(YouTube Super Thanks Expands Creator Monetization With AI Moderation.)

Super Thanks lets viewers pay to highlight their appreciation for a creator’s work. When someone uses Super Thanks, their message appears with special effects and stays pinned at the top of the chat for others to see. Now, with AI-powered moderation, creators can automatically filter out spam, harmful language, or off-topic messages tied to Super Thanks posts. This helps keep conversations positive without requiring constant manual oversight.

The system works in real time. It scans incoming Super Thanks comments as they are sent. If something violates community guidelines, the AI blocks it before it shows up on screen. Creators can also set custom filters based on their preferences. YouTube says this reduces the stress of moderating large audiences during busy live events.

This expansion is part of YouTube’s broader effort to boost creator income through direct fan support. Alongside features like Memberships and Super Chat, Super Thanks offers another way for fans to show support while helping creators get paid. Early tests showed that creators who used AI moderation spent less time managing comments and more time engaging with their audience.

(YouTube Super Thanks Expands Creator Monetization With AI Moderation.)

YouTube plans to make the updated Super Thanks available globally over the coming weeks. The company says it will continue refining the AI tools based on feedback from creators. No extra setup is needed—anyone already using Super Thanks will get the new moderation features automatically.

(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 Autoplay)

Before, Autoplay used a computer program. This program picked videos based on what keeps people watching longer. Sometimes it suggested videos not related to the current one. Users found this frustrating. They wanted more control over their viewing.

The updated Autoplay works differently now. Google listened to user feedback. The new system focuses on suggesting videos from the same channel first. This means if you watch a cooking channel, Autoplay will likely suggest another video from that same cook. It helps viewers explore content they already like.

If videos from the same channel aren’t available, Autoplay looks next at videos on similar topics. It tries to keep the suggestions relevant. The goal is a smoother viewing experience. Users should feel the next video makes sense.

Google believes this change helps viewers find content they enjoy. It also supports creators. Viewers are more likely to watch multiple videos from creators they follow. This builds stronger connections between creators and their audience.

The change is rolling out globally. It applies to the YouTube website and mobile apps. Users can still turn Autoplay off completely. They find the toggle next to the video player. The setting remembers the user’s choice.

(Google Youtube Autoplay)

This update reflects Google’s focus on improving user experience. The company states it continually refines its products. Feedback from the YouTube community is important. Google aims for features that feel helpful and intuitive. The simpler Autoplay logic is part of this effort. Users should notice the difference in their video queues.