While analyzing a global history databank spanning 10,000 years, Shin, et al found a disconcerting pattern. Civilizations scale until they are overwhelmed by the information environment they create. This is The Information Scaling Threshold.
Calculating Empires: A Genealogy of Technology and Power since 1500
Explore how technical and social structures co-evolved over five centuries in this large-scale research visualization.
From information free-riding to information sharing: how have humans solved the cooperative dilemma at the heart of cumulative cultural evolution?
Abstract. Cumulative cultural evolution, where populations accumulate ever-improving knowledge, technologies and social customs, is arguably a unique featu
We May Be Entering A Second Axial Age
The transition from small hunter-gatherer societies into complex civilizations gave rise to the first Axial Age. Today, the planetary polycrisis of climate chaos, mass migration, increasing warfare and transformative AI represents a rupture of comparable magnitude.
A fact-based worldview for all | Gapminder
We live in a globalized world, not only in terms of trade and migration. More people than ever care about global development. But most people have severe misconceptions about contemporary global development. We know, because we have tested people’s knowledge. One of the main reasons for this is that students don’t learn to understand the world based on statistics and facts. Instead, we have a dramatic worldview formed by outdated school books and sensationalist news-stories. People intuitively believe that most things are getting worse. The dramatic worldview leads to irrational decisions by individuals, nonprofits, governments and business. For the first time in human history reliable statistics exist. There’s data for almost every aspect of global development. The data shows a very different picture: a world where most things improve; a world that is not divided; and a world where the fast population growth will soon be over. The world has never been less bad. But that doesn’t mean it’s perfect.
Redressing the Balance: A Yin-Yang Perspective on Information Technology
Information is an essential aspect of how we interact with the world around us. We acquire information and then integrate it to build knowledge, understanding, and trust, which in turn serve in preparing actions. Information technology (IT) is supposed to support all these phases of information processing. But does it? An assessment of IT through the yin-yang lens from Chinese philosophy shows that over the last decades, support for the yin processes of building knowledge, understanding, and trust has been neglected, the focus of most research and development having been on the yang processes of acting. IT shares this imbalance with other aspects of Western and globalized culture. I discuss possible directions for re-establishing a yin-yang balance in IT, as a small contribution to redressing the balance in the world at large.
Large AI models are cultural and social technologies
Implications draw on the history of transformative information systems from the past , Debates about artificial intelligence (AI) tend to revolve around whether large models are intelligent, autonomous agents. Some AI researchers and commentators speculate that we are on the cusp of creating agents with artificial general intelligence (AGI), a prospect anticipated with both elation and anxiety. There have also been extensive conversations about cultural and social consequences of large models, orbiting around two foci: immediate effects of these systems as they are currently used, and hypothetical futures when these systems turn into AGI agents—perhaps even superintelligent AGI agents. But this discourse about large models as intelligent agents is fundamentally misconceived. Combining ideas from social and behavioral sciences with computer science can help us to understand AI systems more accurately. Large models should not be viewed primarily as intelligent agents but as a new kind of cultural and social technology, allowing humans to take advantage of information other humans have accumulated.
HOME - Daniel Schmachtenberger
EXPLORATIONS ON THE FUTURE OF CIVILIZATION Some of the central questions being explored here: With the first fully globalized civilization, how do we avoid the collapse fate that has befallen all previous civilizations? What are effective types of immune systems for identifying and correcting corruption in governance systems? How do we comprehensively disincentivize misinformation and harm to … HOME Read More »
Interdependent Thoughts – by Ton Zijlstra
Still, many questions have global aspects. Our information networks, our trade routes, our dependencies are truly global. Because of it many of our issues, including climate emergencies, are global in both their roots and consequences. We all suffer from small earth syndrome these days, as I phrased it in 2010 at the SHiFT Conference, where everything anyone of us does reverberates around the world because we are continuously bumping into real global limits, Club of Rome style.
Scaling Trust and Other Fictions
The multiple, capitalist information fiduciaries of the Balkin proposal and the regulatory regime that Khan and Pozen appear to imagine seem to have little in common. But they are responses to the same problem: that of governing data-driven algorithmic processes that operate in real time, immanently, automatically, and at scale.
Does modernisation erase cultural difference – or amplify it? | Psyche Ideas
We understandably fear the flattening effect of modernity. But global data from China to Peru tells a hopeful story
Informatics of the Oppressed
An inquiry into the rich history of radical experiments to reorganize information.
Living in Data: A Citizen's Guide to a Better Information Future (Paperback)
Jer Thorp’s analysis of the word “data” in 10,325 New York Times stories written between 1984 and 2018 shows a distinct trend: among the words most closely associated with “data,” we find not only its classic companions “information” and “digital,” but also a variety of new neighbors—from “scandal” and “misinformation” to “ethics,” “friends,” and “play.”To live in data in the twenty-first century
The Scaling Era: An Oral History of AI, 2019–2025
An inside view of the AI revolution, from the people and companies making it happen.
