# Alibaba Related Articles

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The Creator of Kling Returns to Alibaba and Builds Another Dark Horse

The article discusses the rise of HappyHorse-1.0, an AI video generation model developed by Alibaba, which topped the Artificial Analysis leaderboard in both text-to-video and image-to-video categories in April 2026. The model was created under the leadership of Zhang Di, who returned to Alibaba in November 2025 after working at Kuaishou, where he led the development of the Kling model. HappyHorse is open-source and commercially available, similar to Alibaba's Qwen model. Zhang Di's background includes extensive experience in large-scale data systems and machine learning at Alibaba and Kuaishou, which contributed to the rapid development of HappyHorse within just five months. The model uses a 15-billion-parameter transformer architecture with native multimodal training, supporting multiple languages and lip-sync capabilities. It also focuses on reducing inference time and cost, making it practical for commercial use. The primary application of HappyHorse is in e-commerce, where it can generate product videos to enhance user engagement and conversion rates by creating contextual and personalized content. This aligns with Alibaba's strengths in commerce, advertising, and data feedback loops. The model's success with open-source approach contrasts with challenges faced by closed-source models like OpenAI's Sora (shut down due to high costs) and ByteDance's Seedance 2.0 (paused over copyright issues). HappyHorse represents a strategic move for Alibaba to integrate AI video generation into its core business ecosystems.

marsbit04/13 05:10

The Creator of Kling Returns to Alibaba and Builds Another Dark Horse

marsbit04/13 05:10

Claiming the "Happy Horse": Alibaba's AI Lays Out the "Eight Trigrams Formation"

Alibaba has officially claimed the "HappyHorse" (HappyHorse-1.0) AI video generation model, which recently topped the global benchmark on Artificial Analysis with an Elo score of 1357. Developed by Alibaba’s ATH (Alibaba Token Hub) innovation unit, the model is notable for its ability to generate high-definition video with synchronized audio and sound effects from text input, significantly improving motion coherence and reducing production time and cost. This launch is part of a broader acceleration in Alibaba’s AI strategy. In late March and early April, the company released three flagship models in quick succession: Qwen3.5-Omni, Wan2.7-Image, and Qwen3.6-Plus. The latter broke global daily call volume records with 1.4 trillion tokens processed shortly after release. Alibaba has also undergone significant organizational restructuring to support its AI ambitions. In March, it established the ATH business group, led by CEO Wu Yongming, to integrate AI development, cloud services, and application deployment. Further changes in April included forming a group-level technology committee and consolidating the Tongyi Lab into a dedicated AI model division. The company is investing heavily in AI, with plans to spend over 380 billion RMB on cloud and AI infrastructure over three years. Its self-developed GPUs have already seen mass production. While the market has responded positively to these moves, challenges remain in balancing centralized control with operational flexibility and maintaining team stability amid rapid changes.

marsbit04/11 04:07

Claiming the "Happy Horse": Alibaba's AI Lays Out the "Eight Trigrams Formation"

marsbit04/11 04:07

Jack Ma Just Concluded an AI Mobilization Meeting, and the 'Soul Figure' of Qwen Left

A major leadership shakeup has hit Alibaba's AI division following a high-level strategic meeting. Ma Yun, along with core executives from Alibaba and Ant Group, convened on March 3rd to signal a full commitment to AI. However, the very next day, Lin Junyang, the 32-year-old P10 technical lead and key architect behind Alibaba’s open-source Qwen large language models, abruptly announced his resignation on social media platform X. Reports suggest the departure was not voluntary. The trigger appears to be an internal restructuring plan for the Qwen team. The plan, from the Tongyi Lab, aimed to break up Lin’s vertically integrated, full-stack team into separate, horizontally divided modules reporting directly to the lab, which would significantly reduce his management scope. This clashed fundamentally with Lin's belief that deep collaboration within a full-process team is essential for LLM innovation. The incident highlights a growing tension within Alibaba between the open-source technical ideals championed by Lin and the company's increasing focus on commercial returns from AI. Despite Qwen's global open-source success—topping Hugging Face downloads with over 1 billion—internal skepticism about its revenue potential and pressure from competitors were mounting. Lin's resignation has sent shockwaves through the global AI community, prompting an outpouring of support. Several key Qwen team members have also resigned. His departure marks a pivotal moment for Alibaba AI, signaling a shift from building open-source technological influence to prioritizing commercial落地 (commercialization). The immediate challenges for Alibaba include potential further brain drain, disrupted development rhythms, and maintaining trust within the open-source ecosystem, all while facing intense competition.

marsbit03/04 11:10

Jack Ma Just Concluded an AI Mobilization Meeting, and the 'Soul Figure' of Qwen Left

marsbit03/04 11:10

Who Can Catch Ma Huateng's Red Envelope?

The article discusses the intensifying competition among Chinese tech giants in the AI sector, triggered by Tencent’s announcement of a 10 billion yuan cash giveaway through its AI app, Yuanbao, during the Spring Festival. Pony Ma’s move is reminiscent of WeChat’s 2015 “Pearl Harbor-style” disruption of the digital payment market, which helped it compete fiercely with Alipay. Major players like Baidu, ByteDance (with Doubao), and Alibaba (with Qianwen) have also launched large-scale marketing campaigns and春晚 (Spring Festival Gala) partnerships, with billions in subsidies and promotions. The competition has expanded beyond pure AI model performance to include applications, ecosystem integration, and hardware. The AI landscape is described as a “Warring States” era, with ByteDance (compared to Chu), Tencent (Qi), and Alibaba (Wei) leading through distinct strategies: ByteDance leverages short-video content, Tencent focuses on social integration, and Alibaba builds a super-app ecosystem. Other significant players include Baidu and DeepSeek, while smaller firms pivot to niche markets. Despite massive investments—with companies like ByteDance and Alibaba spending hundreds of billions—the industry has yet to find a sustainable business model. Profitability remains elusive, relying on subsidies and user acquisition rather than stable revenue streams like subscriptions or enterprise solutions. Experts suggest 2026 may be a decisive year for AI commercialization, with intensified competition, market consolidation, and potential breakthroughs in monetization. The outcome remains uncertain, and the battle for user attention and market dominance is still unfolding.

marsbit01/27 03:31

Who Can Catch Ma Huateng's Red Envelope?

marsbit01/27 03:31

Alibaba Invested in a Latin American Stablecoin Company, Why VelaFi?

VelaFi, a financial infrastructure platform focused on Latin America and bridging fiat and crypto, has raised $20 million in a Series B round, bringing its total funding to over $40 million. Notably, the investment round included participation from Alibaba Investment, a subsidiary of Alibaba Group. Alibaba's investment is strategic, as VelaFi's stablecoin-based infrastructure enables instant, low-cost cross-border settlements. This addresses key pain points of high fees and slow processing times, aligning with Alibaba's goals for its AliExpress and B2B platforms in emerging markets. The funding was co-led by XVC and Ikuyo, with participation from other firms. VelaFi, part of Galactic Holdings and led by CEO Maggie Wu, was formerly known as TruBit Business. It has expanded from Latin America into the U.S. and Asia, serving hundreds of enterprise clients and processing billions in transaction volume. VelaFi's core B2B model focuses on two main services: providing regulated on/off ramps for converting between local fiat and stablecoins, and facilitating cross-border payments by converting one local currency directly into another (e.g., Mexican Pesos to Brazilian Reals). It achieves this by integrating with local instant payment systems like Mexico's SPEI and Brazil's PIX, using stablecoins as a settlement layer to create a faster, more efficient alternative to traditional banking channels.

marsbit01/14 10:40

Alibaba Invested in a Latin American Stablecoin Company, Why VelaFi?

marsbit01/14 10:40

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