أعلنت شركة ليغو عن عروض مبكرة لعيد الشكر، حيث تقدم خصومات تصل إلى 37% على مجموعات مختارة من ستار وورز وديزني. تعتبر هذه الحملة مهمة لأنها توفر للمستهلكين فرصة لشراء عناصر شعبية بأسعار مخفضة قبل موسم التسوق للعطلات.

Lego ha anunciado ofertas anticipadas del Black Friday, con descuentos de hasta el 37% en ciertos sets de Star Wars y Disney. Esta promoción es significativa ya que brinda a los consumidores la oportunidad de adquirir artículos populares a precios reducidos antes de la temporada de compras navideñas.

Lego a annoncé des offres anticipées pour le Black Friday, proposant des réductions allant jusqu'à 37 % sur certains ensembles Star Wars et Disney. Cette promotion est importante car elle offre aux consommateurs l'occasion d'acheter des articles populaires à des prix réduits avant la saison des achats de fin d'année.

Lego has announced early Black Friday deals, offering discounts of up to 37% on select Star Wars and Disney sets. This promotion is significant as it provides consumers with an opportunity to purchase popular items at reduced prices ahead of the holiday shopping season.

Lego Black Friday deals: Star Wars and Disney sets are up to 37 percent off with these early sales

<A HREF="https://fortune.com/2025/11/19/exclusive-doppel-raises-70-million-series-c-at-more-than-600-million-valuation-to-fight-ai-powered-social-engineering-attacks/"><IMG VSPACE="4" HSPACE="4" BORDER="0" ALIGN="RIGHT" SRC="http://www.techmeme.com/251119/i39.jpg"></A>
<A HREF="http://www.techmeme.com/251119/p39#a251119p39" TITLE="Techmeme permalink"><IMG WIDTH=11 HEIGHT=12 SRC="http://www.techmeme.com/img/pml.png" STYLE="border:none;padding:0;margin:0;"></A> Allie Garfinkle / <A HREF="http://www.fortune.com/">Fortune</A>: 
<A HREF="https://fortune.com/2025/11/19/exclusive-doppel-raises-70-million-series-c-at-more-than-600-million-valuation-to-fight-ai-powered-social-engineering-attacks/">Doppel, which makes an AI social engineering detection service, raised a $70M Series C led by Bessemer at a $600M+ valuation, up from $205M in May</A>&nbsp; &mdash;&nbsp; Senior Finance Reporter And Author Of Term Sheet&nbsp; &mdash;&nbsp; I tried to fool my brother, sort of.&nbsp; &mdash;&nbsp; Next to him and his Pekingese on the couch &hellip;

دوبل، وهي شركة متخصصة في خدمات الكشف عن الهندسة الاجتماعية باستخدام الذكاء الاصطناعي، نجحت في جمع 70 مليون دولار في جولة تمويل من السلسلة C بقيادة بيسمر. وقد زادت هذه الجولة من تقييم الشركة إلى أكثر من 600 مليون دولار، ارتفاعًا من 205 مليون دولار في مايو.

Doppel, una empresa que se especializa en servicios de detección de ingeniería social mediante IA, ha recaudado con éxito 70 millones de dólares en una ronda de financiación Serie C liderada por Bessemer. Esta ronda ha elevado la valoración de la empresa a más de 600 millones de dólares, un aumento significativo desde los 205 millones en mayo.

Doppel, une entreprise spécialisée dans les services de détection d'ingénierie sociale par IA, a levé avec succès 70 millions de dollars lors d'un tour de financement de série C dirigé par Bessemer. Ce tour de financement a porté la valorisation de l'entreprise à plus de 600 millions de dollars, contre 205 millions en mai.

Doppel, a company specializing in AI social engineering detection services, has successfully raised $70 million in a Series C funding round led by Bessemer. This funding round has increased the company's valuation to over $600 million, a significant rise from $205 million in May.

Doppel, which makes an AI social engineering detection service, raised a $70M Series C led by Bessemer at a $600M+ valuation, up from $205M in May (Allie Garfinkle/Fortune)

The service is customized for teachers' needs and includes added security and privacy, a collaborative workspace, and more.

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GPT-5.1-Codex-Max is ready to take on your next massive coding job. Here's what's new.

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The agent offers one-click buying for all your holiday needs and will be free for all US-based users.

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<a href="https://fetch.ai/">Fetch AI</a>, a startup founded and led by former DeepMind founding investor, Humayun Sheikh, <a href="https://www.businesswire.com/news/home/20251119088395/en/Fetch-Combines-Personalized-AI-with-Multi-Agent-Collaboration-to-Handle-Complex-Consumer-Tasks-Launches-Claim-Your-Agent-to-Fight-Brand-Knock-Offs">today announced the release</a> of three interconnected products designed to provide the trust, coordination, and interoperability needed for large-scale AI agent ecosystems. The launch includes <a href="https://asi1.ai/">ASI:One</a>, a personal-AI orchestration platform; <a href="https://business.fetch.ai/">Fetch Business</a>, a verification and discovery portal for brand agents; and <a href="https://agentverse.ai/?sort=relevancy&amp;page=1&amp;recommended=true">Agentverse</a>, an open directory hosting more than two million agents. Together, the system positions Fetch as an infrastructure provider for what it calls the “Agentic Web”—a layer where consumer AIs and brand AIs collaborate to complete tasks instead of merely suggesting them.The company says the tools address a central limitation in current consumer AI: models can provide recommendations but cannot reliably execute multi-step actions that require coordination across businesses. Fetch’s approach centers on enabling agents from different organizations to interoperate securely, using verified identities and shared context to complete end-to-end workflows.“We’re creating the same foundation for agents that Google created for websites,” said Humayun Sheikh, Founder and CEO of Fetch AI, and an early investor in DeepMind, in a press release provided to VentureBeat. “Instead of just finding information, your personal AI coordinates with verified brand agents to get things done.”<h2>Background: Fetch’s Founding and DeepMind Connection </h2>Fetch AI was founded in 2017 by Humayun Sheikh, an entrepreneur whose early investment in DeepMind helped support the company’s commercial development before its acquisition by Google. “I was one of the first five people at DeepMind and its first investor. My check was the first one in,” Sheikh said, reflecting on the period when advanced machine learning research was still largely inaccessible outside major technology companies.His early experience helped shape Fetch’s direction. “Even in 2013, it was clear to me that agentic systems were going to be the ones that worked. That’s where I focused—on the agentic web,” Sheikh noted. Fetch built on this thesis by developing infrastructure for autonomous software agents, focusing on verifiable identity, secure data exchange, and multi-agent coordination. Over the past several years, the company has expanded to a 70-person team across Cambridge and Menlo Park, raised approximately $60 million, and accumulated more than one million users interacting with its model—data that informed the design of the newly launched products.Sheikh added that his decision to bootstrap the company initially came directly from the proceeds of the DeepMind exit, noting in the interview that while the sale to Google was “a good exit,” he believed the team could have held out for a higher valuation. The early self-funding period allowed Fetch to begin work in 2015—well before transformer architectures went mainstream—on the hypothesis that agentic infrastructure would become foundational to applied AI.<h2>ASI:One — A Platform for Multi-Agent Orchestration</h2>At the core of the launch is ASI:One, a language model interface designed specifically for coordinating multiple agents rather than addressing isolated queries. Fetch describes it as an “intelligence layer” that handles context sharing, task routing, and preference modeling.The system stores user-level signals such as favored airlines, dietary constraints, budget ranges, loyalty program identifiers, and calendar availability. When a user requests a complex task—such as planning a trip with flights, hotels, and restaurant reservations—ASI:One retrieves those preferences and delegates work to the appropriate verified agents. The agents then return actionable outputs, including inventory and booking options, rather than generic recommendations.In practice, ASI:One functions as a workflow generator across organizational boundaries. By contrast with conventional LLM applications, which often rely on APIs or RAG techniques to surface information, ASI:One is built to coordinate autonomous agents that can complete transactions. Fetch notes that personalization improves over time as the model accumulates structured preference data.Sheikh emphasized the distinction between orchestrated execution and traditional AI output. “This isn’t searching for options separately and hoping they work together,” he said. “It’s orchestration.” He added that Fetch’s architecture is intentionally modular: “Our architecture is a mix of agentic and expert models. One large model isn’t enough—you need specialists. That’s why we built ASI1, tuned specifically for agentic systems.”The interview also revealed new details about ASI:One’s personalization systems: the platform uses multiple user-owned knowledge graphs to store preferences, travel history, social connections, and contextual constraints. These knowledge graphs are siloed per user and not co-mingled with any Fetch-operated data. Sheikh described this as a “deterministic backbone” that gives the personal AI a stable memory layer beyond the probabilistic output of a single large model.ASI:One launches in Beta today, with a broader release planned for early 2026. Fetch also offers ASI:One Mobile, released earlier this year, giving users access to the same agent-orchestration capabilities on iOS and Android. The mobile app connects directly to Agentverse and the user’s knowledge graphs, enabling on-the-go task execution and real-time interaction with registered agents.<h2>Fetch Business — Verified Identity and Brand Control</h2>To enable reliable coordination between consumers and companies, Fetch is introducing a verification and discovery portal called Fetch Business. The platform allows organizations to verify their identity and claim an official Brand Agent handle—for example, @Hilton or @Nike—regardless of which tools they use to build the underlying agent.Fetch positions the product as an analogue to ICANN domain registration and SSL certificate systems for websites. Verified status is intended to protect consumers from interacting with counterfeit or untrusted agents, a problem the company describes as a major barrier to widespread agent adoption.The system includes low-code tools for small businesses to create agents in a few steps and connect real-time APIs such as inventory, booking systems, or CRM platforms. “With Fetch, you can create an agent in one minute. It gets a handle, like a Twitter username, and you can personalize it completely—even give it your social media permissions to post on your behalf,” Sheikh said. Once a brand claims its namespace, its agent becomes discoverable to consumer AIs and other agents inside Agentverse.The company has pre-reserved thousands of brand namespaces in anticipation of demand. Verification status persists across any platform that integrates with Agentverse, creating a portable identity layer for business agents.The interview highlighted that Fetch Business inherits web-trust primitives directly: domain owners verify their identity by inserting a short code snippet into their existing website backend, allowing the system to pass a cryptographic challenge and grant the agent an authenticity badge similar to a “blue check” for agent identities. Sheikh framed this as “reusing the trust layer the web already spent decades building.”Companies can begin claiming agents now at <a href="https://business.fetch.ai/">business.fetch.ai</a>.<h2>Agentverse — An Open Directory of More Than Two Million Agents</h2>The final component of the release is <a href="https://agentverse.ai/">Agentverse</a>, an open directory and cloud platform that hosts agents and enables cross-ecosystem discoverability. Fetch states that millions of agents have already registered, spanning travel, retail, entertainment, food service, and enterprise categories.Agentverse provides metadata, capability descriptions, and routing logic that ASI:One uses to identify appropriate agents for specific tasks. It also supports secure communication and data exchange between agents. The company notes that the directory is platform-agnostic: agents built with any framework can join and interoperate.According to Sheikh, the lack of a discovery layer is one reason most AI agents see little or no usage. “Ninety percent of AI agents never get used because there’s no discovery layer,” he said. He framed the role of Agentverse in more technical terms: “Right now, if you build an agent, there’s no universal way for others to discover it. That’s what AgentVerse solves—it’s like DNS for agents.” He also described the system as an essential component of the emerging agent economy: “Fetch is building the Google of agents. Just like websites needed search, agents need discovery, trust, and interaction—Fetch provides all of that.”The interview further underscored that Agentverse is cloud-agnostic by design. Sheikh contrasted this with competing agent ecosystems tied to specific cloud providers, arguing that a universal registry is only viable if independent of proprietary cloud environments. He said the open architecture enables an LLM to query any agent “within one minute of deployment,” turning agent publication into a near-instantaneous process similar to registering a domain.Agentverse also integrates payment pathways, enabling agents to execute purchases using partners such as Visa, Skyfire, and supported stablecoins. Consumers can configure spending limits or require explicit approval for transactions.<h2>Industry Context and Implications</h2>Fetch’s launch comes at a time when consumer AI platforms are exploring the shift from static chat interfaces toward autonomous agents capable of completing actions. However, most agent systems remain limited by siloed architectures, limited interoperability, and weak verification standards.Fetch positions its infrastructure as a response to these limitations by providing a cross-platform coordination layer, identity system, and directory service. The company argues that an agent ecosystem requires consistent verification mechanisms to ensure that consumers interact with authentic brand representatives rather than imitations. By establishing namespace control and portable trust indicators, Fetch Business aims to fill a gap similar to early web domain verification.At the same time, ASI:One attempts to centralize user preference data in a way that enables more efficient personalization and multi-agent coordination. This approach differs from generalist LLM applications, which often lack persistent preference architectures or direct access to brand-controlled agents.The interview also made clear that micropayments and digital transaction infrastructure are central to Fetch’s long-term vision. Sheikh referenced integrations with protocols such as Coinbase’s 402 and AP2, positioning these capabilities as essential for autonomous agents to complete end-to-end tasks that include financial execution.<h2>Takeaway</h2>Fetch’s combined release of ASI:One, Fetch Business, and Agentverse introduces an interconnected stack designed to support large-scale deployment and usage of AI agents. The company frames the system as foundational infrastructure for an agentic ecosystem, where consumer AIs can coordinate with verified brand agents to complete tasks reliably and securely. The additions to its identity, discovery, and orchestration layers reflect Fetch’s long-standing thesis—rooted partly in lessons from DeepMind’s early development—that intelligence becomes meaningful only when paired with the capacity to act.

أطلقت شركة Fetch AI، وهي شركة ناشئة يقودها هميون شيخ، ثلاثة منتجات مترابطة تهدف إلى تعزيز نظام وكلاء الذكاء الاصطناعي. تشمل العروض الجديدة ASI:One، وهي منصة تنسيق ذكاء اصطناعي شخصي، وFetch Business، وهو بوابة للتحقق والاكتشاف لوكلاء العلامات التجارية، وAgentverse، وهو دليل مفتوح يضم أكثر من مليوني وكيل. تسعى هذه المبادرة إلى إنشاء بنية تحتية قوية لما تصفه Fetch بـ 'الويب الوكالي.'

Fetch AI, una startup dirigida por Humayun Sheikh, ha lanzado tres productos interconectados destinados a mejorar el ecosistema de agentes de IA. Las nuevas ofertas incluyen ASI:One, una plataforma de orquestación de IA personal, Fetch Business, un portal de verificación y descubrimiento para agentes de marca, y Agentverse, un directorio abierto con más de dos millones de agentes. Esta iniciativa busca establecer una infraestructura sólida para lo que Fetch describe como la 'Web Agente.'

Fetch AI, une startup dirigée par Humayun Sheikh, a lancé trois produits interconnectés visant à améliorer l'écosystème des agents IA. Les nouvelles offres comprennent ASI:One, une plateforme d'orchestration d'IA personnelle, Fetch Business, un portail de vérification et de découverte pour les agents de marque, et Agentverse, un annuaire ouvert avec plus de deux millions d'agents. Cette initiative vise à établir une infrastructure robuste pour ce que Fetch décrit comme le 'Web Agentique.'

Fetch AI, a startup led by Humayun Sheikh, has launched three interconnected products aimed at enhancing the ecosystem of AI agents. The new offerings include ASI:One, a personal-AI orchestration platform, Fetch Business, a verification and discovery portal for brand agents, and Agentverse, an open directory with over two million agents. This initiative seeks to establish a robust infrastructure for what Fetch describes as the 'Agentic Web.'

The Google Search of AI agents? Fetch launches ASI:One and Business tier for new era of non-human web

If aesthetics and efficiency top your list of needs, there are several Linux distributions that are right up your alley. Both Ubuntu Budgie and Pop!_OS should top that list.

Ubuntu Budgie vs. Pop!_OS: I've used both Linux distros - here's how to choose

PLUS: Use Claude to organize your business finances

قدمت نجمة ديزني صورًا رمزية بالذكاء الاصطناعي تمثل الأشخاص المتوفين، مما يمثل تطورًا كبيرًا في تقاطع الترفيه والذكاء الاصطناعي. يعرض هذا الظهور إمكانيات تكنولوجيا الذكاء الاصطناعي لإنشاء تمثيلات واقعية لمن رحلوا، مما يثير تساؤلات حول الأخلاقيات ومستقبل الشخصيات الرقمية. حدث هذا الحدث في 17 نوفمبر 2025، ومن المتوقع أن يجذب انتباه المعجبين والخبراء في الصناعة على حد سواء.

Una estrella de Disney ha presentado avatares de IA que representan a personas fallecidas, marcando un desarrollo significativo en la intersección del entretenimiento y la inteligencia artificial. Este debut muestra el potencial de la tecnología de IA para crear representaciones realistas de quienes han fallecido, planteando preguntas sobre la ética y el futuro de las personas digitales. El evento tuvo lugar el 17 de noviembre de 2025 y se espera que atraiga la atención tanto de los fanáticos como de los expertos de la industria.

Une star de Disney a présenté des avatars IA représentant des personnes décédées, marquant un développement significatif à l'intersection du divertissement et de l'intelligence artificielle. Ce lancement met en avant le potentiel de la technologie IA pour créer des représentations réalistes de ceux qui ont disparu, soulevant des questions éthiques et sur l'avenir des personas numériques. L'événement a eu lieu le 17 novembre 2025 et devrait attirer l'attention des fans et des experts de l'industrie.

Disney star has introduced AI avatars representing deceased individuals, marking a significant development in the intersection of entertainment and artificial intelligence. This debut showcases the potential of AI technology to create lifelike representations of those who have passed away, raising questions about ethics and the future of digital personas. The event took place on November 17, 2025, and is expected to attract attention from both fans and industry experts alike.

Disney star debuts AI avatars of the dead

The feud between YouTube TV and Disney has ended. Disney's channels are back on the streaming service after a blackout of over 2 weeks. YouTube TV subscribers had lost access to Disney, [&#8230;]
Thank you for being a Ghacks reader. The post <a href="https://www.ghacks.net/2025/11/17/disneys-channels-are-back-on-youtube-tv-after-a-2-week-blackout/" data-wpel-link="internal">Disney&#039;s channels are back on YouTube TV after a 2-week blackout</a> appeared first on <a href="https://www.ghacks.net" data-wpel-link="internal">gHacks Technology News</a>.

عادت قنوات ديزني إلى يوتيوب تي في بعد انقطاع دام أكثر من أسبوعين. تم حل النزاع بين الشركتين، مما سمح للمشتركين باستعادة الوصول إلى محتوى ديزني. يعتبر هذا التطور بمثابة راحة للعديد من المشاهدين الذين يعتمدون على يوتيوب تي في لتلبية احتياجاتهم الترفيهية.

Los canales de Disney han regresado a YouTube TV después de un apagón que duró más de dos semanas. La disputa entre las dos compañías se ha resuelto, permitiendo a los suscriptores recuperar el acceso al contenido de Disney. Este desarrollo es un alivio para muchos espectadores que dependen de YouTube TV para sus necesidades de entretenimiento.

Les chaînes de Disney sont de retour sur YouTube TV après une coupure de plus de deux semaines. Le conflit entre les deux entreprises a été résolu, permettant aux abonnés de retrouver l'accès au contenu de Disney. Ce développement est un soulagement pour de nombreux téléspectateurs qui dépendent de YouTube TV pour leurs besoins de divertissement.

Disney's channels have returned to YouTube TV after a blackout lasting over two weeks. The dispute between the two companies has been resolved, allowing subscribers to regain access to Disney's content. This development comes as a relief to many viewers who rely on YouTube TV for their entertainment needs.

Disney's channels are back on YouTube TV after a 2-week blackout

arXiv:2511.05394v2 Announce Type: replace 
Abstract: We present an AI-assisted Augmented Reality assembly workflow that uses deep learning-based object recognition to identify different assembly components and display step-by-step instructions. For each assembly step, the system displays a bounding box around the corresponding components in the physical space, and where the component should be placed. By connecting assembly instructions with the real-time location of relevant components, the system eliminates the need for manual searching, sorting, or labeling of different components before each assembly. To demonstrate the feasibility of using object recognition for AR-assisted assembly, we highlight a case study involving the assembly of LEGO sculptures.

تم تطوير سير عمل تجميع مدعوم بالواقع المعزز (AR) يستخدم التعرف على الكائنات القائم على التعلم العميق لتحديد مكونات التجميع وتقديم تعليمات خطوة بخطوة. يعرض النظام صناديق حدود حول المكونات في الوقت الفعلي، مشيرًا إلى مكان وضعها، مما يلغي الحاجة إلى البحث أو الفرز اليدوي. توضح دراسة حالة تتعلق بتجميع تماثيل LEGO جدوى النظام وفعاليته في تحسين عملية التجميع.

Se ha desarrollado un flujo de trabajo de ensamblaje asistido por Realidad Aumentada (RA) que utiliza el reconocimiento de objetos basado en aprendizaje profundo para identificar componentes de ensamblaje y proporcionar instrucciones paso a paso. El sistema muestra cuadros delimitadores alrededor de los componentes en tiempo real, indicando su colocación, eliminando así la necesidad de búsqueda o clasificación manual. Un estudio de caso que involucra el ensamblaje de esculturas de LEGO demuestra la viabilidad y efectividad del sistema para mejorar el proceso de ensamblaje.

Un flux de travail d'assemblage assisté par la réalité augmentée (RA) a été développé, utilisant la reconnaissance d'objets basée sur l'apprentissage profond pour identifier les composants d'assemblage et fournir des instructions étape par étape. Le système affiche des boîtes de délimitation autour des composants en temps réel, indiquant leur placement, éliminant ainsi le besoin de recherche ou de tri manuel. Une étude de cas impliquant l'assemblage de sculptures LEGO démontre la faisabilité et l'efficacité du système dans l'amélioration du processus d'assemblage.

An AI-assisted Augmented Reality (AR) assembly workflow has been developed, utilizing deep learning-based object recognition to identify assembly components and provide step-by-step instructions. The system displays bounding boxes around components in real-time, indicating their placement, thus eliminating the need for manual searching or sorting. A case study involving the assembly of LEGO sculptures demonstrates the system's feasibility and effectiveness in enhancing the assembly process.

AI Assisted AR Assembly: Object Recognition and Computer Vision for Augmented Reality Assisted Assembly

تخطط شركة AMD للكشف عن تقنية تحسين الصور Redstone في العاشر من ديسمبر، وفقًا لما ذكرته Engadget. من المتوقع أن تعرض هذه العرض التقديمي القادم تقدمًا في تحسين جودة الصورة، مما قد يكون له تأثيرات كبيرة على أداء الألعاب والرسوميات.

AMD presentará su tecnología de escalado Redstone el 10 de diciembre, según Engadget. Esta próxima demostración se anticipa que mostrará avances en la mejora de la calidad de imagen, lo que podría tener implicaciones significativas para el rendimiento en juegos y gráficos.

AMD prévoit de présenter sa technologie d'upscaling Redstone le 10 décembre, selon Engadget. Cette démonstration à venir devrait mettre en avant des avancées dans l'amélioration de la qualité d'image, ce qui pourrait avoir des implications significatives pour les performances de jeu et de graphisme.

AMD is set to preview its Redstone upscaling technology on December 10, as reported by Engadget. This upcoming demonstration is anticipated to showcase advancements in image quality enhancement, which could have significant implications for gaming and graphics performance.

Lego Black Friday deals: Star Wars and Disney sets are up to 37 percent off with these early sales

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