12 h. ago Bilinear sequence regression model shows why AI excels at learning from word sequences

Researchers at EPFL have created a mathematical model that helps explain how breaking language into sequences makes modern AI-like chatbots so good at understanding and using words. The work is published in the journal Physical Review X.

Politics

3 d. ago Lost in the middle: How LLM architecture and training data shape AI's position bias

Research has shown that large language models (LLMs) tend to overemphasize information at the beginning and end of a document or conversation, while neglecting the middle.

Events

6 d. ago Benchmarking hallucinations: New metric tracks where multimodal reasoning models go wrong

Over the past decades, computer scientists have introduced increasingly sophisticated machine learning-based models, which can perform remarkably well on various tasks. These include multimodal large language models (MLLMs), systems that can process and generate different types of data, predominantly texts, images and videos.

Politics

8 d. ago Six ways AI can partner with us in creative inquiry, inspired by media theorist Marshall McLuhan

Today's large language models (LLMs) process information across disciplines at unprecedented speed and are challenging higher education to rethink teaching, learning and disciplinary structures.

Politics

9 d. ago Uptime Industries wants to boost localized AI usage with an ‘AI

The Lemony AI device can run large language models, AI agents and automated workflows locally.

Politics

2 w. ago How can we tell if AI is lying? New method tests whether AI explanations are truthful

Given the recent explosion of large language models (LLMs) that can make convincingly human-like statements, it makes sense that there's been a deepened focus on developing the models to be able to explain how they make decisions. But how can we be sure that what they're saying is the truth?

Politics

2 w. ago A neuroscientist explains why it's impossible for AI to 'understand' language

As meaning-makers, we use spoken or signed language to understand our experiences in the world around us. The emergence of generative artificial intelligence such as ChatGPT (using large language models) calls into question the very notion of how to define "meaning."

Science

2 w. ago X changes its terms to bar training of AI models using its content

Social network X has changed its developer agreement to prevent third parties from using the platform's content to train large language models.

Politics

2 w. ago Beyond translation: Multilingual benchmark makes AI multicultural

Imagine asking a conversational bot like Claude or ChatGPT a legal question in Greek about local traffic regulations. Within seconds, it replies in fluent Greek with an answer based on UK law. The model understood the language, but not the jurisdiction. This kind of failure illustrates the inability of large language models (LLMs) to understand regional, cultural and, in this case, legal knowledge, while at the same time being proficient in many of the world's languages.

Politics

2 w. ago Teaching AI models the broad strokes to sketch more like humans do

SketchAgent, a drawing system developed by MIT CSAIL researchers, sketches up concepts stroke-by-stroke, teaching language models to visually express concepts on their own and collaborate with humans.

Science

2 w. ago Neurosymbolic AI is the answer to large language models' inability to stop hallucinating

The main problem with big tech's experiment with artificial intelligence (AI) is not that it could take over humanity. It's that large language models (LLMs) like OpenAI's ChatGPT, Google's Gemini and Meta's Llama continue to get things wrong, and the problem is intractable.

Politics

2 w. ago Day 5 of TechCrunch Sessions: AI Trivia Countdown — Test your knowledge, win big tickets

Think you know which AI beat a human champion in the game of Go? Or which company developed the Transformer architecture that powers many modern language models? This is your moment to shine — and score two tickets for the price of one ($200 value). Put your AI knowledge to the test for a chance […]

Technology

3 w. ago Team teaches AI models to spot misleading scientific reporting

Artificial intelligence isn't always a reliable source of information: large language models (LLMs) like Llama and ChatGPT can be prone to "hallucinating" and inventing bogus facts. But what if AI could be used to detect mistaken or distorted claims, and help people find their way more confidently through a sea of potential distortions online and elsewhere?

Politics

3 w. ago Large language models struggle with coordination in social and cooperative games

Large language models (LLMs), such as the model underpinning the functioning of the popular conversational platform ChatGPT, are now widely used by people worldwide to source information, as well as to summarize, analyze and generate texts. Studies examining the responses provided by LLMs in different scenarios could help to gain a deeper understanding of their tendencies during social interactions, which could fuel their future advancement.

Politics

3 w. ago Dark LLMs: It's still easy to trick most AI chatbots into providing harmful information, study finds

A group of AI researchers at Ben Gurion University of the Negev, in Israel, has found that despite efforts by large language model (LLM) makers, most commonly available chatbots are still easily tricked into generating harmful and sometimes illegal information.

Politics

4 w. ago Large language model accurately predicts online chat derailments

Online chat rooms and social networking platforms frequently experience harmful behavior as discussions drift from their intended topics toward personal conflict. Traditional predictive models typically depend on platform-specific data, limiting their applicability and increasing implementation costs.

Politics