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Windows questions? How Copilot can analyze your PC settings now
Winsage
July 13, 2026

Windows questions? How Copilot can analyze your PC settings now

Microsoft has introduced a new feature called PC Insights within its Copilot AI, aimed at simplifying troubleshooting within the Windows operating system. This feature allows users to ask questions about their system, such as battery health, BIOS version, CPU usage, network adapters, storage availability, and printer status. Users must download and install the Copilot Windows app to utilize PC Insights. Upon asking a question, Copilot requests permission to access system resources, which can be granted for a single request or for future similar requests. The AI retrieves the necessary data without storing or using personal files for training, and permissions can be revoked through the app's privacy settings. While PC Insights can provide information and clarify technical details, it cannot autonomously fix issues or implement system changes, requiring users to resolve identified problems themselves.
These new Game Boy-style Android handhelds just made us sit up and take notice
BetaBeacon
July 13, 2026

These new Game Boy-style Android handhelds just made us sit up and take notice

MANGMI has announced the upcoming release of the Air Y and Air Y Pro vertical handhelds, designed in a Game Boy-style format and running on the Android operating system. The devices feature a 4:3 screen, side buttons, a scroll wheel for volume control, and MANGMI branding. The Pro model boasts dual analog sticks and the handhelds will be powered by a Snapdragon or Dragonwing chipset.
silver Android smartphone
Winsage
July 13, 2026

A Microsoft engineer revealed Windows 95’s smart way for spotting installers: It just guessed

Developers of Windows 95 faced the challenge of preventing software installers from overwriting existing files with older versions. They implemented a heuristic approach that identified running setup programs by scanning the program's name for specific "magic words." These included "setup," "inst," "imposta," "ayarla," and "felrak." The word "install" was considered redundant since variations like "inst" could also be detected. If a program's name did not contain these magic words, Windows 95 would check the executable path for matches and perform post-installation verification to ensure newer files were not replaced by older versions.
What Is Serverless PostgreSQL?
Tech Optimizer
July 12, 2026

What Is Serverless PostgreSQL?

Serverless PostgreSQL is a fully managed cloud database model that separates compute and storage, allowing them to scale independently and automatically based on demand. It eliminates the need for manual infrastructure provisioning and capacity planning, charging only for active usage. Unlike traditional PostgreSQL setups, which require continuous resource allocation and manual scaling, serverless PostgreSQL provisions resources on demand and can scale down to zero during idle periods. Serverless PostgreSQL integrates with serverless compute platforms, enabling analytical queries to access the same data within a unified architecture. Key differences between traditional and serverless PostgreSQL include manual versus automatic provisioning and scaling, fixed versus usage-based billing, and high versus reduced operational overhead. Lakebase architecture is an emerging model that combines transactional databases with lakehouse foundations, allowing operational and analytical workloads to coexist on a single platform. This architecture minimizes data duplication and simplifies access, enhancing data management and analysis. Serverless PostgreSQL operates on a cloud-native architecture that enhances efficiency by allowing compute and storage to scale autonomously. It features scale-to-zero behavior, where compute resources are suspended when inactive and reactivated upon new queries. Major providers include Databricks Lakebase, Amazon Aurora Serverless v2, and Neon, each offering varying capabilities and integrations. Pricing for serverless PostgreSQL typically includes charges for compute resources, storage, and data transfer, with costs fluctuating based on workload activity. Cold start latency is a performance consideration, as reactivating compute resources can introduce delays. Strategies to mitigate this include keeping resources partially active or selecting providers with minimal cold start impacts. Serverless PostgreSQL is well-suited for OLTP workloads, while lakebase architecture is better for AI development, variable workloads, and environments requiring rapid iteration. Setting up serverless PostgreSQL involves choosing a provider, creating a database instance, and configuring access settings. It can also be used alongside serverless compute platforms for analytics, further extending its capabilities.
Weekend PC Game Deals: GTA, Borderlands, Kingdom Come, Stray and more
AppWizard
July 12, 2026

Weekend PC Game Deals: GTA, Borderlands, Kingdom Come, Stray and more

The Epic Games Store is offering two free titles this week: Nova Lands and Tattoo Tycoon, available until July 16, when Echo Generation and Luto will replace them. The July Humble Choice lineup includes eight games: Sea of Stars: Sunset Edition, TUNIC, Neon White, Police Simulator: Patrol Officers, Drop Duchy - Complete Edition, Sledders, Dicefolk, and Our Adventurer Guild, available for purchase until August 4. Additionally, Humble has released two game bundles: the Narrative Bundle, featuring 12 games, and the Squad Goals bundle, which includes cooperative titles. The GOG store has ended its DRM-free summer sale but continues with standard promotions. Availability and pricing may vary by region.
Running pgvector in production on Amazon Aurora PostgreSQL
Tech Optimizer
July 12, 2026

Running pgvector in production on Amazon Aurora PostgreSQL

Running pgvector on Amazon Aurora PostgreSQL-Compatible Edition offers a vector store with operational capabilities, high availability, and scalability. It is favored for Retrieval Augmented Generation (RAG) workloads transitioning to production, but increased traffic introduces challenges like query latency and memory management. Key operational practices for pgvector workloads include selecting the appropriate index type (HNSW or IVFFlat), establishing a baseline schema, choosing a suitable distance operator, scaling the index through quantization and partitioning, and preparing for churn and observability. The prerequisites for using pgvector include an Aurora PostgreSQL-Compatible cluster with specific PostgreSQL versions and the vector extension enabled. The embedding model used in examples is Amazon Titan Text Embeddings V2, which produces 1024-dimensional embeddings. pgvector supports two Approximate Nearest Neighbor (ANN) index types: HNSW, which is efficient for querying and allows for incremental insertions, and IVFFlat, which is less resource-intensive but requires rebuilding if data changes. There are scenarios where forgoing an index is beneficial, such as small datasets or partitioned datasets requiring 100% recall. A baseline schema for a multi-tenant document store includes creating a table for documents with an embedding vector and establishing indexes for tenant IDs and embeddings using HNSW. The recommended parameters for HNSW include m = 16 and ef_construction = 128. Scaling to millions of vectors involves quantization, tuning HNSW parameters, and partitioning. Aurora Optimized Reads can extend effective cache capacity, and managing index churn is crucial for maintaining performance. Observability metrics include query-level statistics, instance-level metrics, and custom application-defined metrics. To clean up after testing, it is advisable to drop the created indexes and tables, and delete the Aurora PostgreSQL-Compatible cluster and any manual snapshots taken during testing.
AI Threat Forces Microsoft To Update Windows Patch Guidance
Winsage
July 11, 2026

AI Threat Forces Microsoft To Update Windows Patch Guidance

Microsoft is advocating for a reevaluation of Windows patch management practices due to the rapid evolution of artificial intelligence (AI) impacting cybersecurity. The company emphasizes that traditional timelines for patch deployment, typically spanning several weeks after the monthly Patch Tuesday, are inadequate against modern cyber threats. Microsoft recommends organizations shorten deployment windows to under three days for quality updates, with immediate installation deadlines and minimal user grace periods. To support these changes, Microsoft is enhancing Windows Autopatch with a new reporting dashboard for patch compliance and security insights. The company is promoting cloud-managed deployment through Microsoft Intune and Windows Autopatch while continuing to support legacy tools. Additionally, Microsoft is introducing Windows Hotpatch technology, allowing security updates to be installed without immediate reboots, and advocating for the use of identity-based access controls to isolate unpatched devices. The guidance reflects a shift from scheduled patching to continuous risk management, encouraging organizations to prioritize high-risk assets and automate update deployments. Microsoft is also investing in AI-assisted vulnerability discovery and automated code analysis to improve defensive capabilities. The overarching message is that enterprises must adapt their update strategies to address the accelerated pace of AI-driven exploitation.
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