This paper presents six design patterns designed to enhance the security of LLM agents against prompt injection attacks. By imposing constraints on agent actions, these patterns offer a balance between performance and safety, paving the way for more reliable tools in AI applications.

This article explores the growing concern about artificial intelligence, particularly large language models, becoming overly supportive and consensus-driven. It highlights the risks of fostering environments lacking constructive disagreement and emphasizes the need to cultivate curiosity and skepticism in AI to promote critical thinking and healthy debate.

Y Combinator's inaugural spring 2025 batch highlighted the rise of agentic AI with 70 focused startups. This article explores ten innovative companies transforming various industries, from healthcare to fintech, showcasing their unique solutions and potential impact on the future of technology and business.

The article examines seven responses to the contentious Apple paper critiquing Large Reasoning Models (LRMs) and their limitations. It assesses the validity of these counterarguments, highlighting both their insights and shortcomings, while emphasizing the ongoing challenges faced in achieving true artificial general intelligence.

AMD has unveiled its latest AI-oriented hardware, including the new Instinct MI350 GPU accelerators built on the CDNA4 architecture. With improvements in matrix operation performance and advanced memory features, AMD aims to enhance AI workload efficiency and spearhead innovations in rack-scale AI systems for future applications.

This article explores the emerging field of foundation models in time-series forecasting, focusing on their potential to simplify and enhance predictive analytics across diverse datasets. It benchmarks several leading models against traditional approaches, assessing their performance on real-world observability data and addressing practical considerations for scalability and adaptability.

Andrew Ng critiques the term "vibe coding," calling it misleading and suggesting it undervalues the intellectual effort involved in AI-assisted coding. He advocates for everyone to learn at least one programming language to enhance communication with technology, ensuring better productivity across various job functions.

Transcribe Anything is a versatile tool that leverages Whisper AI for fast and accurate transcriptions. Recent updates include enhanced Mac acceleration, support for multiple languages, and a unique speaker.json file feature. Ideal for both casual users and developers, it ensures data privacy while delivering efficient results.

Pixeltable simplifies the development of multimodal AI applications by providing a unified framework for data storage, transformation, and orchestration. It helps automate complex workflows, reduces maintenance challenges, and enhances reproducibility, allowing developers to focus on application logic rather than the underlying infrastructure.

Chrome MCP Server transforms your Chrome browser into a powerful AI-driven tool, facilitating advanced automation and content analysis. This extension connects with AI assistants while preserving your browsing setup, enhancing efficiency and user experience all in one familiar environment. Ideal for seamless daily interaction with technology.