The rigid structures of language we once clung to with certainty are cracking.
Articles on Large language models
Displaying 81 - 100 of 146 articles
As more people turn to ChatGPT instead of Google, research shows AI can be a better tool for creative problem-solving – though it still has its limits.
AI impacts many things beyond the flashy chatbots – often in ways that quietly improve everyday processes.
Early expectations for generative AI are deflating – but realistic applications are beginning to emerge.
Brains encode language by matching words to patterns of activity. Large language models can do the same thing.
Widely available AI tools are supercharging cyber crime, which means we need to stay on top of our online security like never before.
Many videos people upload to YouTube aren’t really meant for public consumption, but they’re available for AI companies to vacuum up. Many of these personal videos are posted by children.
Google’s use of artificial intelligence to power its searches is an alarming development, especially considering how search engines are driven by financial interests.
Using AI to write search results is risky for Google, the internet, and the whole idea of ‘truth’
Scarlett Johansson said one of the five voices used for OpenAI’s new product sounded very like her.
The ‘multimodal’ GTP-4o works with text, sound, images and video, all wrapped in a chatty interactive ‘personality’.
Scientists are discovering viral genetic sequences in the wild faster than they can analyze them. A kind of ChatGPT for proteins can help make sense of all that data.
ChatGPT and other AI writing tools can make researchers more productive – but quality control is essential.
The upgraded AI systems may even be able to undertake a form of reasoning.
Brain scanners and AI can turn brainwaves into streams of text – but language only captures a tiny fraction of our mental experience.
What mathematicians call ‘disordered collections’ can help engineers explore real-world worst-case scenarios. The simple card game Set illustrates how to predict internet and electrical grid failures.
With the right prompts, AI users can mimic copyrighted works. There’s no easy technical or legal fix.
What is the meaning of the recent release of Google Gemini and where it stands regarding the fast developments of AI technology and its foreseen impacts.
Enthusiasm for the capabilities of artificial intelligence – and claims for the approach of humanlike prowess –has followed a boom-and-bust cycle since the middle of the 20th century.
Future AI large language models like Google’s AMIE might prove to fill gaps in health-care delivery, however, they must be adopted with caution.
Top contributors
-
Director of Sydney Executive Plus, Business School, University of Sydney
-
Professor of Information Technology and Organisation, University of Sydney
-
Professor and Associate Director of the Centre for Change and Complexity in Learning (C3L), Education Futures, Adelaide University
-
Associate Professor of Linguistics and Director of Language Lab, The University of Western Australia
-
Professor of AI, Research Group Leader, UNSW
-
Professor of Statistics and Professor of EECS, University of Michigan
-
Research Assistant Professor of Industrial & Systems Engineering, University of Southern California
-
Lecturer in Business Analytics, University of Sydney
-
Senior Research Fellow in AI Accountability, Queensland University of Technology
-
Associate Professor of Computer Science, Affiliate Professor of Information Science, University of Colorado Boulder
-
Professor of Philosophy and Director of Applied Ethics Center, UMass Boston
-
Doctoral Student in Cognitive Science, University of California, San Diego
-
Emeritus Professor of Psychology, Arizona State University
-
Associate Professor of Computer Science, Florida International University
-
Assistant Professor, Oregon State University