Subquadratic, a Miami-based startup, has introduced a groundbreaking model capable of processing a 12-million-token context window, surpassing existing limits. With its innovative Subquadratic Selective Attention architecture, the model claims remarkable performance in retrieval and efficiency, challenging the industry's reliance on traditional methods.

cPanel has issued a second emergency security patch in just ten days, following a major ransomware attack. Three new vulnerabilities have been identified, with two rated High severity. The urgency of these updates highlights critical flaws in system security, prompting swift action for server administrators.

France's parliamentary intelligence delegation is advocating for weakened encryption on messaging platforms like WhatsApp, Signal, and Telegram. They suggest allowing targeted access for law enforcement, framing this as a necessity for justice. Critics warn this could compromise privacy and lead to potential abuse of power.

Human typing habits influence token counts in surprising ways. This article explores how typos, word shapes, and conversational fillers can inflate costs without changing the intent of the text. Understanding these factors can help users optimize their input while managing expenses with text-based services.

OncoAgent introduces an open-source framework for clinical decision support in oncology, combining advanced AI techniques to ensure privacy and data sovereignty. With a dual-tier model architecture and a focus on evidence-based guidelines, it aims to enhance decision-making in complex cancer treatment scenarios.

The price of using the new GPT-5.5 model has significantly increased, with costs rising between 49% and 92% compared to GPT-5.4. Notably, while longer prompts generate fewer output tokens, shorter prompts experience cost hikes due to increased completion lengths. This analysis sheds light on the overall economic impact for users.

Mojo is a new programming language designed for high-performance coding across various hardware platforms. By combining Python's ease of use with Rust's memory safety, Mojo enables seamless GPU programming, efficient metaprogramming, and interoperability with Python. This article explores Mojo's features and future roadmap.

The Copy Fail vulnerability (CVE-2026-31431) allows local unprivileged users to gain root access in Linux containers. This article explores how this exploit can be executed in Podman's rootless containers and discusses the implications for security, comparing it to Docker's model and assessing risk mitigation strategies.

This article advocates for using Go as a straightforward solution for backend development. It highlights Go's simplicity, efficiency, and the power of its standard library, arguing that it eliminates unnecessary complexity often found in other languages. The author urges developers to embrace Go for its practical benefits.

In May 2026, Google unveiled its Google Cloud Fraud Defense, an update featuring a QR code challenge to verify human presence using device attestation. This raises concerns about access control on the open web while relying on Google-certified hardware, potentially barring users who prioritize privacy and security.

The Specula team explores the challenges of using Large Language Models (LLMs) to create accurate TLA+ specifications for computing systems. Their SysMoBench evaluates LLM-generated specs against real-world implementations, revealing common errors and showing that syntax correctness isn't sufficient for genuine system modeling.

This article follows Lachlan Davidson's unexpected discovery of a critical vulnerability named React2Shell in the React framework. Driven by curiosity, he delves into the intricacies of the Flight protocol, revealing how its design flaws can lead to remote code execution, impacting millions of websites.

The article explores the evolving landscape of vulnerability disclosure in tech, contrasting two cultures: "coordinated disclosure" and "bugs are bugs." With AI's influence on security practices, traditional long embargoes are becoming less effective and may risk increased exploitation. Shorter embargoes may be the future solution.

This article reflects on improvements in safety training for AI models, specifically focusing on the Claude family. It discusses lessons learned from addressing agentic misalignment and highlights effective training strategies, emphasizing the importance of understanding underlying principles rather than just demonstrating aligned behavior.

Heartland Information Services reflects on the evolution of software development from the era of outsourcing to AI-generated code. While production costs have plummeted, the challenge now lies in understanding and maintaining code. Emphasizing comprehension over mere output is essential for effective engineering in today's landscape.