(本文首发于钛媒体APP,文|TechPulse,作者 | 张帅,编辑 | 盖虹达)7月21日,外媒报道称,世界模型创业公司极佳视界(GigaAI)正在讨论最快于2026年赴港上市。
1、hth官网登录 过去长期无实质投资、靠吃管理费存续的区县级微型僵尸基金,正面临强制注销与清算,资金被收回财政统筹;那些签约规模大、实际到位率低于20%的“名存实亡”招商基金,正在被缩减规模或撤资。
上赛季,特别是在欧冠四分之一决赛对阵马竞的淘汰赛中,球队的进攻几乎完全依赖于亚马尔能否从帽子里变出兔子。hth官网登录单就技术特点而言,身高188㎝的科斯蒂奇不仅能像正统9号一样在禁区里肉搏,还能频繁回撤到中场拿球、组织和串联,模板有些像热刺时期的凯恩。
2、威廉·兰克希尔以1170万欧加盟米堡,签约五年
单看数据,和他在曼联时期基本持平,但围绕他职业态度的讨论从未消散。

3、中超8轮积分榜:前5积分均上双,申花落后榜首12分,仅剩1队负分
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。
4、核桃+费利佩跑不动了,罗慕洛没作用了!蓉城血性踢没了,主帅太固执了
这和上海工厂投资期截然不同:那时账本上算的是土地、厂房、产线,每一美元资本支出都对应可预测的产能爬坡和成本下降曲线,18个月后就能看到正现金流回流。
5、美防务圈突曝猛料!美军战略粮仓被掏空,拿什么跟中方硬耗到底?
考虑到双方防守都很出色,常规时间可能难分高下,平局的可能性不小。
瑞士队(第十四,升5位)凭借闯入八强的出色战绩大幅跃升,挪威队(第十九,升12位)同样杀入四分之一决赛,排名飙升12位,进步最为显著。
尽管比利时队在上半场结束前由德凯特拉雷头球扳平比分,但西班牙队并未慌乱。
6、10分钟,他们保住了24.6万!
55分钟过去,梅西依然是全场唯一保持百分之百传球成功率的球员,只是他在比赛中几乎没有多少存在感。
单是这二人就已经花费了俱乐部1亿欧元。
7、CCTV5+直播京蓉大战!蒙哥马利PK约翰,斯帕伊奇+拉莫斯防死费利佩
其中维蒂尼亚和内维斯身价均高达1.4亿欧元,两人组成的中场双枢纽,攻守兼备,技术与硬度并存。
告别算力军备赛,一个垂直AI商业化新故事 AI大模型领域的标准竞争姿态,从来都是典型的军备竞赛:参数规模、上下文窗口、多模态能力,成为衡量企业价值的显性标尺。
8、世界女排联赛最新积分榜:中国2-3加拿大,美巴领跑,日本3连败
紧接着是准备好多次失败。
防守端没有体系,进攻端没有章法,练了一周的针对性部署完全未在场上体现。
他认为这并非“分化”,而是行业早期发展的常态。
9、追梦降薪后不久,詹姆斯也有表态,金州复仇者联盟真要来了吗
肢体语言专家达伦·斯坦顿在接受OLBG采访时指出,这样的言语来往,在英格兰即将与阿根廷争夺决赛席位的大背景下,可能引发更严重的后果。
阿根廷在又一场充满戏剧性的淘汰赛之夜后,与西班牙会师决赛。
10、尤文有意引进马竞后卫鲁杰里,小孔塞桑代表葡萄牙首发送助攻
把第一档当成全体实习生的人生,是最容易掉进的坑。
除此之外,定价机制的缺陷,也曾让公司承受巨额亏损。
1、LIV高尔夫拖欠百万美元被供应商起诉,沙特金主断供后陷入财务危机
原材料的全球化配置,越来越像一场没有硝烟的圈地运动。
2、用普通刀片切割晚期癌症患者肿瘤,谎称是“气功按摩”收取360万元
与此同时,针对当下的跑步热潮,以及消费者对于运动服饰专业性的要求逐步提高,滔博还推出了以跑步为主题的直营跑步多品店ektos。
3、嫩哨执法川渝德比,重庆力争稳住第二 成都吸取教训 肯帕努战韦世豪
马竞决意不给西甲的两大对手任何助力,但如果是卖给一家英超俱乐部,他们的抗拒心理恐怕会少很多。尤文引进布拉欣-迪亚斯困难重重,37岁马蒂奇进入尤文考察名单当然,他们的对手也会因为同样的原因面临人员不整的情况。
4、重磅!CBA恢复升降级几成定局
扎鸟最大的优势是拥有意大利户口本,方便联赛和欧冠报名。
5、球鞋脱下那一刻,梅西的世界杯跳完最后一支探戈
然而,马竞并不情愿为国内直接竞争对手增添实力,这反而为阿尔瓦雷斯转投英超俱乐部提供了可能性。
6、里程仅千英里,这台蓝色Cobra复刻搭载351温莎V8和5速手动变速箱
第四分钟,亚马尔才完成全场第一脚射正,紧接着西蒙在距球门三十多米处做出一次果断出击解围。
纸面实力上,美国队的优势相当明显。
然而,这突破500万的签名数却饱受外界质疑。
7、今日17:00,我省高考本科批次志愿填报截止!
接下来的几周,将直接决定阿尔瓦雷斯下赛季是否会身披红蓝战袍。
因此,乐事联合小红书打造了《球迷范志毅》栏目,将足球赛事讨论、球迷圈话题与零食欢聚场景深度融合,持续抢占小屏内容赛道,长效获取赛事流量、沉淀球迷心智。
8、美投票220赞成205反对,特朗普或失算,民主党强势反击
未来五年,且看这位匈牙利天才,如何带领红军重返欧洲之巅!“家有一老如有一宝”,这是独属于阿根廷的“越老越妖”。
我们的打法有所不同,更依赖攻防转换,不过明天我们也希望能拿到球权,让他们踢得不舒服。
在峡湾湖滨,入驻餐饮中有喜茶,也有北京本土精酿啤酒品牌北平机器,还有网红品牌小红帽三明治。
月薪过万的实习,绑定了名校背景、硬技术、大厂岗位三重门槛。
用户SVG刷爆椭圆纪录:49圈领跑碾压此前12圈,无线电问车队“现在该做什么” 为U17女篮世界杯小组赛收官,中国今晚8点15出战1-8决赛赠送1964年雪佛兰Impala SS敞篷车改装409引擎 匹配四速手动变速箱目标世界杯冠军!克洛普:职业生涯顶点,会踢让球迷惊讶的足球
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用户利兹联正与曼城谈判求购特拉福德 23岁英格兰国门成首要目标 为倒计时11天:费城人最可能拿下这位巨人外野手,概率65%赠送82k英里竟是假象?1960科尔维特翻新后转向灯罢工,283ci双化油器猛兽暗藏玄机点赞最棒
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用户离谱失误!米兰王牌世界杯彻底现形,10 球大战坑惨法国姆巴佩 为西北师大经济学院实践团赴酒泉开展三下乡社会实践赠送丹霞牵湘桂 廊带启新程——国家级张崀桂旅游廊带助力邵阳拥抱全域发展新机遇人气票
用户中国足协辟谣!米利西奇未辞职,将率队出战亚运会,备战受干扰 为罗纳尔多神预测!世界杯决赛无悬念!西班牙全程碾压阿根廷赠送中国羽毛球公开赛:国羽5战3胜,男单全军覆没,石宇奇1-2无缘4强人气票
用户阿斯顿维拉官宣租借加纳乔 切尔西新帅此前已告知其不在计划 为阿瓦雷兹回应怒怼名嘴:别对观众撒谎,拳击永远是第一运动赠送加拿大皇家骑警警车30多年来首换涂装:大面积黑色取代白色人气票
Q2,谷歌首次向客户自有数据中心交付TPU系统并开始确认相关收入,但目前这部分收入在云业务中的占比还不高,想象力在未来,谷歌也在财报中表示,即使剔除TPU收入的影响,云业务营收增速仍在显著加快。我要发布>>
Kimi K3的发布被寄予厚望,国产大模型在代码能力上对Claude的追赶,似乎只差“临门一脚”。我要发布>>
图1:大语言模型智能体在DNA组装指导任务中端到端评估闭环。我要发布>>
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。我要发布>>
塞内加尔主打4-3-3强攻阵,常规首发平均年龄也近29岁。我要发布>>
今晚,图赫尔的选择让我们付出了代价。我要发布>>
这是中国企业第一次拿到这个级别的权益。我要发布>>
当英格兰队在世界杯的赛场上奋力拼杀时,中场核心德克兰·赖斯正承受着常人难以想象的痛苦。我要发布>>
因此,科莫托存在留在一线队的可能,而且他拥有本队青训身份,在意甲阵容注册上有实际价值。我要发布>>
越来越清晰的是,他打算在2030年把赛事规模进一步膨胀,扩军至64支球队。我要发布>>