Gods and Robots In this episode of the podcast we shake things up! Neil is on the guest side of the table with his partner Rabbi Laura Janner-Klausner to discuss their upcoming project Gods and Robots. Katherine is joined on the host side by friend of the show professor Michael Littman. See... See More Episodes arXiv Whitepapers A Confederacy of Models: a Comprehensive Evaluation of LLMs on Creative Writing We evaluate a range of recent LLMs on English creative writing, a challenging and complex task that requires imagination, coherence, and style. We use a difficult, open-ended scenario chosen to avoid training data reuse: an epic narration of a single combat between Ignatius J. Reilly, the... Fast Detection of Phase Transitions with Multi-Task Learning-by-Confusion Machine learning has been successfully used to study phase transitions. One of the most popular approaches to identifying critical points from data without prior knowledge of the underlying phases is the learning-by-confusion scheme. As input, it requires system samples drawn from a grid of the... DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models Generative Pre-trained Transformer (GPT) models have exhibited exciting progress in their capabilities, capturing the interest of practitioners and the public alike. Yet, while the literature on the trustworthiness of GPT models remains limited, practitioners have proposed employing capable GPT... More featured content News Articles Artificial intelligence can discriminate on the basis of race and gender, and also age How well do explanation methods for machine-learning models work? Stay in the loop. Subscribe to our newsletter for a weekly update on the latest podcast, news, events, and jobs postings. E-mail Leave this field blank Tackling hard computational problems When researchers don’t have the proteins they need, they can get AI to ‘hallucinate’ new structures Seeing the plasma edge of fusion experiments in new ways with artificial intelligence The problem with machine translation: beware the wisdom of the crowd Perfecting pitch perception Fine-Tuning Transformer Model for Invoice Recognition Nonsense can make sense to machine-learning models Our casual use of facial analysis tools can lead to more sinister applications More news