# Generation Related Articles

HTX News Center provides the latest articles and in-depth analysis on "Generation", covering market trends, project updates, tech developments, and regulatory policies in the crypto industry.

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

Google DeepMind Releases Lyria 3 Pro: AI Music Transitions from "30-Second Previews" to Full Songs

Google DeepMind has launched Lyria 3 Pro, a significant upgrade from the previous version released just six weeks prior. The key improvement is the extension of AI-generated music from 30 seconds to 3 minutes, alongside a new "structure-aware" capability. This allows the model to understand and construct a song's internal composition—such as intros, verses, choruses, and bridges—based on user's text, image, or video prompts, marking a shift from a simple generator to a creative tool. While competitors like Suno and Udio have offered similar features since early 2025, Google's entry into this competitive space is notable due to its vast distribution reach via the Gemini ecosystem. The model supports multiple languages, includes vocals and instruments, and automatically adds SynthID watermarks for AI content identification. Access is tiered for paid Gemini users (AI Plus, Pro, Ultra), with daily generation limits, while free users remain on the 30-second Lyria 3. It is also available for developers via API and for enterprises through Vertex AI. However, copyright concerns regarding training data remain unresolved, similar to ongoing industry disputes.

marsbit03/26 00:58

Google DeepMind Releases Lyria 3 Pro: AI Music Transitions from "30-Second Previews" to Full Songs

marsbit03/26 00:58

The Rise of Long-Term Speculation: Insights into the Financial Dilemmas and High-Stakes Gambles of a New Generation

The article "The Rise of Long-Term Speculation: A Generation's Financial Trap and High-Stakes Gamble" argues that long-term speculation is becoming the dominant socioeconomic theme for young generations. Traditional wealth-building paths—stable careers, home ownership, and gradual savings—are now inaccessible due to wealth inequality (with Baby Boomers holding 50% of wealth vs. Millennials' 10%), rising costs, and AI-driven job displacement. Young people, while basic needs are met, are denied higher Maslow-level aspirations (purpose, freedom, self-actualization) through conventional means. Social media exacerbates dissatisfaction by constantly showcasing unattainable lifestyles. This creates a "rational" turn to high-risk, high-reward avenues like crypto, prediction markets, sports betting, and meme stocks—the only domains where they feel agency and a non-zero chance of escape. Platforms facilitating speculation (e.g., Polymarket, Coinbase, DraftKings) profit regardless of user outcomes, making them viable long-term investments. The author stresses this is a descriptive, not prescriptive, analysis: a symptom of systemic failure, but one driving enduring behavioral shifts.

比推12/29 14:23

The Rise of Long-Term Speculation: Insights into the Financial Dilemmas and High-Stakes Gambles of a New Generation