A new SOTA local video model (HappyHorse 1.0) will be released in april 10th.
A new state-of-the-art local video model was announced, but key details and open-source promises have been retracted.
The AI community was briefly set abuzz by the announcement of HappyHorse 1.0, a new model touted as state-of-the-art (SOTA) for generating video locally on user hardware. Promoted by accounts like @bdsqlsz and @AngryTomtweets, the initial hype centered on a promised April 10th release and, crucially, claims that the model would be open-sourced. This combination of high-performance local video generation and open accessibility represented a significant potential shift, offering an alternative to cloud-based, closed models from major labs.
However, the story took a confusing turn as key pieces of information were retracted. The original article on WeChat (a Chinese social platform) that stated the model would be open-source was edited to remove that claim. Furthermore, the primary announcement tweet from @bdsqlsz was deleted entirely. This rapid cleanup has cast a shadow of doubt over the project, leaving more questions than answers about HappyHorse 1.0's actual capabilities, release plans, and licensing model just days before its supposed launch date.
- HappyHorse 1.0 was announced as a new state-of-the-art model for local video generation, slated for release on April 10th.
- Initial promotional material explicitly claimed the model would be open-sourced, a major point of interest for developers and researchers.
- Those open-source claims have been scrubbed from the original WeChat article, and the key announcement tweet has been deleted, creating significant uncertainty.
Why It Matters
A truly open, high-performance local video model could democratize AI video creation, reducing reliance on proprietary cloud APIs and associated costs.