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Apple might be close to launching a dedicated hub for gaming on the Mac, iPhone, and iPad

Apple is rumored to be launching a dedicated gaming hub on iPhone, iPad, Mac, and Apple TV 4K, showcasing new titles for Apple Arcade and direct platforms.
This move reflects Apple's aim to boost gaming across its devices, expanding from Mac to other platforms like the Apple Watch.
The new app will combine in-game achievements, leaderboards, and other features for easy game access on multiple devices.
It will include Apple Arcade titles and editorial content, replacing the Game Center as a centralized gaming hub.
The Mac will also be integrated into the gaming app, promoting Apple's effort to position Macs as powerful gaming devices.
The app may tap into games downloaded outside the App Store, potentially competing with platforms like Steam for macOS gaming.
The launch is expected to coincide with the release of iOS, iPadOS, and macOS updates in September 2025, following Apple's WWDC announcement in June.
The announcement aligns with Apple's broader software updates, including new health capabilities, redesigned apps, and live translation features for AirPods.
The report hints at possible AAA titles and expanded features for Apple Arcade, anticipating an increase in game availability on Apple's platforms.
The gaming app's integration with devices like the iPhone, iPad, and Apple TV 4K could enhance gaming experiences across the Apple ecosystem.

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Nvidia

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NVIDIA and Google Partnership Gains Momentum With the Latest Blackwell and Gemini Announcements

NVIDIA and Google have a strong partnership focused on advancing AI innovation and supporting the global developer community through deep engineering collaboration and software optimizations.
The partnership has led to significant contributions to community software efforts, with optimizations supporting Google's Gemini models and open models, as well as the integration of NVIDIA AI software across Google Cloud services for enhanced performance and simplified AI deployments.
Google Cloud offers NVIDIA Blackwell in production, providing access to NVIDIA HGX B200 and NVIDIA GB200 NVL72 with A4 and A4X VMs, supporting large-scale AI applications with accelerated performance and advanced networking capabilities.
Google Distributed Cloud now allows the deployment of Google Gemini models on-premises via NVIDIA Blackwell platforms, expanding the reach of agentic AI to organizations with strict data residency requirements while ensuring data protection and compliance.

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Medium

430

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Why We’re Building the True Serverless Engine for LLMs (And Why It Matters)

Serverless computing for Large Language Models (LLMs) promises instant scalability and cost efficiency but is hindered by cold starts, especially with massive models like LLMs.
InferX aims to address the challenges of serverless LLM inference by developing a specialized engine focusing on AI inference, rather than a general-purpose serverless platform.
InferX uses the Cold-Start Time-to-First-Token (CS-TTFT) metric to provide a more accurate evaluation of serverless LLM systems' performance.
Core focus of InferX lies in its AI-Native OS Architecture and lightweight snapshotting technology, enabling resource-efficient pre-warming and rapid restoration of containers.
InferX significantly reduces Cold-Start Time-to-First-Token (CS-TTFT) by up to 95%, achieving latencies under 2 seconds for various LLMs.
InferX's specialized serverless LLM engine drives over 80% GPU utilization, reducing wasteful idle time and optimizing resource efficiency.
InferX benefits GPU cloud providers, AI/ML API providers, and enterprises by improving GPU utilization, enhancing user experience, and reducing operational costs.
By offering specialized and elastic LLM deployment solutions, InferX aims to unlock the full potential of powerful models in production environments.
InferX invites GPU cloud providers, AI platforms, and enterprises to connect and explore how InferX can transform LLM operations.
Specialization in serverless LLM deployment is seen as crucial for maximizing efficiency and performance in AI infrastructure.
InferX believes that by focusing on being the dedicated serverless engine for LLMs, the challenges of LLM cold starts, GPU waste, and scalability can be effectively addressed.

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Tech Radar

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Sam Altman's newest venture has built a robot to decide if you're human

Tools for Humanity, co-founded by Sam Altman, has launched a robotic human verification device called the Orb Mini, which scans irises and creates blockchain-based World IDs.
The company is partnering with major brands such as Visa, Match Group, and Razer to bring biometric IDs for finance, dating, and gaming purposes.
The Orb Mini is designed to verify human identities by scanning irises and creating unique World IDs stored on the blockchain for authentication.
Tools for Humanity plans to deploy 7,500 Orb Mini devices across the U.S. by the end of the year with a focus on security and privacy features for storing biometric data.

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Tech Radar

276

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A Project Moohan benchmark gets spotted, and may have revealed the Android XR headset's key spec

A benchmark for the Project Moohan headset has been spotted pointing towards Snapdragon XR2+ Gen 2 for the CPU.
The headset, a collaboration between Google and Samsung, is expected to launch in the second half of the year.
The benchmark also reveals that the device could run on Android 14 specifically adapted for virtual and augmented reality with 16GB of RAM.
The Snapdragon XR2+ Gen 2 chipset supports various VR technologies and was tested at Google I/O 2025 with standout Gemini AI integration.

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Dev

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Structured Story Points: Estimating Engineering Work with Clarity

Structured Story Points aim to bring clarity to estimation by focusing on effort, complexity, uncertainty, and collaboration in engineering work.
It emphasizes the importance of understanding the context behind estimates, moving away from just assigning numbers to considering complexity, uncertainty, and collaboration factors.
Estimation breakdown is attributed to the lack of structure in reasoning about the work, where story points have turned into disconnected numbers rather than meaningful indicators.
Structured Story Points replace guesswork with a structured approach, where teams answer four clear questions regarding effort, complexity, uncertainty, and collaboration to improve planning.
Effort, complexity, uncertainty, and collaboration are the four key dimensions considered in Structured Story Points for evaluating work tasks.
Effort is measured based on the focused, hands-on time required for the task, categorizing tasks into minimal, moderate, or painstaking levels.
Complexity assesses the cognitive and technical challenge of the work, distinguishing tasks as simple, layered, or convoluted based on reasoning difficulty.
Uncertainty evaluates the team's alignment in understanding the task, classifying tasks as clear, murky, or uncharted based on the level of clarity in requirements.
Collaboration measures the coordination needed to complete the task, considering solo, paired, cross-team, or external involvement.
Structured Story Points help teams have more accurate estimations, leading to predictable delivery, improved velocity, and strengthened trust between engineering teams and stakeholders.

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Medium

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The Rise of the Agentic Economy: Introducing Agentic Nodes on Go! SmartChain AI

Agentic Nodes on Go! SmartChain AI power the logic layer, enabling automation of assets and workflows.
In the Agentic Economy, assets are programmable, reacting based on intent signals and real-world events.
Agentic Nodes execute logic, enforce rules, and contribute to shaping a programmable, intelligent network.
Early access to Agentic Nodes offers $GSMC rewards, voting rights, and the opportunity to be part of an AI-native, asset-aware economy.

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Crypto-News-Flash

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Blockchain Builders Fund Closes $28M Round for Seed-Stage Web3

Blockchain Builders Fund, founded by 3 Stanford graduate students, closes $28 million Fund I to support web3 startups.
Fund I led by Gil Rosen, Kun Peng, and Steven Willinger, who were instrumental in building Stanford's blockchain ecosystem.
Over half of Fund I already invested in 40 early-stage ventures covering AI, DeFi, real-world assets, payments, and blockchain infrastructure.
Blockchain Builders Fund plans expansion beyond Stanford with upcoming Fund II and collaborations with Ethereum Foundation, Solana, and others.

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Hackernoon

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MetaCene Launches World's First GameFi On HyperEVM With LLM Trained By Unlocked GPU Infrastructure

MetaCene launches the first GameFi platform on HyperEVM blockchain, integrating Large Language Model-driven gaming titles.
This strategic deployment showcases MetaCene's response to market trends favoring HyperEVM for its enhanced performance and reduced costs compared to Ethereum infrastructure.
The company's use of a powerful GPU cluster enables real-time AI-driven gaming experiences, though initial deployment challenges posed energy consumption concerns.
Innovative derivative token frameworks introduced by MetaCene address economic volatility in GameFi ecosystems, paving the way for revolutionary gaming experiences through AI integration.

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Medium

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Why Natural Language is the Future of Software Development

Programming is shifting towards using natural language descriptions rather than writing code, thanks to AI and large language models.
The concern arises on how natural language can replace the precision of programming language for building complex and reliable systems.
However, bridging the gap between natural language and logic involves clarifying details, filling in blanks, and evolving requirements through iterative development.
AI can assist in running tests, simulating real-world scenarios, catching edge cases, and facilitating an agile, automated, and conversational approach to software development.

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Hackernoon

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Meet BingAI: BingX's AI Revolution In Crypto Trading

BingX launched BingAI, an AI-powered crypto trading assistant designed to provide real-time market insights and strategic recommendations to empower crypto traders.
BingAI offers various features such as real-time strategy guidance, trend forecasting, smart position analysis, pro trader recommender, and AI trade review to assist users in making informed decisions.
Vivien Lin, Chief Product Officer of BingX, emphasized the importance of BingAI in supporting traders with real-time AI assistance, setting new standards for innovation in the crypto trading industry.
BingX plans to further develop BingAI as part of its AI Evolution strategy, aiming to leverage cutting-edge AI technologies to reshape the future of crypto trading and enhance user experience.

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Engadget

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Texas enacts age-verification law for app stores

Texas has enacted an age-verification law for app stores, despite lobbying efforts from big tech companies like Apple and Google.
The law requires app stores to verify users' ages and obtain parental approval for minors to download software or make in-app purchases.
The bill sponsors aim to protect children and teens from inappropriate content, providing tools for parents to make decisions for their own children.
Apple and Google have pushed back against these measures, expressing concerns about privacy risks and the need to submit personal information.

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Hackernoon

262

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Cache Wallet Begins Token Sale With Early Demand And Asset Recovery Breakthrough

Cache Wallet has initiated its token sale, witnessing early demand and breakthrough in asset recovery solutions.
Around 60% of presale tokens were sold out within the first 72 hours of the official presale launch.
The smart wallet by Cache is designed to restore frozen assets due to lost seed phrases, private keys, or passwords, introducing a new level of security.
Cache Wallet's strategic partnership with Mises Browser and focus on Real-World Asset (RWA) transfers has garnered significant attention in the crypto community.

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Medium

439

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Turning Objects into Arrays and Back in JavaScript

Object.entries() converts objects into arrays of key-value pairs, leaving the original object unchanged.
Arrays allow for easy manipulation like mapping, filtering, and sorting, which objects lack.
Object.entries() only includes an object's own enumerable string keys, leaving out inherited or symbol-based ones.
Order matters in Object.entries(): numeric keys are sorted first, while others retain their order.
Object.entries() is useful for working with object data as a list, enabling transformations like mapping or filtering.
Object.fromEntries() reverses the process by creating an object from an iterable of key-value pairs.
Object.fromEntries() accepts any iterable, not just arrays, allowing for flexibility in data transformation.
If two entries use the same key, the last one takes precedence in the resulting object.
Object.fromEntries() is helpful for rebuilding objects after filtering out unwanted parts or updating values.
Overall, Object.entries() and Object.fromEntries() provide a streamlined way to manipulate and reshape object data in JavaScript.

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Medium

176

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Unchaining the Agents: How Decentralized Key Management Secures True Autonomy on Oasis

Cryptographic keys are crucial for blockchain security, but centralized key storage undermines autonomy.
Decentralized key management (DKM) is essential for the future of DeFi, ensuring keys are not held centrally and enabling secure cryptographic operations.
Oasis Network integrates TEEs to solve the DKM puzzle, allowing for confidential smart contracts and secure management of private keys.
The use of TEEs, Sapphire runtime, and ROFL on Oasis ensures efficient and trustless management of assets without exposing private keys.

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