Daniel M. Russell's talk will review the successes and failures of past UX research approaches, drawing on decades of experience at the intersection of human experience and intelligent systems, to explore how AI will shape future knowledge practices.
Pope Leo XIV explained that his name references Pope Leo XIII, who addressed social issues during the industrial revolution, and that AI presents similar challenges for human dignity, justice, and labor. The Catholic Church has been increasingly interested in AI and its ethical implications.
This GitHub repository contains a re-implementation of the IPL-V programming language and the Logic Theorist (LT) program. It includes the original code transcribed into a TSV format and converted to Lisp, along with documentation and debugging tools.
This paper surveys recent replication studies of DeepSeek-R1, focusing on Supervised Fine-Tuning (SFT) and Reinforcement Learning from Verifiable Rewards (RLVR). It details data construction, method design, and training procedures, offering insights and anticipating future research directions for reasoning language models.
Jeff Shrager has reanimated LT in IPL-V with a new implementation.
Proceedings from the Thirty-Ninth AAAI Conference on Artificial Intelligence, including papers from AAAI-25, IAAI-25, and EAAI-25. The conference covered topics like machine learning, natural language processing, game theory, and human-AI interaction, with a focus on bridging different areas of AI and related disciplines.
The article explores the potential negative psychological impacts of interacting with AI chatbots, particularly concerning the simulation of empathy and the development of emotional intelligence, especially in children. It highlights Sherry Turkle's concerns about the erosion of genuine human connection and the risks of relying on machines for emotional support.
Weiwei Yang's research focuses on resource-efficient alt-SGD ML methods inspired by biological learning, aimed at democratizing AI by addressing sustainability, robustness, scalability, and efficiency in ML.
The article explores the concept of consciousness, arguing for a reductionist approach by Alan J. McComas. It discusses how consciousness is a function of the brain, with neural activities often preceding awareness. The piece also examines the role of large language models in chatbots, highlighting potential manipulative techniques and the need for vigilance in interactions. Additionally, it addresses the integration of AI in research and evolving journal standards.
Researchers discovered long-lost computer code and used it to resurrect the early chatbot ELIZA from MIT. Named after Eliza Doolittle from 'Pygmalion,' ELIZA was developed in the 1960s by MIT professor Joseph Weizenbaum. It was designed to emulate a psychotherapist in conversation and used a unique programming language called MAD-SLIP. Rediscovered in 2021, the original code was brought back to life after 60 years, demonstrating the chatbot's functionality and highlighting the historical significance of early artificial intelligence.
