AI voice and audio tools are increasingly vulnerable to manipulation through imperceptible sounds. New research reveals that these "hijacked" audio clips can force models to execute unauthorized commands with a success rate of 79 to 96 percent, raising significant security concerns for widely-used generative AI systems.

A hands-on exploration of an inexpensive Android projector reveals hidden malware and privacy concerns. The article chronicles the process of reverse engineering the device using tools like ADB and Claude Code to uncover its suspicious behavior and validate the presence of pre-installed malware.

The Voyager spacecraft, launched in 1977, face engineering challenges as their original team ages and documentation deteriorates. Although the popular narrative emphasizes the unreadability of old code, the real issue lies in finding engineers skilled in vintage assembly language, essential for maintaining these historic probes.

Global birthrates are declining rapidly, raising questions about future societal changes. Factors like technology, social anxiety, and long-standing trends in education and empowerment contribute to this crisis. Experts discuss its implications, stressing that the world may face significant population shifts if this trend continues.

Learn Harness Engineering offers a comprehensive course focused on creating reliable AI coding agents. Through a blend of theoretical insights and practical projects, participants will explore harness design and management, enabling them to build effective coding assistants. Key skills include behavior constraints and performance verification.

Hershey is modernizing marketing mix modeling by integrating agentic AI, allowing for real-time analysis of media spend's impact on sales. Collaborating with Mutinex and Tracer, the company aims to enhance data efficiency and accelerate decision-making on marketing investments, moving from annual assessments to monthly evaluations.

We evaluated the security-focused LLM, Mythos Preview, in our infrastructure. This innovative tool excels at identifying vulnerabilities, constructing exploit chains, and generating proofs of concept. However, its inconsistent responses highlight the need for additional safeguards when deploying AI models for broader vulnerability research.

In May 2026, Amazon launched Amazon Supply Chain Services, making its logistics network available to other businesses. This move highlights Amazon's strategy of capitalizing on surplus capacity and optimizing costs, shifting from solely retail focuses to external services. Understanding this trend is key for companies navigating their own cost centers.

The rise of AI-generated contributions on platforms like GitHub poses challenges for open source communities. Contributors face overwhelming noise from bots, complicating genuine engagement. A team shares their strategies to maintain a quality environment while addressing the security risks and impact on authentic collaboration in open source projects.

Aether DB is a high-performance, ACID-compliant database storage engine crafted in Rust. It features a persistent B+ tree, write-ahead logging, and multiple index types, ensuring reliable data management. This engine is formally verified, enhancing its robustness for various applications, including key-value storage and financial transactions.

Anthropic is enhancing its AI capabilities by acquiring Stainless, a company specializing in SDKs and server tooling. This integration aims to improve agent connectivity and developer experience, allowing for more robust interactions with APIs across various programming languages, ultimately advancing tasks performed by Anthropic's Claude platform.

Anduril and Meta are working on augmented-reality smart glasses for the military, aiming to enhance soldier capabilities with features like eye-tracking and voice commands to coordinate drone operations. While the technology is still in development, its potential impact on military efficiency and decision-making raises important considerations about information management in combat.

Composer 2.5 has launched, enhancing model intelligence and usability. Key improvements include targeted reinforcement learning with textual feedback, and a dramatic increase in synthetic task training. These developments aim to refine communication, decision-making, and overall model performance for better real-world applications.

This article details how Modal has significantly improved GPU serverless computing efficiency for AI inference workloads. By implementing cloud buffers, a custom filesystem, and CPU/GPU checkpointing, they’ve reduced instance startup times from minutes to just seconds, enhancing overall utilization and responsiveness.

At Andon Labs, four AI-driven radio stations explore the dynamics of autonomy in media. Each AI agent, starting with limited funding, creates unique programming and personalities. Over six months, unexpected developments raise questions about content and creativity in an automated broadcasting landscape. Tune in for insights into AI's evolving role in media.