(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 tests the “AI dubbing” tool, which supports multi-language conversion)

YouTube announced this test recently. It’s called “Aloud”. Only some creators can use it now. YouTube wants feedback before a wider launch. This testing phase is important. Google wants to get it right.

The tool handles many languages. Creators pick target languages easily. The AI works on the audio track. It matches the speaker’s lip movements. This makes the dubbing look natural. Viewers might not notice it’s AI.

This solves a big problem. Dubbing videos is normally expensive. It often requires human voice actors. Small creators struggle with the cost. Google’s tool makes it affordable. It could save creators time and money.

Google sees this as helpful. A company spokesperson explained the goal. They want to break language barriers online. Everyone should access great content. This tool supports that mission. It helps creators connect globally.

The AI dubbing happens quickly. Creators get the dubbed files fast. They upload these versions to YouTube. Each version targets a specific language audience. This expands a video’s potential reach significantly.

YouTube faces competition. Other platforms offer translation tools too. YouTube’s focus is on seamless dubbing. They aim for high-quality, synchronized results. The current test evaluates this quality.

Creators in the test program are optimistic. They see it as a powerful tool. Reaching non-English viewers becomes simpler. Global audiences matter more now. This technology unlocks new growth.

Google provided technical details. The AI learns from vast audio data. It mimics speech patterns accurately. The system keeps improving over time. Future updates will add more languages. Performance will get better.

(Google YouTube tests the “AI dubbing” tool, which supports multi-language conversion)

This marks another AI step for Google. They integrate AI across many products. YouTube is a major focus area. Making video creation easier remains key. AI dubbing fits this strategy perfectly.