ZDNET's key takeaways The Xreal One Pro is available for $649, and the Xreal Eye accessory is priced at $99. Thanks to the X1 chip, no special software is required for advanced functionality, the FOV is the best available, the glasses are comfortable, and the display is bright and clear. The glasses are rather expensive, and two sizes for your eye width make them fit best for individuals.$649 at AmazonFollow ZDNET: Add us as a preferred source on Google.For the past several months, I have been wearing ...

来源：环球网 具体来看，三星计划在10月21日举行线上发布会，并在发布会当天立即开始发售。这一策略表明三星希 望迅速将产品推向市场，以抢占先机。三星的目标是销售约10万台，但这一数字可能会在确认市场初步 需求后进行调整。 外媒称，Project Moohan XR耳机的售价预计为200万韩元，约合1400美元。这一价格低于苹果的Vision Pro，但远高于Meta的Quest 3。据称，Moohan的显示屏像素密度约为3800 ppi，高于苹果Vision Pro。这 款头显搭载高通骁龙XR2+ Gen 2 SoC，并配备16GB RAM。（青云） 【环球网科技综合报道】9月19日消息，据gsmarena援引韩媒报道，三星首款搭载Android XR的Project Moohan头显已从原定的9月29日推迟至10月21日。 ...

Core Insights - Meta Connect developer conference highlighted new smart glasses and significant metaverse updates, particularly the introduction of Hyperscape for creating photorealistic virtual spaces [1][5] Group 1: Hyperscape Introduction - Hyperscape Capture is now in Early Access, allowing Quest device owners to scan real rooms and create immersive digital replicas [2] - The capture process takes a few minutes, but rendering the room will take several hours [2] - Initially, users cannot invite others into their digital spaces, but this feature will be available later through a private link [3] Group 2: Featured Hyperscape Worlds - The technology has been used to render notable locations such as Gordon Ramsay's kitchen, Chance the Rapper's House of Kicks, and the UFC Apex Octagon [4] Group 3: User Rollout and Age Restrictions - Hyperscape is being rolled out to users aged 18 and older with Quest 3 or Quest 3S devices, starting gradually from the announcement date [5] Group 4: Additional Metaverse Updates - Meta introduced new VR games for fall, including Marvel's Deadpool VR and Star Wars: Beyond Victory [8] - Horizon TV will support streaming services like Disney+, ESPN, and Hulu, along with partnerships for immersive movie experiences [9]

Core Insights - The article discusses the development of XRoboToolkit, a cross-platform framework for robot teleoperation, addressing the increasing demand for large-scale, high-quality robot demonstration datasets due to the rapid advancement of visual-language-action models (VLAs) [3]. Existing Teleoperation Solutions Limitations - Current teleoperation frameworks have various shortcomings, including limited scalability, complex setup processes, and poor data quality [4][5]. XRoboToolkit's Core Design - The framework features a three-layer architecture for cross-platform integration, comprising XR end components, robot end components, and a service layer for real-time teleoperation and stereo vision [4][5]. Data Streaming and Transmission - XRoboToolkit employs an asynchronous callback-driven architecture for real-time data transmission from XR hardware to the client, with a focus on various tracking data formats [7][9]. Robot Control Module - The inverse kinematics (IK) solver is based on quadratic programming (QP) to generate smooth movements, particularly near kinematic singularities, enhancing stability [8][10]. XR Unity Application and Stereo Vision Feedback - The framework has been validated across multiple platforms, demonstrating an average latency of 82ms, significantly lower than the 121.5ms of Open-TeleVision, with a standard deviation of 6.32ms [11][13]. - Data quality was verified through the collection of 100 data points, achieving a 100% success rate in a 30-minute continuous operation [11][14]. Application Interface and Features - The application interface includes five panels for network status, tracking configuration, remote vision, data collection, and system diagnostics, supporting various devices [16]. - Stereo vision capabilities are optimized for depth perception, with the PICO 4 Ultra outperforming in visual quality metrics [16].

Financial Data and Key Metrics Changes - Q2 total revenue was $47.5 billion, up 22% year over year on both a reported and constant currency basis [18] - Q2 total expenses were $27.1 billion, up 12% compared to last year [18] - Operating income for Q2 was $20.4 billion, representing a 43% operating margin [20] - Net income was $18.3 billion, or $7.14 per share [20] - Free cash flow was $8.5 billion, with $9.8 billion repurchased in Class A common stock [21] Business Line Data and Key Metrics Changes - Family of Apps revenue was $47.1 billion, up 22% year over year [22] - Family of Apps ad revenue was $46.6 billion, up 21% to 22% on a constant currency basis [22] - Reality Labs revenue was $370 million, up 5% year over year [25] - Family of Apps operating income was $25 billion, representing a 53% operating margin [24] Market Data and Key Metrics Changes - Ad revenue growth was strongest in Europe and the rest of the world at 24% and 23% respectively [22] - North America and Asia Pacific grew 21% and 18% respectively [22] - The total number of ad impressions served increased by 11%, driven mainly by Asia Pacific [23] - The average price per ad increased by 9% due to increased advertiser demand [23] Company Strategy and Development Direction - The company is focused on developing superintelligence through Meta Superintelligence Labs, aiming to empower individuals [6][7] - Investments are being made in AI systems to improve advertising efficiency and user engagement [11][12] - The five basic opportunities being pursued include improved advertising, engaging experiences, business messaging, Meta AI, and AI devices [10] Management's Comments on Operating Environment and Future Outlook - Management expressed optimism about the trajectory of AI development and its potential impact on the business [51][52] - The company expects to deliver additional improvements in user engagement and monetization efficiency throughout the year [26] - There are anticipated challenges from regulatory environments, particularly in the EU, which could impact revenue [45] Other Important Information - The company ended Q2 with $47.1 billion in cash and marketable securities and $28.8 billion in debt [21] - Capital expenditures for Q2 were $17 billion, driven by investments in infrastructure [20] - The company is exploring partnerships for financing large-scale data center projects [77] Q&A Session Summary Question: Insights on AI strategy evolution - Management noted that aggressive assumptions have often predicted outcomes accurately, and they are focused on self-improvement in AI systems [50][51] Question: Commentary on OpEx and CapEx - Management provided insights into the budgeting process for 2026, highlighting infrastructure and compensation as key drivers of expense growth [55][56] Question: Technological constraints for superintelligence - Management emphasized the importance of self-improvement in AI and the need for small, talent-dense teams for leading research [64][66] Question: Open source AI approach - Management confirmed that they will continue to open source some models while being cautious about sharing larger models due to competitive concerns [73] Question: Financing CapEx - Management expects to finance a significant portion of CapEx internally but is also exploring partnerships for data center development [77] Question: ROI on CapEx - Management expressed strong confidence in the ROI from core AI investments, while acknowledging that Gen AI is still early in the return curve [81]