As part of an effort to retire the old Twitter.com domain, X is requiring passkey and security key users to re-enroll — but are getting stuck in endless loops and unable to finish.

واجهت منصة إيلون ماسك X مشاكل كبيرة خلال عملية تبديل مفتاح الأمان التي تهدف إلى إلغاء نطاق Twitter.com القديم. يُطلب من المستخدمين الذين يعتمدون على مفاتيح الوصول والأمان إعادة التسجيل، لكنهم يواجهون مشاكل، حيث علقوا في حلقات لا نهائية تمنعهم من إكمال العملية. أدت هذه الحالة إلى قفل العديد من المستخدمين خارج حساباتهم، مما يبرز العيوب المحتملة في استراتيجية انتقال المنصة ويثير القلق بشأن تجربة المستخدم وإدارة الأمان.

La plataforma X de Elon Musk ha enfrentado problemas significativos durante un cambio de clave de seguridad destinado a retirar el antiguo dominio Twitter.com. Los usuarios que dependen de claves de acceso y de seguridad deben reinscribirse, pero están encontrando problemas, quedándose atrapados en bucles infinitos que les impiden completar el proceso. Esta situación ha resultado en que muchos usuarios queden bloqueados fuera de sus cuentas, lo que resalta posibles fallas en la estrategia de transición de la plataforma y plantea preocupaciones sobre la experiencia del usuario y la gestión de la seguridad.

La plateforme X d'Elon Musk a rencontré des problèmes importants lors d'un changement de clé de sécurité visant à retirer l'ancien domaine Twitter.com. Les utilisateurs qui dépendent des clés d'accès et de sécurité doivent se réinscrire, mais rencontrent des problèmes, se retrouvant coincés dans des boucles infinies qui les empêchent de terminer le processus. Cette situation a entraîné le verrouillage de nombreux utilisateurs de leurs comptes, mettant en évidence des défauts potentiels dans la stratégie de transition de la plateforme et soulevant des inquiétudes concernant l'expérience utilisateur et la gestion de la sécurité.

Elon Musk's platform X has faced significant issues during a security key switchover aimed at retiring the old Twitter.com domain. Users who rely on passkeys and security keys are required to re-enroll but are encountering problems, getting stuck in endless loops that prevent them from completing the process. This situation has resulted in many users being locked out of their accounts, highlighting potential flaws in the platform's transition strategy and raising concerns about user experience and security management.

Elon Musk’s X botched its security key switchover, locking users out

<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.

Perplexity's AI shopping tool is free for all now, just in time for Black Friday - how to use it

<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

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

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

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

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

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

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

<A HREF="https://www.wsj.com/tech/now-tech-moguls-want-to-build-data-centers-in-outer-space-a8d08b4b?st=aK2n8a&reflink=article_copyURL_share"><IMG VSPACE="4" HSPACE="4" BORDER="0" ALIGN="RIGHT" SRC="http://www.techmeme.com/251116/i9.jpg"></A>
<A HREF="http://www.techmeme.com/251116/p9#a251116p9" TITLE="Techmeme permalink"><IMG WIDTH=11 HEIGHT=12 SRC="http://www.techmeme.com/img/pml.png" STYLE="border:none;padding:0;margin:0;"></A> Tim Higgins / <A HREF="https://www.wsj.com/">Wall Street Journal</A>: 
<A HREF="https://www.wsj.com/tech/now-tech-moguls-want-to-build-data-centers-in-outer-space-a8d08b4b?st=aK2n8a&reflink=article_copyURL_share">Elon Musk, Jeff Bezos, and Sundar Pichai have each discussed lunar and orbital AI data centers, which could offer steady solar power with fewer regulations</A>&nbsp; &mdash;&nbsp; Energy constraints in the artificial-intelligence race are causing tech companies to think out of this world

ناقش إيلون ماسك وجيف بيزوس وسوندار بيتشاي إمكانية إنشاء مراكز بيانات للذكاء الاصطناعي على القمر وفي المدار. يمكن أن توفر هذه المراكز مصدرًا ثابتًا للطاقة الشمسية مع تقليل القيود التنظيمية. تأتي هذه الفكرة نتيجة للقيود الطاقية التي تواجه قطاع الذكاء الاصطناعي.

Elon Musk, Jeff Bezos y Sundar Pichai han discutido sobre la posibilidad de centros de datos de IA lunares y orbitales. Estos centros podrían proporcionar una fuente constante de energía solar mientras operan bajo menos regulaciones. La exploración de este concepto está impulsada por las limitaciones energéticas que enfrenta el sector de la inteligencia artificial.

Elon Musk, Jeff Bezos et Sundar Pichai ont discuté de la possibilité de centres de données AI lunaires et orbitaux. Ces centres pourraient fournir une source constante d'énergie solaire tout en étant soumis à moins de contraintes réglementaires. Cette exploration est motivée par les limitations énergétiques rencontrées dans le secteur de l'intelligence artificielle.

Elon Musk, Jeff Bezos, and Sundar Pichai have engaged in discussions about the potential for lunar and orbital AI data centers. These centers could provide a consistent source of solar power while operating under fewer regulatory constraints. The exploration of this concept is driven by energy limitations faced in the artificial intelligence sector.

Elon Musk, Jeff Bezos, and Sundar Pichai have each discussed lunar and orbital AI data centers, which could offer steady solar power with fewer regulations (Tim Higgins/Wall Street Journal)

Bluesky is making moderation changes, including the addition of new reporting categories, strikes, and more clarity when communicating with users about violations.

تقوم Bluesky بتنفيذ تغييرات في الاعتدال تهدف إلى تحسين التتبع والشفافية. تشمل هذه التغييرات إضافة فئات جديدة للتقارير وتواصل أكثر وضوحًا مع المستخدمين بشأن الانتهاكات.

Bluesky está implementando cambios en la moderación con el objetivo de mejorar el seguimiento y la transparencia. Estos cambios incluyen la adición de nuevas categorías de informes y una comunicación más clara con los usuarios sobre las violaciones.

Bluesky met en œuvre des changements de modération visant à améliorer le suivi et la transparence. Ces changements incluent l'ajout de nouvelles catégories de signalement et une communication plus claire avec les utilisateurs concernant les violations.

Bluesky is implementing moderation changes aimed at enhancing tracking and transparency. These changes include the introduction of new reporting categories and clearer communication with users regarding violations.

Bluesky announces moderation changes focused on better tracking, improved transparency

According to Amazon, the feature "utilizes generative AI to create theatrical-quality season recaps with synchronized narration, dialogue, and music."

أعلنت أمازون أن خدمة برايم فيديو الخاصة بها ستتضمن ملخصات فيديو تم إنشاؤها بواسطة الذكاء الاصطناعي لبعض البرامج التلفزيونية. تستخدم هذه الميزة المبتكرة تقنية الذكاء الاصطناعي التوليدي لإنتاج ملخصات موسم بجودة سينمائية، مع سرد متزامن وحوار وموسيقى.

Amazon ha anunciado que su servicio Prime Video contará con resúmenes de video generados por IA para algunos programas de televisión. Esta innovadora función utiliza tecnología de IA generativa para producir resúmenes de temporada de calidad teatral, con narración, diálogos y música sincronizados.

Amazon a annoncé que son service Prime Video proposera des résumés vidéo générés par IA pour certaines émissions de télévision. Cette fonctionnalité innovante utilise la technologie de l'IA générative pour produire des résumés de saison de qualité théâtrale, avec narration, dialogues et musique synchronisés.

Amazon has announced that its Prime Video service will feature AI-generated video recaps for select TV shows. This innovative feature employs generative AI technology to produce theatrical-quality season recaps, complete with synchronized narration, dialogue, and music.

Amazon’s Prime Video is getting AI-generated Video Recaps for some TV shows

Poly's cloud based file storage system with AI-powered search lets you search through text, images, audio, and video.

أعادت شركة بولي إطلاق خدماتها كنظام تخزين ملفات مستضاف على السحابة يتضمن قدرات بحث مدعومة بالذكاء الاصطناعي. تتيح هذه المنصة الجديدة للمستخدمين البحث في أنواع مختلفة من المحتوى، بما في ذلك النصوص والصور والصوت والفيديو.

Poly ha relanzado sus servicios como un sistema de almacenamiento de archivos alojado en la nube que incorpora capacidades de búsqueda impulsadas por IA. Esta nueva plataforma permite a los usuarios buscar a través de varios tipos de contenido, incluidos texto, imágenes, audio y video.

Poly a relancé ses services en tant que système de stockage de fichiers hébergé dans le cloud, intégrant des capacités de recherche alimentées par l'IA. Cette nouvelle plateforme permet aux utilisateurs de rechercher à travers divers types de contenu, y compris du texte, des images, de l'audio et de la vidéo.

Poly has relaunched its services as a cloud-hosted file storage system that incorporates AI-powered search capabilities. This new platform allows users to search through various types of content, including text, images, audio, and video.

Elon Musk’s X botched its security key switchover, locking users out

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