Multiple current and former Target employees confirmed that leaked source code samples posted by a threat actor match real ...

Amazon Web Services on Tuesday announced three new AI agents it calls “frontier agents,” including one designed to learn how you like to work and then operate on its own for days. Each of these agents ...

Thousands of credentials, authentication keys, and configuration data impacting organizations in sensitive sectors have been sitting in publicly accessible JSON snippets submitted to the JSONFormatter ...

claude code IGNORES allow permissions entries in settings.local.json and keeps asking permission for operations i've already permenantely allowed. example for ignored entries: "Bash(MSYS_NO_PATHCONV=1 ...

Abstract: Agile Product-Based Learning (Agile PdBL) promotes rapid product development in educational settings but often results in challenges related to code structure and maintainability. While ...

JSON Prompting is a technique for structuring instructions to AI models using the JavaScript Object Notation (JSON) format, making prompts clear, explicit, and machine-readable. Unlike traditional ...

The new science of “emergent misalignment” explores how PG-13 training data — insecure code, superstitious numbers or even extreme-sports advice — can open the door to AI’s dark side. There should ...

Everyone’s talking about JSON prompting like it’s the next big thing in AI. Look, here’s the deal. Just like every other “revolutionary” AI technique that gets hyped up, JSON prompting isn’t the only ...

Meta has refused to sign the European Union’s code of practice for its AI Act, weeks before the bloc’s rules for providers of general-purpose AI models take effect. “Europe is heading down the wrong ...

The use of network meta-analysis (NMA) in sport and exercise medicine (SEM) research continues to rise as it enables the comparison of multiple interventions that may not have been assessed in a ...

Abstract: Adversarial code examples are important to investigate the robustness of deep code models. Existing work on adversarial code example generation has shown promising results yet still falls ...