Various exhibits were presented at the ninth China International Import Expo in Shanghai, including a golden model of the Tesla Cybercab. In addition to the general overview that interests a wide audience, photos were taken that will attract the attention of technically savvy individuals.
Exhibitors were able to examine not only the car itself but also to study in detail the jet engine model, as well as a vehicle that was specially disassembled to demonstrate its internal components.
Another online meeting was organized with the aim of maintaining regular contact with citizens who are studying or working abroad, discussing issues that cause them concern, as well as supporting their proposals and initiatives.
It is important to be cautious about what one searches for on social media, as an apparently harmless search can lead platforms to monitor the searched content. Instagram users have been facing this situation when typing the terms "pt sc" into the search bar.
When executing this search, the Meta social network displays a message indicating that Instagram considered the search suspicious and associated it with "child sexual abuse." This post continues by explaining the consequences for those who commit the crime of child sexual abuse and provides guidelines on how to report such incidents.
In reality, the term has a meaning that justifies the blocking of this type of search by Instagram. The acronym corresponds to "preteen softscore," an expression frequently used on P2P networks by criminals looking for child pornography material.
Olhar Digital contacted Meta to await an official statement from the company on this matter.
Platforms such as Instagram, Facebook, TikTok, and YouTube are expanding their tools to enable the personalization of suggestions presented in their feeds. This change comes in response to criticism from users who feel limited by automatic recommendations that do not always match their interests.
Thanks to advances in artificial intelligence (AI), these platforms are now capable of processing more detailed requests, offering users new ways to direct what is displayed on their screens.
Historically, platforms prioritized automatic recommendations over posts from accounts that users followed. The initial goal was to anticipate content that would spark interest and keep users connected longer. However, this model was also criticized for directing users to sequences of irrelevant or potentially harmful videos.
Instagram is seeking to modify this dynamic through a feature called 'your algorithm.' This functionality displays topics that the network associates with each individual's interests and allows the user to indicate themes they would like to see with higher or lower frequency. Initially available in the Reels tab, the function has been extended to the entire application and also incorporated into Facebook.
Tessa Lyons, Vice President of Product at Instagram, told CNN that the goal is to restore some of the control users had in selecting which profiles to follow, without abandoning useful recommendations for discovering new content.
Social networks have adopted different approaches to meet this demand. Neal Mohan, CEO of YouTube, emphasized that the changes do not imply the impossibility of viewing any AI-generated content, arguing that differentiating between videos created by artificial intelligence and those produced by humans is an artificial distinction, given that many productions blend both forms.
More direct personalization depends on technology capable of understanding natural language commands. Instead of just inferring all preferences based on views and interactions, systems can interpret specific requests about which subjects should appear with higher or lower occurrence.
Lyons commented to CNN that this advancement allows preferences to be expressed using one's own words. She explained that previously, platforms struggled to accurately identify which posts related to specific topics, such as tennis.
However, a challenge remains: online behavior does not always reflect what people truly want to see. Tim Weninger, a professor of computer science and engineering at Notre Dame University, points out that content that evokes feelings of anger or sadness can also generate engagement, such as views, comments, and shares.
These interactions can confuse recommendation mechanisms, which need to discern between genuine interest and mere emotional reaction. The big question is determining to what extent users' stated preferences will be able to influence algorithms compared to the signals captured during browsing.
