An accessible introduction to ideonomy
identifAI - Discover Origin. Reveal Insight
identifAI pioneers discerning human-AI creations, bolstering authenticity with advanced models. Determine if an image come from AI or from human!
Revenge of the Dilettantes
Book club and AI adventures, age of bespokeness, study groups, new rules of engagement
Revenge of the Dilettantes
Book club and AI adventures, age of bespokeness, study groups, new rules of engagement
Design Thinking by IDEO: Human-Centered Innovation
Learn how IDEO uses design thinking to help teams solve complex problems through human-centered innovation, creativity, collaboration, and impact.
StoryScope: Investigating idiosyncrasies in AI fiction
As AI-generated fiction becomes increasingly prevalent, questions of authorship and originality are becoming central to how written work is evaluated. While most existing work in this space...
Anatomy of a Nature AI article
Edgy first paragraph in bold text saying something gently provocative but essentially brainless.
Developing creative identity
I was a theoretical physicist from 1992 to 2007. It was a romantic activity, exploring the fundamental nature of the cosmos! I became a university professor, wrote papers and books, and got to explore some of the most beautiful ideas ever discovered. In parallel, I also developed a fascination with the social systems humanity uses to make knowledge. Systems like the university or peer review are immensely deep inventions: our discovery system is itself one of the great inventions of humanity! But I believed a radically better discovery system must be possible. I became obsessed with this idea, eventually giving up tenure to work on it1. My first big project was to write a book helping develop and spread the fundamental ideas underlying the modern open science movement.
Ali Alkhatib: Defining AI
The main issue I have with a lot of work that tries to define AI is that the criteria they use to draw boundaries often turn out to be functionally useless for my needs; these definitions lead us to weird places, letting scholars fixate on strange, unworkable frameworks. Those pedantic fixations don’t really benefit the organizers, activists, regular people who are getting crushed by the systems they’re trying to work against. So I’m going to try to unpack how I think about AI; how I trace the boundaries of the term in a way that’s as useful as possible for me and my needs; and how I would encourage you to scope or define ideas that are important to your work.
Entelechy | Intentional Community on Salt Spring Island, BC
Join Entelechy, a sustainable intentional community on Salt Spring Island, BC. Experience conscious living and personal growth, and join our Ecovillage Design Education (EDE) course running Summer 2026.
Guest post: If you’re going to critique science, be scientific about it
Loren K. Mell Editor’s note: This post responds to a Feb. 13 article in The Atlantic, “The Scientific Literature Can’t Save Us Now,” written by Retraction Watch cofounders Adam Marcus and Ivan Oran…
The Seamstress Who Solved the Ancient Mystery of the Argonaut, Pioneered the Aquarium, and Laid the Groundwork for the Study of Octopus Intelligence
“I armed myself with patience and courage, and only after several months managed to dissolve my doubts and see my research crowned with happy confirmation.”
Artificial intelligence and illusions of understanding in scientific research
Scientists are enthusiastically imagining ways in which artificial intelligence (AI) tools might improve research. Why are AI tools so attractive and what are the risks of implementing them across the research pipeline? Here we develop a taxonomy of scientists’ visions for AI, observing that their appeal comes from promises to improve productivity and objectivity by overcoming human shortcomings. But proposed AI solutions can also exploit our cognitive limitations, making us vulnerable to illusions of understanding in which we believe we understand more about the world than we actually do. Such illusions obscure the scientific community’s ability to see the formation of scientific monocultures, in which some types of methods, questions and viewpoints come to dominate alternative approaches, making science less innovative and more vulnerable to errors. The proliferation of AI tools in science risks introducing a phase of scientific enquiry in which we produce more but understand less. By analysing the appeal of these tools, we provide a framework for advancing discussions of responsible knowledge production in the age of AI.
DeepSeek
DeepSeek, unravel the mystery of AGI with curiosity. Answer the essential question with long-termism.
Michel Bauwens on Twitter / X
This is the deeper motivation that inspires Caitlin's work:< " It is possible for the human organism to liberate itself from its habituated creation of the ego through the process commonly referred to as spiritual enlightenment. It is also possible for humanity as a species to… https://t.co/smsjPAnNFr— Michel Bauwens (@mbauwens) June 18, 2026
