AI & ML Research 24 Hours

Last updated: July 30, 2026, 11:33 AM ET

LLM Security and Control

Researchers have identified a fundamental flaw rendering large language models inherently vulnerable to attacks, an issue they presented at the International Conference on Machine Learning. This vulnerability means LLMs cannot be made fully secure. Separately, prompt engineering, while useful for crafting better prompts, fails to address the critical challenge of safe prompt modification, leading to production failures like broken live calls from simple variable renames.

LLM Behavior and Application

Understanding the temperature parameter in LLMs can be explained through statistical physics, revealing the transition from deterministic predictions to generative AI. Building a "company brain" requires more than just a demo, as turning scattered internal knowledge into a usable format for LLMs represents just 5% of the actual work involved in creating a reliable context layer.

Mathematical Concepts and Engineering Solutions

A simplified view of the Jacobian conjecture can be illustrated using a concrete 3D function, visualized with familiar geometric ideas and basic algebra, even though the full conjecture is stated over abstract fields. In a different domain, a struggling geothermal plant in New Mexico was revived after being purchased by Zanskar, offering a second chance for the facility.