GoPro finally has a new 360 camera. It looks like its old 360 camera. Can it compete with Insta360 in 2025?

أصدرت GoPro كاميرتها الجديدة بزاوية 360 درجة، GoPro Max 2، التي تحتفظ بتصميم مشابه لسابقتها. تثير المراجعة تساؤلات حول قدرتها التنافسية أمام Insta360 في السوق المتطورة لعام 2025.

GoPro ha lanzado su nueva cámara de 360 grados, la GoPro Max 2, que mantiene un diseño similar al de su predecesora. La reseña plantea preguntas sobre su competitividad frente a Insta360 en el mercado en evolución de 2025.

GoPro a lancé sa nouvelle caméra 360 degrés, la GoPro Max 2, qui conserve un design similaire à son prédécesseur. La critique soulève des questions sur sa compétitivité face à Insta360 sur le marché en évolution de 2025.

GoPro has released its new 360-degree camera, the GoPro Max 2, which retains a similar design to its predecessor. The review raises questions about its competitiveness against Insta360 in the evolving market of 2025.

GoPro Max 2 Review: Simplifies the 360-Degree Camera Experience

Apple has released a firmware update for a number of its accessories – here's how to check if you have it

أعلنت شركة آبل عن تحديث للبرامج الثابتة لعدد من ملحقاتها، بما في ذلك Magic Trackpad ولوحة المفاتيح. يمكن للمستخدمين التحقق مما إذا كانوا قد تلقوا التحديث لتحسين أداء أجهزتهم.

Apple ha anunciado una actualización de firmware para varios de sus accesorios, incluido el Magic Trackpad y el teclado. Los usuarios pueden verificar si han recibido la actualización para mejorar el rendimiento de sus dispositivos.

Apple a annoncé une mise à jour du firmware pour plusieurs de ses accessoires, y compris le Magic Trackpad et le clavier. Les utilisateurs peuvent vérifier s'ils ont reçu la mise à jour pour améliorer les performances de leurs appareils.

Apple has announced a firmware update for several of its accessories, including the Magic Trackpad and Keyboard. Users can check if they have received the update to enhance their device performance.

Your Apple Magic Trackpad and Keyboard just got a surprise firmware update

<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

فشلت محاولة ديزني لوقف Sling TV عن تقديم بطاقات البث القصيرة الأجل. تم رفض الطلب الأولي للشركة لوقف هذه البطاقات، مما سمح لـ Sling TV بمواصلة عروضها الترويجية.

El intento de Disney de detener a Sling TV de ofrecer pases de streaming a corto plazo ha fracasado. La solicitud inicial de la compañía para detener estos pases fue denegada, permitiendo a Sling TV continuar con sus ofertas promocionales.

La tentative de Disney d'arrêter Sling TV de proposer des passes de streaming à court terme a échoué. La demande initiale de l'entreprise pour interrompre ces passes a été rejetée, permettant à Sling TV de poursuivre ses offres promotionnelles.

Disney's attempt to stop Sling TV from offering short-term streaming passes has been unsuccessful. The company's initial bid to halt these passes was denied, allowing Sling TV to continue its promotional offerings.

Disney fails in initial bid to halt Sling TV's short-term streaming passes

Oracle&#8217;s $300B OpenAI bet has wiped $315B off its market value. Investors question the debt-fueled strategy as the company bets everything on one risky customer. When Oracle announced its $300 billion partnership with OpenAI in September, Wall Street threw a party. The stock surged 36%- Oracle&#8217;s best day since 1992. Four months later, the market &#8230; <a href="https://ciente.io/news/oracles-shares-are-collapsing-nearly-lost-315-billion-in-market-value-since-openai-deal/" class="more-link">Read More "Oracle&#8217;s Shares Are Collapsing, Nearly Lost $315 Billion in Market Value Since OpenAI Deal."</a>

أدت شراكة أوراكل مع OpenAI، التي تقدر قيمتها بـ 300 مليار دولار، إلى خسارة مذهلة بلغت 315 مليار دولار في القيمة السوقية. في البداية، احتفل المستثمرون بهذه الصفقة، لكن سرعان ما أثارت مخاوف بشأن اعتماد أوراكل الكبير على عميل واحد واستراتيجيتها المدفوعة بالديون. ارتفعت الأسهم بنسبة 36% عند الإعلان، لكنها شهدت منذ ذلك الحين انخفاضات كبيرة، مما دفع المستثمرين إلى التساؤل عن استدامة مثل هذا الاستثمار عالي المخاطر.

La asociación de Oracle con OpenAI, valorada en 300 mil millones de dólares, ha resultado en una pérdida asombrosa de 315 mil millones de dólares en valor de mercado. Inicialmente celebrada por los inversores, el acuerdo ha suscitado preocupaciones sobre la fuerte dependencia de Oracle de un solo cliente y su estrategia impulsada por la deuda. La acción, que aumentó un 36% tras el anuncio, ha enfrentado desde entonces caídas significativas, lo que lleva a los inversores a cuestionar la sostenibilidad de una inversión tan arriesgada.

Le partenariat d'Oracle avec OpenAI, évalué à 300 milliards de dollars, a entraîné une perte stupéfiante de 315 milliards de dollars en valeur boursière. Initialement célébré par les investisseurs, cet accord soulève des inquiétudes quant à la forte dépendance d'Oracle à un seul client et à sa stratégie d'endettement. L'action, qui a bondi de 36 % lors de l'annonce, a depuis connu des baisses significatives, incitant les investisseurs à remettre en question la viabilité d'un tel investissement à haut risque.

Oracle's partnership with OpenAI, valued at $300 billion, has resulted in a staggering loss of $315 billion in market value. Initially celebrated by investors, the deal has raised concerns about Oracle's heavy reliance on a single customer and its debt-driven strategy. The stock, which surged 36% upon announcement, has since faced significant declines, prompting investors to question the sustainability of such a high-stakes investment.

Oracle’s Shares Are Collapsing, Nearly Lost $315 Billion in Market Value Since OpenAI Deal.

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.

AMD will preview its Redstone upscaling tech on December 10

Akira claims LG Energy Solution breach, and says it stole 1.7TB of sensitive data.

زعمت مجموعة أكيرا مسؤوليتها عن هجوم فدية على شركة LG Energy Solution، مدعية أنها سرقت 1.7 تيرابايت من البيانات الحساسة من الشركة. تثير هذه الخرق مخاوف بشأن أمان البيانات وتأثيرها المحتمل على عمليات LG.

Akira ha reclamado la responsabilidad de un ataque de ransomware a LG Energy Solution, alegando que ha robado 1.7TB de datos sensibles de la empresa. Esta violación plantea preocupaciones sobre la seguridad de los datos y el impacto potencial en las operaciones de LG.

Akira a revendiqué une attaque par ransomware contre LG Energy Solution, affirmant avoir volé 1,7 To de données sensibles de l'entreprise. Cette violation soulève des inquiétudes concernant la sécurité des données et l'impact potentiel sur les opérations de LG.

Akira has claimed responsibility for a ransomware attack on LG Energy Solution, alleging that it has stolen 1.7TB of sensitive data from the company. This breach raises concerns about data security and the potential impact on LG's operations.

Ransomware attack hits LG battery subsidiary

The social media video platform is also working on improving labeling of AI-generated content.

تقوم تيك توك بإدخال ميزة جديدة تتيح للمستخدمين تقليل كمية المحتوى الذي يتم إنشاؤه بواسطة الذكاء الاصطناعي في خلاصة أخبارهم. تهدف هذه المبادرة إلى تحسين تجربة المستخدم من خلال منح الأفراد مزيدًا من التحكم في المحتوى الذي يواجهونه على المنصة.

TikTok está introduciendo una nueva función que permite a los usuarios reducir la cantidad de contenido generado por IA en sus feeds. Esta iniciativa tiene como objetivo mejorar la experiencia del usuario al proporcionar a los individuos un mayor control sobre el contenido que encuentran en la plataforma.

TikTok introduit une nouvelle fonctionnalité permettant aux utilisateurs de réduire la quantité de contenu généré par l'IA dans leurs fils d'actualité. Cette initiative vise à améliorer l'expérience utilisateur en offrant aux individus un meilleur contrôle sur le contenu qu'ils rencontrent sur la plateforme.

TikTok is introducing a new feature that allows users to reduce the amount of AI-generated content in their feeds. This initiative aims to enhance user experience by providing individuals with greater control over the content they encounter on the platform.

You'll Soon Be Able to Curtail AI Slop on TikTok With a New AI Slider

Proposed legislation in Michigan and Wisconsin claims to protect children, but could drive people to download malicious VPN apps.

تشير التشريعات المقترحة في ميشيغان وويسكونسن إلى حماية الأطفال، لكنها تثير مخاوف من أنها قد تدفع الناس إلى تحميل تطبيقات VPN ضارة، مما يعرض خصوصية الملايين للخطر. يجادل النقاد بأن هذه التدابير قد تسبب ضررًا أكبر من نفعها من خلال دفع المستخدمين نحو بدائل غير آمنة.

Una legislación propuesta en Michigan y Wisconsin tiene como objetivo proteger a los niños, pero genera preocupaciones de que podría llevar a la descarga de aplicaciones VPN maliciosas, poniendo en peligro la privacidad de millones. Los críticos argumentan que estas medidas podrían causar más daño que beneficio al empujar a los usuarios hacia alternativas inseguras.

Une législation proposée dans le Michigan et le Wisconsin vise à protéger les enfants, mais soulève des inquiétudes quant à la possibilité qu'elle incite au téléchargement d'applications VPN malveillantes, mettant en péril la vie privée de millions de personnes. Les critiques soutiennent que ces mesures pourraient causer plus de mal que de bien en poussant les utilisateurs vers des alternatives dangereuses.

Proposed legislation in Michigan and Wisconsin aims to protect children but raises concerns that it could lead to the download of malicious VPN applications, jeopardizing the privacy of millions. Critics argue that the measures may do more harm than good by pushing users towards unsafe alternatives.

As Lawmakers Take Aim at VPNs, the Privacy of Millions Could Be in Jeopardy

SAM 3 is all about visual intelligence, homing in on how AI can identify specific objects in an image.

قدمت ميتا نموذجها الجديد للذكاء الاصطناعي SAM 3، الذي يركز على الذكاء البصري، مما يعزز القدرة على تحديد كائنات معينة داخل الصور. تُستخدم هذه التكنولوجيا في أبحاث الحفاظ على الحياة البرية، مما يُظهر تطبيقاتها المحتملة خارج الاستخدامات التقنية التقليدية.

Meta ha presentado SAM 3, un nuevo modelo de IA centrado en la inteligencia visual, que mejora la capacidad de identificar objetos específicos en imágenes. Esta tecnología se está utilizando en la investigación de conservación de la vida silvestre, mostrando sus aplicaciones potenciales más allá de los usos tecnológicos tradicionales.

Meta a lancé SAM 3, un nouveau modèle d'IA axé sur l'intelligence visuelle, qui améliore la capacité à identifier des objets spécifiques dans les images. Cette technologie est utilisée dans la recherche sur la conservation de la faune, montrant ses applications potentielles au-delà des usages technologiques traditionnels.

Meta has introduced SAM 3, a new AI model focused on visual intelligence, which enhances the ability to identify specific objects within images. This technology is being utilized in wildlife conservation research, showcasing its potential applications beyond traditional tech uses.

GoPro Max 2 Review: Simplifies the 360-Degree Camera Experience

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