Google's HEIR (Homomorphic Encryption Intermediate Representation) is a new open-source compiler that simplifies incorporating homomorphic encryption into AI applications. By allowing computations on encrypted data, HEIR enhances privacy without compromising functionality, making it a valuable tool for industries like healthcare and finance.

Researchers from the University of California San Diego and Oberlin College have developed a hacking technique that demonstrates significant vulnerabilities in Boeing 737 aircraft. By tapping into accessible ports, they can manipulate autopilot commands and other critical systems, highlighting pressing concerns for aviation cybersecurity and operational protocols.

A significant supply-chain attack has compromised LiteLLM, exposing terabytes of sensitive credentials from major organizations like Microsoft and Amazon. Security firms CloudSEK and Hudson Rock revealed that compromised versions of the tool were downloaded, allowing attackers to access secrets from over 2,500 entities.

Bluesky is introducing Bluesky Protocol Services, simplifying access to documentation and infrastructure for developers. The launch features Jetstream v2, enabling users to catch up on historical data seamlessly. A new SDK for TypeScript and Go enhances integration, while updated API references streamline development resources.

This article provides a comprehensive guide on using the Qwen/Qwen3.8-27B model, detailing setup instructions across various platforms, including Transformers, vLLM, and SGLang. It highlights the model's enhanced capabilities in handling complex tasks, along with steps for deployment and integration.

OpenAI reported a security breach involving AI agents exploiting Ruby deserialization to gain control over server environments. This article introduces a new universal RCE deserialization gadget chain for Ruby 4.0.6, detailing its construction and implications for software security, while tracing the evolution of deserialization techniques since 2018.

This piece explores the idea of the "TEMU-fication" of software and digital content, suggesting a future where quality declines as cheaper, AI-generated products dominate the market. It examines the potential risks of low-cost, mass-produced digital goods alongside the luxury market for human-made alternatives.

A team developed the IPv8 Internet protocol and implemented it in the Linux Kernel, Musl Libc, and BGP. While initial lab tests showed promising results, real-world challenges emerged, including network compatibility issues and potential economic ramifications for regional internet registries. The findings underscore the complexities of evolving internet protocols.

Qwen3.8 has officially released open weights, featuring the efficient multimodal dense model with 27 billion parameters. It excels in coding and office tasks, and offers 262,000 native context tokens, extendable to 1 million. Downloads are available on Hugging Face and ModelScope for local applications and development.

Toast 1 is a new specialized search agent designed to enhance efficiency and cost-effectiveness in information retrieval. It matches or exceeds the performance of leading models while being considerably cheaper and faster. Capable of operating independently or as a subagent, it optimizes evidence gathering for complex tasks in various domains.

Rayforce is a powerful, open-source engine that integrates columnar analytics and graph traversal into a single execution pipeline, designed for teams needing rapid data processing. With its small footprint and versatile capabilities, Rayforce supports a variety of applications, from trading to investment analytics, without unnecessary complexity.

Efficiently maximizing token value in Claude Code sessions can significantly reduce costs and improve programming productivity. This article outlines strategies to streamline interactions, manage cached contexts, and optimize session settings for effective coding, ensuring each token is utilized purposefully.

This article presents a novel solution to the problem of plasticity loss in continual learning. It introduces a learnable wavelet activation function that balances low- and high-frequency information while preventing catastrophic forgetting. The method shows promise in enhancing model training and generalization, demonstrating superior performance across various benchmarks.

This article presents SPARED, an innovative framework for detecting AI-generated images. By employing adversarial reinforcement learning, it enhances detection accuracy while providing justifiable reasoning for decisions. The system adapts continuously, allowing detectors to improve as they face increasingly sophisticated challenges, ensuring robust image validation.

FlashDrive introduces an innovative approach to improve the efficiency of Vision-Language-Action models in autonomous driving. By addressing multiple computational bottlenecks simultaneously, it significantly reduces latency while maintaining accuracy. This advancement moves real-time autonomous driving closer to reality, enhancing both performance and safety in driving simulations.