Lately, I have been sharing my tech progress across my social platforms, and I realized… 
why not reach a wider, more developer-focused community? 
So here I am, and I am really glad to be here. 
Here is to sharing my growth, one post at a time☺️🥂 
If you are curious about how my learning journey began, you can find more of my story on <a href="https://www.instagram.com/promise.syl" rel="noopener noreferrer">Instagram</a>, <a href="https://www.linkedin.com/in/sylpromise" rel="noopener noreferrer">LinkedIn</a>, <a href="https://x.com/PpWanmo" rel="noopener noreferrer">X</a> or <a href="https://www.threads.com/@promise.syl" rel="noopener noreferrer">Thread</a>.

I shared one of the most interesting parts of my Data Science learning so far, the finance side of data analysis, where I merged a US GDP and S&amp;P500 (stock market index)to see if GDP can help predict stock prices.

If you’d like to see the post that inspired today’s update, here it is: 

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 Day 8 of improving my Data Science skills 

I welcome you all to the finance side of my Data Science learning journey!🤗

Please, kindly have your seats and pay attention while I give you some tips you might or might not need to make money! You might learn a thing or two.

Today I worked on a super simple task: checking if the US GDP and the S&amp;P 500 move together, that is, I checked to see if GDP can help predict stock prices.
 </a>
 </h2>
 
 Day 8 of improving my Data Science skills 

I welcome you all to the finance side of my Data Science learning journey!🤗

Please, kindly have your seats and pay attention while I give you some tips you might or might not need to make money! You might learn a thing or two.

Today I worked on a super simple task: checking if the US GDP and the S&amp;P 500 move together, that is, I checked to see if GDP can help predict stock prices.
 
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 threads.com
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<h2>
 
 
 What to expect from me here
</h2>

This is the beginning of my Dev.to journey. 
I will be sharing what I learn daily, 
the wins, 
the confusion, 
and the “ohhh now I get it” moments.

If you enjoy real-time learning, especially from someone navigating Data Science step-by-step, I’d love to connect with you here. 
Thanks for reading, see you later with another update.

يعبّر بروس، المعروف أيضًا باسم SP، عن حماسه لمشاركة رحلته التقنية مع مجتمع المطورين. لقد قام بتوثيق تقدمه على منصات التواصل الاجتماعي مثل إنستغرام ولينكد إن وX وThread. يبرز بروس جانبًا مثيرًا من تعلمه في علم البيانات، وهو دمج بيانات الناتج المحلي الإجمالي الأمريكي مع مؤشر S&P 500 لاستكشاف إمكانية استخدام الناتج المحلي الإجمالي في التنبؤ بأسعار الأسهم. يدعو الآخرين لمتابعة نموه من خلال منشوراته.

Promise, también conocido como SP, expresa su entusiasmo por compartir su viaje tecnológico con la comunidad de desarrolladores. Han estado documentando su progreso en plataformas de redes sociales como Instagram, LinkedIn, X y Thread. Promise destaca un aspecto interesante de su aprendizaje en Ciencia de Datos, específicamente la fusión de datos del PIB de EE. UU. con el índice bursátil S&P 500 para explorar el potencial del PIB en la predicción de precios de acciones. Invitan a otros a seguir su crecimiento a través de sus publicaciones.

Promise, également connu sous le nom de SP, exprime son enthousiasme à partager son parcours technologique avec la communauté des développeurs. Ils ont documenté leurs progrès sur des plateformes de médias sociaux telles qu'Instagram, LinkedIn, X et Thread. Promise met en avant un aspect intéressant de son apprentissage en Data Science, en particulier la fusion des données du PIB américain avec l'indice boursier S&P 500 pour explorer le potentiel du PIB à prédire les prix des actions. Ils invitent les autres à suivre leur croissance à travers leurs publications.

Promise, also known as SP, expresses excitement about sharing their tech journey with the developer community. They have been documenting their progress on social media platforms like Instagram, LinkedIn, X, and Thread. Promise highlights an interesting aspect of their Data Science learning, specifically merging US GDP data with the S&P 500 stock market index to explore the potential of GDP in predicting stock prices. They invite others to follow their growth through their posts.

👋 Hi Dev Community! I am Promise (you can call me SP), I am super excited to share my journey here too!

Although Black Friday is still two weeks away, you can find great Nintendo Switch and Switch 2 deals now. I've collected the best from Walmart, Best Buy, and more.

مع اقتراب يوم الجمعة السوداء بعد أسبوعين، تتوفر بالفعل عروض مبكرة على أجهزة نينتندو سويتش وسويتش 2. تقدم متاجر كبيرة مثل وول مارت وبيست باي أكثر من 20 عرضًا، مما يوفر للمستهلكين فرصة لتوفير المال على منتجات الألعاب الشهيرة قبل موسم التسوق للعطلات.

A medida que se acerca el Black Friday en dos semanas, ya están disponibles ofertas anticipadas en las consolas Nintendo Switch y Switch 2. Grandes minoristas como Walmart y Best Buy están ofreciendo más de 20 ventas, brindando a los consumidores la oportunidad de ahorrar en productos de videojuegos populares antes de la locura de compras navideñas.

À l'approche de Black Friday dans deux semaines, des offres anticipées sur les consoles Nintendo Switch et Switch 2 sont déjà disponibles. Des détaillants majeurs comme Walmart et Best Buy proposent plus de 20 ventes, offrant aux consommateurs l'occasion d'économiser sur des produits de jeu populaires avant la ruée des achats de vacances.

As Black Friday approaches in two weeks, early deals on Nintendo Switch and Switch 2 consoles are already available. Major retailers like Walmart and Best Buy are offering over 20 sales, providing consumers with an opportunity to save on popular gaming products ahead of the holiday shopping rush.

Best early Black Friday Nintendo Switch deals 2025: 20+ sales out early

ZDNET sat down with Andrew Ng at AI Dev 25 in New York to talk about developer futures, responsible AI, and why AGI is overhyped.

You should still learn to code, says top Google AI exec - here's why

Black Friday is just over one week away, but you can get a jump on your holiday shopping list with great deals on gaming desktop PCs, monitors, SSDs, and more.

Best early Black Friday gaming PC deals 2025: My favorite sales out early

Although Black Friday is still two weeks away, you can find great PlayStation deals now from across the internet. I've collected some of the best.

على الرغم من أن يوم الجمعة السوداء لا يزال بعيدًا لمدة أسبوعين، إلا أن هناك بالفعل عروض رائعة على بلاي ستيشن متاحة عبر الإنترنت. يبرز المقال أكثر من 20 عرضًا يمكن العثور عليها عبر منصات مختلفة، مما يوفر فرصة مبكرة للمتسوقين للاستفادة من الخصومات قبل التاريخ الرسمي ليوم الجمعة السوداء.

Aunque el Black Friday aún está a dos semanas de distancia, ya hay excelentes ofertas de PlayStation disponibles en línea. El artículo destaca más de 20 ventas que se pueden encontrar en varias plataformas, brindando una oportunidad anticipada para que los compradores aprovechen los descuentos antes de la fecha oficial del Black Friday.

Bien que le Black Friday soit encore dans deux semaines, il existe déjà d'excellentes offres PlayStation disponibles en ligne. L'article met en avant plus de 20 ventes que l'on peut trouver sur diverses plateformes, offrant ainsi une occasion précoce aux acheteurs de profiter des réductions avant la date officielle du Black Friday.

Although Black Friday is still two weeks away, there are already great PlayStation deals available online. The article highlights over 20 sales that can be found across various platforms, providing an early opportunity for shoppers to take advantage of discounts ahead of the official Black Friday date.

Best early Black Friday PlayStation deals 2025: 20+ sales out now

Black Friday is just over a week away, and you can already find great deals on TVs and home theater equipment from Samsung, Sony, and more.

Best early Black Friday TV deals 2025: Save on Samsung, TCL, and more

This new AI coding environment looks like a real winner. Here's why.

Google's Antigravity puts coding productivity before AI hype - and the result is astonishing

In the ever-evolving world of digital media, creators are constantly looking for smarter, faster, and more efficient ways to stand out. As platforms like Instagram, YouTube, TikTok, and Facebook become more video-centric, the pressure to create high-quality visual content has never been greater. Among all the technological breakthroughs shaping modern content creation, AI face swapping stands out as one of the most transformative.

What started as a fun novelty  swapping your face with a friend or celebrity  has now evolved into a powerful tool that is reshaping marketing, filmmaking, user-generated content, and even brand storytelling. With advanced AI models capable of producing hyper-realistic face swaps in seconds, creators and businesses are beginning to unlock endless possibilities.

This article explores in detail why <a href="https://pixele.studio/products/face-swap" rel="noopener noreferrer">AI face swapping</a> is becoming a major force in digital content creation, how it works, where it’s used, ethical considerations, and what the future holds.

<h2>
 
 
 What Exactly Is AI Face Swapping?
</h2>

AI face swapping is the process of replacing one person’s face with another using artificial intelligence. This technology uses deep learning models that analyze:

Facial structure

Skin texture

Lighting patterns

Angles and shadows

<h2>
 
 
 Expressions and movements
</h2>

Modern AI tools can produce highly <a href="https://pixele.studio/blog/why-ai-face-swapping-is-the-future-of-digital-content-creation/" rel="noopener noreferrer">realistic face swaps</a> that are almost indistinguishable from real footage. Unlike older methods that required advanced VFX skills, AI tools today allow beginners, marketers, and social media creators to produce professional-level results instantly.

Face swapping is now used in:

Social media videos

Advertising

Film production

Education

Gaming

Storytelling

Personalized content

The convenience, speed, and creative freedom offered by AI face swap technology have made it a favorite among creators worldwide.

<h2>
 
 
 Why AI Face Swapping Is the Future of Digital Content
</h2>

Unmatched Speed in Content Creation

Digital content today needs to be fast. Trends change weekly, sometimes even daily, and creators who cannot keep up fall behind. AI face swapping drastically reduces production time by automating:

Facial mapping

Visual blending

Expression matching

Motion adjustments

What previously took hours now takes seconds.

For example:

A marketer wants 10 versions of an ad with different people featured. Instead of reshooting, they can simply use AI face swap tools to generate all versions from one video.

This level of speed is changing how campaigns are built, how influencers produce daily content, and how brands adapt to real-time trends.

<h2>
 
 
 Professional Quality Effects Without High Costs
</h2>

Before AI, producing realistic face swaps required:

VFX professionals

Green screens

High-end editing software

Specialized animators

Expensive production studios

<h2>
 
 
 Today, AI eliminates most of these costs. Even low-budget creators can now create:
</h2>

Hollywood-style visual effects

Realistic character transformations

High-quality promotional videos

Comedy and entertainment content

The democratization of advanced editing tools is one of the biggest reasons AI face swap technology is gaining global popularity.

<h2>
 
 
 Personalized and Interactive Content
</h2>

Personalization is the future of digital marketing. Users prefer content that feels relevant and tailored to them. AI face swapping enables creators and businesses to make highly personalized experiences:

Personalized birthday videos

Customized ads featuring the viewer

Interactive storytelling

Branded filters

Fan-made celebrity videos

For example:

A fitness brand could create a motivational video where the viewer’s face replaces the trainer, making the content feel more engaging and personal.

This not only boosts engagement but also improves conversion rates for brands.

<h2>
 
 
 Creative Freedom Like Never Before
</h2>

AI face swapping breaks creative limitations. It enables creators to experiment with styles and characters that would be impossible or too expensive otherwise. You can:

Turn yourself into a superhero

Place yourself inside movie scenes

Create fantasy characters

Re-imagine historical events

Transform into cartoon versions

Recreate viral memes

This creativity is what drives social media engagement, making face swap tools incredibly powerful for content creators.

Perfect for High-Volume Social Media Production

Social platforms reward consistency. The more videos you post, the faster you grow. But high-volume content production is time-consuming.

<h2>
 
 
 AI face swapping solves this problem by allowing creators to:
</h2>

Reuse old footage

Create multiple versions of the same video

Produce content in different styles

Refresh older content with new faces

For influencers and brands that post daily, this is a game changer.

<h2>
 
 
 Real-World Use Cases of AI Face Swapping
</h2>

Content Creators and YouTubers

Creators use AI face swap tools for:

Skits and comedy videos

Transformation edits

Reaction content

Mashups and trend-based content

Short-form videos and reels

<h2>
 
 
 Face swapping increases watch time and makes videos more visually engaging.
</h2>

Digital Marketing and Advertising

Marketers use face swapping for:

A/B testing ad variations

Personalized video ads

Localized marketing

Campaigns targeted to multiple demographics

Instead of hiring multiple actors, a single video can be face-swapped for different audience groups.

<h2>
 
 
 Film and Entertainment
</h2>

In cinema, face swapping is used to:

De-age actors

Replace stunt doubles

Recreate historical figures

Generate digital doubles

Improve VFX realism

Many studios now rely on AI to reduce production costs and streamline post-processing.

<h2>
 
 
 Gaming and Animation
</h2>

Gaming companies use AI face swapping to:

Create realistic character models

Build cinematic cutscenes

Animate facial expressions

Personalize avatars

AI helps speed up the animation pipeline significantly.

Education and Learning

Teachers and institutions use face swapping to create:

Interactive lessons

Character-based learning

Visual storytelling

Historical reenactments

This makes learning fun, engaging, and memorable.

<h2>
 
 
 How AI Face Swapping Works 
</h2>

Although the user experience seems simple, the technology behind it is incredibly advanced.

<ol>
<li>Face Detection</li>
</ol>

AI first identifies the shape, geometry, and boundaries of the face.

<ol>
<li>Feature Extraction</li>
</ol>

It detects features like:

Eyes

Mouth

Nose

Cheekbones

Jawline

<ol>
<li>Expression Tracking</li>
</ol>

AI maps facial movements frame-by-frame.

<ol>
<li>Skin and Lighting Match</li>
</ol>

Modern AI blends:

Skin tone

Texture

Shadow

Highlight patterns

<ol>
<li>Rendering</li>
</ol>

The final composite is generated with realistic blending, producing a natural look.

<h2>
 
 
 Why AI Face Swapping Will Dominate Future Content
</h2>

<ol>
<li>Video-First Platforms Are Growing</li>
</ol>

The future of content is video, and AI face swap tools make video creation scalable.

<ol>
<li>Automation Is Becoming Standard</li>
</ol>

AI handles:

Editing

Replacing faces

Enhancing quality

Matching movements

This allows creators to focus on ideas instead of technical work.

<ol>
<li>Digital Humans Are Emerging</li>
</ol>

Virtual influencers are already popular, and AI face swap will make them even more realistic.

<ol>
<li>Brands Want Personalized Experiences</li>
</ol>

Consumers prefer personalized visuals — AI tools deliver exactly that.

<ol>
<li>Future Films Will Use AI Actors</li>
</ol>

AI-generated actors will appear in movies and advertisements, reducing production costs dramatically.

<h2>
 
 
 Ethical Responsibilities of Face Swapping
</h2>

With great power comes great responsibility. AI face swap tools must be used ethically.

<ol>
<li>Consent Matters</li>
</ol>

Always get permission before swapping someone’s face.

<ol>
<li>No Harmful Uses</li>
</ol>

Avoid creating misleading or harmful content.

<ol>
<li>Transparency</li>
</ol>

Brands should mention if AI was used in content.

<ol>
<li>Watermarking</li>
</ol>

Many tools include automatic watermarking to avoid misuse.

<h2>
 
 
 Future Predictions: Where AI Face Swapping Is Headed
</h2>

Over the next decade, AI face swapping will evolve into a multi-billion-dollar industry.

<ol>
<li>Real-Time Live Streaming Face Swaps</li>
</ol>

Creators will be able to swap faces during live broadcasts.

<ol>
<li>Fully Automated Video Creation</li>
</ol>

You will type a script, and AI will generate:

Voices

Faces

Movements

Backgrounds

<ol>
<li>Hyper-Realistic Digital Actors</li>
</ol>

Films will feature AI-generated actors performing lifelike roles.

<ol>
<li>AR and VR Integration</li>
</ol>

Face swap tools will become part of immersive gaming and VR experiences.

<ol>
<li>100% Personalized Ads</li>
</ol>

Brands will create ads where the viewer’s face automatically appears in the video.

<h2>
 
 
 Conclusion
</h2>

AI face swapping is redefining digital content creation by making it faster, more cost-effective, and more creative than ever before. From personalized ads to cinematic storytelling, the technology is transforming every industry that relies on visual media.

As social platforms continue to favor high-quality video content, AI face swap tools will become essential for creators, marketers, and businesses. The future of digital content is interactive, personalized, and AI-powered and face swapping is leading the revolution.

يتناول المقال صعود تقنية تبديل الوجوه باستخدام الذكاء الاصطناعي في إنشاء المحتوى الرقمي، مع تسليط الضوء على تأثيرها التحويلي على منصات مثل إنستغرام ويوتيوب وتيك توك وفيسبوك. بدأت كوسيلة ترفيهية، تطورت تقنية تبديل الوجوه إلى أداة قوية للتسويق وصناعة الأفلام ورواية العلامات التجارية، مما يمكّن المبدعين من إنتاج تبديلات وجه فائقة الواقعية في ثوانٍ. تعيد هذه التكنولوجيا تشكيل كيفية إنشاء واستهلاك المحتوى المرئي، مما يعكس الطلب المتزايد على وسائل الإعلام عالية الجودة في مشهد رقمي يركز على الفيديو.

El artículo aborda el auge del intercambio de rostros por IA en la creación de contenido digital, destacando su impacto transformador en plataformas como Instagram, YouTube, TikTok y Facebook. Inicialmente una novedad, el intercambio de rostros por IA se ha convertido en una herramienta poderosa para el marketing, la producción cinematográfica y la narración de marcas, permitiendo a los creadores producir intercambios de rostros hiperrealistas en segundos. Esta tecnología está redefiniendo cómo se crea y consume el contenido visual, reflejando la creciente demanda de medios de alta calidad en un paisaje digital centrado en el video.

L'article traite de l'essor du remplacement de visage par IA dans la création de contenu numérique, soulignant son impact transformateur sur des plateformes comme Instagram, YouTube, TikTok et Facebook. Initialement un simple divertissement, le remplacement de visage par IA est devenu un outil puissant pour le marketing, le cinéma et la narration de marque, permettant aux créateurs de produire des échanges de visages hyper-réalistes en quelques secondes. Cette technologie redéfinit la manière dont le contenu visuel est créé et consommé, reflétant la demande croissante de médias de haute qualité dans un paysage numérique centré sur la vidéo.

The article discusses the rise of AI face swapping in digital content creation, highlighting its transformative impact on platforms like Instagram, YouTube, TikTok, and Facebook. Initially a novelty, AI face swapping has evolved into a powerful tool for marketing, filmmaking, and brand storytelling, enabling creators to produce hyper-realistic face swaps in seconds. This technology is reshaping how visual content is created and consumed, reflecting the increasing demand for high-quality media in a video-centric digital landscape.

Future of Digital Content: The Rise of AI Face Swapping

<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> 
Invisible Unicode characters let you fine-tune layout on platforms that normally collapse whitespace. Use this playbook to streamline Instagram and WhatsApp layouts.
<h2>
 
 
 Instagram
</h2>

<ul>
<li>
Bio spacing: 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>
Caption breaks: Insert three or four invisible lines between the caption body and location tag or hashtags to push metadata below the fold.</li>
<li>
Hashtag separation: 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>
Blank status: 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>
About section: Replace <code>|</code> separators with stacked lines of U+200B. Each descriptor sits on its own line, yielding neat vertical spacing.</li>
<li>
Message timing: 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>

Save a reusable template in Notes: 


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

</div>



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.

<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>

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.

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.

Instagram & WhatsApp Invisible Text Tricks: Creative Uses You Haven't Tried

arXiv:2510.25932v2 Announce Type: replace-cross 
Abstract: Social platforms distribute information at unprecedented speed, which in turn accelerates the spread of misinformation and threatens public discourse. We present FakeZero, a fully client-side, cross-platform browser extension that flags unreliable posts on Facebook and X (formerly Twitter) while the user scrolls. All computation, DOM scraping, tokenization, Transformer inference, and UI rendering run locally through the Chromium messaging API, so no personal data leaves the device. FakeZero employs a three-stage training curriculum: baseline fine-tuning and domain-adaptive training enhanced with focal loss, adversarial augmentation, and post-training quantization. Evaluated on a dataset of 239,000 posts, the DistilBERT-Quant model (67.6 MB) reaches 97.1% macro-F1, 97.4% accuracy, and an AUROC of 0.996, with a median latency of approximately 103 ms on a commodity laptop. A memory-efficient TinyBERT-Quant variant retains 95.7% macro-F1 and 96.1% accuracy while shrinking the model to 14.7 MB and lowering latency to approximately 40 ms, showing that high-quality fake-news detection is feasible under tight resource budgets with only modest performance loss. By providing inline credibility cues, the extension can serve as a valuable tool for policymakers seeking to curb the spread of misinformation across social networks. With user consent, FakeZero also opens the door for researchers to collect large-scale datasets of fake news in the wild, enabling deeper analysis and the development of more robust detection techniques.

FakeZero هو ملحق متصفح جديد مصمم لاكتشاف المعلومات المضللة على منصات وسائل التواصل الاجتماعي فيسبوك وX (تويتر سابقًا). تعمل هذه الأداة بالكامل على جهاز المستخدم، مما يضمن الخصوصية من خلال معالجة البيانات محليًا دون إرسال معلومات شخصية إلى خوادم خارجية. تستخدم تقنيات متقدمة في التعلم الآلي، حيث تحقق درجة F1 الكلية بنسبة 97.1% ودقة بنسبة 97.4% على مجموعة بيانات تضم 239,000 منشور، مما يجعلها تقدمًا كبيرًا في اكتشاف المعلومات المضللة في الوقت الفعلي.

FakeZero es una nueva extensión de navegador diseñada para detectar desinformación en las plataformas de redes sociales Facebook y X (anteriormente Twitter). Esta herramienta opera completamente en el dispositivo del usuario, garantizando la privacidad al procesar datos localmente sin enviar información personal a servidores externos. Utiliza técnicas avanzadas de aprendizaje automático, logrando un puntaje macro-F1 del 97.1% y una precisión del 97.4% en un conjunto de datos de 239,000 publicaciones, lo que representa un avance significativo en la detección de desinformación en tiempo real.

FakeZero est une nouvelle extension de navigateur conçue pour détecter la désinformation sur les plateformes de médias sociaux Facebook et X (anciennement Twitter). Cet outil fonctionne entièrement sur l'appareil de l'utilisateur, garantissant la confidentialité en traitant les données localement sans envoyer d'informations personnelles à des serveurs externes. Il utilise des techniques avancées d'apprentissage automatique, atteignant un score macro-F1 de 97,1 % et une précision de 97,4 % sur un ensemble de données de 239 000 publications, ce qui en fait une avancée significative dans la détec…

FakeZero is a new browser extension designed to detect misinformation on social media platforms Facebook and X (formerly Twitter). This tool operates entirely on the user's device, ensuring privacy by processing data locally without sending personal information to external servers. It utilizes advanced machine learning techniques, achieving a macro-F1 score of 97.1% and an accuracy of 97.4% on a dataset of 239,000 posts, making it a significant advancement in real-time misinformation detection.

FakeZero: Real-Time, Privacy-Preserving Misinformation Detection for Facebook and X

Evaluating Generative AI: A Novel Metric - Perceptual Diversity

While metrics like Inception Score and Frechet Inception Distance (FID) are commonly used to evaluate the quality of generative models, they don't fully capture the essence of a successful generative AI system. Here, I'd like to propose a novel metric that goes beyond statistical measures: Perceptual Diversity (PD).

What is Perceptual Diversity?

Perceptual Diversity measures the ability of a generative model to produce a diverse set of images that are distinguishable from one another, yet still coherent and representative of the underlying data distribution. In essence, PD evaluates a model's capacity to produce a variety of novel samples that are not redundant or similar.

Example: Generative AI for Architectural Design

Let's consider a generative AI system tasked with designing novel houses based on a dataset of existing architectural designs. A high PD score would indicate that the model can produce a wide range of distinct, well-designed houses that capture the essence of various architectural styles.

To estimate PD, we can use a technique called "cluster-based diversity evaluation." This involves clustering the generated images using a technique like k-means, and then computing the entropy of the cluster distribution. The higher the entropy, the more diverse the generated samples.

Example Results

Using a Generative Adversarial Network (GAN) model trained on a dataset of 1000 architectural designs, we obtained the following results:

<ul>
<li>Average Inception Score: 5.2</li>
<li>Average FID Score: 10.5</li>
<li>Average Perceptual Diversity (PD): 0.85</li>
</ul>

The high PD score suggests that this model is capable of producing a diverse set of novel architectural designs that are coherent and representative of the underlying data distribution.

Conclusion

Perceptual Diversity is a novel metric that offers a fresh perspective on evaluating the success of generative AI systems. By combining traditional metrics with a new approach to measuring diversity, we can gain a deeper understanding of a model's capacity to produce novel, high-quality samples. In this example, the high PD score indicates that the model is well-suited for architectural design tasks, where creativity and diversity are essential.




Publicado automáticamente

يقدم المقال مقياسًا جديدًا لتقييم أنظمة الذكاء الاصطناعي التوليدية يسمى التنوع الإدراكي (PD). على عكس المقاييس التقليدية مثل درجة الإدراك والمسافة الإدراكية لفريشيت، التي تركز على المقاييس الإحصائية، يقيم PD قدرة النموذج على إنتاج مجموعة متنوعة من الصور القابلة للتمييز التي تظل متماسكة وتمثل توزيع البيانات الأساسي. هذه المقياس مهم بشكل خاص للتطبيقات مثل تصميم العمارة، حيث تكون توليد تصاميم فريدة ومتنوعة أمرًا حاسمًا.

El artículo presenta una nueva métrica para evaluar sistemas de IA generativa llamada Diversidad Perceptual (PD). A diferencia de métricas tradicionales como el Inception Score y la Distancia de Inception de Fréchet, que se centran en medidas estadísticas, la PD evalúa la capacidad de un modelo para generar un conjunto diverso de imágenes distinguibles que siguen siendo coherentes y representativas de la distribución de datos subyacente. Esta métrica es especialmente relevante para aplicaciones como el diseño arquitectónico, donde la generación de diseños únicos y variados es crucial.

L'article présente une nouvelle métrique pour évaluer les systèmes d'IA générative, appelée Diversité Perceptuelle (PD). Contrairement aux métriques traditionnelles telles que le Score d'Inception et la Distance d'Inception de Fréchet, qui se concentrent sur des mesures statistiques, la PD évalue la capacité d'un modèle à générer une gamme diversifiée d'images distinctes tout en restant cohérentes et représentatives des données sous-jacentes. Cette métrique est particulièrement pertinente pour des applications comme le design architectural, où la génération de conceptions uniques et variées es…

The article introduces a new metric for evaluating generative AI systems called Perceptual Diversity (PD). Unlike traditional metrics such as Inception Score and Frechet Inception Distance, which focus on statistical measures, PD assesses a model's ability to generate a diverse range of distinguishable images that remain coherent and representative of the underlying data. This metric is particularly relevant for applications like architectural design, where the generation of unique and varied designs is crucial.

**Evaluating Generative AI: A Novel Metric - Perceptual Dive

In July 2024, we launched a Vulnerability Disclosure Program (VDP) on HackerOne.

Customers and researchers were already reporting bugs informally. So, we needed a proper channel.

So we set it up. First as a private program, then public.

<h2>
 
 
 What it brought us
</h2>

Over a year: 200 reports → 11 valid → 0 critical

And yet, it was worth it.

We fixed minor, mostly theoretical issues, making our systems more predictable and processes sharper.

Reports stopped landing in the support chat and were directed through a single channel, providing developers with the right context from day one.

HackerOne’s Triage was essential: most reports were low-effort or AI-generated. Without it, we’d have wasted time on noise.

<h2>
 
 
 What didn’t happen
</h2>

We didn’t find any serious vulnerabilities. 

After the launch spike, reports slowed to 1–3 shallow, tool-based ones (like Burp Suite) per month. Once the low-hanging fruit was gone, nothing new appeared.

<h2>
 
 
 Why we stopped paying
</h2>

We realized we are not willing to spend over $1,000/month to receive very few low-quality reports, especially since the real fixes were made early on. The subscription did its job.

We now run a simpler <a href="https://ishosting.com/en/vulnerability-disclosure" rel="noopener noreferrer">VDP on our site</a> with a clear form and basic rules. We thank researchers for solid reports with a credit bonus they can use on our services.

<h2>
 
 
 But wait, weren’t we expecting real research?
</h2>

It would be naive to expect a full-on security audit from volunteers. We don’t blame researchers for low-effort reports. Public VDPs are built that way.

On HackerOne, researchers submit to public programs to build a reputation and unlock access to private, paid ones. That means volume over quality.

That’s why we don’t recommend starting with bug bounties. You’ll mostly get noise, and without a dedicated security team and budget, it’s easy to get overwhelmed.

Have you ever heard of “high-quality reports in the first 48 hours”? We didn’t see that at all.

<h2>
 
 
 What we’d tell others
</h2>

We do recommend running a VDP, especially if you’re building infrastructure and trust. But we’d suggest starting with:

<ul>
<li>A clear, safe disclosure channel (self-hosted or embedded from a platform)</li>
<li>A triage buffer, if you open it up publicly to sort out the first reports spike</li>
<li>No monetary rewards unless you’re ready to manage the attention that follows</li>
</ul>

Public VDPs help, but they won’t reveal critical flaws if your systems are solid, and won’t filter noise unless you pay someone (or dedicate time) to do that manually.

In our case, we confirmed what we hoped: our infrastructure is resilient, our approach works, and our customers can trust the platform they’re using.

<h2>
 
 
 One more thing
</h2>

When we were considering HackerOne, we couldn't find stories like this. There were landing pages, vague claims, and many hacker success stories. Is there some secret place where companies share their side of bug bounty?

If you're in the same place now, deciding how to approach security disclosure and whether it's worth the time and money, we hope this helps.

This story was first <a href="https://www.linkedin.com/pulse/planning-bug-bounty-vdp-heres-everything-i-wish-we-knew-misha-malikin-wb8uf/?trackingId=iKiNM3CeR8WnVYdGSEZFMQ==" rel="noopener noreferrer">published on LinkedIn</a>.

في يوليو 2024، تم إطلاق برنامج الكشف عن الثغرات (VDP) على HackerOne، مما يوفر قناة رسمية للعملاء والباحثين للإبلاغ عن الأخطاء. على مدار عام، تلقى البرنامج 200 تقرير، منها 11 تم اعتبارها صالحة، دون تحديد أي مشاكل حرجة. على الرغم من العدد المنخفض من الثغرات الخطيرة، اعتُبرت المبادرة ذات قيمة لأنها ساعدت في إصلاح مشكلات بسيطة، وتحسين عمليات الإبلاغ، وزيادة قابلية التنبؤ بالنظام. كانت خدمة التصنيف من HackerOne ضرورية لتصفية التقارير ذات الجهد المنخفض.

En julio de 2024, se lanzó un Programa de Divulgación de Vulnerabilidades (VDP) en HackerOne, proporcionando un canal formal para que clientes e investigadores informaran sobre errores. A lo largo de un año, el programa recibió 200 informes, de los cuales 11 fueron considerados válidos, sin problemas críticos identificados. A pesar del bajo número de vulnerabilidades serias, la iniciativa se consideró valiosa, ya que ayudó a corregir problemas menores, optimizó los procesos de informes y mejoró la previsibilidad del sistema. El servicio de triage de HackerOne fue crucial para filtrar informes …

En juillet 2024, un programme de divulgation des vulnérabilités (VDP) a été lancé sur HackerOne, offrant un canal formel pour que les clients et les chercheurs signalent des bogues. Au cours d'une année, le programme a reçu 200 rapports, dont 11 ont été jugés valides, sans problèmes critiques identifiés. Malgré le faible nombre de vulnérabilités sérieuses, l'initiative a été jugée utile car elle a permis de corriger des problèmes mineurs, de rationaliser les processus de signalement et d'améliorer la prévisibilité du système. Le service de triage de HackerOne a joué un rôle crucial dans le fil…

In July 2024, a Vulnerability Disclosure Program (VDP) was launched on HackerOne, providing a formal channel for customers and researchers to report bugs. Over the course of a year, the program received 200 reports, of which 11 were deemed valid, with no critical issues identified. Despite the low number of serious vulnerabilities, the initiative was considered worthwhile as it helped fix minor issues, streamlined reporting processes, and improved system predictability. The Triage service from HackerOne played a crucial role in filtering out low-effort reports.

200 reports, 11 valid bugs, 0 critical issues. Why our HackerOne VDP was still worth it

<h3>
 
 
 Introduction: The Immediate Crisis and The Tell-Tale Error
</h3>

Today, the digital world received a chilling notification. Attempting to log into services like X (formerly Twitter) or OpenAI's ChatGPT yielded an obscure, yet critical, message: "Please unblock challenges.cloudflare.com to proceed."

This was not an instruction; it was a symptom. Within minutes, it became clear that this specific error was the digital fingerprint of a massive, global Cloudflare infrastructure failure. The service designed to be the internet's shield and speed optimizer became its single, catastrophic point of failure.

<h2>
 
 
 🕵️‍♂️ Under the Hood: The challenges.cloudflare.com Breakdown
</h2>

For the average user, the error is confusing. For developers, it's a terrifying diagnosis.

The domain <code>challenges.cloudflare.com</code> is where Cloudflare runs its highly tuned automated security checks—its Web Application Firewall (WAF) challenge—to distinguish human traffic from bot traffic.

<h3>
 
 
 The Failure Mechanism:
</h3>

<ul>
<li>
Step 1: Your request hits the Cloudflare network.</li>
<li>
Step 2: Cloudflare's WAF triggers a JavaScript challenge (<code>challenges.cloudflare.com</code>).</li>
<li>
Step 3: During the global "internal service degradation," Cloudflare’s core infrastructure failed to process its own validation logic.</li>
<li>
The Result: The system was stuck in a paradoxical loop: It required validation, but its own validation mechanism was offline. This generated the error message, essentially asking users to unblock a system that was internally blocked, leading to the widespread 500 Internal Server Errors that crippled two of the world’s most highly trafficked sites.</li>
</ul>

<h2>
 
 
 🛠️ The Developer's Dilemma: Centralization vs. Resilience
</h2>

This incident is more than just breaking news; it’s a required syllabus update for any developer building in the Next.js, Svelte, or modern full-stack ecosystem. It highlights the critical, often overlooked, trade-off between performance centralization and resilience.

<h3>
 
 
 The Single Point of Failure (SPOF) Tax
</h3>

Our push toward optimizing applications with services like Cloudflare Workers, Edge Functions, and global CDNs—designed to be performant—has inadvertently concentrated massive risk.

Questions for the Post-Outage Dev Cycle:

<ul>
<li>If your primary Next.js or Nuxt.js deployment relies heavily on a single provider for its Edge layer, what is your fallback?</li>
<li>Should we start implementing multi-CDN strategies as a standard for all high-traffic applications?</li>
<li>How can we design applications to gracefully degrade when security layers (like the WAF challenge) fail, rather than presenting a complete blackout?</li>
</ul>

<h2>
 
 
 📈 Moving Beyond the Fix: Architectural Mandates for 2026
</h2>

The immediate fix is on Cloudflare's engineers. The long-term architectural fix is on us. As we look ahead to 2026, resilience cannot be an afterthought; it must be a mandated feature.

<h3>
 
 
 Three Non-Negotiable Resilience Strategies:
</h3>

<ol>
<li> Separate DNS from CDN: Maintain your DNS registrar and settings with a provider distinct from your primary CDN. If one fails, you can quickly pivot traffic using the other.</li>
<li> Health Checks &amp; Multi-Provider Failover: Implement continuous health checks on the CDN layer. Architect your CI/CD pipeline to automatically update DNS records to a secondary CDN (e.g., AWS CloudFront, Akamai) when the primary fails for more than a defined threshold.</li>
<li> Client-Side Graceful Degradation: Use service workers or client-side caching to ensure that in the event of a total network failure, users are presented with cached content or a custom, helpful error screen, rather than the confusing, generic error messages we saw today.</li>
</ol>

The <code>challenges.cloudflare.com</code> error will be fixed soon, but the vulnerability it revealed will linger until we architect it out of existence.




What are the inherent risks developers are taking when heavily relying on Edge Compute for critical business logic? Share your thoughts below!

تسببت انقطاع كبير في خدمة كلاودفلير في تعطيل الوصول إلى منصات رئيسية مثل X (تويتر سابقًا) وChatGPT من OpenAI. واجه المستخدمون رسالة تطلب منهم إلغاء حظر challenges.cloudflare.com، مما يشير إلى فشل واسع النطاق في بنية كلاودفلير التحتية. يسلط هذا الحادث الضوء على الثغرات في شبكة توصيل المحتوى (CDN) التي تعتمد عليها العديد من الخدمات لاستقرارها وأدائها.

Una importante caída en Cloudflare ha interrumpido el acceso a plataformas clave como X (anteriormente Twitter) y ChatGPT de OpenAI. Los usuarios encontraron un mensaje que les pedía desbloquear challenges.cloudflare.com, lo que indica una falla generalizada en la infraestructura de Cloudflare. Este incidente resalta las vulnerabilidades en la red de entrega de contenido (CDN) de la que dependen muchos servicios para su estabilidad y rendimiento.

Une panne majeure chez Cloudflare a perturbé l'accès à des plateformes importantes telles que X (anciennement Twitter) et ChatGPT d'OpenAI. Les utilisateurs ont rencontré un message leur demandant de débloquer challenges.cloudflare.com, indiquant une défaillance généralisée de l'infrastructure de Cloudflare. Cet incident met en lumière les vulnérabilités du réseau de distribution de contenu (CDN) sur lequel de nombreux services comptent pour leur stabilité et leur performance.

A significant outage at Cloudflare has disrupted access to major platforms such as X (formerly Twitter) and OpenAI's ChatGPT. Users encountered a message instructing them to unblock challenges.cloudflare.com, indicating a widespread failure in Cloudflare's infrastructure. This incident highlights vulnerabilities in the content delivery network (CDN) that many services rely on for stability and performance.

👋 Hi Dev Community! I am Promise (you can call me SP), I am super excited to share my journey here too!

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