Key differences between blocking and restricting on WhatsApp

Discover the interaction control tools offered by the messaging app to manage your privacy effectively.

Privacy Management in WhatsApp: Block vs Restrict

In the instant messaging ecosystem, proactive privacy management has become a primary need for users. WhatsApp, as an industry-leading platform, integrates two advanced features designed to give users granular control over their interactions: block and restrict. Although on the surface they may seem similar, their technical implementation and practical implications present substantial differences that every user should understand for effective management of their digital space.

Technical Analysis of the Locking Function

The option to block a contact is the most definitive measure in WhatsApp’s privacy arsenal. By executing this action, an absolute communication barrier is implemented. Technically, the system nips all two-way communication channels in the bud. The blocking user stops receiving text messages, audios, voice calls and video calls from the blocked contact. These communication attempts are silenced by the server, without generating any notification on the sender’s device.

RelatedHow to delete your Meta AI data on WhatsApp

In addition to the communication cut-off, a profile visibility restriction is activated. The blocked person loses access to all of the user’s dynamic information, including the profile photo, status updates (stories), and the last connection or “online” indicator. It is crucial to note that WhatsApp does not explicitly notify the contact about the block, creating an invisible barrier. However, indirect indicators, such as the persistence of gray ticks (unsent messages) or the lack of profile updates, can give away the situation.

Operational Characteristics of the Restriction

On the other hand, the restrict to a contact feature offers a more subtle and discreet approach. This tool does not seek a total interruption, but rather management of the inconvenience. When you restrict a user, the conversation is automatically archived in the designated folder, removing it from the main chats view. The flow of messages is not interrupted; The restricted contact can continue sending messages and making calls normally.

The difference lies in the experience of the recipient. WhatsApp disables detailed push notifications for restricted chats. Instead, the user will only see a generic indicator (a green dot) in the archived folder, signaling the presence of new messages without revealing their content or quantity. This allows you to review interactions at your convenience, without the pressure of constant alerts. Unlike blocking, profile visibility remains intact; The restricted contact still sees all public information. As with blocking, this action is performed completely silently.

Configuration Procedures and Security Considerations

The implementation of these functions varies slightly between Android and iOS operating systems, but the underlying logic is consistent. To block a contact, the canonical route is through the Settings > Privacy > Blocked Contacts menu. A more agile method is to directly access the offending chat, press the menu icon (three dots) and select the “Block” option. During this process, the app offers the additional option to report the contact to Meta, providing valuable data to combat spam and abuse on the platform.

Setting up the restrict feature introduces an additional security element: the secret code. This PIN or pattern acts as a layer of authentication to access the restricted chats folder, protecting these conversations from prying eyes in case someone else has physical access to the device. This feature makes restriction an ideal tool for managing unwanted interactions in shared environments, while maintaining a high level of discretion and security.

In conclusion, the choice between blocking and restricting depends on the user’s specific goal. Blocking is the permanent solution to radically cut off communication, while restriction is the ideal tool to mitigate unwanted interactions without escalating the conflict, maintaining an open communication channel but under strict control. A deep understanding of these mechanisms allows users to configure their digital experience more accurately, securely and according to their personal needs.

Do you already master these privacy functions? Share this technical guide with your network to help more users take control of their WhatsApp. Explore more content on digital security and application optimization in our specialized section.

Banks prepare for biometric facial controls in October

Banks claim to be ready for facial biometrics in branches since October.

The main banking institutions in the country claim to be prepared for the new regulations on facial biometric controls when opening accounts, which will come into force next October.

What did the banks declare?

Marcos Ramírez, general director of Grupo Financiero Banorte, pointed out that the institution has made progress to reinforce the identification and security of its users. “We are in time and form with everything established by law and a little ahead, with the prudential limits of the law,” he indicated.

These measures will strengthen control over customer identification. Since 2018, by regulation, fingerprint biometrics are already required to open accounts.

Implementation details

On July 1, the National Banking and Securities Commission (CNBV) incorporated facial biometrics into the regulation for multiple banking in customer identification and authentication. Institutions that opt ​​for this mechanism must comply with technical, operational and security requirements.

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AI detects breast cancer with 90% accuracy

An autonomous model analyzes thermographs and classifies tissues without human intervention.

An artificial intelligence model developed by Raúl Castro Ortega, a researcher at the Polytechnic University of Tulancingo, manages to identify breast cancer with an accuracy of 90%. The results were presented during the SPIE Photonics Europe 2026 International Congress, in Strasbourg, France.

How the system works

The system uses convolutional neural networks with attention mechanisms to analyze breast thermographs. Unlike traditional methods, the model autonomously learns the patterns of healthy and diseased tissue, without a specialist previously defining the characteristics of the images. This reduces processing time and improves consistency of results.

The study, titled “Breast thermography analysis using convolutional neural networks with attention mechanisms,” uses an algorithm based on the heat diffusion equation. This approach focuses analysis on thermogram regions of interest and classifies tissues with high levels of sensitivity and specificity.

Impact on early detection

The accuracy achieved represents a significant advance for the early detection of breast cancer, which can improve survival rates and facilitate timely treatment. The researcher highlighted that the system does not replace the specialist, but rather works as a support tool for faster and more consistent diagnoses.

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OpenAI models compromised Hugging Face: AI’s fault?

Two OpenAI models breached Hugging Face; experts question human responsibility.

OpenAI confirmed that two of its most advanced artificial intelligence models were responsible for the cyber incident against Hugging Face. The company is still investigating what it called an unprecedented event.

The incident

Hugging Face detected the intrusion last week. Until this week he didn’t know that OpenAI was behind it. Its CEO, Clément Delangue, described the attack as:

“An attack like nothing we have seen before”

OpenAI explained that its AI used compromised credentials and an unknown vulnerability to access the servers. It operated with reduced protections because it was in an isolated testing environment (sandbox). Still, the system found ways to connect to the Internet without human instruction and obtained secret information to “cheat” on the assessment.

Experts such as Hannes Cools, a social scientist at the University of Amsterdam, question the OpenAI version:

“It is a human decision to disable specific safeguards. It is not the AI that goes haywire. It followed instructions based on the warning it was given”

Other specialists warn that the ability of these models to act autonomously reveals the dangers of frontier technology.

The attack occurs amid the debate over open source models. OpenAI keeps its systems closed, while Hugging Face promotes open access. Its co-founder, Thomas Wolf, noted:

“When a frontier model attacks you, defenders need broad access to near-frontier tools in minutes, not on closed platforms”

Hugging Face used an open source Chinese model to contain the intrusion. The incident reinforces conflicting positions on the risks and benefits of openness in artificial intelligence.

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