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Steam Machine Verified vs Steam Deck: 47 vs 38 Games [2026]
AppWizard
October 11, 2026

Steam Machine Verified vs Steam Deck: 47 vs 38 Games [2026]

Valve has revealed that as of October 5, 2026, the Steam Machine has 47 verified games, surpassing the Steam Deck's 38 verified games. Three games—Dragon’s Dogma 2, Control Resonant, and The Blood of Dawnwalker—were upgraded from Unsupported on the Steam Deck to Verified on the Steam Machine. The Steam Machine's verification standard requires a resolution of 1080p at 30 frames per second, while the Steam Deck requires 800p at 30 frames per second. The Steam Machine is powered by hardware comparable to an AMD Radeon RX 7600M, while the Steam Deck uses a custom RDNA 2 APU. The analysis of the top 100 best-sellers shows that 38 games are Verified on Steam Deck and 47 on Steam Machine, with 28 playable on Steam Deck and 23 on Steam Machine. There are 19 Unsupported titles on Steam Deck and 15 on Steam Machine. Valve's compatibility documentation states that any game verified on Steam Deck is also guaranteed to be verified on Steam Machine.
Android Malware Caught by Teaching AI to Read Apps as Pictures
AppWizard
October 11, 2026

Android Malware Caught by Teaching AI to Read Apps as Pictures

A research team from Turkey, led by Erdal Başaran and Ömer Okucu of Ağrı İbrahim Çeçen University, along with Yusuf Alaca from Hitit University, has developed an innovative detection framework for Android malware that utilizes a visual approach. This framework transforms key features of Android applications into images, allowing a Vision Transformer to differentiate between benign software and malware. The researchers created two types of images from static and dynamic analysis features: a conventional 2D grayscale image and a QR code image. Separate Vision Transformer models were trained on each image type, and spatial pooling features were extracted from deeper layers to create a comprehensive representation of application behavior. To refine the fused feature vector, Recursive Feature Elimination (RFE) was employed, enhancing classification clarity and reducing computational load. The final classification utilized a majority-voting ensemble strategy, achieving a detection accuracy of 98.72 percent, surpassing standalone models. The study demonstrates that the multimodal system outperforms individual grayscale or QR code pathways. The dataset used is publicly available, promoting reproducibility. The framework's reliance on static and dynamic analysis features allows it to adapt to new threats, and the novel QR code representation offers distinctive visual signatures of malicious behavior. However, challenges remain regarding feature extraction quality and computational demands.
A practical guide to cost optimization with Lakebase Postgres
Tech Optimizer
October 11, 2026

A practical guide to cost optimization with Lakebase Postgres

Lakebase is a fully managed Postgres database designed for modern application development, featuring an architecture that separates storage and compute with a serverless compute layer. This design allows for cost efficiencies through various mechanisms: 1. **Branching**: Developers can create isolated environments for development, testing, or experimentation without duplicating storage costs, as branches share the same underlying storage. 2. **Autoscaling**: Lakebase adjusts compute resources based on activity levels, allowing users to pay only for the compute they use. It can scale down during low activity and can be suspended entirely after inactivity, reducing costs to zero. 3. **Read Replicas and High Availability**: The separation of storage and compute allows for adding read replicas and high availability without incurring additional storage costs, as these instances utilize the same storage layer. 4. **Synced Tables**: Integration with the Databricks Intelligence Platform enables efficient data syncing, allowing users to sync only the necessary working set of data, which helps avoid unnecessary storage and sync costs. 5. **Sync Modes**: There are three sync modes (Snapshot, Triggered, Continuous) for transferring data from the Lakehouse to Lakebase, each with different cost implications based on data freshness requirements. 6. **Right-sizing Compute**: Users can set the initial compute range during project provisioning to avoid over-provisioning and unnecessary costs. 7. **Monitoring and Metrics**: The Lakebase Metrics dashboard provides insights into working set size and cache utilization, helping users optimize their compute sizing and performance. 8. **Point-in-Time Restore (PITR) and Snapshots**: PITR maintains history for recovery within a configurable window, while snapshots offer discrete recovery points. Both are priced lower than standard storage, making them cost-effective options for data recovery. Lakebase costs are categorized into compute, storage, and serverless pipeline compute for syncing data. Compute is measured by CU usage, while storage includes branch storage, PITR history, and snapshot storage, all tracked separately. Users can access detailed usage and cost information through system billing tables.
GTA 6 leaker threatens to upload a build with 'full story mode'
AppWizard
October 11, 2026

GTA 6 leaker threatens to upload a build with ‘full story mode’

Cyberleek has been sharing footage of Grand Theft Auto 6 since August, with a recent 25-minute video featuring co-protagonist Jason. The game's official release is on November 19 for console players. Cyberleek is offering to leak a playable build of the game if their memecoin reaches a million market capitalization. They claim the build will include the full story mode and are inviting requests for specific content. This situation puts Take-Two Interactive in a difficult position regarding their response. Previous Xbox streaming attempts have not met expectations, and gamers are looking forward to other releases like The Blood of Dawnwalker and Hellraiser.
AWS embeds DuckDB in its PostgreSQL DBMS to speed queries of live and historical data
Tech Optimizer
October 10, 2026

AWS embeds DuckDB in its PostgreSQL DBMS to speed queries of live and historical data

Amazon Web Services Inc. has enhanced its Aurora PostgreSQL database management system to allow users to query the Apache Iceberg data lake directly. This feature integrates the DuckDB analytical engine, enabling seamless access to live transactions and historical records without data duplication or complex ETL processes. Customers can use existing PostgreSQL applications to query data in Amazon S3, including S3 Tables. The integration aims to reduce the engineering workload associated with data pipelines and supports real-time applications. DuckDB processes analytical scans within Aurora, eliminating extra network hops and allowing single queries to access both live and archived data. The feature supports external catalogs compliant with the Iceberg REST Catalog specification and can create foreign tables referencing data across multiple catalogs. Aurora optimizes query performance by filtering records and caching frequently accessed data. Customers can combine recent transactions in Aurora with historical data from S3 without manual schema definitions. For low-latency workloads, selected data can be copied into native Aurora tables using standard SQL. This capability requires the aurora_analytics extension and an AWS IAM role for S3 and Glue access, and is compatible with Aurora PostgreSQL versions 17.11 and 18.6. The feature is available across all AWS regions at no additional charge, with costs incurred only for Aurora computing resources and S3 requests.
Asus Googlebook 14 Review: For Android, By Android
AppWizard
October 10, 2026

Asus Googlebook 14 Review: For Android, By Android

Googlebook 14 features Googlebook OS, which is based on Android and incorporates elements from ChromeOS, offering a familiar user experience for Android users. The interface resembles that of Android devices, with home screens, quick settings, and app access similar to smartphones. Integration with Android phones allows users to access apps, notifications, and files directly from the laptop. The "Continue On" feature enables users to pin phone apps to the Googlebook taskbar for easy transitions between devices. However, Googlebook OS lacks support for traditional desktop software, limiting the functionality of Android apps available through Google Play. Google is addressing compatibility issues by labeling apps for desktop use in the Play Store. New features like Magic Pointer, Proactive Suggestions, and Rambler are introduced, but the OS still requires significant improvements in app compatibility and desktop interface optimization. Google has faced challenges in developer support for optimizing applications for Googlebook OS.
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