SymbolicAI: A framework for logic-based approaches combining generative models and solvers

Generative AI and the Workforce

Shanahan, M. (2022). Talking about large language models.

Proactive Detection of Voice Cloning with Localized Watermarking

Black-Box Access is Insufficient for Rigorous AI Audits

Large Language Models are Superpositions of All Characters: Attaining Arbitrary Role-play via Self-Alignment

DSI++: Updating Transformer Memory with New Documents

Code Generation with AlphaCodium: From Prompt Engineering to Flow Engineering

Meta-Prompting: Enhancing Language Models with Task-Agnostic Scaffolding

Serious Games and AI: Challenges and Opportunities for Computational Social Science

The Ethics of AI in Games

A survey of Generative AI Applications

A Cyberpunk 2077 perspective on the prediction and understanding of future technology

Towards Conversational Diagnostic AI

Lumiere: A Space-Time Diffusion Model for Video Generation

Health-LLM: Large Language Models for Health Prediction via Wearable Sensor Data

Beyond AI Exposure: Which Tasks are Cost-Effective to Automate with Computer Vision?

Human Favoritism, Not AI Aversion: People’s Perceptions (and Bias) Toward Generative AI, Human Experts, and Human-GAI Collaboration in Persuasive Content Generation

A generative model of memory construction and consolidation

Self-Rewarding Language Models

Close encounters of the primordial kind: a new observable for primordial black holes as dark matter

C-Suite Outlook 2024: Leading for Tomorrow

Rule the Joule: An Energy Management Design Guide for Self-Powered Sensors | IEEE Journals & Magazine | IEEE Xplore

Solving olympiad geometry without human demonstrations

Key concepts in artificial intelligence and technologies 4.0 in services

Mission: Impossible Language Models

Vol. 12 No. 1 (2021): Marxist Transhumanism and/or Transhumanist Marxism? | New Proposals: Journal of Marxism and Interdisciplinary Inquiry

Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training

The AI Race: Why Current Neural Network-based Architectures are a Poor Basis for Artificial General Intelligence | Journal of Artificial Intelligence Research

Introduction to Digital Humanism