Photo Credit: Apple iOS 18.5 is epxected to be released in May, prior to Apple's WWDC 2025 Highlights iPhone users can toggle Contact Photos and Group by Sender in Mail app The update allows disabling of Group by Sender and AI messages features It brings an option to access device coverage details via Apple account Advertisement Apple on Tuesday released the iOS 18.5 Public Beta 1 update for the iPhone. It is said to be a minor update with only a handful of changes on offer. There are subtle changes to the Mail app and users can now choose to view Contact Photos within the email client. Further, the AppleCare information banner has been updated to provide a more comprehensive view of the purchased plan, in addition to an option which allows for its easy management. Notably, Apple seeded the iOS 18.5 Developer beta 2 recently.iOS 18.5 Public Beta 1 Update: What's NewiOS 18.5 Public Beta 1 carries similar changes which Apple introduced with the iOS 18.5 Developer Beta 1 earlier this month. However, these are all minor additions and no major changes have been made to any of the apps or features. As per 9to5Mac, it enables users to toggle Contact Photos from the interface of the Mail app by tapping the three-dot option from the top-right corner of the screen.This option was previously only available in the iPhone Settings app, but now gets a new shortcut in the Mail app too with the update. Additionally, users can also turn off Group by Sender, categories, and AI priority messages options in the app via the same three-dot menu.The update also reportedly brings visual enhancements to the AppleCare and Warranty Coverage page, with a new for AppleCare coverage appearing in the Settings app. To discover this, users need to navigate to Settings > General > AppleCare and Warranty. The new option enables them to learn more about the coverage they've purchased by tapping the link.With iOS 18.5 Public Beta 1, iPhone users can manage their AppleCare plan by heading over to their Apple Account and selecting a device from the device list. With WWDC 2025 on the horizon, Apple is expected to wind down work on the iOS 18 update and shift focus to development of new features for its upcoming OS which is ubiquitously known as iOS 19. However, official information remains under wraps. For the latest tech news and reviews, follow Gadgets 360 on X, Facebook, WhatsApp, Threads and Google News. For the latest videos on gadgets and tech, subscribe to our YouTube channel. If you want to know everything about top influencers, follow our in-house Who'sThat360 on Instagram and YouTube. Further reading: iOS 18, iOS 18.5, Apple, IPhone, iPhone Update, WWDC 2025, WWDC, iOS 19 Shaurya Tomer Shaurya Tomer is a Sub Editor at Gadgets 360 with 2 years of experience across a diverse spectrum of topics. With a particular focus on smartphones, gadgets and the ever-evolving landscape of artificial intelligence (AI), he often likes to explore the industry's intricacies and innovations – whether dissecting the latest smartphone release or exploring the ethical implications of AI advancements. In his free time, he often embarks on impromptu road trips to unwind, recharge, and ...More Related Stories

Game Industry and AI: How Computer Vision Is Shaping the Future of GamingAPI4AI·Follow19 min read·Just now--Introduction: The Evolving Role of AI in the Gaming LandscapeOver the past few decades, artificial intelligence has transformed from a behind-the-scenes algorithm into a central force shaping the modern gaming experience. In its early stages, AI in games was primarily used to control non-playable characters (NPCs), create basic decision-making logic or generate procedural content. These early applications brought depth and unpredictability to games, laying the groundwork for more immersive worlds. However, the capabilities of AI have rapidly expanded and today, it’s no longer just about making characters act smarter — it’s about revolutionizing how games are built, played and experienced.Among the most impactful branches of AI in gaming today is computer vision — a technology that enables machines to understand and interpret visual data from the world around them. Unlike traditional AI methods that rely on pre-programmed logic or statistical predictions, computer vision allows games to see, recognize and respond to real-world images, objects and environments in real time. This unlocks entirely new forms of interaction. Imagine a game that customizes your avatar based on a live facial scan or a mobile AR game that reacts to the objects in your living room. These are no longer futuristic ideas — they are becoming mainstream.The reason computer vision stands out is that it bridges the gap between the physical and digital worlds. It brings human-like perception to gaming systems, enabling context-aware gameplay and more natural user engagement. Whether it’s motion tracking for VR games, automatic object detection for AR puzzles or real-time moderation of user-generated content, the applications are diverse and constantly evolving.In such a fast-paced industry, staying current with these technological advancements is not just optional — it’s essential. Gamers expect innovation and competition in the market is fierce. Studios that adopt cutting-edge AI technologies like computer vision gain a clear advantage: they can deliver more dynamic, personalized and interactive experiences. Meanwhile, those who lag behind risk creating products that feel outdated or unengaging.As we move deeper into an era defined by immersion and interactivity, understanding and leveraging the power of computer vision is becoming a key strategy for developers, publishers and gaming platforms alike. It’s not just about building smarter games — it’s about reimagining what games can be.Understanding Computer Vision and Its Influence on Game DevelopmentComputer vision is more than a buzzword in the tech world — it’s a transformative technology that’s redefining how games are created, played and experienced. In this section, we’ll dive deep into what computer vision really is, how it powers real-time interactions and the practical ways developers are leveraging it to push the boundaries of game design.What Is Computer Vision?At its core, computer vision is a field of artificial intelligence that enables machines to interpret and understand visual data from the world. Much like how the human brain processes what we see, computer vision systems use algorithms and models to analyze images and video in order to identify, track and classify objects, people and environments.This process typically involves several stages:Image acquisition from a camera or sensorPreprocessing to clean and normalize visual dataFeature extraction to detect shapes, colors and texturesObject recognition and classification using machine learning modelsContextual analysis to understand relationships between elements in the sceneBy combining these capabilities, a computer vision system can make sense of complex visual environments — recognizing faces, detecting motion, understanding gestures or even reading text. And all of this can happen in real time, with astonishing speed and accuracy.The Power of Real-Time Image ProcessingIn gaming, speed is everything. Whether it’s an action-packed shooter or an immersive VR experience, games need to respond to player input instantly. That’s where real-time image processing becomes crucial.Real-time computer vision allows games to analyze live video feeds and generate dynamic responses on the fly. This means a game can “see” what a player is doing through a camera, interpret that action and immediately reflect it in the game environment.Some key technologies enabling this include:Convolutional Neural Networks (CNNs) trained on large datasets to recognize visual patternsEdge computing to reduce latency by processing data close to the sourceOptimized APIs that make integration with game engines smoother and more scalableThe result is a more fluid, intuitive and immersive gaming experience that reacts to players in ways that were once only possible in science fiction.Real-World Applications in Game DevelopmentGame developers are already using computer vision to revolutionize gameplay across multiple genres and platforms. Let’s look at a few practical examples of how this technology is being used:1. Augmented Reality (AR) OverlaysAR games like Pokémon GO rely on computer vision to understand the user’s environment. The system identifies surfaces, objects and lighting conditions so digital characters can interact with the real world in believable ways. Advanced AR titles go even further — allowing characters to hide behind furniture, respond to obstacles or adjust their behavior based on real-world context.2. Motion Tracking and Gesture ControlComputer vision enables full-body motion tracking, allowing players to use natural gestures as controls. In VR fitness games, for instance, a player’s punches or squats are captured via a camera and translated into in-game actions. This eliminates the need for traditional controllers and creates a more physically engaging experience.3. Facial Recognition for PersonalizationSome games use facial scanning to create lifelike avatars that mirror the player’s own face. Others analyze facial expressions in real time to adjust gameplay — such as adapting the difficulty level if a player appears stressed or frustrated.4. Object and Scene RecognitionPlayers can scan real-world objects to import them into a game or solve puzzles based on their surroundings. Computer vision allows games to interpret entire scenes, enabling location-aware gameplay that changes based on where the user is or what they’re looking at.5. Environmental Awareness for ImmersionLighting, shadows and spatial awareness all contribute to realism. By analyzing the player’s environment, games can adjust these elements to make the digital world feel more grounded and responsive.A New Era of Game DesignWith computer vision, the rules of game development are evolving. Games no longer rely solely on scripted interactions or predefined assets. Instead, they respond to the player’s world — making each session more dynamic, personal and unpredictable.For developers, this means greater creative freedom but also new challenges in performance optimization, privacy management and hardware compatibility. Yet, the potential payoff is enormous: games that blur the lines between reality and fiction and experiences that feel alive, aware and tailored to each individual.As computer vision technology becomes more accessible — through cloud-based APIs, game engine integrations and open-source libraries — more developers are jumping on board. It’s not just the future of gaming. It’s happening now.Top Trends and Use Cases in Computer Vision for GamingComputer vision is not just a supporting tool in game development — it’s quickly becoming a key driver of innovation across multiple areas of gameplay. From enhancing immersion to enabling real-world interaction and ensuring safer gaming environments, this technology is opening up new creative possibilities. Below are three of the most impactful trends and practical use cases that show how computer vision is shaping the future of gaming.Character Customization and Immersive AR/VR ExperiencesOne of the most noticeable impacts of computer vision in gaming is how it transforms character creation and in-game interactions. Facial recognition and body tracking are now being used to personalize avatars and make games more immersive than ever before.Facial recognition allows players to scan their faces using a webcam or smartphone camera, generating highly realistic avatars that reflect their real-world appearance. This level of personalization goes far beyond choosing from a preset list of characters — it gives players a sense of ownership and identity within the game world.Body tracking takes things even further by capturing full-body motion in real time. Instead of relying solely on a joystick or controller, players can use their physical movements to navigate virtual spaces, interact with objects and even perform complex gestures. This is especially valuable in VR games, where immersion depends on natural input and seamless feedback.In augmented reality (AR) games, computer vision enables the environment to respond to players’ movements and surroundings. The system can detect walls, furniture or open space, allowing game elements to interact with the real world in smart, believable ways. Whether it’s a virtual pet walking around your living room or an action game where enemies hide behind real objects, this responsiveness creates a layer of realism that traditional gaming can’t offer.Enhanced Player Engagement with Object RecognitionAnother exciting trend is the use of object recognition to create deeper interaction between the game and the player’s physical environment. Through advanced image recognition techniques, games can now identify real-world items using a device’s camera and use that information to trigger actions, reveal content or progress the storyline.For example, puzzle games can ask players to find and scan certain household objects to unlock clues. Educational games might detect real books or tools to enhance learning. This brings a tactile, engaging experience to players — bridging the digital and physical in a fun and interactive way.Some developers are even exploring ways for players to scan toys or collectible items and import them directly into a game. Once recognized, these objects can take on a virtual form and become usable elements within the gameplay — turning everyday items into interactive game assets.This level of engagement makes games feel more alive and personal. It also opens doors for hybrid experiences where physical products are tied into the digital ecosystem, creating new opportunities for monetization, storytelling and brand integration.Safety, Moderation and Regulatory ComplianceAs games become more socially connected and open to user-generated content, moderation and privacy protectionhave become critical. Computer vision plays a key role in ensuring that gaming environments remain safe, inclusive and compliant with content guidelines.One of the most effective tools in this space is automated NSFW recognition, which can detect inappropriate or explicit visuals in real time. This is particularly important for platforms that host live video feeds, allow custom uploads or enable streaming. Instead of relying on manual reviews, which are time-consuming and expensive, AI-powered moderation ensures quick, consistent enforcement of content rules — helping to maintain a family-friendly experience for all users.In addition to moderation, face anonymization tools are increasingly used in e-sports, live streams and video-based interactions. These tools automatically blur or mask personal features to protect players’ identities, which is especially important when broadcasting gameplay involving minors or in regions with strict privacy laws. It also enables safer sharing of screenshots and recordings across social platforms.By automating these processes, developers can reduce operational overhead, stay compliant with global regulations and protect their users — without sacrificing the openness and creativity that make gaming communities thrive.Together, these trends show how computer vision is evolving from a background feature to a core component of modern game development. Whether it’s creating highly personal experiences, blending physical and digital play or safeguarding online environments, this technology is fundamentally changing the way games are imagined and built.The Business Edge: Efficiency, Monetization and User RetentionWhile the creative benefits of computer vision in gaming are often in the spotlight, its business impact is just as powerful. Game studios and platforms are increasingly adopting this technology not only to enhance gameplay but also to streamline operations, improve revenue models and keep players engaged for longer periods. Let’s explore how computer vision delivers tangible value on the business side of the gaming industry.Streamlining Game Development and OperationsBehind every great game is a mountain of assets, data and administrative workflows. Managing these efficiently is critical, especially in large-scale or multiplayer games. Computer vision helps automate several time-consuming processes that traditionally require manual effort.Asset management is one key area. Developers often work with thousands of images, animations and environment textures. Computer vision tools can automatically sort, tag and organize these visual assets using image labeling and classification techniques. This not only saves time but also reduces errors and keeps large projects running smoothly.In user identity verification, computer vision can be used to recognize faces, match profile images or detect fraudulent behavior. This is particularly useful in social gaming platforms or competitive e-sports, where verifying the authenticity of players is essential for fairness and security.Real-time analytics powered by visual recognition can also provide developers with deeper insights into how players interact with the game. For instance, tracking where users look in a VR game or how they move within a level helps fine-tune design and improve user experience. This kind of visual telemetry offers rich, actionable data that complements traditional gameplay metrics.Smarter Monetization Through Visual IntelligenceMonetization is a critical component of game development and computer vision opens up new opportunities for revenue generation through smart, visually-driven strategies.One of the most promising applications is brand recognition. Using logo detection and object identification, games can dynamically place branded content — like billboards, clothing logos or product placements — within the game environment in a way that feels natural and contextually relevant. This not only enhances realism but also creates a new advertising channel that can be tailored to individual users.In addition, targeted in-game marketing becomes possible when visual data is combined with player behavior. If a system can recognize the items a player interacts with most or their preferred visual themes, it can offer personalized recommendations or promotions — ranging from custom skins to DLC content. This level of relevance increases the chances of conversion and makes monetization feel less intrusive.Boosting User Retention with Personalization and SafetyKeeping players engaged over the long term is one of the biggest challenges in the industry. Computer vision helps address this by enabling richer, more personalized experiences and by maintaining a safe, welcoming environment for all users.Personalized avatars, responsive environments and adaptive gameplay — made possible by facial recognition, motion tracking and real-world object detection — make players feel more connected to the game. When users see their real-world features or actions reflected in the game, it deepens immersion and emotional investment.At the same time, moderated gameplay environments, supported by tools like NSFW recognition or face anonymization, create a more inclusive and secure space. This is especially important in multiplayer games, online communities and e-sports events, where maintaining trust and safety is essential for long-term engagement.When players feel both seen and protected, they are more likely to return, recommend the game to others and even invest more in additional content or premium features.In short, computer vision isn’t just changing how games look and feel — it’s reshaping how they’re built, sold and sustained. For developers, publishers and platform owners, it offers a competitive advantage across every stage of the gaming lifecycle — from development to deployment to long-term user engagement.From Off-the-Shelf APIs to Custom SolutionsAs the demand for smarter, more immersive gaming experiences continues to grow, developers are faced with a key decision: whether to integrate ready-made computer vision tools or invest in building custom solutions. Fortunately, the rise of cloud-based AI services has made advanced image processing more accessible than ever before. Whether you’re an indie developer or a large studio, there’s a wide range of tools available to bring computer vision features into your game with minimal effort.Ready-to-Go APIs: Quick Wins with Powerful CapabilitiesOff-the-shelf APIs are pre-built, cloud-hosted solutions that handle specific computer vision tasks out of the box. These APIs are ideal for developers who want to integrate AI functionality quickly without building their own models from scratch.For example:An OCR (Optical Character Recognition) API can be used to extract text from in-game signs, menus or documents — great for puzzle games, hidden-object titles or accessibility features.A Background Removal API enables dynamic profile creation by isolating a player’s face or body from their background. This is particularly useful for streaming avatars, game profile pictures or AR-based character creation.Image Labeling APIs and Object Detection APIs are used to identify specific in-game items or environmental elements, enabling smarter in-game interactions and dynamic storylines.These tools require minimal setup and are highly scalable. They can be accessed via a simple API call, allowing even small teams to implement features that were once reserved for AAA studios.Real-World Tools from Providers Like API4AISeveral providers offer a robust collection of ready-to-use APIs specifically tailored to computer vision applications in gaming and beyond. One such provider is API4AI, which offers a comprehensive suite of image processing APIs designed to solve real-world challenges.Examples include:OCR API: Perfect for reading and interpreting in-game text or scanned content within AR experiences.Image Labeling API and Object Detection API: These are powerful tools for identifying game assets or adapting environments based on player surroundings, enabling context-aware gameplay.NSFW Recognition API: Ensures safer, moderated experiences by automatically detecting and filtering inappropriate content in user-generated images or livestreams.These APIs are maintained and regularly updated, making them a reliable choice for teams that want to integrate AI without committing to full-scale development.When to Go Custom: Tailoring Vision to Game-Specific NeedsWhile off-the-shelf APIs are flexible and efficient, they may not always fit perfectly into every project. Some game mechanics, art styles or use cases require a higher level of customization than generic APIs can provide.This is where custom computer vision solutions come into play. By developing tailored models that are trained on your specific data — such as stylized graphics, unique object types or proprietary interaction logic — you can create a system that responds with exceptional accuracy and speed.The long-term benefits of going custom include:Reduced operational costs: Once deployed, a custom model can be optimized for your exact use case, eliminating the overhead of unnecessary features.Greater profitability: Personalized and performant experiences attract more users, drive engagement and increase in-game purchases or subscriptions.A competitive edge: Custom vision features — such as real-time AR world-mapping or stylized character tracking — can become a defining element of your game, making it stand out in a crowded market.Custom solutions also offer flexibility for future expansion. As your game grows, you can refine the model further, integrate new features and adjust to player feedback without relying on third-party update cycles.Whether you’re integrating quick, powerful APIs or building a specialized system from the ground up, computer vision offers a path to smarter development and more engaging gameplay. The key is knowing when to choose convenience, when to invest in customization — and how to combine both for the best results.Implementation Roadmap and Key ConsiderationsIntegrating computer vision into a game is an exciting step toward delivering more immersive, intelligent and interactive experiences. However, the process requires careful planning — both technically and ethically. From selecting the right tools to ensuring user privacy and optimizing for performance, developers must navigate several important factors to make their vision a reality. This section provides a detailed roadmap and highlights key considerations to keep in mind when bringing computer vision into your gaming project.Step-by-Step Technical RoadmapThe first step in any successful integration is choosing the right development tools and frameworks. Popular game engines like Unity and Unreal Engine support plugins and SDKs for AI and computer vision, making them a natural starting point. These platforms allow developers to embed vision-based features such as facial recognition, gesture tracking or object detection directly into the game loop.Next, a data processing pipeline must be established to handle image or video input from the user. This pipeline typically involves:Data capture from a webcam, camera sensor or mobile device.Preprocessing the images (e.g., resizing, filtering or normalization).API integration or custom model execution to interpret the visual data.Real-time feedback sent back to the game engine to trigger events or change game states.Developers can choose between on-device processing for faster response and cloud-based APIs for more powerful computation. For lightweight applications, cloud APIs are often sufficient and easier to scale, while real-time, latency-sensitive applications (like VR gesture controls) may benefit from edge computing or embedded AI models.Testing and iteration are crucial. Vision models should be trained and tested on visuals that match the game’s aesthetic and expected environments (e.g., lighting conditions, character styles). This ensures accuracy and reduces false positives or inconsistent behavior during gameplay.Data Privacy and Ethical ConsiderationsAs computer vision technology enables more personalized and data-driven experiences, it also raises important questions about user privacy and ethical design.Facial recognition, scene scanning and other real-time tracking methods often involve processing sensitive visual data. Developers must consider how this data is handled — whether it is stored, transmitted or discarded after use. Following principles of privacy by design is essential. This includes:Informing players what data is being collected and how it’s used.Avoiding unnecessary data retention.Anonymizing data whenever possible.Ensuring compliance with regulations like GDPR and COPPA, especially in games used by minors.Ethical considerations also go beyond compliance. For example, developers should ensure that vision features work equitably across diverse users and environments. A system that only performs well under specific lighting or with certain skin tones can lead to biased outcomes and player frustration. Responsible testing and inclusive design practices can help prevent this.Overcoming Common ChallengesImplementing computer vision in games is powerful — but not without its challenges.1. Hardware constraintsNot all users have the same devices. A feature that works smoothly on a high-end gaming PC may not perform well on older mobile phones or VR headsets. Developers must account for varying device capabilities and consider offering scalable visual features with fallbacks for lower-end hardware.2. Performance optimizationReal-time vision processing can be resource-intensive. Models must be optimized to run efficiently within the game engine’s render loop. Techniques such as model quantization, frame skipping or resolution scaling can help reduce load while maintaining functionality.3. Low latency requirementsFor motion tracking and AR/VR experiences, even slight delays can break immersion or cause motion sickness. Minimizing latency is critical, which often means choosing edge processing over cloud APIs or using lightweight models that prioritize speed over absolute accuracy.4. Maintenance and updatesAs with any AI-based feature, vision systems need regular updates to remain accurate. This may include re-training models, updating API endpoints or refining logic based on player feedback and new hardware developments.Bringing computer vision into your game is a journey that blends creativity with technical precision. With a clear roadmap, thoughtful attention to user privacy and awareness of performance challenges, developers can build engaging, responsive and responsible gaming experiences that truly stand out in the market.Future Outlook and ConclusionAs we look ahead, it’s clear that computer vision is set to play an even more influential role in shaping the future of gaming. While current applications like facial recognition, motion tracking and object detection have already transformed how players interact with games, the next wave of innovation promises to blur the boundaries between the physical and digital worlds in ways we’re only beginning to imagine.Emerging Possibilities: Mixed Reality, the Metaverse and BeyondOne of the most exciting frontiers is mixed reality gaming, where real and virtual environments blend seamlessly. Computer vision enables devices to understand the player’s physical surroundings — detecting surfaces, obstacles and objects in real time. This allows digital content to be placed contextually in the real world, creating deeply interactive and personalized gaming experiences. Games will no longer be confined to screens or predefined virtual spaces — they will adapt dynamically to the player’s environment, transforming any room into a playable arena.At the same time, metaverse platforms are rapidly evolving, with a focus on shared virtual spaces where players socialize, create and compete. Computer vision contributes to this shift by enabling realistic avatars, live facial expression mapping and real-world object scanning. In the future, we may see games where your digital persona mirrors your real-world appearance and gestures with stunning accuracy — or where physical objects you own can be scanned and turned into functional game assets in shared digital worlds.These developments are moving us toward next-generation immersion — a form of gaming where the experience is continuous, context-aware and highly personal. It’s not just about better graphics or faster processors; it’s about making the game environment responsive to who the player is and how they move through their world.Why Continued Innovation in Computer Vision MattersInnovation in computer vision is not just about adding flashy features — it’s about redefining the relationship between players and games. As the technology becomes more advanced, it opens the door to smarter storytelling, more inclusive experiences and greater creative expression for both developers and users.For example:Developers can build games that adapt in real time to player reactions or behavior.Players with physical limitations can access new types of control systems powered by gestures or eye movement.Content moderation can be automated to create safer community spaces without human overhead.These innovations make games not only more engaging but also more accessible, dynamic and sustainable.Positioning Your Strategy: Staying Ahead with AIFor studios, publishers and indie developers alike, the key to success in this evolving landscape is strategic adoption of AI-powered tools. Whether integrating off-the-shelf APIs for quick feature deployment or investing in custom solutions tailored to your game’s unique needs, computer vision should be seen as a foundational technology — not a gimmick.Start by identifying which vision features align best with your game’s core mechanics. Then evaluate the right mix of existing services and custom development that fits your budget, timeline and creative vision. And most importantly, stay informed. The tools and possibilities are expanding rapidly and being early to adopt the right solution can offer a major competitive advantage.In conclusion, the combination of artificial intelligence and computer vision is no longer just a technical upgrade — it’s a creative opportunity. It empowers developers to build games that see, respond and evolve in real time, turning passive experiences into active, living worlds. Those who embrace this transformation today are not just keeping up — they’re helping define the future of gaming.Source | API4AI Blog

Just curious as to what Era thinks on this. I for one, love them.

While OpenAI has been completely focusing on expanding and extending its technology to wider markets by constantly introducing new models and updates, the competition in the industry is getting fierce, especially with Chinese players grabbing quite the attention. After DeepSeek's growing popularity, the ChatGPT maker has become more aggressive with its approach. It recently introduced GPT-4.1 and is working on advanced reasoning models. Now, OpenAI is reportedly working on a new social media platform that is said to be similar to X and mirror the same format. OpenAI is said to be working on its own social media platform similar to X OpenAI has undoubtedly revolutionized AI and the potential of the technology, and its ambitious approach keeps emphasizing how the company is here to expand itself in varied domains. While we have been hearing about the company working on super AI agents and advanced reasoning models, many sources say it is now moving in a different direction by working on a social media platform similar to X. While the project is said to be still in the works and in the early stages, an internal prototype is said to be tested for a social media feed that is built around ChatGPT's image-generation tools. Varied sources report that OpenAI's CEO Sam Altman has been discreet about it and is seeking advice from people about the platform. While there is ambiguity regarding whether OpenAI will launch the social feed as part of ChatGPT or whether it will be a dedicated app, the company pivoting in this direction could change how content is consumed online. OpenAI has not given any official statement on the ongoing development and is yet to confirm the project, but if it is to launch the platform, it could not only change the dynamics of the market but also intensify its rivalry with Elon Musk. It has not been long since Musk offered to buy OpenAI for about $97.4 billion, to which Sam Altman not only rejected but replied in a witty manner by saying, No thank you, but we will buy Twitter for $9.74 billion if you want. OpenAI moving in this direction would increase user engagement and could be a significant step in AI development, given how others in the industry benefit from real-time information generated by users to train their AI models. The company could greatly be at an advantage with access to user-generated content that could help its models further. OpenAI would be setting itself apart from other platforms through higher-quality content. By creating such a platform, the company would expand its ecosystem and also could shake the position of the biggest social media players in the industry. Deal of the Day

مراسلو الجزيرة نتمجالس الصلح في سوريا.. تساند القضاء وتحل النزاعات وديامجلس صلح دوما يعد نموذجا مهما في حل خلافات الناس ونزاعاتهم (مواقع التواصل)شام السبسبي16/4/2025ريف دمشق – بهدف تسوية النزاعات الأهلية والمجتمعية والتحكيم العادل في القضايا العالقة بين المتنازعين، شكَّل وجهاء وحقوقيون وزعماء دينيين مجالس صلح عامة في مدن وبلدات سورية، ويزاول عدد من تلك المجالس أعماله بالتنسيق مع النيابة العامة التابعة لوزارة العدل السورية. ويعد مجلس الصلح في مدينة دوما، إحدى ضواحي دمشق ومركز ريفها، مثالا نموذجيا لتلك المجالس، حيث شُكّل في فبراير/شباط الماضي وتمكن حتى الآن من التسوية والفصل في عشرات القضايا المعروضة عليه من قبل الأهالي في الغوطة الشرقية. ويضم المجلس قضاة ومحامين وزعماء دينين ورجال أعمال، ويعمل على تجاوز إرث التفرقة الذي خلَّفته سياسات النظام السوري المخلوع بين السوريين على مدى 14 عاما، وعلى احتواء الصراعات المختلفة التي نشأت بعد سقوط بشار الأسد في 8 ديسمبر/كانون الأول الماضي، وعودة آلاف المهجرين لمنازلهم في ريف دمشق. مجالس الصلح تعمل على حل النزاعات بين السوريين (الصحافة السورية) بالود والرحمة ويهدف مجلس الصلح لإعادة بناء الثقة بين كافة مكونات المجتمع السوري، وتجاوز التحديات الراهنة، وإرساء قواعد تضمن استمرارية المسار الإصلاحي بعد انتصار الثورة السورية، وذلك بالاعتماد على مجموعة من الخبرات المحلية في دوما. وحول أسباب تأسيس مجلس الصلح في دوما، يقول مؤسس المجلس المهندس نزار الصمادي إن "الدافع الأساسي يكمن في إرساء الصلح المجتمعي لأهميته في بناء مجتمع مستقر وتعزيز السلم الأهلي بعد انتصار الثورة في سوريا". ويضيف الصمادي للجزيرة نت أن ذلك يتم "عبر حل الخلافات التي نشأت جراء انقسام المجتمع في سوريا بين مؤيد ومعارض بسبب الدور الخبيث الذي لعبه النظام البائد عبر تكريس الخلافات الأفقية بين السوريين في المجتمع والبلدات وحتى ضمن أفراد الأسرة الواحدة". إعلان ويتابع أن المجلس يعمل على تكريس الصلح الذي ينهي الخلافات بين المتخاصمين بطرق "ودية وبناء على مبادئ العدل والرحمة والحكمة". كما أن المجلس قد يلجأ للتحكيم، إذا استحال الصلح بين المتخاصمين، وسيلةً لحل النزاعات خارج المحاكم القضائية بتنسيق مع النيابة العامة التي تجعل من قرار المجلس "ملزما" عند حضور الطرفين وتوقيعهما على صك القبول. ويؤكد الصمادي أنه تم اختيار أعضاء المجلس بعناية، حيث يتألف من 16 شخصا، مقسمين لثلاث لجان، وكل لجنة تضم زعيما دينيا ومحكّما وقانونيا (قاضيا أو محاميا) وخبيرا عقاريا إضافة لأحد وجهاء البلدة. وعن آليات التحكيم، يقول الصمادي إنها تبدأ بتوقيع الطرفين المتنازعين على صك تحكيم يقضي بقبولهما حكم المجلس، ومن ثم تُدون الوقائع بين المتخاصمين، والاستماع للشهود وجميع الأطراف قبل اللجوء إلى الصلح أو إصدار الحكم. وتأتي أهمية المجلس من التزامه بمبدأ تغليب الصلح ما استطاع أعضاؤه ذلك، وحل القضايا في وقت قصير نسبيا مقارنة بالمحاكم، وتسهيل الإجراءات القانونية، وتقليل التكاليف الباهظة لإجراءات المحاكم، وتخفيف العبء عن الجهات المختصة. "الملكية" أكثر النزاعات ويقول محمود هارون، أحد أعضاء مجلس الصلح، للجزيرة نت إن "الخلافات كبيرة بين الناس، وهناك ضغط كبير على القضاء، ولذلك أنشئ المجلس، وأهم ما نلتزم به هو إرضاء طرفي النزاع قدر المستطاع، وأن يُلزم الحل أو الحُكم كليهما". واستقبل المجلس منذ إنشائه قضايا مختلفة شملت خلافات أسرية، وفض شراكات، وقضايا اقتتال، ونزاعات ملكية، وحوادث سير، وهي قضايا "حُلّت أغلبها بفضل الله"، حسب هارون. في حين يشير نزار الصمادي إلى طغيان "نزاعات الملكية" على سائر القضايا الأخرى المعروضة على المجلس، وذلك بسبب مرسوم فرضه "النظام البائد" كان يقضي بعدم الاعتراف بعقود البيع والشراء التي صدرت في المناطق الخارجة عن سيطرته عام 2012. إعلان ويضيف الصمادي، الذي ترأس بلدية دوما وكان عضوا في المجالس المحلية في الغوطة الشرقية عندما سيطر عليها الثوار، أنهم عملوا آنذاك على تسجيل تلك العقود في حينها، لكن مع عودة الغوطة الشرقية لسيطرة النظام عام 2018، ألغى الأخير كافة العقود التي أشرفت عليها المجالس المحلية. ويقول "كما زوَّر كثير من ضعاف النفوس عقود بيع وشراء ظنا منهم أن المُهجَّرين قسرا لن يعودوا إلى بلداتهم، لهذا تأتينا الكثير من نزاعات الملكية". وإلى جانب قضايا الملكية، هناك شكاوى مرتبطة بصراعات بين المؤيدين والمعارضين للنظام السابق، وقضايا خلاف أسري، التي يلجأ المجلس إلى التحكيم فيها وفق مبدأ "إمساك بمعروف أو تسريح بإحسان"، مما يسهم في بناء مجتمع مستقر انطلاقا من الأسرة وصولا إلى الدوائر الكبرى كحل الخلافات والنزاعات بين بلدات بأكملها. ويختلف هذا المجلس عن مجالس الصلح الأخرى التي تأسست بعد سقوط النظام بسبب دمجه لجان المصالحة مع التحكيم في آن واحد، في حين تعتمد المجالس الأخرى على إجراءات الصلح فقط، وقد لا تتضمن اختصاصين أو تحكيما ملزما. مهام المجالس وتشهد مدن وبلدات عدة في سوريا إنشاء مجالس صلح عام منذ سقوط نظام بشار الأسد، كمجلس الصلح في ناحية الحمراء في ريف حماة الشرقي، ومجلس الصلح في منطقة الصبيخان في محافظة دير الزور، ومجلس الصلح في منطقة السفيرة في محافظة حلب. وتعمل معظم هذه المجالس بالتنسيق مع "مجلس الصلح العام" في منطقة حارم بمحافظة إدلب، والذي تم تأسيسه مطلع عام 2024 بالتنسيق مع الجهات المختصة في مدينة إدلب التي كانت حينها تخضع لسيطرة فصائل المعارضة السورية المسلحة. ويحدد مجلس الصلح العام مهامه في تعزيز القيم الإسلامية والأخلاقية كالعفو والتعاون والتسامح والمودة، واحتواء النزاعات وحلها بعيدا عن العنف، وتعزيز وحدة وتماسك أفراد المجتمع والحفاظ على توازنه، وتخفيف العبء عن دُور القضاء ومنحها تركيزا أكبر للتعامل مع القضايا الكبرى، ونبذ الكراهية والتعصّب ونشر ثقافة التسامح والتعايش بين الأهالي، وتقليل الكلفة المادية للقضايا التي يكون المال شرطا لحلها. إعلان كما تعزز هذه المجالس الاستقرار في عموم سوريا، وتنشر ثقافة حل المنازعات بالطرق السلمية دون الانجراف للعنف، وذلك في ظل جمود مسار العدالة الانتقالية الرسمية في بلاد مزقتها الحرب، وفرَّقت وخلقت العداوات بين سكانها طيلة 14 عاما. المصدر : الجزيرة

بلغت أسعار الذهب أعلى مستوى لها على الإطلاق، اليوم،  بعد أن زاد ضعف الدولار وتصاعد التوتر التجاري ومخاوف النمو الاقتصادي العالمي الطلب على المعدن النفيس الذي يعد ملاذا آمنا. وارتفع سعر الذهب في المعاملات الفورية 1.3 بالمئة إلى 3270.12 دولار للأوقية (الأونصة) عند الساعة 03:19 بتوقيت جرينتش. وكان قد بلغ ذروته عند 3275.20 دولار للأوقية في وقت سابق من الجلسة. ارتفعت العقود الآجلة الأمريكية للذهب 1.4 بالمئة إلى 3286.30 دولار. وقال تيم ووترر كبير محللي السوق في (كيه.سي.إم تريد): "تضافر عوامل مثل انخفاض قيمة الدولار واستمرار العزوف عن المخاطرة يصب في صالح الذهب". انخفض مؤشر الدولار 0.4 بالمئة مقابل منافسيه، مما زاد من جاذبية الذهب لحاملي العملات الأخرى. وفي ظل تصاعد التوتر التجاري بين الولايات المتحدة والصين، أعلنت إنفيديا، أمس الثلاثاء، أنها ستتحمل تكاليف 5.5 مليار دولار بعد أن حدت الحكومة الأميركية من صادرات شريحتها للذكاء الاصطناعي (إتش20) إلى الصين. إضافة إلى ذلك، أمرت الصين شركات الطيران التابعة لها بعدم استلام أي شحنات إضافية من طائرات بوينج ردا على فرض الولايات المتحدة رسوما جمركية 145 بالمئة على السلع الصينية. وقال برايان لان، المدير الإداري لشركة جولد سيلفر سنترال للتداول في سنغافورة "سيظل الذهب قويا في ظل استمرار عدم اليقين". وينظر إلى الذهب تقليديا كملاذ آمن للاستثمار في أوقات عدم اليقين الجيوسياسي والاقتصادي، وسجل مستويات قياسية مرتفعة متعددة هذا العام الذي قفز خلاله بأكثر من 24 بالمئة. ويترقب المستثمرون الآن بيانات مبيعات التجزئة الأميركية، المقرر صدورها في وقت لاحق اليوم، والتي تتناول رؤى عن الاقتصاد ومسار السياسة النقدية لمجلس الاحتياطي الاتحادي (البنك المركزي الأميركي). ويتوقع المتعاملون حاليا خفض المجلس أسعار الفائدة 87 نقطة أساس تقريبا بحلول نهاية 2025. وعلى صعيد المعادن النفيسة الأخرى، ارتفع سعر الفضة في المعاملات الفورية 0.1 بالمئة إلى 32.32 دولار للأوقية، وانخفض سعر البلاتين 0.3بالمئة إلى 956.64 دولار واستقر سعر البلاديوم عند 971.10 دولار.

Best Buy is running a site-wide Spring Sale until April 20, offering major discounts on everything from video games, TVs, and computers to Apple devices, cameras, audio gear, and more. We've dug through the sale to round up a list of our favorite video game deals from the sale, but you'll also want to check out Best Buy's full Spring Sale page to see even more discounts in other categories.See More Best Buy Spring Sale DealsGaming DealsApple Device DealsLaptop & Computer DealsTV & Projector DealsSmartphone DealsTablet & Mobile Device DealsHeadphone DealsSound Bar & Speaker DealsCamera DealsAs for the gaming deals, you'll find price cuts to hardware and games at Best Buy this week. Some notable hardware deals include Arcade1Up's Pac-Man Deluxe Arcade Machine, which is available for $450 (was $500). The machine recreates the classic look of the original Pac-Man arcade cabinet with modern touches like online leaderboards and a 17-inch 1080p screen, and comes with 14 games preloaded on the cabinet. Fans of handheld gaming can grab the Lenovo Legion Go Z1 Extreme with 16GB RAM and 1TB SSD for $650 (was $750), and anyone looking for a comprehensive entrypoint into VR can grab the Meta Quest 3S bundle that includes Batman: Arkham Shadow and a 3-month trial subscription of Meta Quest+ in two models. The 128GB version is $270 (was $300), and the 256GB model is $370 (was $400).Console players can pick up numerous PS5, Xbox Series X, and Nintendo Switch games as big discounts, too. Fans of survival horror will want to grab the Alan Wake 2 Deluxe Edition--which gets you the base game and all DLC--while it's just $45 on PS5 and Xbox, and last year's Silent Hill 2 remake for PS5 that's down to $50 (was $70). This is also a great chance to grab some of 2024's other best games, including Metaphor: ReFantazio and Warhammer 40,000: Space Marine 2, both of which are down to $50 (normally $70 each). And if you're into retro RPGs, you'll want to snag a copy of the Final Fantasy I-VI Pixel Remaster collection on PlayStation while it's $50 (was $75).Continue Reading at GameSpot

The robots you and your friends control in REPO are already pretty hilarious. They have googly eyes, a variety of colors, and big flappy mouths. However, despite the amount of personality these little guys already exude, you may want to customize them to show off your own personality. But as of right now, REPO has limited cosmetic options.

Palia is a life simulator and fantasy adventure game where players build up their own homesteads. As players explore the nearby Kilima Valley and Bahari Bay, they learn recipes, catch rare bugs and fish, and make friends with the villagers. The player adventures out into the world, but they always return home to make new furniture, place down a cute plushie, or cook some delicious meals. As the Elderwood update approaches and developer Singularity 6 prepares to open up a third zone to explore on May 13, Palia players have stepped up their home renovation to build increasingly creative bases that break the cozy mold of the rest of the game.In Palia, players can build with pre-made rooms and then snap them together to create larger properties. My mansion is pre-built all the way; I just decorated to my liking. However, Singularity 6 added building block items, and some players have been studiously using them to create structures that look straight out of Minecraft. When these structures are combined with the existing pre-built structures, it can create a very cool effect, as this player demonstrates with his castle. One exhibit that caught me by surprise was a Plush wedding, complete with a giant Chapaa Plush presiding over the whole ceremony. It begs the question: What if we kissed at the wedding gazebo in front of an audience of plushies?  Bigger isn’t always better; one of the most impressive plots I’ve stumbled on recently was this touching memento. Even though I don’t know the history behind this lovely tribute beyond the title of “For Mamaw,” it’s beautiful to look at, and a reminder of just how flexible a homestead can be — especially since players have multiple maps so they can explore various concepts. Players can explore each other’s properties by using the Home Tours board, and when this feature first launched, I was impressed with some of the creative builds people were making. Now, with months of practice under their belts, they’ve gotten even more sophisticated. Lanasvista on YouTube is one Palia builder who has created some truly wondrous builds thanks to clipping and glitching items. For instance, she has created a beautiful train station, complete with a locomotive at the center. Other players have worked to expand on pre-built structures, using items like the Builder’s Stairs to create a proper attic space. Singularity 6 has continued to add new tools for builders to use, like terrain, lifted bridges, and bounce pads. While we haven’t seen the full potential of these tools yet, creators are starting to experiment with their own obstacle courses. While the Elderwood announcement has fans hyped to explore the open world, I enjoy watching Palia’s builders expand their own home bases with new tools and tricks. It’s great to get out into the world, but ultimately, my favorite part of the game is putting all of my adventuring gains to good use at home — and then exploring how other players use those same features to create something cool.

We may earn a commission from links on this page. Deal pricing and availability subject to change after time of publication.Meta has made virtual reality (VR) accessible to many more people, offering good VR headsets for much cheaper than the competition. Right now, the 128GB Meta Quest 3S Batman: Arkham Shadow Bundle is on sale for $269 (originally $299.99), the lowest price it has been, according to price-tracking tools. You can double the storage for $369 (originally $399.99); that version has dropped to $350 in the past. The bundle includes the Batman game (with a list price of $49.99) and a three-month trial subscription to the Meta Quest+ service that's normally $7.99 a month. There are also other bundles available with other Meta accessories. Get Batman: Arkham Shadow and a 3-Month Trial of Meta Quest+ Included — All-in-One Headset Meta Quest 3S 128GB $269.00 at Amazon $299.99 Save $30.99 Get Deal Get Deal $269.00 at Amazon $299.99 Save $30.99 Get Batman: Arkham Shadow and a 3-Month Trial of Meta Quest+ Included — All-in-One Headset Meta Quest 3S 256GB $369.00 at Amazon $399.99 Save $30.99 Get Deal Get Deal $369.00 at Amazon $399.99 Save $30.99 SEE -1 MORE It's true, the Meta Quest 3 has better graphics, but it costs substantially more (currently $499.99) than the 3S version. Lifehacker staff writer Stephen Johnson tested both VR headsets to decide which of the two is better, and the Meta Quest 3S was his winner—you can read a more in-depth review of the Quest 3S here. There just isn't enough of a difference between the two models to justify the additional cost, with the Quest 3S's graphics looking very close to the 3 and running the same games and apps.The Meta Quest 3S has a Snapdragon XR2 Gen 2 processor, 8GB of RAM, a display resolution of 1,832 by 1,920 (per eye), and a refresh rate of 120Hz. Once you put them on, the horizontal field of view is 96 degrees, and the vertical view is 90 degrees. The audio is stereo, which is nice, and the speakers are compatible with 3D spatial audio. When it comes to battery life, expect up to two and a half hours of juice before having to recharge (expect it to take about two hours for a full charge).