language models Archives

AppWizard

April 6, 2026

Veteran indie developer scared to reveal new game in case it gets “slurped up by AI”

Lucas Pope is a notable game developer known for creating "Papers, Please" and "The Return of the Obra Dinn." He has since worked on smaller projects, including Mars After Midnight, but has not released anything on Steam recently. During a podcast, Pope expressed concerns about the impact of artificial intelligence on game development, particularly regarding idea theft and the potential for his work to be copied or imitated. He feels uneasy discussing ongoing projects due to these risks and reflects on the pressure of following up his previous successes. Despite these worries, Pope's reputation allows him to avoid some challenges faced by less-known developers, and his next project is expected to generate significant interest.

Tech Optimizer

April 5, 2026

z3soft sets a new standard in the security market with next-generation integrated security solutions

z3soft is developing the Agentic Security Platform (ASP), which integrates large language models, antivirus solutions, and comprehensive file security to shift from passive to proactive cybersecurity measures. CEO Park Ju-seon highlights the need for a broader market strategy to address challenges in the domestic security market, which is dominated by a few players. The ASP aims to combine legacy security systems with AI technology for enhanced security management. z3soft is focusing on creating a 'cyber immunity' solution for AI environments, integrating Zero Trust principles for data protection. The company plans to foster an integrated security ecosystem through partnerships with smaller firms and aims to make advanced security solutions accessible to small and medium-sized enterprises (SMEs) via a subscription model. z3soft intends to validate its business model in Japan and the U.S. before introducing it to South Korea, with goals set for market entry by 2027 and the launch of zero-trust firewalls in Japan and an integrated security platform in the U.S. Park anticipates that significant changes in the domestic market may take five to ten years.

Winsage

March 24, 2026

Microsoft Announces WSL Upgrades for Windows 11

Microsoft has announced enhancements for the Windows Subsystem for Linux (WSL) to improve the experience for developers using Linux tools on Windows. Key areas of focus include: - Faster file performance between Linux and Windows - Improved network compatibility and throughput - A more streamlined first-time setup and onboarding experience - Enhanced enterprise management with stronger policy control, security, and governance Networking improvements are particularly significant, addressing past issues with mirrored networking that caused “No route to host” errors. Additionally, a new dxgkrnl driver patch has been submitted to improve GPU support for WSL2, introducing compute-only GPU capabilities and support for multiple virtual GPUs. Pavan Davuluri, Microsoft VP for Windows and Devices, emphasized ongoing quality improvements for Windows 11, including reducing Copilot integration in built-in applications, enhancing Bluetooth and USB reliability, and improving search functionality and responsiveness. Despite these commitments, concerns remain, such as the mandatory Microsoft Account sign-in requirement.

Tech Optimizer

March 17, 2026

EDB Accelerates Postgres for the Agentic Workforce Era with NVIDIA AI Infrastructure and Interactive Analytics

EnterpriseDB (EDB) has advanced its integration with NVIDIA's cuDF for Apache Spark to enhance Postgres® performance on NVIDIA AI infrastructure, achieving analytics capabilities up to 100 times faster than traditional methods. EDB emphasizes the need for a real-time analytics framework to address challenges posed by fragmented data silos and inefficient analytics processes. Key features of EDB Postgres AI include GPU-acceleration for interactive analytics, NVIDIA NIM model serving, fully air-gapped support for private registries, and high-speed retrieval with NVIDIA NeMo Retriever. Research indicates only 13% of enterprises have transitioned to production-scale agentic deployments, which report five times higher ROI. The EDB PG AI Analytics Engine can achieve 50–100x faster analytics on large datasets, supports lakehouse architectures, and ensures workload isolation and governance. EDB PG AI is positioned as a secure, compliant, and scalable platform for operationalizing data and AI workloads.

TrendTechie

March 12, 2026

Meta утверждает, что раздача пиратских книг через торренты подпадает под определение “добросовестного использования”

Meta is facing a class-action lawsuit from authors over the use of pirated books for training its Llama language model, arguing that the distribution of these books via BitTorrent constitutes fair use. The company used shadow libraries like Anna's Archive to gather text, and a California court has partially ruled that using pirated books for training large language models falls under fair use, although the issue of copyright infringement related to downloading and distribution via BitTorrent remains unresolved. The plaintiffs claim Meta has not previously indicated a fair use defense regarding file-sharing, while Meta asserts that authors have not shown evidence of their works being reproduced by the Llama model. The judge will ultimately decide on the admissibility of Meta's defense.

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

March 4, 2026

Google stuffs Gemini into Android Studio Panda 2 to build apps from prompts

Google has released Android Studio Panda 2, featuring an AI agent that generates applications and an AI-enhanced version upgrade assistant. This version is based on JetBrains IntelliJ IDEA's community edition. The AI capabilities are powered by Gemini, Google's large language models, with a free tier offering a lightweight version of Gemini 2.5 Pro. Developers can create prototypes with a single prompt, and the AI agent automates project planning, code generation, error analysis, and self-correction. Users must sign into Gemini and enable AI integration, with data collection practices in place. A demonstration showed the AI generating a bridge deal analyzer, which functioned but had inaccuracies in the generated code. Android Studio also experienced performance issues and deprecated certain features, including the Custom View preview and 3D mode in the layout inspector.

Tech Optimizer

February 14, 2026

PostgreSQL on Azure supercharged for AI

Over 80% of developers now incorporate AI tools into their workflows. PostgreSQL is preferred by 78.6% of developers engaged in AI and real-time applications. Microsoft has enhanced its PostgreSQL managed services to meet contemporary developer needs, contributing over 500 commits to the open-source project. The Azure Database for PostgreSQL supports both lift-and-shift and new open-source workloads, while the newly introduced Azure HorizonDB is designed for AI-native workloads. Developers can provision PostgreSQL instances directly from Visual Studio Code, and GitHub Copilot assists in writing and optimizing SQL queries. Azure Database for PostgreSQL facilitates integration with Microsoft Foundry for AI applications and supports high-performance similarity search with DiskANN vector indexing. PostgreSQL 18 is now available on Azure, offering enhanced performance and scalability. Nasdaq has modernized its Boardvantage platform using Azure Database for PostgreSQL and Microsoft Foundry to integrate AI for governance tasks. Azure HorizonDB is a fully managed PostgreSQL-compatible service designed for AI-native workloads, currently in private preview.

AppWizard

January 29, 2026

‘Secret’ car button can save lost drivers without opening Google Maps…

News Group Newspapers Limited has reminded users of its strict policies against automated access to its content, prohibiting data mining and activities related to artificial intelligence, machine learning, or large language models. For commercial use inquiries, users can contact crawlpermission@news.co.uk. Legitimate users mistakenly flagged by the system are encouraged to reach out to customer support at help@thesun.co.uk for clarification.