من المقرر أن تواجه واتساب تنظيمات إضافية من الاتحاد الأوروبي، كما تم الإبلاغ عنه في 11 نوفمبر 2025. يعتبر هذا التطور مهمًا لأنه يعكس الجهود المستمرة من قبل الاتحاد الأوروبي لتعزيز الرقابة والسيطرة على منصات التواصل الرقمي، مما يضمن خصوصية وأمان المستخدمين. قد تؤثر تداعيات هذه التنظيمات على كيفية عمل واتساب داخل الاتحاد الأوروبي، مما قد يؤدي إلى تغييرات في سياساته وممارساته للامتثال للإطار القانوني الجديد.

WhatsApp enfrentará nuevas regulaciones de la Unión Europea, según se informó el 11 de noviembre de 2025. Este desarrollo es significativo ya que refleja los esfuerzos continuos de la UE para aumentar la supervisión y el control sobre las plataformas de comunicación digital, asegurando la privacidad y la seguridad de los usuarios. Las implicaciones de estas regulaciones podrían afectar la operación de WhatsApp dentro de la UE, lo que podría llevar a cambios en sus políticas y prácticas para cumplir con el nuevo marco legal.

WhatsApp va faire face à de nouvelles régulations de l'Union européenne, comme rapporté le 11 novembre 2025. Ce développement est significatif car il reflète les efforts continus de l'UE pour renforcer la surveillance et le contrôle des plateformes de communication numérique, garantissant la confidentialité et la sécurité des utilisateurs. Les implications de ces régulations pourraient affecter le fonctionnement de WhatsApp au sein de l'UE, entraînant potentiellement des changements dans ses politiques et pratiques pour se conformer au nouveau cadre juridique.

WhatsApp is set to face additional regulations from the European Union, as reported on November 11, 2025. This development is significant as it reflects ongoing efforts by the EU to enhance oversight and control over digital communication platforms, ensuring user privacy and security. The implications of these regulations could affect how WhatsApp operates within the EU, potentially leading to changes in its policies and practices to comply with the new legal framework.

WhatsApp will reportedly face further EU regulation

Here's everything you need to know about the latest smart ring by Oura, based on a wearable expert's real-world usage.

Is the $500 Oura Ring 4 Ceramic worth it? I wore one for a month, and here's my advice

Samsung's QN90F QLED delivers great streaming and gaming performance, making it a strong holiday value.

Why I recommend this Samsung QLED TV over pricier OLED models in 2025 - and don't regret it

<h1>
  
  
  AI Amnesia: Erasing Knowledge Without a Trace
</h1>

<p>Imagine your AI model accidentally learned something it shouldn't have – sensitive customer data, for example. Current methods for deleting this information often require retraining the entire model, an expensive and time-consuming process. What if we could surgically remove that knowledge without starting from scratch?</p>

<p>The key lies in a novel approach: creating artificial "forgetting cues." We're teaching the model to unlearn specific data patterns by exposing it to carefully crafted synthetic examples. These examples are designed to strongly contradict the information we want the model to forget, effectively overwriting the problematic associations in its memory. This works even if you don’t have access to the original data you need to erase.</p>

<p>Think of it like this: you're trying to forget a bad song stuck in your head. Instead of trying to actively suppress it (which rarely works), you blast an even more catchy song. The new song overwrites the old one, effectively erasing it from your mental playlist.</p>

<p><strong>Benefits of Selective Forgetting:</strong></p>

<ul>
<li>  <strong>Enhanced Data Privacy:</strong> Remove sensitive data without compromising the overall model's performance.</li>
<li>  <strong>Reduced Retraining Costs:</strong> Avoid full model retraining, saving significant time and resources.</li>
<li>  <strong>Improved Model Security:</strong> Eliminate vulnerabilities introduced by unintentionally learned patterns.</li>
<li>  <strong>Adaptable Learning:</strong> Enables continuous refinement of AI models based on evolving data landscapes.</li>
<li>  <strong>Compliance Ready:</strong> Supports compliance with data privacy regulations like GDPR.</li>
<li>  <strong>Scalable Solutions:</strong> Works efficiently even with limited access to training data.</li>
</ul>

<p><strong>Practical Tip:</strong> One challenge is ensuring the synthetic data accurately targets the information you want to remove without negatively impacting the model's ability to generalize. Rigorous testing and validation with holdout datasets are crucial.</p>

<p>The promise of AI that can truly 'forget' opens exciting possibilities for responsible AI development. By enabling precise data deletion, we pave the way for more secure, compliant, and adaptable machine learning systems. Imagine AI models that can adapt to changing ethical guidelines or quickly unlearn incorrect information, all without massive retraining efforts. This is a crucial step towards trustworthy and responsible AI that respects data privacy and aligns with societal values. Future exploration could include extending this to different data modalities and model architectures.</p>

<p><strong>Related Keywords:</strong> machine unlearning, data privacy, few-shot learning, zero-shot learning, synthetic data, model editing, catastrophic forgetting, incremental learning, continual learning, deep learning, neural networks, data security, algorithmic fairness, responsible ai, ethical ai, federated unlearning, privacy-preserving ai, model retraining, AI governance, data deletion, GDPR compliance</p>

يتناول المقال نهجًا جديدًا لمعالجة مشكلة نسيان الذكاء الاصطناعي، حيث قد تحتفظ نماذج الذكاء الاصطناعي عن غير قصد بمعلومات حساسة. تتطلب الطرق التقليدية لحذف هذه البيانات غالبًا إعادة تدريب كاملة للنموذج، وهو ما يعد مكلفًا ويستغرق وقتًا. تتضمن التقنية الجديدة إنشاء 'إشارات نسيان' اصطناعية تساعد النموذج على نسيان أنماط بيانات معينة من خلال تعريضه لأمثلة صناعية تتناقض مع المعلومات غير المرغوب فيها، مما يسمح بإزالة المعرفة المستهدفة دون الحاجة للوصول إلى البيانات الأصلية.

El artículo aborda un nuevo enfoque para tratar el problema de la amnesia de la IA, donde los modelos de IA pueden retener inadvertidamente información sensible. Los métodos tradicionales para eliminar estos datos a menudo requieren un reentrenamiento completo del modelo, lo que es costoso y lleva tiempo. La nueva técnica implica crear 'señales de olvido' artificiales que ayudan al modelo a desaprender patrones de datos específicos al exponerlo a ejemplos sintéticos que contradicen la información no deseada, permitiendo así la eliminación selectiva de conocimientos sin necesidad de acceder a l…

L'article traite d'une nouvelle approche pour résoudre le problème de l'amnésie de l'IA, où les modèles d'IA peuvent involontairement conserver des informations sensibles. Les méthodes traditionnelles pour supprimer ces données nécessitent souvent un réentraînement complet du modèle, ce qui est coûteux et long. La nouvelle technique consiste à créer des 'cues d'oubli' artificiels qui aident le modèle à désapprendre des schémas de données spécifiques en lui présentant des exemples synthétiques qui contredisent les informations indésirables, permettant ainsi une suppression ciblée des connaissan…

The article discusses a novel approach to address the issue of AI amnesia, where AI models may inadvertently retain sensitive information. Traditional methods for deleting such data often require complete retraining of the model, which is costly and time-consuming. The new technique involves creating artificial 'forgetting cues' that help the model unlearn specific data patterns by presenting it with synthetic examples that contradict the unwanted information, allowing for targeted knowledge removal without needing access to the original data.

AI Amnesia: Erasing Knowledge Without a Trace

Baseus' Enercore CG11 travel adapter is one of the better designed ones I've tested, although its best feature isn't immediately apparent.

Traveling soon? Why this one charger is the only one you'll ever need to pack

Turning materials like wood chips, crop residues and municipal solid waste into fuels and chemicals is important for our country's energy independence.

طور الباحثون نماذج حاسوبية متقدمة تهدف إلى تحسين التنبؤات لعمليات طحن الكتلة الحيوية. تركز هذه الابتكارات على تحويل مواد مثل رقائق الخشب، بقايا المحاصيل، والنفايات الصلبة البلدية إلى وقود ومواد كيميائية قيمة، وهو أمر مهم لتعزيز استقلالية الطاقة في البلاد. من المتوقع أن تعمل النماذج على تحسين كفاءة معالجة الكتلة الحيوية، مما يساهم في حلول الطاقة المستدامة.

Investigadores han desarrollado modelos informáticos avanzados destinados a mejorar las predicciones para los procesos de molienda de biomasa. Esta innovación se centra en convertir materiales como astillas de madera, residuos de cultivos y residuos sólidos municipales en combustibles y productos químicos valiosos, lo que es crucial para mejorar la independencia energética del país. Se espera que los modelos optimicen la eficiencia del procesamiento de biomasa, contribuyendo así a soluciones energéticas sostenibles.

Des chercheurs ont développé des modèles informatiques avancés visant à améliorer les prévisions pour les processus de broyage de la biomasse. Cette innovation se concentre sur la conversion de matériaux tels que les copeaux de bois, les résidus de culture et les déchets solides municipaux en combustibles et produits chimiques précieux, ce qui est crucial pour renforcer l'indépendance énergétique du pays. Les modèles devraient optimiser l'efficacité du traitement de la biomasse, contribuant ainsi à des solutions énergétiques durables.

Researchers have developed advanced computer models aimed at improving predictions for biomass milling processes. This innovation focuses on converting materials such as wood chips, crop residues, and municipal solid waste into valuable fuels and chemicals, which is crucial for enhancing energy independence in the country. The models are expected to optimize the efficiency of biomass processing, thereby contributing to sustainable energy solutions.

Researchers develop computer models for better biomass milling predictions

The most interesting aspect of the latest Even Realities glasses may be their limitations.

I've tried several AI smart glasses (including Meta Ray-Bans) in 2025 - these are the most comfortable

<p><a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2F3tw4xyic6l98xq7254mz.png" class="article-body-image-wrapper"><img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2F3tw4xyic6l98xq7254mz.png" alt=" " width="800" height="483"></a><br>
Invisible Unicode characters let you fine-tune layout on platforms that normally collapse whitespace. Use this playbook to streamline Instagram and WhatsApp layouts.</p>
<h2>
  
  
  Instagram
</h2>

<ul>
<li>
<strong>Bio spacing:</strong> Draft in Notes, replace blank lines with Zero-Width Space (U+200B) from <a href="https://blankspacecopy.net" rel="noopener noreferrer">blankspacecopy.net</a>, then paste into Instagram. Mobile clients remove true blank lines but keep U+200B, so sections stay separated.</li>
<li>
<strong>Caption breaks:</strong> Insert three or four invisible lines between the caption body and location tag or hashtags to push metadata below the fold.</li>
<li>
<strong>Hashtag separation:</strong> Drop a short block of U+200B lines between the caption and hashtag list. Engagement stays the same while the feed looks cleaner.</li>
</ul>
<h2>
  
  
  WhatsApp
</h2>

<ul>
<li>
<strong>Blank status:</strong> Paste U+200B into the Text Status composer, choose a background color, post. It reads like an intentional empty card without disabling Status.</li>
<li>
<strong>About section:</strong> Replace <code>|</code> separators with stacked lines of U+200B. Each descriptor sits on its own line, yielding neat vertical spacing.</li>
<li>
<strong>Message timing:</strong> Add a dozen invisible lines after “I need to tell you something” to build suspense before the punch line. Use sparingly.</li>
</ul>
<h2>
  
  
  Cross-Platform Templates
</h2>

<p>Save a reusable template in Notes:<br>
</p>

<div class="highlight js-code-highlight">
<pre class="highlight plaintext"><code>[Name]
[U+200B]
[Role]
[U+200B]
[Link]
</code></pre>

</div>



<p>Paste the block into Instagram, WhatsApp About, Twitter, or Discord with zero reformatting. When sharing links inside captions or chats, bracket the URL with invisible lines to create breathing room without extra punctuation.</p>

<h2>
  
  
  Constraints &amp; Fixes
</h2>

<ul>
<li>Instagram Stories and some comments collapse invisible characters—test where most followers read you.</li>
<li>WhatsApp counts invisible characters toward the 139-character status limit, and some business clients filter them.</li>
<li>If spacing disappears, switch to Zero-Width Non-Joiner (U+200C); if squares appear, revert to U+200B.</li>
</ul>

<h2>
  
  
  Accessibility &amp; QA
</h2>

<p>Screen readers may announce “blank” repeatedly, so avoid using invisible spacing for essential information. Before publishing, preview on both mobile and desktop, capture a screenshot for reference, and run a VoiceOver or TalkBack check when accessibility matters.</p>

يمكن استخدام أحرف Unicode غير المرئية لتحسين تخطيط المنشورات على إنستغرام وواتساب، التي عادةً ما تقلل من المساحات الفارغة. يمكن للمستخدمين استخدام هذه الأحرف لإنشاء مسافات أفضل في السير الذاتية، والتعليقات، والحالات. على سبيل المثال، من خلال استخدام مساحة العرض الصفري (U+200B) من blankspacecopy.net، يمكن للمستخدمين الحفاظ على الفصل بين الأقسام في سيرهم الذاتية على إنستغرام. بالإضافة إلى ذلك، يمكن أن يؤدي إدراج خطوط غير مرئية إلى تحسين الجاذبية البصرية للتعليقات والوسوم، مما يجعل المنشورات أكثر تنظيمًا.

Los caracteres Unicode invisibles se pueden utilizar para mejorar el diseño de las publicaciones en Instagram y WhatsApp, que normalmente colapsan los espacios en blanco. Los usuarios pueden emplear estos caracteres para crear un mejor espaciado en biografías, subtítulos y estados. Por ejemplo, al usar el espacio de ancho cero (U+200B) de blankspacecopy.net, los usuarios pueden mantener la separación entre secciones en sus biografías de Instagram. Además, insertar líneas invisibles puede mejorar el atractivo visual de los subtítulos y hashtags, haciendo que las publicaciones sean más organizadas.

Les caractères Unicode invisibles peuvent être utilisés pour améliorer la mise en page des publications sur Instagram et WhatsApp, qui ont tendance à réduire les espaces vides. Les utilisateurs peuvent employer ces caractères pour créer un meilleur espacement dans les bios, les légendes et les statuts. Par exemple, en utilisant l'espace de largeur nulle (U+200B) depuis blankspacecopy.net, les utilisateurs peuvent maintenir la séparation entre les sections de leurs bios Instagram. De plus, l'insertion de lignes invisibles peut améliorer l'attrait visuel des légendes et des hashtags, rendant les publications plus organisées.

Invisible Unicode characters can be utilized to enhance the layout of posts on Instagram and WhatsApp, which typically collapse whitespace. Users can employ these characters to create better spacing in bios, captions, and statuses. For instance, by using Zero-Width Space (U+200B) from blankspacecopy.net, users can maintain separation between sections in their Instagram bios. Additionally, inserting invisible lines can improve the visual appeal of captions and hashtags, making posts more organized.

WhatsApp will reportedly face further EU regulation

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