#Artificial Intelligence

New research suggests our perception of AI creativity isn't inherent to the AI itself, but depends on how much of the creative *process* we observe. This impacts AI design and how we judge creativity in general.

This article discusses the evolution of interacting with Large Language Models (LLMs), moving from simple 'prompt engineering' to a more scientific approach. It highlights the importance of incorporating human feedback to improve LLM performance and understanding.

Amazon is selling AI-generated books on ADHD management, marketed as expert advice. Experts warn these books contain 'dangerous nonsense' and raise ethical concerns about Amazon's oversight of chatbot-created content on sensitive health topics.

This article explores how large language model (LLM)-based agents can revolutionize recommendation systems. It discusses their capabilities in communication, instruction following, and task execution, suggesting a shift in recommendation formats and interaction.

An EU audit reveals the plan to produce 20% of global microchips by 2030 is unrealistic and “deeply disconnected from reality,” deemed largely aspirational with significant challenges ahead.

Reid Hoffman, LinkedIn's co-founder, believes AI, as a powerful intelligence amplifier, can benefit society if introduced thoughtfully. He emphasizes the importance of using AI responsibly to enhance human capabilities.

AI's impact on healthcare is growing, with innovations such as identifying fractures and predicting ambulance needs showcasing its transformative potential, despite the sector's slower adoption rate.

The article explores the potential for AI to replace human financial advisors by examining whether technology can replicate the trust at the heart of financial relationships.

Gemini Robotics introduces AI models, Gemini Robotics and Gemini Robotics-ER, aimed at enhancing robots' abilities to understand, act, and respond effectively to the physical world, advancing AI integration in robotics.