Business AI is central to executive decision-making, with strong feedback loops enhancing its value. Companies prioritizing data quality and intuitive tools yield significant productivity gains.
The post <a href="https://bdtechtalks.com/2025/11/04/the-generative-ai-loop-why-more-use-leads-to-better-decision-making/">The generative AI loop: Why more use leads to better decision-making</a> first appeared on <a href="https://bdtechtalks.com">TechTalks</a>.

تُصبح الذكاء الاصطناعي التوليدي أساسيًا في اتخاذ القرارات التنفيذية، حيث تعزز حلقات التغذية الراجعة القوية فعاليتها بشكل كبير. الشركات التي تركز على جودة البيانات والأدوات السهلة الاستخدام تشهد تحسينات ملحوظة في الإنتاجية.

La IA generativa se está volviendo esencial para la toma de decisiones ejecutivas, ya que los fuertes bucles de retroalimentación mejoran significativamente su efectividad. Las empresas que se centran en la calidad de los datos y en herramientas intuitivas están viendo importantes mejoras en la productividad.

L'IA générative devient essentielle pour la prise de décision des dirigeants, car de solides boucles de rétroaction améliorent considérablement son efficacité. Les entreprises qui se concentrent sur la qualité des données et des outils conviviaux constatent d'importantes améliorations de productivité.

Generative AI is becoming essential for executive decision-making, as strong feedback loops significantly enhance its effectiveness. Companies that focus on data quality and user-friendly tools are seeing impressive productivity improvements.

The generative AI loop: Why more use leads to better decision-making

أطلقت DAZN رسميًا خدمتها على أمازون برايم فيديو في الولايات المتحدة والمملكة المتحدة، مما يسهل على عشاق الرياضة الوصول إلى الأحداث المباشرة والمحتوى الحصري. هذه الشراكة مهمة لأنها تجمع بين العروض الرياضية الواسعة لـ DAZN وقاعدة عملاء أمازون الكبيرة، مما قد يعزز تجربة المشاهدة ويزيد من الاشتراكات لكلا المنصتين.

DAZN ha lanzado oficialmente su servicio en Amazon Prime Video en los Estados Unidos y el Reino Unido, facilitando el acceso de los aficionados al deporte a eventos en vivo y contenido exclusivo. Esta asociación es significativa ya que combina la amplia oferta deportiva de DAZN con la vasta base de clientes de Amazon, lo que podría mejorar la experiencia del espectador y aumentar las suscripciones para ambas plataformas.

DAZN a officiellement lancé son service sur Amazon Prime Video aux États-Unis et au Royaume-Uni, facilitant ainsi l'accès des fans de sport aux événements en direct et au contenu exclusif. Ce partenariat est important car il combine l'offre sportive étendue de DAZN avec la vaste clientèle d'Amazon, ce qui pourrait améliorer l'expérience des téléspectateurs et augmenter les abonnements pour les deux plateformes.

DAZN has officially launched its service on Amazon Prime Video in the US and UK, making it easier for sports fans to access live events and exclusive content. This partnership is significant as it combines DAZN's extensive sports offerings with Amazon's vast customer base, potentially enhancing viewer experience and increasing subscriptions for both platforms.

DAZN is available through Amazon Prime Video in the US and UK

<img width="1741" height="990" src="https://the-decoder.com/wp-content/uploads/2024/02/sable_diffusion_3_examples-1.png" class="attachment-full size-full wp-post-image" alt="" style="height: auto; margin-bottom: 10px;" decoding="async" fetchpriority="high" />
 The High Court in London has thrown out Getty Images' main copyright case against Stability AI, marking a key moment for generative AI developers. The case focused on whether building an AI model from copyrighted images counts as copyright infringement.
The article <a href="https://the-decoder.com/uk-judge-rules-that-ai-image-generator-stable-diffusion-is-not-an-infringing-copy/">UK judge rules that AI image generator Stable Diffusion is not an &quot;infringing copy&quot;</a> appeared first on <a href="https://the-decoder.com">THE DECODER</a>.

حكم مهم من المحكمة العليا في لندن قضى بأن مولد الصور بالذكاء الاصطناعي Stable Diffusion لا ينتهك قوانين حقوق الطبع والنشر، كما زعمت Getty Images. هذه القرار حاسم لمستقبل الذكاء الاصطناعي التوليدي، حيث يضع سابقة قد تشجع على الابتكار والتطوير في هذا المجال. من خلال التأكيد على أنه يمكن بناء نماذج الذكاء الاصطناعي دون انتهاك حقوق الطبع والنشر، فتحت المحكمة الباب أمام تطبيقات أكثر إبداعًا لتكنولوجيا الذكاء الاصطناعي، مما قد يعود بالنفع على الفنانين والمطورين على حد سواء.

Un fallo significativo del Tribunal Superior de Londres ha determinado que el generador de imágenes AI Stable Diffusion no infringe las leyes de derechos de autor, como alegaba Getty Images. Esta decisión es crucial para el futuro de la IA generativa, ya que establece un precedente que podría fomentar la innovación y el desarrollo en el campo. Al afirmar que se pueden construir modelos de IA sin violar los derechos de autor, el tribunal ha abierto la puerta a aplicaciones más creativas de la tecnología de IA, lo que podría beneficiar tanto a artistas como a desarrolladores.

Un jugement important du tribunal de grande instance de Londres a déterminé que le générateur d'images AI Stable Diffusion ne viole pas les lois sur le droit d'auteur, comme l'affirmait Getty Images. Cette décision est cruciale pour l'avenir de l'IA générative, car elle établit un précédent qui pourrait encourager l'innovation et le développement dans ce domaine. En affirmant que des modèles d'IA peuvent être construits sans violer le droit d'auteur, le tribunal a ouvert la voie à des applications plus créatives de la technologie AI, ce qui pourrait bénéficier aux artistes et aux développeurs.

A significant ruling from the High Court in London has determined that the AI image generator Stable Diffusion does not infringe on copyright laws, as claimed by Getty Images. This decision is crucial for the future of generative AI, as it sets a precedent that could encourage innovation and development in the field. By affirming that AI models can be built without violating copyright, the court has opened the door for more creative applications of AI technology, which could benefit artists and developers alike.

UK judge rules that AI image generator Stable Diffusion is not an "infringing copy"

<h2>
 
 
 The Problem
</h2>

<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%2Fw8cox74zkbcd0tqhipg2.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%2Fw8cox74zkbcd0tqhipg2.png" alt=" " width="701" height="512"></a>

I spent a while trying to get a custom Windows XP-style start button to display correctly on my Linux Mint Cinnamon desktop. The button would work sometimes, but the solution was fragile and caused unintended side effects - like the start button image appearing in the Linux Mint Welcome Screen's lower right corner.

<h2>
 
 
 What Didn't Work
</h2>

<h3>
 
 
 The gsettings Approach ❌
</h3>

Initially, I tried using <code>gsettings</code> to force the icon: 


<div class="highlight js-code-highlight">
<pre class="highlight shell"><code>gsettings set com.linuxmint.mintmenu applet-icon "file:///home/user/Desktop/start-button.svg"
</code></pre>

</div>



Why this failed:

<ul>
<li>This sets a system-wide configuration that affects all applications</li>
<li>The start button image leaked into other parts of the system (Welcome Screen)</li>
<li>It created "messes" that looked unprofessional</li>
</ul>

<h3>
 
 
 The Base64 Data URI Approach ❌
</h3>

Next, I embedded the PNG image directly into the CSS as a base64 data URI: 


<div class="highlight js-code-highlight">
<pre class="highlight css"><code>background-image: url("data:image/png;base64,iVBORw0KGgo...") !important;
</code></pre>

</div>



Why this failed:

<ul>
<li>The base64 string was enormous (12KB+ image encoded)</li>
<li>The image simply wouldn't display despite correct CSS selectors</li>
<li>Overly complex and hard to maintain</li>
<li>The approach was "overworked" - too much effort for what should be simple</li>
</ul>

<h2>
 
 
 What Finally Worked ✅
</h2>

<h3>
 
 
 The Simple File Path Solution
</h3>

The solution is elegantly simple: 
Use a relative file path in CSS. 


<div class="highlight js-code-highlight">
<pre class="highlight css"><code>background-image: url("assets/start-button.png") !important;
</code></pre>

</div>



That's it. No base64 encoding. No gsettings. Just a clean, relative file path.

<h2>
 
 
 Step-by-Step Implementation
</h2>

<h3>
 
 
 1. Prepare Your Image
</h3>

Place your start button image in the theme's assets directory: 


<div class="highlight js-code-highlight">
<pre class="highlight shell"><code>~/.themes/Mint-XP/cinnamon/assets/start-button.png
</code></pre>

</div>



Image specs:

<ul>
<li>Dimensions: 122×40 pixels</li>
<li>Format: PNG (transparent background recommended)</li>
<li>Size: ~12KB</li>
</ul>

<h3>
 
 
 2. Edit the Theme CSS
</h3>

Open your theme's CSS file: 


<div class="highlight js-code-highlight">
<pre class="highlight shell"><code>~/.themes/Mint-XP/cinnamon/cinnamon.css
</code></pre>

</div>



Add this CSS block (or modify if it already exists): 


<div class="highlight js-code-highlight">
<pre class="highlight css"><code>/* === Windows XP Start Button Override === */
#panelLeft .applet-box:first-child {
 background-color: transparent !important;
 background-image: url("assets/start-button.png") !important;
 background-repeat: no-repeat !important;
 background-position: 0px center !important;
 background-size: 122px 40px !important;
 min-width: 122px !important;
 width: 122px !important;
 max-width: 122px !important;
 min-height: 40px !important;
 height: 40px !important;
 max-height: 40px !important;
 padding: 0 !important;
 margin: 0 !important;
 border: none !important;
 border-image: none !important;
 box-shadow: none !important;
}

/* Hide the default icon */
#panelLeft .applet-box:first-child StIcon,
#panelLeft .applet-box:first-child .applet-icon {
 width: 0 !important;
 height: 0 !important;
 icon-size: 0 !important;
 opacity: 0 !important;
 margin: 0 !important;
 padding: 0 !important;
}

/* Hide the label text */
#panelLeft .applet-box:first-child .applet-label {
 width: 0 !important;
 height: 0 !important;
 font-size: 0 !important;
 opacity: 0 !important;
 margin: 0 !important;
 padding: 0 !important;
 color: transparent !important;
}

/* Adjust spacing for next applet */
#panelLeft .applet-box:first-child + .applet-box {
 margin-left: -2px !important;
 padding-left: 0 !important;
 border: none !important;
 border-image: none !important;
 box-shadow: none !important;
}

/* Remove borders from panel elements */
#panelLeft,
#panelLeft .applet-box,
#panelLeft .applet-box:first-child,
#panelLeft .applet-box:first-child + .applet-box,
.panel-launchers,
.panel-launcher,
.panel-launcher:first-child {
 border: none !important;
 border-image: none !important;
 box-shadow: none !important;
 outline: none !important;
}

/* Hide separators */
#panelLeft .applet-separator,
#panelLeft .applet-separator-line {
 border: none !important;
 background: none !important;
 width: 0 !important;
 margin: 0 !important;
 padding: 0 !important;
}

/* Ensure other panels aren't affected */
#panelRight .applet-box:first-child,
#panelCenter .applet-box:first-child,
#panelTop .applet-box:first-child,
#panelBottom .applet-box:first-child {
 background: none !important;
 background-image: none !important;
 width: auto !important;
 height: auto !important;
 min-width: auto !important;
 min-height: auto !important;
}
/* === End Windows XP Start Button Override === */
</code></pre>

</div>



<h3>
 
 
 3. Clear Any gsettings Overrides
</h3>

Ensure no system-wide settings are interfering: 


<div class="highlight js-code-highlight">
<pre class="highlight shell"><code>gsettings set com.linuxmint.mintmenu applet-icon ''
gsettings set org.cinnamon app-menu-icon-name ''
</code></pre>

</div>



<h3>
 
 
 4. Reload Cinnamon
</h3>

Press <code>Alt+F2</code>, type <code>r</code>, and press Enter to reload Cinnamon.

<h2>
 
 
 Key Lessons Learned
</h2>

<h3>
 
 
 1. Keep It Simple
</h3>

The simplest solution is often the best. A relative file path beat complex base64 encoding.

<h3>
 
 
 2. Avoid System-Wide Settings
</h3>

Using <code>gsettings</code> for theme customization can have unintended consequences. CSS-only solutions are safer and more maintainable.

<h3>
 
 
 3. The !important Flag Matters
</h3>

Cinnamon's CSS has high specificity. Using <code>!important</code> on every property ensures your styles take precedence.

<h3>
 
 
 4. Relative Paths Work
</h3>

CSS file paths are relative to the CSS file location:

<ul>
<li>CSS at: <code>~/.themes/Mint-XP/cinnamon/cinnamon.css</code>
</li>
<li>Image at: <code>~/.themes/Mint-XP/cinnamon/assets/start-button.png</code>
</li>
<li>Reference as: <code>url("assets/start-button.png")</code>
</li>
</ul>

<h3>
 
 
 5. Test Incrementally
</h3>

When I tested with a solid color background (<code>background-color: red !important;</code>), I confirmed the CSS selector was working. This proved the issue was with the image reference, not the targeting.

<h2>
 
 
 Troubleshooting
</h2>

If your button doesn't appear:

<ol>
<li>
Verify the image exists:
</li>
</ol>

<div class="highlight js-code-highlight">
<pre class="highlight shell"><code> ls -lh ~/.themes/YOUR-THEME/cinnamon/assets/start-button.png
</code></pre>

</div>



<ol>
<li>
Check file permissions:
</li>
</ol>

<div class="highlight js-code-highlight">
<pre class="highlight shell"><code> chmod 644 ~/.themes/YOUR-THEME/cinnamon/assets/start-button.png
</code></pre>

</div>



<ol>
<li>
Test with a solid color first:
Replace the background-image line temporarily with:
</li>
</ol>

<div class="highlight js-code-highlight">
<pre class="highlight css"><code> background-color: red !important;
</code></pre>

</div>



If you see a red box, your selector works and the issue is the image path.

<ol>
<li>
Check for typos in the path:

<ul>
<li>File name is case-sensitive</li>
<li>Path is relative to the CSS file</li>
<li>No leading slash for relative paths</li>
</ul>
</li>
<li>Clear gsettings: 
</li>
</ol>

<div class="highlight js-code-highlight">
<pre class="highlight shell"><code> gsettings reset com.linuxmint.mintmenu applet-icon
 gsettings reset org.cinnamon app-menu-icon-name
</code></pre>

</div>



<h2>
 
 
 Why This Matters
</h2>

Custom desktop theming is about more than aesthetics - it's about making your workspace yours. But when solutions are fragile or create side effects, they undermine the experience. This CSS-only approach is:

<ul>
<li>
Clean: No system-wide settings pollution</li>
<li>
Maintainable: Easy to modify or disable</li>
<li>
Portable: Works across Cinnamon updates</li>
<li>
Predictable: No side effects in other UI elements</li>
</ul>

<h2>
 
 
 Conclusion
</h2>

After 5 days of trying complex solutions, the answer was simple: use a relative file path in CSS. Sometimes the best solution is the one that doesn't try to be clever.

If you're customizing Cinnamon themes, remember: CSS file paths, not gsettings, and definitely not base64.




System Info:

<ul>
<li>Linux Mint (Cinnamon Desktop Environment)</li>
<li>Theme: Mint-XP (custom modification)</li>
<li>Image: 122×40 PNG, ~12KB</li>
</ul>

Files Modified:

<ul>
<li>
<code>~/.themes/Mint-XP/cinnamon/cinnamon.css</code> (CSS styling)</li>
<li>
<code>~/.themes/Mint-XP/cinnamon/assets/start-button.png</code> (image asset)</li>
</ul>

Feel free to adapt this solution for your own custom panel buttons!

تقدم هذه المقالة دليلًا خطوة بخطوة حول كيفية تخصيص صورة زر البدء في لينكس مينت، مما يعزز تجربة المستخدم ويخصص بيئة سطح المكتب. تعتبر التخصيصات مهمة لأنها تتيح للمستخدمين التعبير عن فرديتهم وتحسين قابلية الاستخدام، مما يجعل تجربتهم الحاسوبية أكثر متعة وتناسبًا مع تفضيلاتهم.

Este artículo ofrece una guía paso a paso sobre cómo personalizar la imagen del botón de inicio en Linux Mint, mejorando la experiencia del usuario y personalizando el entorno de escritorio. La personalización es importante ya que permite a los usuarios expresar su individualidad y mejorar la usabilidad, haciendo que su experiencia informática sea más agradable y adaptada a sus preferencias.

Cet article propose un guide étape par étape sur la façon de personnaliser l'image du bouton de démarrage dans Linux Mint, améliorant ainsi l'expérience utilisateur et personnalisant l'environnement de bureau. La personnalisation est importante car elle permet aux utilisateurs d'exprimer leur individualité et d'améliorer l'utilisabilité, rendant leur expérience informatique plus agréable et adaptée à leurs préférences.

This article provides a step-by-step guide on how to customize the start button image in Linux Mint, enhancing the user experience and personalizing the desktop environment. Customization is important as it allows users to express their individuality and improve usability, making their computing experience more enjoyable and tailored to their preferences.

How-to use a Custom Start Button Image in Linux Mint

<A HREF="https://www.theinformation.com/articles/openais-data-center-partner-nears-120-million-stock-sale-employees"><IMG VSPACE="4" HSPACE="4" BORDER="0" ALIGN="RIGHT" SRC="http://www.techmeme.com/251105/i44.jpg"></A>
<A HREF="http://www.techmeme.com/251105/p44#a251105p44" TITLE="Techmeme permalink"><IMG WIDTH=11 HEIGHT=12 SRC="http://www.techmeme.com/img/pml.png" STYLE="border:none;padding:0;margin:0;"></A> <A HREF="https://www.theinformation.com/">The Information</A>: 
<A HREF="https://www.theinformation.com/articles/openais-data-center-partner-nears-120-million-stock-sale-employees">Sources: data center startup Crusoe is arranging an employee share sale involving ~$120M worth of shares that values it at ~$13B, up from $10B+ just weeks ago</A>&nbsp; &mdash;&nbsp; Crusoe, a startup developing a large data center in Texas for Oracle and OpenAI, is arranging an employee share sale that values &hellip;

تعتبر شركة كروسو، وهي شركة ناشئة في مجال مراكز البيانات، محط الأنظار مع خططها لبيع أسهم للموظفين بقيمة تقارب 120 مليون دولار. لا يعزز هذا التحرك فقط تقييم الشركة إلى حوالي 13 مليار دولار، بعد أن كان أكثر من 10 مليارات دولار قبل أسابيع قليلة، بل يعكس أيضًا ثقة متزايدة في قطاع التكنولوجيا. تشير مثل هذه المناورات المالية الكبيرة إلى إيمان قوي بإمكانات كروسو المستقبلية وقد تلهم شركات ناشئة أخرى للنظر في استراتيجيات مماثلة للنمو.

Crusoe, una startup de centros de datos, está en el centro de atención con planes para una venta de acciones a empleados valorada en aproximadamente 120 millones de dólares. Este movimiento no solo eleva la valoración de la empresa a alrededor de 13 mil millones de dólares, desde más de 10 mil millones hace solo unas semanas, sino que también refleja una creciente confianza en el sector tecnológico. Tales maniobras financieras significativas indican una fuerte creencia en el potencial futuro de Crusoe y podrían inspirar a otras startups a considerar estrategias similares para su crecimiento.

Crusoe, une startup de centres de données, fait parler d'elle avec des projets de vente d'actions aux employés d'une valeur d'environ 120 millions de dollars. Ce mouvement non seulement augmente la valorisation de l'entreprise à environ 13 milliards de dollars, contre plus de 10 milliards de dollars il y a quelques semaines, mais reflète également une confiance croissante dans le secteur technologique. De telles manœuvres financières significatives indiquent une forte croyance dans le potentiel futur de Crusoe et pourraient inspirer d'autres startups à envisager des stratégies similaires pour croître.

Crusoe, a data center startup, is making headlines with plans for an employee share sale valued at approximately $120 million. This move not only boosts the company's valuation to around $13 billion, up from over $10 billion just weeks ago, but also reflects growing confidence in the tech sector. Such significant financial maneuvers indicate a strong belief in Crusoe's future potential and could inspire other startups to consider similar strategies for growth.

Sources: data center startup Crusoe is arranging an employee share sale involving ~$120M worth of shares that values it at ~$13B, up from $10B+ just weeks ago (The Information)

تلقى تطبيق شازام على نظام iOS تحديثًا مثيرًا بتصميم أنيق من زجاج سائل، مما يعزز واجهة المستخدم والتجربة العامة. لا يجعل هذا التحديث التطبيق جذابًا بصريًا فحسب، بل يحسن أيضًا من وظيفته، مما يسهل على المستخدمين التعرف على الأغاني واكتشاف موسيقى جديدة. تعتبر مثل هذه التحديثات ضرورية للحفاظ على التطبيقات ذات صلة وجذابة في سوق تنافسي.

Shazam para iOS ha recibido una emocionante actualización con un elegante diseño de Liquid Glass, mejorando su interfaz de usuario y la experiencia general. Esta renovación no solo hace que la aplicación sea visualmente atractiva, sino que también mejora su funcionalidad, facilitando a los usuarios la identificación de canciones y el descubrimiento de nueva música. Estas actualizaciones son cruciales para mantener las aplicaciones relevantes y atractivas en un mercado competitivo.

Shazam pour iOS a reçu une mise à jour passionnante avec un design élégant en Liquid Glass, améliorant son interface utilisateur et son expérience globale. Ce relooking rend non seulement l'application visuellement attrayante, mais améliore également sa fonctionnalité, facilitant ainsi l'identification des chansons et la découverte de nouvelles musiques. De telles mises à jour sont essentielles pour maintenir les applications pertinentes et engageantes sur un marché concurrentiel.

Shazam for iOS has received an exciting update with a sleek Liquid Glass design, enhancing its user interface and overall experience. This makeover not only makes the app visually appealing but also improves functionality, making it easier for users to identify songs and discover new music. Such updates are crucial in keeping apps relevant and engaging in a competitive market.

Shazam for iOS just got a Liquid Glass makeover

<a href="https://www.techspot.com/news/110143-us-vibe-coding-startups-soar-value-but-their.html" target="_blank"><img src="https://www.techspot.com/images2/news/ts3_thumbs/2025/11/2025-11-05-ts3_thumbs-bbe.jpg" width="800" height="560" style="padding: 15px 0" title="US &quot;vibe coding&quot; startups soar in value, but their AI may be powered by Chinese models" /></a> Vibe coding is becoming one of the most popular use cases for generative services and AI models, driving up the valuations of several US companies. However, some of these models originate from China, which has raised concerns among some observers. <a href="https://www.techspot.com/news/110143-us-vibe-coding-startups-soar-value-but-their.html">Read Entire Article</a>

يكتسب البرمجة على أساس الإحساس شعبية كأحد التطبيقات للخدمات التوليدية ونماذج الذكاء الاصطناعي، مما يؤدي إلى ارتفاع قيم الشركات الناشئة في هذا المجال. تسلط هذه الظاهرة الضوء على الاهتمام المتزايد بأساليب البرمجة المبتكرة التي تستفيد من تكنولوجيا الذكاء الاصطناعي، على الرغم من أنها تثير تساؤلات حول الاعتماد على النماذج الصينية لهذه التطورات. مع تطور السوق، سيكون من الضروري فهم تداعيات هذا الاعتماد للمستثمرين والمطورين على حد سواء.

El vibe coding está ganando popularidad como una aplicación de servicios generativos y modelos de IA, lo que está impulsando un aumento en las valoraciones de las startups en este ámbito. Esta tendencia destaca el creciente interés en métodos de codificación innovadores que aprovechan la tecnología de IA, aunque plantea preguntas sobre la dependencia de modelos chinos para estos avances. A medida que el mercado evoluciona, comprender las implicaciones de esta dependencia será crucial para inversores y desarrolladores.

Le vibe coding gagne en popularité en tant qu'application des services génératifs et des modèles d'IA, entraînant une augmentation des valorisations des startups dans ce domaine. Cette tendance souligne l'intérêt croissant pour des méthodes de codage innovantes qui exploitent la technologie de l'IA, bien qu'elle soulève des questions sur la dépendance aux modèles chinois pour ces avancées. À mesure que le marché évolue, comprendre les implications de cette dépendance sera crucial pour les investisseurs et les développeurs.

Vibe coding is gaining traction as a popular application of generative AI, leading to a surge in the valuations of startups in this space. This trend highlights the growing interest in innovative coding methods that leverage AI technology, although it raises questions about the reliance on Chinese models for these advancements. As the market evolves, understanding the implications of this reliance will be crucial for investors and developers alike.

US "vibe coding" startups soar in value, but their AI may be powered by Chinese models

arXiv:2505.23433v2 Announce Type: replace 
Abstract: The reasoning capabilities of large language models (LLMs) have advanced rapidly, particularly following the release of DeepSeek R1, which has inspired a surge of research into data quality and reinforcement learning (RL) algorithms. Despite the pivotal role diversity plays in RL, its influence on LLM reasoning remains largely underexplored. To bridge this gap, this work presents a systematic investigation into the impact of diversity in RL-based training for LLM reasoning, and proposes a novel diversity-aware policy optimization method. Across evaluations on 12 LLMs, we observe a strong positive correlation between the solution diversity and Potential at k (a novel metric quantifying an LLM's reasoning potential) in high-performing models. This finding motivates our method to explicitly promote diversity during RL training. Specifically, we design a token-level diversity and reformulate it into a practical objective, then we selectively apply it to positive samples. Integrated into the R1-zero training framework, our method achieves a 3.5 percent average improvement across four mathematical reasoning benchmarks, while generating more diverse and robust solutions.

تسلط دراسة حديثة الضوء على أهمية التنوع في قدرات التفكير لنماذج اللغة الكبيرة (LLMs)، خاصة في سياق التعلم المعزز (RL). بعد إصدار DeepSeek R1، يركز الباحثون بشكل متزايد على كيفية تحسين جودة البيانات والتنوع لأداء LLM. هذه الدراسة مهمة لأنها تعالج فجوة كبيرة في فهم كيفية تأثير البيانات المتنوعة على التفكير في LLM، مما قد يؤدي إلى أنظمة ذكاء اصطناعي أكثر قوة وفعالية.

Un estudio reciente destaca la importancia de la diversidad en las capacidades de razonamiento de los grandes modelos de lenguaje (LLMs), especialmente en el contexto del aprendizaje por refuerzo (RL). Tras el lanzamiento de DeepSeek R1, los investigadores están prestando cada vez más atención a cómo la calidad de los datos y la diversidad pueden mejorar el rendimiento de los LLM. Esta investigación es crucial, ya que aborda una brecha significativa en la comprensión de cómo los datos diversos influyen en el razonamiento de los LLM, lo que podría llevar a sistemas de IA más robustos y efectivos.

Une étude récente souligne l'importance de la diversité dans les capacités de raisonnement des grands modèles de langage (LLMs), en particulier dans le contexte de l'apprentissage par renforcement (RL). Suite à la sortie de DeepSeek R1, les chercheurs se concentrent de plus en plus sur la manière dont la qualité des données et la diversité peuvent améliorer les performances des LLM. Cette enquête est cruciale car elle aborde un écart significatif dans la compréhension de l'influence des données diversifiées sur le raisonnement des LLM, ce qui pourrait conduire à des systèmes d'IA plus robustes et efficaces.

A recent study highlights the importance of diversity in the reasoning capabilities of large language models (LLMs), particularly in the context of reinforcement learning (RL). Following the release of DeepSeek R1, researchers are increasingly focusing on how data quality and diversity can enhance LLM performance. This investigation is crucial as it addresses a significant gap in understanding how diverse data influences LLM reasoning, potentially leading to more robust and effective AI systems.

Diversity-Aware Policy Optimization for Large Language Model Reasoning

arXiv:2511.01267v1 Announce Type: new 
Abstract: Data quality is critical to Intelligent Transportation Systems (ITS), as complete and accurate traffic data underpin reliable decision-making in traffic control and management. Recent advances in low-rank tensor recovery algorithms have shown strong potential in capturing the inherent structure of high-dimensional traffic data and restoring degraded observations. However, traditional batch-based methods demand substantial computational and storage resources, which limits their scalability in the face of continuously expanding traffic data volumes. Moreover, recent online tensor recovery methods often suffer from severe performance degradation in complex real-world scenarios due to their insufficient exploitation of the intrinsic structural properties of traffic data. To address these challenges, we reformulate the traffic data recovery problem within a streaming framework, and propose a novel online robust tensor recovery algorithm that simultaneously leverages both the global spatio-temporal correlations and local consistency of traffic data, achieving high recovery accuracy and significantly improved computational efficiency in large-scale scenarios. Our method is capable of simultaneously handling missing and anomalous values in traffic data, and demonstrates strong adaptability across diverse missing patterns. Experimental results on three real-world traffic datasets demonstrate that the proposed approach achieves high recovery accuracy while significantly improving computational efficiency by up to three orders of magnitude compared to state-of-the-art batch-based methods. These findings highlight the potential of the proposed approach as a scalable and effective solution for traffic data quality enhancement in ITS.

تم تقديم نهج جديد لملء بيانات المرور، مع التركيز على أهمية جودة البيانات في أنظمة النقل الذكية. تستخدم هذه الطريقة خوارزميات متقدمة لاستعادة التنسور منخفض الرتبة لاستعادة بيانات المرور المتدهورة بشكل فعال، مما يعزز اتخاذ القرار في إدارة المرور.

Se ha introducido un nuevo enfoque para la imputación de datos de tráfico, centrándose en la importancia de la calidad de los datos en los Sistemas de Transporte Inteligente. Este método aprovecha algoritmos avanzados de recuperación de tensores de bajo rango para restaurar eficazmente los datos de tráfico degradados, mejorando la toma de decisiones en la gestión del tráfico.

Une nouvelle approche pour l'imputation des données de circulation a été introduite, mettant l'accent sur l'importance de la qualité des données dans les systèmes de transport intelligents. Cette méthode utilise des algorithmes avancés de récupération de tenseurs à faible rang pour restaurer efficacement les données de circulation dégradées, améliorant ainsi la prise de décision dans la gestion du trafic.

A new approach to traffic data imputation has been introduced, focusing on the importance of data quality in Intelligent Transportation Systems. This method leverages advanced low-rank tensor recovery algorithms to effectively restore degraded traffic data, enhancing decision-making in traffic management.

A Spatio-Temporal Online Robust Tensor Recovery Approach for Streaming Traffic Data Imputation

Salesforce's new 3B model unifies text-to-image generation and editing in a single, open-source architecture.
The post <a href="https://bdtechtalks.com/2025/11/03/blip3o-next-image-generation-model/">BLIP3o-NEXT: A new challenger in open-source AI image generation</a> first appeared on <a href="https://bdtechtalks.com">TechTalks</a>.

أطلقت Salesforce نموذج BLIP3o-NEXT، وهو نموذج مبتكر يتكون من 3 مليارات يجمع بين توليد الصور من النص وتحريرها في منصة مفتوحة المصدر واحدة. هذه الابتكار مهم لأنه يتيح الوصول إلى أدوات الذكاء الاصطناعي المتقدمة، مما يسمح للمبدعين والمطورين بالاستفادة من قدرات توليد الصور القوية دون قيود البرمجيات المملوكة. هذه الخطوة قد تلهم المزيد من التقدم في هذا المجال وتعزز بيئة تعاونية لتطوير الذكاء الاصطناعي.

Salesforce ha lanzado BLIP3o-NEXT, un modelo innovador de 3 mil millones que combina la generación y edición de imágenes a partir de texto en una única plataforma de código abierto. Esta innovación es significativa ya que democratiza el acceso a herramientas avanzadas de IA, permitiendo a creadores y desarrolladores aprovechar potentes capacidades de generación de imágenes sin las limitaciones del software propietario. Este movimiento podría inspirar más avances en el campo y fomentar un entorno colaborativo para el desarrollo de la IA.

Salesforce a lancé BLIP3o-NEXT, un modèle révolutionnaire de 3 milliards qui combine la génération et l'édition d'images à partir de texte dans une seule plateforme open-source. Cette innovation est importante car elle démocratise l'accès à des outils d'IA avancés, permettant aux créateurs et aux développeurs d'exploiter des capacités puissantes de génération d'images sans les contraintes des logiciels propriétaires. Ce mouvement pourrait inspirer d'autres avancées dans le domaine et favoriser un environnement collaboratif pour le développement de l'IA.

Salesforce has launched BLIP3o-NEXT, a groundbreaking 3B model that combines text-to-image generation and editing into a single open-source platform. This innovation is significant as it democratizes access to advanced AI tools, allowing creators and developers to harness powerful image generation capabilities without the constraints of proprietary software. The move could inspire further advancements in the field and foster a collaborative environment for AI development.

BLIP3o-NEXT: A new challenger in open-source AI image generation

How co-designing a language model with its environment created a specialized AI 4x faster than its frontier-level peers.
The post <a href="https://bdtechtalks.com/2025/10/31/cursor-composer-coding-llm/">Why Cursor’s custom coding LLM challenges AI giants</a> first appeared on <a href="https://bdtechtalks.com">TechTalks</a>.

Cursor's innovative approach to co-designing a language model with its environment has resulted in an AI that is four times faster than its competitors. This breakthrough not only showcases the potential of specialized AI but also poses a significant challenge to established giants in the industry. As technology continues to evolve, Cursor's advancements could redefine coding efficiency and set new standards for AI development.

The generative AI loop: Why more use leads to better decision-making

The generative AI loop: Why more use leads to better decision-making

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