An interview with J. Craig Wheeler, Professor of astronomy of the University of Texas at Austin about his book, The Path to Singularity.
Explore how synthetic systems merge with organic experience in The Artificiality. Follow the journey from information to consciousness, where AI evolves from passive tools to active participants, reshaping reality, redefining intelligence, and challenging the boundaries of human experience.
Congratulations to the authors of of the Artificiality Book Awards 2024!
Artificiality Co-founders, Helen and Dave Edwards, were keynote speakers at the Western Insterstate Commission on Higher Education's meeting on the topic of AI & Higher Education.
As problems become more complex and interconnected, collective intelligence must evolve to keep pace, likely requiring AI systems as indispensable partners. 7 min read.
Our obsession with complexity as a route to making sense of AI.
In this episode, we speak with Julia Rhodes Davis, a Senior Advisor at Data & Society, about her recent report "Advancing Racial Equity Through Technology Policy" published by the AI Now Institute.
ChatGPT is about to celebrate its first birthday. It’s time for it to graduate from an experiment into a true product.
A new paper argues for analyzing AI systems like GPT through a "teleological" lens focused on the specific problem they were optimized to solve during training. 7 min read
Grounding her work in the problem of causation, Alicia Juarrero challenges previously held beliefs that only forceful impacts are causes. Constraints, she claims, bring about effects as well, and they enable the emergence of coherence.
New research from the Stanford Center for Research on Foundation Models shows that foundation models are largely mysterious.
A research review of A Myriad of Tongues: How Languages Reveal Differences in How We Think by Caleb Everett.
Jai Vipra is a research fellow at the AI Now Institute where she focuses on competition issues in frontier AI models. She recently published the report Computational Power and AI which focuses on compute as a core dependency in building large-scale AI.
Here’s the issue: the current business model doesn’t make sense because increasing usage conflicts with profits.
Writing and Conversations About AI (Not Written by AI)
