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OpenAI's own advice during its October 9 Android outage: use ChatGPT on the web
AppWizard
October 12, 2026

OpenAI’s own advice during its October 9 Android outage: use ChatGPT on the web

On the evening of October 9, users attempting to access ChatGPT on Android devices encountered the message "This content is unavailable in this version of the app" due to an issue from OpenAI. The problem began at 21:00:39Z and lasted for three hours and 26 minutes, concluding at 00:26:44Z on October 10. OpenAI advised users to switch to the web version while they worked on a fix for older app versions. A second major incident occurred 48 minutes later, locking workspace administrators out of plugin settings from 21:48:34Z to 23:26:59Z on October 9, totaling one hour and 38 minutes. Both incidents overlapped entirely, with the Android issue persisting for an additional hour after the admin issue was resolved. As of 21:42 UTC on October 10, a third minor incident regarding "Delayed Costs data in the Compliance API" remained unresolved, having started at 17:23:18Z on October 9. OpenAI reported that some customers might experience incomplete Costs data while the backlog was addressed, with the catch-up process expected to continue through October 11. ChatGPT usage and API Platform requests were unaffected, and the overall status was designated as "Partial System Degradation." Additionally, a more significant outage occurred on September 29, lasting five hours and 22 minutes and affecting 30 components, which was more extensive than the incidents on October 9. Neither of the major incidents on October 9 impacted the API.
Hellraiser: Revival (PC) REVIEW - The Wettest Game of the Year
AppWizard
October 11, 2026

Hellraiser: Revival (PC) REVIEW – The Wettest Game of the Year

The Hellraiser franchise began with Clive Barker's literary works and transitioned into a film in 1987, followed by nine sequels and a reboot. The latest installment, Hellraiser: Revival, is a narrative-driven single-player game that incorporates elements from various gaming genres, including a grim atmosphere similar to Condemned, a merchant system like Resident Evil 4, chase sequences akin to Outlast, hide-and-seek mechanics inspired by Alien: Isolation, abilities reminiscent of BioShock, and crafting systems typical of modern gaming. The story follows Aidan Lynch, who seeks to rescue his partner Sunny from Pinhead after a traumatic encounter. Aidan, portrayed by Xalavier Nelson Jr., is a flawed character who faces internal struggles, while Doug Bradley reprises his role as Pinhead. The game features dynamic combat with a variety of weapons and enemies, requiring strategic thinking. Despite some budget constraints and minor flaws, Hellraiser: Revival is noted for its impressive art direction and atmospheric design, without any microtransactions. A deluxe edition key was provided for the review.
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.
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