At Artificiality, we hold a set of core beliefs that guide our values, shape our practice, and anchor our vision.
Humans are meaning-makers whose particular evolutionary history has given us a unique relationship to consciousness, mortality, and values
A review of Annaka Harris' Lights On: How Understanding Consciousness Helps Us Understand the Universe
At Artificiality, we hold a set of core beliefs that guide our values, shape our practice, and anchor our vision.
Humans are meaning-makers whose particular evolutionary history has given us a unique relationship to consciousness, mortality, and values
A review of Annaka Harris' Lights On: How Understanding Consciousness Helps Us Understand the Universe
Writing and Conversations About AI (Not Written by AI)
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.
It’s easy to fall prey to the design illusion that because LLMs look sleek, they must be well-designed. But aesthetics alone do not equal design. As Steve Jobs once said, “Design is not just what it looks and feels like. Design is how it works.”
AI's impact on skill development: Balancing productivity gains with long-term expertise. Explore how AI changes apprenticeships, challenges traditional learning, and affects industries. Learn strategies to integrate AI while preserving crucial human skills and mentorship.
It’s curious that these two papers, tackling such similar ideas, came out at the same time. Is this coincidence, or does it tell us something about where the study of life and intelligence is heading?
Generative AI promises personalized learning at scale but risks creating dependency. Complementary cognitive artifacts enhance skills; competitive ones replace them. Effective AI tutors balance engagement and autonomy, expanding human cognition without diminishing critical abilities.
Explore Many-Shot In-Context Learning to enhance AI interactions. Learn five strategies from Google DeepMind's research to optimize your prompts for language models like ChatGPT. Improve your AI prompt engineering skills and maximize AI capabilities.
Explore a new framework for predicting emergent phenomena in complex systems. Learn how concepts like causal, informational, and computational closure offer new insights into emergence, from ant colonies to financial markets. Explore practical applications for your work and life.
Preparatory material for our workshop on using generative AI for decision-making, generated by NotebookLM.
Congratulations to the authors of of the Artificiality Book Awards 2024!
Explore the shift from the attention economy to the intimacy economy, where AI personalizes learning experiences based on deeper human connections and trust.
As meta-researchers, we consume ideas and research from a variety of sources. Books, in particular, are an important source. And Helen reads a lot of them. Each week she profiles one book in our newsletter—and this is the the full list.
A lecture by Michael Levin, distinguished professor of biology at Tufts University and associate at Harvard's Wyss Institute
A video recording of our keynote at the Imagining Summit 2024 on October 12, 2024 in Bend Oregon
Artificiality Co-founders, Helen and Dave Edwards, gave a presentaiton on AI & Higher Education for the Board of Regents of the Montana University System.
A conversation with Maggie Jackson, author of Uncertain
A conversation with Greg Epstein about his recent book, Tech Agnostic.
A conversation with innovator extraordinaire Chris Messina about reimagining AI.
A conversation with attention activist and history of science professor D. Graham Burnett about attention and much more...
Writing and Conversations About AI (Not Written by AI)
