(evan spiegel)

Previously, the plaintiff had filed a lawsuit against Nvidia, Meta and ByteDance for similar reasons.

The latest proposed class action lawsuit was submitted to the United States District Court for the Central District of California last Friday. The plaintiff specifically pointed out that Snap used a large-scale video language dataset called HD-VILA-100M and other datasets limited to academic research purposes. The plaintiff claims that in order to use the dataset for commercial purposes, Snap circumvented YouTube’s technical restrictions, terms of service, and license provisions prohibiting commercial use.

The lawsuit demands statutory compensation and applies for a permanent injunction to prevent potential infringement in the future.

This case is mainly led by the creators of the h3h3 YouTube channel with a subscription volume of 5.52 million, as well as the smaller golf channels MrShortGame Golf and Golfholics.

This is the latest case among numerous content creators suing AI model suppliers. Previously, there have been copyright disputes from publishers, writers, newspapers, user generated content platforms, artists, and other parties. This is not the first lawsuit initiated by YouTube creators. According to data from the non-profit organization Copyright Alliance, there have been over 70 copyright infringement cases against AI companies.

The progress of such lawsuits varies: in the case of Meta and Writers Group, the judge ruled in favor of tech giants; In the case between Anthropic and the author group, the AI giant chose to settle with the plaintiff and pay compensation. Currently, the majority of cases are still under active trial.

Roger Luo said：This case centers on whether the commercial use of “research-only” datasets for AI training constitutes a substantive violation of both original content copyrights and platform terms of service. It touches on the universal legal challenge in the age of generative AI: defining the boundaries of data ownership and fair use in training materials.

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(Google Youtube Shorts Algorithm Adjustment)

Google announced updates to the YouTube Shorts algorithm. The changes aim to improve content discovery. They focus on viewer satisfaction and creator fairness. The rollout starts immediately worldwide.

YouTube Shorts lets users watch and share short videos. The algorithm decides which videos appear in feeds. The old version prioritized view counts and likes. The new version emphasizes deeper engagement signals. It now tracks if viewers finish a video. It also measures repeat watches and skips. These factors help identify genuinely engaging content.

Google explained the shift addresses user feedback. Viewers wanted more relevant Shorts in their feeds. Creators reported inconsistent reach for their videos. The update tackles both issues. It rewards videos holding attention longer. It reduces visibility for content people skip quickly.

Creators should note performance changes. Shorts with strong openings and sustained appeal may gain more views. Videos losing viewers early might see fewer impressions. Viewers will likely notice more tailored recommendations. Their feeds could show videos matching their interests better.

YouTube tested the update for months. Early results showed higher user retention. People spent more time watching Shorts during trials. The company will monitor the algorithm’s impact. Further refinements are possible based on data.

The change only affects YouTube Shorts. Regular YouTube videos use a separate recommendation system. Google confirmed ongoing investments in Shorts features. This move strengthens its position in short-form video. Competitors include TikTok and Instagram Reels.

(Google Youtube Shorts Algorithm Adjustment)

The algorithm update requires no action from users. It works automatically across all devices. Creators can access performance insights through YouTube Studio.