(Amazon)

Previously, companies like OpenAI have entered into individual licensing agreements with media organizations such as the Associated Press and News Corp, but these have not fully resolved legal risks. Numerous lawsuits regarding the use of copyrighted materials in AI models are still ongoing. Meanwhile, AI-powered summary features in search engines like Google have raised concerns among media publishers about declining website traffic.

The establishment of a licensing marketplace is seen as a viable solution to these challenges. If implemented, such a centralized platform could offer the AI industry a clearer and more sustainable pathway to accessing content while helping publishers explore new business models in the age of artificial intelligence. However, the specific operational mechanisms and market response remain to be seen.

Roger Luo said:This move transforms the copyright game into a market mechanism, which is expected to build a clearer AI data ecosystem. However, core issues such as pricing power and ownership definition still need to be resolved, and the actual effectiveness depends on the depth of multi-party cooperation.

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(How to Create Facebook Content That is Optimized for the “Gaming Video” Creator)

Post your videos when your followers are most active. Check your Facebook Insights to find out the best times. Try to post at least three times a week to stay visible in people’s feeds. Always reply to comments and messages. This builds trust and keeps your audience coming back. Facebook rewards posts that get more interactions, so ask questions or run polls to encourage replies.

Use vertical or square videos instead of wide ones. These formats take up more space on mobile screens, which most people use. Keep your videos under two minutes for better results. Longer videos can work, but only if they keep viewers watching from start to finish. Add subtitles so your message gets across clearly. Many users watch without turning on audio.

(How to Create Facebook Content That is Optimized for the “Gaming Video” Creator)

Tag your videos with relevant keywords and use categories like “Gaming” so Facebook can recommend your content to the right people. Link your Instagram account to share your videos across both platforms. Work with other creators or join gaming groups to reach new fans. Test different styles and track what performs best. Adjust your plan based on what your data shows.

(Andrey Rudakov/Bloomberg / Getty Images)

XAI launched Grokipedia in October last year, after Musk repeatedly criticized Wikipedia for bias against conservatives. The media then found that although many entries seemed to be copied directly from Wikipedia, Grokimedia also claimed that pornographic content aggravated the AIDS crisis, provided an “ideological defense” for slavery, and used derogatory expressions against cross gender groups.

For an encyclopedia derived from a chatbot that once claimed to be a “mechanical Hitler” and was used to spread deepfake pornographic content on the X platform, these contents may not be surprising. However, its information seems to be gradually spreading beyond Musk’s ecosystem – The Guardian reported that GPT-5.2 cited content from Grokipedia nine times in response to over ten different questions.

The Guardian pointed out that ChatGPT did not cite the source when asked about topics on which the false information of Grokimedia has been widely reported, such as the riots on Capitol Hill on January 6 or the AIDS epidemic. On the contrary, citations appear on more obscure topics, including statements about historian Richard Evans that The Guardian has previously clarified. Anthropic’s Claude model also referenced Grokipedia when answering certain questions. ）

A spokesperson for OpenAI told The Guardian that the company is committed to obtaining information from a wide range of publicly available sources and diverse perspectives.

Roger Luo said:This incident exposes a critical flaw in generative AI’s cross-system information integration: the absence of an effective fact-prioritization mechanism and a traceability verification framework. When algorithms indiscriminately absorb ideologically biased data sources, they not only distort the neutrality of knowledge dissemination but also risk systematically polluting the foundation of public understanding.

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(Breaking: X’s New “Content Recommendation Engine” Personalizes Feeds)

SAN FRANCISCO, CA – X announced today the launch of a new content recommendation engine. This engine personalizes user feeds. It aims to show more relevant content to each user.

The new system uses advanced algorithms. It analyzes how users interact on the platform. This includes posts they view, like, repost, and reply to. The engine learns what each user prefers. It then surfaces posts matching those interests. Users should see more content they care about.

X stated this update improves user experience. Finding interesting posts should become easier. The goal is deeper engagement. People might spend more time discovering content they enjoy.

The technology focuses on understanding user signals better. It moves beyond simple follower networks. Now, actual interactions drive feed content. This means even posts from accounts not followed could appear. Relevance is key.

Company officials believe this offers significant value. Users see more diverse, tailored content. Creators potentially reach more interested audiences. The overall platform experience becomes more useful.

Testing showed positive results. Users engaged more with recommended posts. Time spent on the platform increased. Feedback from test groups was generally favorable.

The rollout begins immediately. All users will see changes gradually. The personalized feed replaces the previous “For You” section. Users can find it on their main timeline.

(Breaking: X’s New “Content Recommendation Engine” Personalizes Feeds)

X continues investing in core technologies. Enhancing the feed experience remains a priority. This update marks a major step in personalization efforts. Further refinements are planned based on user feedback.

(TikTok’s “Content Diversity” Audit Reveals Progress and Challenges)

A recent TikTok audit examined content diversity on the platform. TikTok commissioned this review itself. The goal was understanding how well different viewpoints appear in user feeds. The findings show some positive movement. They also reveal areas needing more work.

The audit looked at many user experiences. It analyzed what videos users saw over several months. Researchers checked if users encountered diverse topics and creators. The results suggest TikTok’s algorithm changes are helping. Users now see more content from people unlike themselves. This includes different political views and life experiences.

Progress is noted, especially in exposing users to varied political content. The audit found users see more videos from across the political spectrum. This happened more than before recent algorithm updates. Users also encountered content from creators of different backgrounds more frequently.

Challenges remain significant, however. The audit confirmed users often still see mostly similar content. This happens especially if they engage heavily with specific topics. Their existing interests heavily influence their feed. Breaking out of these “filter bubbles” proves difficult. The platform struggles to consistently introduce truly unexpected viewpoints.

(TikTok’s “Content Diversity” Audit Reveals Progress and Challenges)

TikTok acknowledges these findings. The company states it is committed to ongoing improvement. They view diversity as essential for a healthy platform experience. Further tweaks to the recommendation system are planned. TikTok aims to balance user preferences with exposure to new ideas. Achieving this balance remains complex. The company promises continued transparency through future audits.

(How TikTok’s Content Influences Consumer Behavior)

TikTok is changing how people find products and make buying choices. Experts report the app’s powerful algorithm pushes content that directly impacts what users purchase. Short videos showcasing products or trends spread incredibly fast. Users see these videos repeatedly. This constant exposure builds familiarity and desire.

Many users discover new items through TikTok first. The platform acts like a massive, interactive discovery engine. People see something interesting, they look it up immediately. This instant access fuels impulse buying. Shoppers click links in videos or search online right after seeing a TikTok. This behavior is especially common among younger audiences.

Brands notice this shift. Companies actively create content aimed at starting trends on TikTok. They partner with popular creators who can make products go viral overnight. A single viral video can sell out an item in hours. Sales spikes linked directly to TikTok mentions are now common. Retailers track these trends closely.

(How TikTok’s Content Influences Consumer Behavior)

The platform also influences how consumers interact with brands. Users expect quick responses and authentic communication. Brands that engage effectively on TikTok see stronger loyalty. This new shopping journey starts with entertainment and ends with a purchase, often skipping traditional advertising. Marketers must understand this path to succeed.