From Artificiality This Week * Our Gathering: Our Artificiality Summit 2025 will be held on October 23-25 in Bend, Oregon. The
AI agents are evolving with orchestration layers enabling modular, autonomous systems beyond traditional SaaS, reshaping workflows, labor, and software design.
David Wolpert warns AI networks may evolve beyond human math, creating unpredictable, emergent intelligence that defies control and comprehension.
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.
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.
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.
Intimacy with technology has been the territory of science fiction. What happens if we are able to live those stories ourselves?
An interview with University of British Columbia professor, Wendy Wong, about her book We, the Data: Human Rights in the Digital Age.
Apple isn’t being left behind in generative AI—it’s playing a different game. While every other tech company is spending billions on inference compute—Apple is being paid for it.
Higher ed grapples with AI: Student learning and job impact top concerns, but confidence and preparedness vary. Proactive dialogue on AI needed.
The Artificiality Weekend Briefing: About AI, Not Written by AI
