في 12 نوفمبر 2025، رفعت جوجل دعوى قضائية ضد مجموعة تدير عملية احتيال ضخمة عبر الرسائل النصية القصيرة. تسلط هذه الخطوة القانونية الضوء على المعركة المستمرة ضد الأنشطة الاحتيالية في الفضاء الرقمي، حيث أصبحت عمليات الاحتيال عبر الرسائل النصية أكثر انتشارًا، مستهدفة المستخدمين غير المشتبه بهم. من خلال اتخاذ هذه الخطوة، تهدف جوجل إلى حماية المستهلكين والحفاظ على نزاهة منصاتها التواصلية. قد تؤدي نتيجة هذه الدعوى إلى وضع سابقة حول كيفية تعامل شركات التكنولوجيا مع عمليات الاحتيال المماثلة في المستقبل.

El 12 de noviembre de 2025, Google presentó una demanda contra un grupo que opera una estafa masiva por SMS. Esta acción legal destaca la lucha continua contra las actividades fraudulentas en el espacio digital, ya que las estafas por SMS se han vuelto cada vez más comunes, dirigiéndose a usuarios desprevenidos. Al tomar esta medida, Google busca proteger a los consumidores y mantener la integridad de sus plataformas de comunicación. El resultado de esta demanda podría sentar un precedente sobre cómo las empresas tecnológicas abordan estafas similares en el futuro.

Le 12 novembre 2025, Google a déposé une plainte contre un groupe opérant une vaste escroquerie par SMS. Cette action en justice met en lumière la lutte continue contre les activités frauduleuses dans le domaine numérique, les escroqueries par SMS devenant de plus en plus courantes et ciblant des utilisateurs sans méfiance. En prenant cette mesure, Google vise à protéger les consommateurs et à maintenir l'intégrité de ses plateformes de communication. L'issue de ce procès pourrait établir un précédent sur la manière dont les entreprises technologiques abordent des escroqueries similaires à l'avenir.

On November 12, 2025, Google filed a lawsuit against a group operating a large-scale SMS scam. This legal action highlights the ongoing battle against fraudulent activities in the digital space, as SMS scams have become increasingly prevalent, targeting unsuspecting users. By taking this step, Google aims to protect consumers and uphold the integrity of its communication platforms. The outcome of this lawsuit could set a precedent for how tech companies address similar scams in the future.

Google sues group running massive SMS scam operation

Guardio is leveraging its experience building browser extensions and apps that scan for malicious and phishing sites to build a tool that looks for artifacts in code and websites made with vibe coding tools.

نجحت شركة Guardio الناشئة في مجال الأمن السيبراني في تأمين 80 مليون دولار من التمويل من ION Crossover Partners. تشتهر الشركة بخبرتها في تطوير إضافات المتصفح والتطبيقات التي تكشف عن المواقع الضارة والمحتالة. تخطط Guardio لاستخدام هذا التمويل لإنشاء أداة تبحث عن الآثار في الشيفرة والمواقع التي تم إنشاؤها باستخدام أدوات البرمجة vibe.

La startup de seguridad Guardio ha asegurado 80 millones de dólares en financiamiento de ION Crossover Partners. La empresa es conocida por su experiencia en el desarrollo de extensiones de navegador y aplicaciones que detectan sitios maliciosos y de phishing. Guardio planea utilizar estos fondos para crear una herramienta que identifique artefactos en el código y sitios web construidos con herramientas de codificación vibe.

La startup de sécurité Guardio a obtenu 80 millions de dollars de financement de la part d'ION Crossover Partners. Connue pour son expertise dans le développement d'extensions de navigateur et d'applications détectant les sites malveillants et de phishing, Guardio prévoit d'utiliser ce financement pour créer un outil identifiant les artefacts dans le code et les sites web construits avec des outils de codage vibe.

Security startup Guardio has secured $80 million in funding from ION Crossover Partners. The company is known for its expertise in developing browser extensions and applications that detect malicious and phishing websites. Guardio plans to utilize this funding to create a tool that identifies artifacts in code and websites built with vibe coding tools.

Security startup Guardio nabs $80M from ION Crossover Partners

A new artificial intelligence startup founded by the creators of <a href="https://opencv.org/">the world&#x27;s most widely used computer vision library</a> has emerged from stealth with technology that generates realistic human-centric videos up to five minutes long — a dramatic leap beyond the capabilities of rivals including OpenAI&#x27;s <a href="https://openai.com/sora/">Sora</a> and Google&#x27;s <a href="https://deepmind.google/models/veo/">Veo</a>.<a href="https://craftstory.com/">CraftStory</a>, which launched Tuesday with $2 million in funding, is introducing Model 2.0, a video generation system that addresses one of the most significant limitations plaguing the nascent AI video industry: duration. While OpenAI&#x27;s <a href="https://openai.com/index/sora-2/">Sora 2</a> tops out at 25 seconds and most competing models generate clips of 10 seconds or less, CraftStory&#x27;s system can produce continuous, coherent video performances that run as long as a typical YouTube tutorial or product demonstration.The breakthrough could unlock substantial commercial value for enterprises struggling to scale video production for training, marketing, and customer education — markets where brief AI-generated clips have proven inadequate despite their visual polish.&quot;If you really try to create a video with one of these video generation systems, you find that a lot of the times you want to implement a certain creative vision, and regardless of how detailed the instructions are, the systems basically ignore a part of your instructions,&quot; said Victor Erukhimov, CraftStory&#x27;s founder and CEO, in an exclusive interview with VentureBeat. &quot;We developed a system that can generate videos basically as long as you need them.&quot;<h3>How parallel processing solves the long-form video problem</h3>CraftStory&#x27;s advance rests on what the company describes as a parallelized diffusion architecture — a fundamentally different approach to how AI models generate video compared to the sequential methods employed by most competitors.Traditional video generation models work by running diffusion algorithms on increasingly large three-dimensional volumes where time represents the third axis. To generate a longer video, these models require proportionally larger networks, more training data, and significantly more computational resources.<a href="https://craftstory.com/">CraftStory</a> instead runs multiple smaller diffusion algorithms simultaneously across the entire duration of the video, with bidirectional constraints connecting them. &quot;The latter part of the video can influence the former part of the video too,&quot; Erukhimov explained. &quot;And this is pretty important, because if you do it one by one, then an artifact that appears in the first part propagates to the second one, and then it accumulates.&quot;Rather than generating eight seconds and then stitching on additional segments, CraftStory&#x27;s system processes all five minutes concurrently through interconnected diffusion processes.Crucially, CraftStory trained its model on proprietary footage rather than relying solely on internet-scraped videos. The company hired studios to shoot actors using high-frame-rate camera systems that capture crisp detail even in fast-moving elements like fingers — avoiding the motion blur inherent in standard 30-frames-per-second YouTube clips.&quot;What we showed is that you don&#x27;t need a lot of data and you don&#x27;t need a lot of training budget to create high quality videos,&quot; Erukhimov said. &quot;You just need high quality data.&quot;Model 2.0 currently operates as a video-to-video system: users upload a still image to animate and a &quot;driving video&quot; containing a person whose movements the AI will replicate. CraftStory provides preset driving videos shot with professional actors, who receive revenue shares when their motion data is used, or users can upload their own footage.The system generates 30-second clips at low resolution in approximately 15 minutes. An advanced lip-sync system synchronizes mouth movements to scripts or audio tracks, while gesture alignment algorithms ensure body language matches speech rhythm and emotional tone.<h3>Fighting a war chest battle with $2 million against billions</h3>CraftStory&#x27;s funding comes almost entirely from <a href="https://finance.yahoo.com/news/2-25-billion-exit-taught-130300997.html">Andrew Filev</a>, who sold his project management software company Wrike to Citrix for <a href="https://techcrunch.com/2021/01/19/citrix-is-acquiring-wrike-from-vista-for-2-25b/">$2.25 billion</a> in 2021 and now runs <a href="https://zencoder.ai/">Zencoder</a>, an AI coding company. The modest raise stands in stark contrast to the billions flowing into competing efforts — OpenAI has <a href="https://www.reuters.com/technology/artificial-intelligence/openai-closes-66-billion-funding-haul-valuation-157-billion-with-investment-2024-10-02/">raised over $6 billion</a> in its latest funding round alone.Erukhimov pushed back on the notion that massive capital is prerequisite for success. &quot;I don&#x27;t necessarily buy the thesis that compute is the path to success,&quot; he said. &quot;It definitely helps if you have compute. But if you raise a billion dollars on a PowerPoint, in the end, no one is happy, neither the founders nor the investors.&quot;Filev defended the David-versus-Goliath approach. &quot;When you invest in startups, you&#x27;re fundamentally betting on people,&quot; he said in an interview with VentureBeat. &quot;To paraphrase Margaret Mead: never underestimate what a small group of thoughtful, committed engineers and scientists can build.&quot;He argued that CraftStory benefits from a focused strategy. &quot;The big labs are in an arms race to build general-purpose video foundation models,&quot; Filev said. &quot;CraftStory is riding that wave and going very deep into a specific format: long-form, engaging, human-centric video.&quot;<h3>Why computer vision expertise matters in generative AI video</h3>Erukhimov&#x27;s credibility stems from his deep roots in computer vision rather than the transformer architectures that have dominated recent AI advances. He was an early contributor to <a href="https://opencv.org/">OpenCV</a> — the Open Source Computer Vision Library that has become the de facto standard for computer vision applications, with over <a href="https://github.com/opencv/opencv">84,000 stars on GitHub</a>.When Intel reduced its support for OpenCV in the mid-2000s, Erukhimov co-founded Itseez with the explicit goal of maintaining and advancing the library. The company expanded OpenCV significantly and pivoted toward automotive safety systems before Intel acquired it in 2016.Filev said this background is precisely what makes Erukhimov well-positioned for video generation. &quot;What people sometimes miss is that generative AI video isn&#x27;t just about the generative part. It&#x27;s about understanding motion, facial dynamics, temporal coherence, and how humans actually move,&quot; Filev said. &quot;Victor has spent his career mastering exactly those problems.&quot;<h3>Enterprise focus targets training videos and product demos</h3>While much of the public excitement around AI video generation has centered on creative tools for consumers, CraftStory is pursuing a decidedly enterprise-focused strategy.&quot;We are definitely thinking about B2B more than consumer,&quot; Erukhimov said. &quot;We&#x27;re thinking about companies, specifically software companies, being able to make cool training videos and product videos and launch videos.&quot;The logic is straightforward: corporate training, product tutorials, and customer education videos often run several minutes and require consistent quality throughout. A 10-second AI clip cannot effectively demonstrate how to use enterprise software or explain a complex product feature.&quot;If you need a longer-form video, then you should go with us,&quot; Erukhimov said. &quot;We can create up to five minutes, consistent video, high quality.&quot;Filev echoed this assessment. &quot;One huge gap in this market is the lack of models that can generate consistent videos over longer sequences — and that&#x27;s extremely important for real-world use,&quot; he said. &quot;If you&#x27;re creating a commercial for your company, a 10-second video, no matter how good it looks, just isn&#x27;t enough. You need 30 seconds, you need two minutes — you need more.&quot;The company anticipates cost savings for customers. Filev suggested that &quot;a small business owner could create content in minutes that previously would have cost $20,000 and taken two months to produce.&quot;CraftStory is also courting creative agencies that produce video content for corporate clients, with the value proposition centered on cost and speed: agencies can record an actor on camera and transform that footage into a finished AI video, rather than managing expensive multi-day shoots.The next major development on CraftStory&#x27;s roadmap is a text-to-video model that would allow users to generate long-form content directly from scripts. The team is also developing support for moving-camera scenarios, including the popular &quot;walk-and-talk&quot; format common in high-end advertising.<h3>Where CraftStory fits in a fragmented competitive landscape</h3>CraftStory enters a crowded and rapidly evolving market. OpenAI&#x27;s <a href="https://openai.com/index/sora-2/">Sora 2</a>, while not yet publicly available, has generated significant buzz. Google&#x27;s <a href="https://deepmind.google/models/veo/">Veo models</a> are advancing quickly. <a href="https://runwayml.com/">Runway</a>, <a href="https://pika.art/login">Pika</a>, and <a href="https://stability.ai/">Stability AI </a>all offer video generation tools with different capabilities.Erukhimov acknowledged the competitive pressure but emphasized that CraftStory serves a distinct niche focused on human-centric videos. He positioned rapid innovation and market capture as the company&#x27;s primary strategy rather than relying on technical moats.Filev sees the market fragmenting into distinct layers, with large tech companies serving as &quot;API providers of powerful, general-purpose generation models&quot; while specialized players like CraftStory focus on specific use cases. &quot;If the big players are building the engines, CraftStory is building the production studio and assembly line on top,&quot; he said.Model 2.0 is available now at app.craftstory.com/model-2.0, with the company offering early access to users and enterprises interested in testing the technology. Whether a lightly-funded startup can capture meaningful market share against deep-pocketed incumbents remains uncertain, but Erukhimov is characteristically confident about the opportunity ahead.&quot;AI-generated video will soon become the primary way companies communicate their stories,&quot; he said.

أطلقت CraftStory، وهي شركة ناشئة جديدة في مجال الذكاء الاصطناعي أسسها مبتكرو OpenCV، نظامًا لتوليد الفيديو قادرًا على إنتاج مقاطع فيديو واقعية تركز على الإنسان تصل مدتها إلى خمس دقائق. تتجاوز هذه التكنولوجيا بشكل كبير قدرات المنافسين مثل Sora من OpenAI وVeo من Google، الذين لديهم حدود زمنية أقصر. حصلت الشركة الناشئة على تمويل بقيمة مليوني دولار لدعم نهجها المبتكر في صناعة الفيديو بالذكاء الاصطناعي.

CraftStory, una nueva startup de IA fundada por los creadores de OpenCV, ha lanzado un sistema de generación de video capaz de producir videos realistas centrados en humanos de hasta cinco minutos de duración. Esta tecnología supera significativamente a competidores como Sora de OpenAI y Veo de Google, que tienen límites de duración más cortos. La startup ha asegurado 2 millones de dólares en financiamiento para apoyar su enfoque innovador en la industria de video de IA.

CraftStory, une nouvelle startup d'IA fondée par les créateurs d'OpenCV, a lancé un système de génération vidéo capable de produire des vidéos réalistes centrées sur l'humain d'une durée allant jusqu'à cinq minutes. Cette technologie surpasse considérablement les concurrents tels que Sora d'OpenAI et Veo de Google, qui ont des limites de durée plus courtes. La startup a sécurisé 2 millions de dollars de financement pour soutenir son approche innovante de l'industrie vidéo IA.

CraftStory, a new AI startup founded by the creators of OpenCV, has launched a video generation system capable of producing realistic human-centric videos up to five minutes long. This technology significantly outpaces competitors like OpenAI's Sora and Google's Veo, which have shorter duration limits. The startup has secured $2 million in funding to support its innovative approach to the AI video industry.

OpenCV founders launch AI video startup to take on OpenAI and Google

<a href="https://petapixel.com/2025/11/19/remote-cameras-may-have-captured-first-recorded-tool-use-by-a-wild-wolf/"><img width="1600" height="840" src="https://petapixel.com/assets/uploads/2025/11/wolve-tool-use.jpg" class="attachment-card-large size-card-large wp-post-image" alt="A wolf stands at the edge of a rocky shoreline, holding an orange and white fishing bobber in its mouth. A fishing net and additional gear are lying on the ground nearby. Rippling water is in the background." decoding="async" fetchpriority="high" /></a>Remote cameras have captured footage of wild wolves pulling crab traps out of the sea by their lines to eat the bait inside -- in the first evidence of possible tool use by the canines.
[<a href="https://petapixel.com/2025/11/19/remote-cameras-may-have-captured-first-recorded-tool-use-by-a-wild-wolf/">Read More</a>]

التقطت الكاميرات عن بُعد لقطات لذئاب برية تستخدم تقنية تتضمن سحب فخاخ السلطعون من البحر للوصول إلى الطعم داخلها. وهذا يمثل أول دليل موثق على استخدام محتمل للأدوات من قبل هذه الكلاب.

Cámaras remotas han grabado a lobos salvajes utilizando una técnica que consiste en sacar trampas de cangrejos del mar para acceder al cebo en su interior. Esto marca la primera evidencia documentada de un posible uso de herramientas por parte de estos caninos.

Des caméras à distance ont enregistré des loups sauvages utilisant une technique qui consiste à tirer des pièges à crabes de la mer pour accéder à l'appât à l'intérieur. Cela marque la première preuve documentée d'un potentiel usage d'outils par ces canidés.

Remote cameras have recorded wild wolves using a technique that involves pulling crab traps from the sea to access the bait inside. This marks the first documented evidence of potential tool use by these canines.

Remote Cameras May Have Captured First Recorded Tool Use by a Wild Wolf

The AI startup Firebird Inc. has received US government approval to export Nvidia Corp. chips to Armenia for a supercomputer project in the country, part of a global push to expand artificial intelligence infrastructure.

حصلت شركة Firebird Inc. الناشئة في مجال الذكاء الاصطناعي على موافقة الحكومة الأمريكية لتصدير شرائح Nvidia Corp. إلى أرمينيا، مما يسهل إنشاء مشروع حاسوب فائق في البلاد. تأتي هذه المبادرة كجزء من جهد عالمي أوسع لتعزيز بنية الذكاء الاصطناعي التحتية.

La startup de IA Firebird Inc. ha recibido la aprobación del gobierno de EE. UU. para exportar chips de Nvidia Corp. a Armenia, facilitando el establecimiento de un proyecto de supercomputadora en el país. Esta iniciativa forma parte de un esfuerzo global más amplio para mejorar la infraestructura de inteligencia artificial.

La startup d'IA Firebird Inc. a obtenu l'approbation du gouvernement américain pour exporter des puces de Nvidia Corp. en Arménie, facilitant ainsi l'établissement d'un projet de superordinateur dans le pays. Cette initiative s'inscrit dans un effort mondial plus large pour améliorer l'infrastructure de l'intelligence artificielle.

AI startup Firebird Inc. has obtained approval from the US government to export Nvidia Corp. chips to Armenia, facilitating the establishment of a supercomputer project in the country. This initiative is part of a broader global effort to enhance artificial intelligence infrastructure.

AI Startup Firebird Gets US Approval to Use Nvidia Chips in Armenian Data Center

Gesture of goodwill temporarily cools EU–China dispute that rattled global car supply chains.
The post <a href="https://www.techrepublic.com/article/news-netherlands-nexperia-chipmaker-control/">Netherlands Pauses Move to Seize Chinese-Owned Chipmaker Nexperia</a> appeared first on <a href="https://www.techrepublic.com">TechRepublic</a>.

أوقفت هولندا مؤقتًا جهودها للاستيلاء على شركة Nexperia لصناعة الرقائق المملوكة للصين، وهو إجراء يُعتبر بمثابة لفتة حسن نية تهدف إلى تهدئة التوترات في النزاع القائم بين الاتحاد الأوروبي والصين. تأتي هذه الخطوة وسط مخاوف بشأن تأثيرها على سلاسل الإمداد العالمية التي تأثرت بالفعل بنقص أشباه الموصلات.

Los Países Bajos han detenido temporalmente sus esfuerzos por apoderarse del fabricante de chips Nexperia, de propiedad china, un gesto que se considera como una buena voluntad para aliviar las tensiones en la disputa entre la UE y China. Esta decisión se produce en medio de preocupaciones sobre el impacto en las cadenas de suministro globales, que ya se han visto afectadas por la escasez de semiconductores.

Les Pays-Bas ont temporairement suspendu leurs efforts pour saisir le fabricant de puces Nexperia, détenu par des Chinois, un geste perçu comme une volonté d'apaiser les tensions dans le conflit en cours entre l'UE et la Chine. Cette décision intervient dans un contexte d'inquiétudes concernant l'impact sur les chaînes d'approvisionnement mondiales, déjà affectées par des pénuries de semi-conducteurs.

The Netherlands has temporarily halted its efforts to seize control of the Chinese-owned chipmaker Nexperia, a move seen as a gesture of goodwill aimed at easing tensions in the ongoing EU-China dispute. This decision comes amid concerns over the impact on global car supply chains, which have been affected by semiconductor shortages.

Netherlands Pauses Move to Seize Chinese-Owned Chipmaker Nexperia

استقال لاري سامرز من مجلس إدارة OpenAI، كما أفاد نيويورك تايمز. تأتي استقالته بعد التدقيق في اتصالاته السابقة مع المدان بجريمة الاعتداء الجنسي جيفري إبستين. تمثل هذه الخطوة انسحابًا كبيرًا لسامرز من الأدوار العامة وسط انتقادات متزايدة.

Larry Summers ha renunciado a la junta de OpenAI, según informa The New York Times. Su renuncia se produce tras el escrutinio sobre sus comunicaciones pasadas con el delincuente sexual condenado Jeffrey Epstein. Esta decisión marca un paso significativo en el retiro de Summers de los roles públicos en medio de una creciente crítica.

Larry Summers a démissionné du conseil d'administration d'OpenAI, selon le New York Times. Sa démission fait suite à un examen minutieux de ses communications passées avec le délinquant sexuel condamné Jeffrey Epstein. Cette décision marque un retrait significatif de Summers de ses rôles publics face à une critique croissante.

Larry Summers has resigned from the board of OpenAI, as reported by The New York Times. His resignation follows scrutiny over his past communications with convicted sex offender Jeffrey Epstein. This decision marks a significant step in Summers' withdrawal from public roles amid growing criticism.

Larry Summers Resigns From OpenAI’s Board

<h1>
 
 
 Sector HQ Weekly Digest - November 17, 2025
</h1>

Who's shipping vs who's just talking? Here's this week's AI industry intelligence.

<h2>
 
 
 🏆 Top 10 Companies
</h2>

<ol>
<li>
OpenAI - Score: 442385.7 | 343 events this week</li>
<li>
Anthropic - Score: 266113.1 | 51 events this week</li>
<li>
Amazon - Score: 135242.8 | 22 events this week</li>
<li>
Nvidia - Score: 128360.7 | 161 events this week</li>
<li>
Google - Score: 111135.8 | 125 events this week</li>
<li>
Microsoft - Score: 95559.7 | 99 events this week</li>
<li>
Meta - Score: 78015.6 | 61 events this week</li>
<li>
Apple - Score: 64936.3 | 94 events this week</li>
<li>
Tesla - Score: 41242.1 | 12 events this week</li>
<li>
AMD - Score: 40235.9 | 43 events this week</li>
</ol>

<h2>
 
 
 📈 Biggest Movers
</h2>

<ul>
<li>↑ Sony jumped 277 positions to #58</li>
<li>↑ Stability AI jumped 183 positions to #78</li>
<li>↑ Bytedance jumped 143 positions to #68</li>
<li>↑ Scale AI jumped 122 positions to #66</li>
<li>↑ Palantir jumped 107 positions to #17</li>
</ul>

<h2>
 
 
 🚨 Hype Gap Alerts
</h2>

No high hype alerts this week

<h2>
 
 
 📊 Key Insights
</h2>

<ul>
<li>Total companies tracked: 100</li>
<li>Total events this week: 1317</li>
<li>Average activity per company: 13.2 events</li>
</ul>

<h2>
 
 
 💡 What This Means
</h2>

The AI industry continues to evolve rapidly. Companies that ship consistently rise in our rankings, while those focused on hype alone get flagged by our Hype Gap detector.

Methodology: Our leaderboard tracks real product releases, funding events, partnerships, and market traction - not just PR and social media buzz.




Want real-time updates? Check out the live leaderboard at <a href="https://sectorhq.co" rel="noopener noreferrer">sectorhq.co</a>

Track specific companies and get instant alerts when they move in the rankings.

<h2>
 
 
 Tags
</h2>

<h1>
 
 
 AI #ArtificialIntelligence #MachineLearning #TechIndustry #Startups #AILeaderboard
</h1>

تسليط الضوء على أحدث التطورات في صناعة الذكاء الاصطناعي في نشرة قطاع HQ الأسبوعية بتاريخ 17 نوفمبر 2025، مع التركيز على أداء الشركات الرائدة. تتصدر OpenAI القائمة برصيد 442385.7 و343 حدثًا، تليها Anthropic وAmazon. كما يشير التقرير إلى تحركات كبيرة، حيث قفزت Sony 277 مركزًا في الترتيب، مما يعكس الطبيعة الديناميكية للقطاع.

El Digest semanal de Sector HQ del 17 de noviembre de 2025 destaca los últimos desarrollos en la industria de la IA, centrándose en el rendimiento de las principales empresas. OpenAI lidera con una puntuación de 442385.7 y 343 eventos, seguido de Anthropic y Amazon. El informe también señala movimientos significativos, con Sony saltando 277 posiciones en el ranking, reflejando la naturaleza dinámica del sector de la IA.

Le Digest hebdomadaire du Secteur HQ du 17 novembre 2025 met en lumière les derniers développements de l'industrie de l'IA, en se concentrant sur la performance des principales entreprises. OpenAI est en tête avec un score de 442385,7 et 343 événements, suivi d'Anthropic et d'Amazon. Le rapport note également des mouvements significatifs, Sony ayant grimpé de 277 positions dans le classement, reflétant la nature dynamique du secteur de l'IA.

The Sector HQ Weekly Digest for November 17, 2025, highlights the latest developments in the AI industry, focusing on the performance of top companies. OpenAI leads with a score of 442385.7 and 343 events, followed by Anthropic and Amazon. The report also notes significant movements, with Sony jumping 277 positions in the rankings, reflecting the dynamic nature of the AI sector.

Sector HQ Weekly Digest - November 17, 2025

Google has backtracked partially on its anti-third party app store policy. It will allow power users to install Android apps from alternative sources. The Mountain View company had recently announced a system [&#8230;]
Thank you for being a Ghacks reader. The post <a href="https://www.ghacks.net/2025/11/17/google-will-allow-experienced-users-to-install-apps-from-third-party-sources-on-android/" data-wpel-link="internal">Google will allow experienced users to install apps from third-party sources on Android</a> appeared first on <a href="https://www.ghacks.net" data-wpel-link="internal">gHacks Technology News</a>.

أعلنت شركة جوجل عن تراجع جزئي في سياستها ضد متاجر التطبيقات الخارجية، مما يسمح للمستخدمين ذوي الخبرة بتثبيت تطبيقات أندرويد من مصادر بديلة. يأتي هذا التغيير بعد أن حافظت الشركة على موقف صارم ضد مثل هذه الممارسات. تُعتبر هذه القرار تحولًا كبيرًا في نهج جوجل تجاه توزيع التطبيقات على منصتها أندرويد.

Google ha anunciado un cambio parcial en su política contra las tiendas de aplicaciones de terceros, permitiendo a los usuarios experimentados instalar aplicaciones de Android desde fuentes alternativas. Este cambio se produce después de que la compañía mantuviera una postura estricta contra tales prácticas. La decisión se considera un cambio significativo en el enfoque de Google hacia la distribución de aplicaciones en su plataforma Android.

Google a annoncé un revirement partiel de sa politique contre les magasins d'applications tiers, permettant aux utilisateurs expérimentés d'installer des applications Android à partir de sources alternatives. Ce changement survient après que l'entreprise ait maintenu une position stricte contre de telles pratiques. Cette décision est considérée comme un changement significatif dans l'approche de Google en matière de distribution d'applications sur sa plateforme Android.

Google has announced a partial reversal of its policy against third-party app stores, allowing experienced users to install Android apps from alternative sources. This change comes after the company had previously maintained a strict stance against such practices. The decision is seen as a significant shift in Google's approach to app distribution on its Android platform.

Google will allow experienced users to install apps from third-party sources on Android

<A HREF="https://www.theguardian.com/technology/2025/nov/16/google-deepmind-hurricane-forecast"><IMG VSPACE="4" HSPACE="4" BORDER="0" ALIGN="RIGHT" SRC="http://www.techmeme.com/251116/i7.jpg"></A>
<A HREF="http://www.techmeme.com/251116/p7#a251116p7" TITLE="Techmeme permalink"><IMG WIDTH=11 HEIGHT=12 SRC="http://www.techmeme.com/img/pml.png" STYLE="border:none;padding:0;margin:0;"></A> Eric Holthaus / <A HREF="http://www.theguardian.com/">The Guardian</A>: 
<A HREF="https://www.theguardian.com/technology/2025/nov/16/google-deepmind-hurricane-forecast">Forecasters at the US National Hurricane Center are increasingly leaning on Google's new DeepMind prediction model, though questions about its methods remain</A>&nbsp; &mdash;&nbsp; &lsquo;Less expensive and time consuming&rsquo; model helps with fast and accurate predictions, possibly saving lives and property

يستخدم المتنبئون في المركز الوطني للأعاصير في الولايات المتحدة بشكل متزايد نموذج التنبؤ الجديد من جوجل ديب مايند، المصمم لتقديم توقعات أسرع وأكثر دقة للأعاصير. على الرغم من مزاياه، لا تزال هناك أسئلة حول طرقه وموثوقيته. يُلاحظ أن النموذج أقل تكلفة ويستغرق وقتًا أقل، مما قد يساعد في إنقاذ الأرواح والممتلكات خلال أحداث الأعاصير.

Los pronosticadores del Centro Nacional de Huracanes de EE. UU. están utilizando cada vez más el nuevo modelo de predicción DeepMind de Google, diseñado para proporcionar pronósticos de huracanes más rápidos y precisos. A pesar de sus ventajas, persisten preguntas sobre los métodos y la fiabilidad del modelo. Se destaca que el modelo es menos costoso y requiere menos tiempo, lo que podría ayudar a salvar vidas y propiedades durante los eventos de huracanes.

Les prévisionnistes du Centre national des ouragans des États-Unis s'appuient de plus en plus sur le nouveau modèle de prévision DeepMind de Google, conçu pour fournir des prévisions d'ouragans plus rapides et plus précises. Malgré ses avantages, des questions subsistent concernant les méthodes et la fiabilité du modèle. Ce modèle est reconnu pour être moins coûteux et moins chronophage, ce qui pourrait aider à sauver des vies et des biens lors des événements d'ouragans.

Forecasters at the US National Hurricane Center are increasingly utilizing Google's new DeepMind prediction model, which is designed to provide faster and more accurate hurricane forecasts. Despite its advantages, questions regarding the model's methods and reliability persist. The model is noted for being less expensive and time-consuming, potentially aiding in saving lives and property during hurricane events.

Forecasters at the US National Hurricane Center are increasingly leaning on Google's new DeepMind prediction model, though questions about its methods remain (Eric Holthaus/The Guardian)

This is a submission for the <a href="https://dev.to/challenges/googlekagglechallenge">Google AI Agents Writing Challenge</a>: Learning Reflections

I already knew about the possibility of using multiple AI agents to design complex workflows: my company is building one right now — and I’m partially involved in the development process. But I had never tried Google’s Agent Development Kit (ADK) before. Here’s what my 5-days journey with Kaggle was like.

<h2>
 
 
 Agents Intensive
</h2>

I have no doubt that the most interesting part of the course was the white papers. Despite only lasting five days, they will give me the opportunity to delve deeper into all the topics covered in the coming weeks or even months. References may require even more. Will I have time to read them all?

The <a href="https://www.kaggle.com/code" rel="noopener noreferrer">Kaggle Notebooks</a>, which I already knew, were an excellent laboratory for putting into practice what I had learned: obviously the first thing I did was install the ADK locally. So, having a free Google AI Studio API key, I did some testing from the terminal emulator using Gemini.

On that note, I think I’ll stick with a local copy of <a href="https://deepmind.google/models/gemma/gemma-3/" rel="noopener noreferrer">Gemma 3</a> in the future, as I have no intention of subscribing to a paid plan. This is because my use is exclusively educational, as I’m an employee. Not because I don’t think the service is valuable: but I can’t afford it right now.

<h3>
 
 
 Day 1 • Introduction to Agents
</h3>

I used to think of agentic AI in the singular. I don’t think this is just a problem for my company, but just as DevOps is concerned with optimizing cloud computing costs, so we have been asked to do with AI. So, as it has been from 2018 to today, I had never considered the idea of ​​integrating multiple agents into the same flow.

Technology is evolving: just consider the move from the Completion to the Responses API for ChatGPT. The introduction of the <code>prompt</code> object reduces the cost of system prompts, yet many have not adapted to the new infrastructure to date. Google’s solution goes exactly in this direction: optimization and efficiency.

Among other things, during this study day I learned above all how to use agents sequentially or in parallel. Additionally, I figured out how to use one agent to judge another or orchestrate a group of them. I didn’t think that, regardless of the tool used, it could be so useful.

<h3>
 
 
 Day 2 • Agent Tools &amp; Interoperability with Model Context Protocol (MCP)
</h3>

This was a slightly different day than the others, as it wasn’t focused on using multiple agents. In fact, not even the final project requires using more than one, but out of five days, that was the standard practice for at least four. Here we took a step back, returning to talk about tools and MCPs.

Tools are the reason why I reevaluated the adoption of LLM models in the company. In essence, thanks to them we are able to fill the gap that agents have: knowledge of the present and the future. More or less advanced, models are trained on knowledge bases established at the time they are developed.

You can’t ask ChatGPT what the weather will be like tomorrow like you can with Alexa, because it simply can’t know. Tools allow agents to query external, up-to-date and predictive sources to the model. The MCP protocol is a connector that allows agents to query third-party tools for the same purpose.

<h3>
 
 
 Day 3 • Context Engineering: Sessions &amp; Memory
</h3>

Agents have no memory. This is a problem for two reasons: first, economic, and second, functional. Economically, as I mentioned when switching from Completion to Responses APIs, this means that the entire history of a conversation needs to be submitted to the agent each time. A waste of tokens.

The functional problem is the same. Without history, or context, an agent can’t go beyond the single request it receives. Try thinking about pronouns: if you start a sentence with a pronoun, but the person you’re talking to doesn’t know the previous sentence, what you’re saying makes no sense.

Therefore, Google’s ADK offers two different ways to manage agent memory: one based on a single session and one based on an external database. This solution allows you to save tokens and offer agents a context that is not provided by default. In customer care it’s crucial.

<h3>
 
 
 Day 4 • Agent Quality
</h3>

Test-Driven Development (TDD) should guide any development. It doesn’t. It’s well known that automated testing is the least of developers’ worries — I envy anyone who thinks otherwise. It will probably be the same with agents, but the solutions proposed by Google are still more than satisfactory.

It’s not just a matter of testing. Ensuring the quality of responses also means submitting the solution proposed by an agent to a review: and here we go back to day one. The needs are many, but we can reduce them to two. Quality assurance and error debugging.

Nothing different from what we would do with traditional software development. Languages ​​and environments change, but not the paradigm. There are numerous configurations of agents, models, etc., but the way to subject them to quality testing is always the same.

<h3>
 
 
 Day 5 • Prototype to Production
</h3>

The first thing you should think about is CI/CD. It doesn’t matter what the programming language, framework, or development environment. The same goes for agents. So far, I’ve assumed we’re talking about Python, but Google has made the ADK accessible for use with Go and Java as well.

Everything I’ve talked about so far applies to the <a href="https://a2a-protocol.org/" rel="noopener noreferrer">Agent2Agent (A2A) Protocol</a>. An ecosystem that allows tools and agents to communicate with each other, regardless of the model used and the domain in which they were instantiated. A kind of MCP for agents: instead of retrieving information and tools for users, it does it for them.

This brings us to the concept of AgentOps. Sooner or later, going back to day one, we’ll have agents that update themselves. Until then, deployment operations will require human intervention: this means that specialized process management professionals will be needed.

<h2>
 
 
 Capstone Project
</h2>

This is completely optional, but I decided to participate because, being ADHD, it gives me the opportunity to focus on a project for the next sixteen days. Honestly, I don’t care about finishing in the top three. I just need to be able to create something from start to finish.

I could choose between four different categories: I opted for Enterprise Agents, because at my age I really struggle not to think about business opportunities when I’m developing something. I work for a company that specializes in customer service, and it’s the industry I know best.

Well, to be honest, it would be more intriguing to throw myself into something different than usual, but I have limited time and for once I want to get something done. I have several options and I need to commit to the most useful one. I think I’ve already identified which one it is, but I’ll let you know when I’m done.

يتناول المقال رحلة تعليمية مدتها خمسة أيام حول وكلاء الذكاء الاصطناعي باستخدام مجموعة أدوات تطوير الوكلاء من جوجل (ADK) وKaggle. وجد المؤلف، الذي يشارك في تطوير سير العمل للذكاء الاصطناعي في شركته، أن الدورة كانت مثيرة للاهتمام بشكل خاص بسبب الأوراق البحثية التي تقدم رؤى عميقة حول مواضيع متنوعة. تعد هذه التجربة بتحسين فهمه لوكلاء الذكاء الاصطناعي وتطبيقاتهم في سير العمل المعقدة.

El artículo describe un viaje de aprendizaje de cinco días sobre agentes de IA utilizando el Kit de Desarrollo de Agentes de Google (ADK) y Kaggle. El autor, que participa en el desarrollo de flujos de trabajo de IA en su empresa, encontró el curso especialmente interesante debido a sus documentos técnicos, que ofrecen conocimientos profundos sobre varios temas. Esta experiencia promete mejorar su comprensión de los agentes de IA y sus aplicaciones en flujos de trabajo complejos.

L'article traite d'un parcours d'apprentissage de cinq jours sur les agents IA en utilisant le Kit de Développement d'Agents de Google (ADK) et Kaggle. L'auteur, impliqué dans le développement de flux de travail IA dans son entreprise, a trouvé le cours particulièrement captivant grâce à ses articles de recherche, qui offrent des aperçus approfondis sur divers sujets. Cette expérience promet d'améliorer sa compréhension des agents IA et de leurs applications dans des flux de travail complexes.

The article discusses a five-day journey of learning about AI agents using Google's Agent Development Kit (ADK) and Kaggle. The author, who is involved in developing AI workflows at their company, found the course particularly engaging due to its white papers, which provide in-depth insights into various topics. The experience promises to enhance their understanding of AI agents and their applications in complex workflows.

AI Agents: From Zero to Hero in 5-Days With Kaggle and Google

طلبت ميتا من مجلس الإشراف تقديم ملاحظات حول ميزة Community Notes قبل التوسع المخطط لها. تشير هذه الخطوة إلى نية ميتا تعزيز الشفافية والمساءلة في ممارساتها في إدارة المحتوى.

Meta ha solicitado a la Junta de Supervisión que brinde su opinión sobre la función Community Notes antes de su expansión planificada. Este movimiento indica la intención de Meta de mejorar la transparencia y la responsabilidad en sus prácticas de moderación de contenido.

Meta a demandé à l'Oversight Board de donner son avis sur sa fonctionnalité Community Notes avant son expansion prévue. Cette démarche indique l'intention de Meta d'améliorer la transparence et la responsabilité dans ses pratiques de modération de contenu.

Meta has requested the Oversight Board to provide input on its Community Notes feature prior to its planned expansion. This move indicates Meta's intention to enhance transparency and accountability in its content moderation practices.

Google sues group running massive SMS scam operation

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