，恰好是法国反击战术的针对点，且球队缺少绝对速度型爆点，阵地战被压缩空间后，单点破局能力稍显不足。
- 4 不过，弗兰的执教履历尚显稚嫩。
- 5 在29岁的年纪，为巴萨这样级别的球队常年高强度出勤，身体开始出现磨损的迹象。
- 6 从大二到大三，照着这个节奏走，基本不会错过窗口。
- 7 上赛季在纽卡斯尔，他46场比赛贡献17球5助攻。
- 8 中国芯片，一直被认为是卡脖子的领域。
- 9 数据显示，滔搏营收从2020/21财年的360.1亿元下降至2022/23财年的270.7亿元，两年减少近90亿元；2021/22、2022/23两个财年，归母净利润分别同比下降约11.68%和24.93%；自2022/23财年以来，四个财年累计净关闭门店超过3300家。
- 10 中国市场在全球战略中的角色从全球生产基地变成了出海能力熔炉。
- 11 在那个防守体系尚未如今天般严密的年代，3R的进攻更多依赖于天才们的即兴发挥，观赏性与不可预测性是其最大标签。
- 12 第二，它敢于承受长周期的基础设施投入。
- 13 应用材料、泛林半导体、东京电子、阿斯麦这些国际巨头，拥有成熟产品、庞大客户群、全球服务网络和海量工艺数据。
- 14 由于本赛季锋线集体迷失，AC米兰除了要在夏窗进补新援外，还对已经预签下的小将科斯蒂奇抱有很大的期待。
- 15 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。
- 16 OpenAI、Anthropic等用两三年的时间，“市值”便冲进世界前十，成为头部AI公司。
- 17 长上下文推理需要频繁读取和移动数据，连续调用工具会增加CPU任务，分布式推理不断扩大KV缓存。
- 18 仅就联赛中12次首发而言，法国人5球3助攻的成绩单并不算太差，但缺失的是连续性，他的进球荒已经持续了近3个月。
- 19 他在意甲第5轮对阵博洛尼亚的比赛中早早斩获个人意甲处子球，随后的12场比赛作为轮换登场没有贡献进球和助攻。
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首轮5-1横扫突尼斯，伊萨克1球2助、约克雷斯传射建功、阿亚里梅开二度，锋线双子星完美联动，一度让外界惊呼北欧铁骑归来。
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