AI model Archives

Tech Optimizer

March 17, 2026

How PostgreSQL on Azure helps modernize legacy databases

Microsoft is enhancing PostgreSQL to establish it as a high-performance, scalable, and enterprise-ready open database platform, addressing the limitations of legacy systems like Oracle. Many Oracle customers face rising licensing costs, performance bottlenecks, and scalability issues, prompting them to consider migration. Apollo Hospitals successfully migrated from Oracle to Azure Database for PostgreSQL, achieving a 60% reduction in operational costs and a threefold improvement in system performance. Microsoft has introduced an AI-assisted migration tool to simplify the transition from Oracle to PostgreSQL, automating the conversion of schemas and application code. Azure Database for PostgreSQL offers high performance, scalability, and security, with features like v6-series compute SKUs and SSD v2 storage. Azure HorizonDB, a new cloud-native PostgreSQL service, supports extreme performance demands and is designed for real-time analytics. Microsoft is committed to enhancing PostgreSQL as an open-source database for enterprise workloads, enabling organizations to innovate and become more agile.

AppWizard

March 6, 2026

Google will now show which AI models are best at building Android apps

Google has introduced Android Bench, a tool for assessing AI model performance in Android app development. The top performer is Gemini 3.1 Pro, scoring 72.2%, followed by Claude Opus 4.6 at 66.6% and GPT 5.2 Codex at 62.5%. The benchmark evaluates models through real-world Android coding challenges with task completion rates between 16% and 72%. Google aims to facilitate the creation of Android applications from user prompts and has made the benchmark's methodology and tools available on GitHub.

AppWizard

March 6, 2026

Google says these AI models are best at coding Android apps

Google is testing various AI models for Android app development through a new platform called “Android Bench,” which evaluates the performance of leading AI language models (LLMs) against benchmarks specific to Android development. The benchmarks assess capabilities in areas such as Jetpack Compose, asynchronous programming, data persistence, dependency injection, navigation migrations, Gradle/build configurations, and interaction with Android components. Google has identified Gemini 3.1 Pro Preview as the top-performing model with a score of 72.4%, followed by Claude Opus 4.6 at 66.6% and OpenAI’s GPT 5.2 Codex at 62.5%. Gemini 2.5 Flash scored the lowest at 16.1%.

AppWizard

February 24, 2026

Circle to Search has 3 secret powers most people don’t know about

Circle to Search has reached its second anniversary, marking a significant milestone for Google. It was introduced to Android as a practical application of artificial intelligence and has evolved to include enhanced functionalities relevant in 2026. Users can access the generative AI model Nano Banana directly through Circle to Search for image creation and editing, streamlining the remixing process. The tool also features a full-screen translation capability that allows instant translation of text displayed on screens across various apps and websites, supporting multiple languages and enabling scrolling translations. Additionally, Circle to Search can scan QR codes and barcodes displayed on screens, functioning similarly to the Camera app. Its capabilities include text selection, image searching, generative AI, code scanning, song recognition, and on-screen translation, making it a versatile tool that enhances user experience. The Google Pixel 10 is highlighted as an ideal companion for Circle to Search, equipped with AI-powered tools that enhance overall user experience.

Tech Optimizer

February 22, 2026

Researchers Discover First Android Malware Using Generative AI for Persistence

Security researchers have identified a new Android Trojan named PromptSpy that uses generative AI technology to enhance its persistence on compromised devices. Discovered by ESET researchers, PromptSpy leverages Google's Gemini AI model to analyze infected device screens and generate tailored instructions for embedding itself within recent apps lists. It includes a Virtual Network Computing (VNC) module that allows attackers full remote control over the device, enabling activities such as viewing the screen, performing actions remotely, capturing lock screen data, blocking uninstallation attempts, gathering device information, taking screenshots, and recording screen activity as video. The malware communicates with command-and-control servers using AES encryption and exploits Android Accessibility Services, making it difficult to remove. PromptSpy is distributed through a dedicated website and is financially motivated, adapting to various Android interfaces and operating system versions. ESET's analysis indicates that the malware is regionally targeted, with a focus on Argentina, and may have been developed in a Chinese-speaking environment. The same threat actor is believed to be responsible for both VNCSpy and PromptSpy.

AppWizard

February 19, 2026

PromptSpy Android Malware Abuses Google Gemini to Automate Recent-Apps Persistence

Cybersecurity researchers have identified a new Android malware named PromptSpy that utilizes Google's Gemini AI chatbot to enhance its capabilities and persistence on infected devices. PromptSpy can capture lockscreen data, obstruct uninstallation, gather device information, take screenshots, and record screen activity. It integrates Gemini to analyze the current screen and provide instructions to keep the malware active in the recent apps list. The malware uses a hard-coded AI model and communicates with a command-and-control server via the VNC protocol, allowing remote access to the victim's device. It is financially motivated, targeting users in Argentina, and was developed in a Chinese-speaking environment. PromptSpy is distributed through a dedicated website and is considered an advanced version of a previously unidentified malware called VNCSpy.

AppWizard

February 19, 2026

Google exec shares an AI Mode change for sources that makes it even easier to fact-check

Google has introduced an update to its Search platform that enhances AI Mode and AI Overviews. The update includes "groups of links" accessible through a floating sub-menu when users hover over the link icon, which has been redesigned for better visibility. This feature is currently available only for desktop users, while mobile users will continue to tap links as usual. AI Mode can assist with appointment bookings by requiring users to fill out a brief form, after which it summarizes the information gathered. Earlier this year, Google integrated its AI model, Gemini 3, into AI Overviews, allowing users to ask follow-up questions more quickly while retaining context.

Tech Optimizer

February 11, 2026

Hackers Used Hugging Face to Distribute Android Banking Trojans

Cybersecurity researchers have identified a malware campaign that exploited Hugging Face's AI infrastructure to distribute Android banking trojans. The attackers used a deceptive app called TrustBastion, which tricked users into installing what appeared to be legitimate security software. Upon installation, the app redirected users to an encrypted endpoint that linked to Hugging Face repositories, allowing the malware to evade traditional security measures. The campaign generated new malware variants every 15 minutes, resulting in over 6,000 commits in about 29 days. It infected thousands of victims globally, particularly in regions with high smartphone banking usage but lower mobile security awareness. The operation is believed to be linked to an established cybercriminal group. Security experts warn that this incident highlights vulnerabilities in trusted platforms and calls for improved security measures, including behavioral analysis systems and verification of application authenticity. The incident has also sparked discussions about the need for enhanced security protocols for AI platforms.

Tech Optimizer

January 3, 2026

Why AI Workloads Are Fueling a Move Back to Postgres

The database landscape has seen transformative shifts with the rise and fall of various technologies, leading to a resurgence in the adoption of PostgreSQL (Postgres) as a favored database system for modern AI applications. AI workloads have disrupted traditional managed database models, which were designed for predictable workloads, by introducing demands for high parallelism and continuous ingestion of large datasets. Engineering teams face challenges when scaling managed Postgres instances due to IOPS limits, throttling, and latency spikes. Major database vendors are emphasizing PostgreSQL compatibility, recognizing the need for a stable SQL system with strong transactional support. Despite its advantages, traditional managed database models present limitations, including reliance on network storage that introduces latency and IOPS constraints. A new model called Bring Your Own Cloud (BYOC) Postgres is emerging, allowing organizations to control their cloud environments while leveraging managed services, improving performance by colocating data with compute resources. Utilizing local NVMe storage with Postgres can enhance performance by reducing latency and IOPS limitations. Modern Postgres platforms facilitate efficient cloning processes that support parallel experiments in AI development, leading to shorter feedback loops and faster iteration cycles. The robust ecosystem of Postgres allows it to handle diverse workloads, streamlining data management and minimizing operational complexity. Developer velocity is a critical factor in the shift back to Postgres, as it enables rapid feedback and safe testing environments, empowering teams to innovate more effectively.

Winsage

December 22, 2025

Windows 11 Paint now lets you hide ‘toolbar,’ and is also getting new AI features

Microsoft Paint has introduced a feature that allows users to automatically hide the toolbar for a cleaner workspace. This toggle keeps the toolbar hidden until needed, enhancing the user experience, especially for precision tasks. Additionally, Paint is incorporating AI features under the “Windows AI Labs” program, including the “Generative Edit” tool, which allows users to modify images through text prompts. This AI model is proprietary and not based on GPT technology. Microsoft encourages user feedback on AI-generated content and notes that features in the AI Labs may not be permanent, as they have previously tested various functionalities that did not make it into the final version of Paint.