Here are 12 AI prompt templates professionals can use to write, plan, debug, analyze data, and get more useful output from AI tools.

Your weekly cybersecurity roundup covering the latest threats, exploits, vulnerabilities, and security news you need to know.

Don’t act surprised when your AI agent starts printing millions of pages of cabbages, deletes an entire system partition, or sends your life savings to fraudsters – they’re just being helpful.

Abstract: This research explores the capabilities of large language models (LLMs) in the context of additive manufacturing, with a focus on generating G-code from natural language prompts. Three ...

Experimental - This project is still in development, and not ready for the prime time. A minimal, secure Python interpreter written in Rust for use by AI. Monty avoids the cost, latency, complexity ...

ChatGPT now shows ads to U.S. free-tier users this week, and sponsored placements can hit on the very first message a user sends. Unlike search engines that wait for signals of intent, brands ...

Leaked API keys are nothing new, but the scale of the problem in front-end code has been largely a mystery - until now. Intruder’s research team built a new secrets detection method and scanned 5 ...

Semantic fingerprints for intent-based Python code search — 50–100x faster index lookups, 10–50x fewer tokens for AI agents. Symdex-100 generates compact, structured metadata ("Cyphers") for every ...

Abstract: Large Code Models (LCMs) have demonstrated potential in advancing various code intelligence tasks. However, their effectiveness can be greatly influenced by the quality of the prompts.