AI is evolving from models to systems to agents—autonomous entities that act, adapt, and collaborate. As intelligence emerges from interactions, the future of AI depends on context, trust, and workflow integration. How we design social AI today will shape its role in amplifying human intelligence.
A lecture by Michael Levin, distinguished professor of biology at Tufts University and associate at Harvard's Wyss Institute
Preparatory material for our workshop on using generative AI for decision-making, generated by NotebookLM.
An interview with Richard Kerris, Vice President of Developer Relations and GM of Media & Entertainment at NVIDIA, about AI, creators, and developers.
Today, we’re making a change and, in a sailor's terms, yelling out: Jibe Ho! Our jibe is to change the pace of our publishing. Starting now, we will be releasing Artificiality on a weekly basis.
It appears that there is one effect many researchers are finding across multiple fields: generative AI has a significant impact on lower skilled and less experienced people. However, if we automate difficult tasks we cut ourselves off from the essential components for achieving mastery like flow.
An interview with about the lulls and leaps of human imagination with Tyler Marghetis, Assistant Professor of Cognitive & Information Sciences at the University of California, Merced.
Apple researchers recently published a paper describing a new architecture for vision models. The paper's unique approach to vision modeling hints at Apple's likely strategic imperative towards heavily integrating vision models in spatial computing environments.
Considering Big Tech's longer-term potential, peril, and possibility with AI.
Working with AI requires seeing beyond automation to amplification. If society chooses to complement strengths between humans and machines, more dynamic partnerships become possible.
Our World of Workflows research discovers that the benefits of AI support are not evenly distributed but rather significantly skewed toward businesses and entrepreneurs that are already succeeding.
A conversation with Professor James Evans from the University of Chicago about scientific progress.
Seven books to read to understand theories of consciousness and its implication for how it might be built in AI.
Artificiality Co-founders, Helen and Dave Edwards, were guest lecturers on Generative AI for the Oregon State University—Cascades Edge program.
Writing and Conversations About AI (Not Written by AI)
