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The developer of an AI-powered driving instruction simulator is spending $1,000 per month just to keep its demo running
AppWizard
October 11, 2026

The developer of an AI-powered driving instruction simulator is spending $1,000 per month just to keep its demo running

Artificial intelligence, particularly through large language models (LLMs), is expected to significantly impact the gaming industry by enhancing non-player characters (NPCs). However, practical implementation has been limited, with few titles like Where Winds Meet exploring this technology. A case study from the developers of Teach My Little Sister How To Drive highlights the financial challenges of integrating LLMs, as daily operational costs have exceeded ,000 due to high player interactions. The developers, Easy Fox, have taken out a bank loan to sustain the demo but are uncertain about its long-term viability. They are considering alternatives like local AI models for players with powerful GPUs, though this would limit accessibility. The game’s reliance on a premium LLM raises questions about its necessity, especially given existing design challenges such as artificial dialogue and misinterpreted commands. The full release of the game is scheduled for January next year.
silver Android smartphone
AppWizard
October 11, 2026

Android 18 UI Breakdown: Deep Material You Upgrades, Progressive Blurs, and Hardware Synergy

Google is teasing the return of the Android Dev Summit, focusing on Android 18 and its visual transformation. Key upgrades include: 1. Modern Graphics: Introduction of multi-point mesh gradients and real-time progressive blurs for enhanced visual fidelity. 2. Evolved Material You: Development of tactile glassmorphism and fluid component scaling for a three-dimensional user experience. 3. App Efficiency: Stricter performance benchmarks to minimize resource-heavy background processes and ensure smooth operation. 4. Hardware Synergy: Optimizations in Android 18 designed to complement next-generation displays, particularly for the upcoming Pixel 12.
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.
Your Android phone could be infected before you turn it on
AppWizard
October 9, 2026

Your Android phone could be infected before you turn it on

Bitdefender researchers have identified a malware campaign called Midnight Mimosa that can be embedded in the software of low-cost Android devices before sale. This malware operates stealthily, allowing it to install and remove applications without user knowledge, generate fraudulent advertising activity, and convert devices into residential-proxy relay nodes for a botnet. It has been found on MediaTek-based, white-label devices marketed under misleading names. Users should be cautious of suspiciously cheap devices and look for signs of infection, such as unexplained ads, unfamiliar apps, sudden battery drain, and discrepancies in model names. Standard uninstallation or factory resets may not remove this malware, and users are advised to update their devices, review app lists, and contact sellers for refunds or replacements if they suspect infection. Mobile protection solutions can help monitor app behavior and alert users to potential threats.
silver Android smartphone
AppWizard
October 9, 2026

AnyPS5 implemented 100% of the instructions GPU PlayStation 5 for playing PC games

The AnyPS5 project has achieved 100% implementation of graphics shader instructions, allowing for the direct porting and cross-linking of PlayStation 5 executable files to Windows and Linux without traditional emulation. The project has translated proprietary calls to the PS5's graphics chip into the SPIR-V format for rendering through the Vulkan API. While the complete instruction set coverage indicates successful implementation, it does not guarantee flawless operation in all scenarios. The project has demonstrated stable performance, running a 2D platformer at 60 frames per second on an Intel Core i5 processor and NVIDIA GeForce GTX 1050 Ti graphics card. The developers plan to implement key system libraries for the PRX format soon, leveraging architectural similarities between the PS5 and modern PCs. Additionally, advancements may support related initiatives like the kytyps5 translation layer for console games on PCs.
silver Android smartphone
AppWizard
October 9, 2026

Thousands of cheap Android phones shipped with ad-fraud malware

Researchers from Bitdefender have discovered that thousands of inexpensive Android devices are preloaded with malware called "Midnight Mimosa," which generates fraudulent advertising revenue. This malware is embedded in the device firmware before the first power-up, making it impossible for users to uninstall. It operates with system-level privileges, allowing it to install or remove applications without user consent and to download additional code. The malware primarily aims for financial gain through advertising and click fraud, while also gathering information about devices. Bitdefender has detected this malware on thousands of devices across over 150 countries, with the highest concentrations in Mexico, France, and Italy, followed by the United States, Germany, Brazil, and Spain. Many affected devices are low-cost, white-label, or counterfeit models, often sold online. The malware stealthily installs legitimate-looking applications that display ads in invisible windows, generating ad impressions without user awareness. Bitdefender identified at least 32 disguised applications and found 13 apps in the Google Play Store with similar ad-fraud code. The source of the malware remains unidentified, but some affected firmware was signed with certificates from Shenzhen Zediel, a Chinese company. The researchers suggest that the malware could have been introduced at various stages of the supply chain, potentially by manufacturers or intermediaries.
Differences Between Intel and Snapdragon Googlebook Explained
AppWizard
October 7, 2026

Differences Between Intel and Snapdragon Googlebook Explained

Googlebooks are available with two processor options: Intel and Snapdragon. Snapdragon models excel in running Android applications natively, while Intel models use a translation layer for compatibility. Google reports that 96.6% of the top 10,000 Android apps work on Intel Googlebooks, but 3.4% are unavailable due to hardware incompatibilities. Users may also face software limitations, such as the lack of multiple user profiles in Chrome and limited integration with Samsung smartphones.
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