In This Issue: * Bubbles. Are We? Aren't We? Read more below for my current take... * On Unpredictability and
We act in the parts of reality AI can’t predict because they don’t yet exist.
Three Things Thing One: Summit 2026 Tickets for the Artificiality Summit 2026 are now available! Same place (Bend, Oregon) and
New research probes the inner workings of these models, revealing the emergence of structured knowledge about fundamental concepts like space and time.
OpenAI Fires CEO Sam Altman, AI Vision Controlling Your Phone, and Are we as close to AGI as Sam Altman says? 🤔
OpenAI made a splash on ChatGPT's first birthday with something for everyone to be excited and wary.
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.
