Tech

Generative AIs may not be as creative as we assume. Publishing in the journal Patterns, researchers show that when image-generating and image-describing AIs pass the same descriptive scene back and forth, they quickly veer off […]

Ph.D. candidate Yuchen Lian (LIACS) wants to understand why human languages look the way they do—and find inspiration to improve AI along the way. She defended her thesis on 12 December.This post was originally published […]

Most languages use word position and sentence structure to extract meaning. For example, “The cat sat on the box,” is not the same as “The box was on the cat.” Over a long text, like […]

No matter how much data they learn, why do artificial intelligence (AI) models often miss the mark on human intent? Conventional comparison learning, designed to help AI understand human preferences, has frequently led to confusion […]

Today’s artificial intelligence models can’t even tie their own shoes.This post was originally published on this website.

Researchers at TU Wien have discovered an unexpected connection between two very different areas of artificial intelligence: Large Language Models (LLMs) can help solve logical problems—without actually “understanding” them.This post was originally published on this […]

If you open a banking app, play a mobile game or scroll through a news feed every day while riding the bus, your commuting routine is probably bolstering your smartphone habit, according to new research […]

As language models (LMs) improve at tasks like image generation, trivia questions, and simple math, you might think that human-like reasoning is around the corner. In reality, they still trail us by a wide margin […]

Large language models (LLMs), artificial intelligence (AI) systems that can process and generate texts in various languages, are now widely used worldwide to create written content, source information and even to code websites or applications. […]