Among my peers who study the cultures and economies surrounding technology, I often find myself more tech-positive than most. On the whole I like computers, like the internet, and like in general the emergent human creativity that these things have enabled and revealed. A source of my appreciation is that I expend a lot of effort on the practice of “slow computing,” which is to say, choosing tools and technical communities that I can feel in right relationship with. I tend to approach new socio-technologies (like gig economies, blockchains, and social media) not from a perspective of why is this so bad? so much as asking how could we do this right?
Something Big Is Happening
A personal note for non-tech friends and family on what AI is starting to change.
Why Is Everyone In Tech So Sad?
A lot of people seem to be realizing that knowledge work is mostly pointless. AI might give us the pleasure of finding out what happens if an entire class of workers loses faith in their careers.
AI-induced cultural stagnation is here - Fast Company
AI-mediated culture is already being filtered in ways that favor the familiar, the describable, and the conventional.
Millions of Volunteers Are Keeping the Internet Human. For Now.
We’re never going back to the human internet we had. But we can hope for a better internet than the AI-dominated one that is emerging, writes Sarah Gilbert.
Mark Zuckerberg's AI manifesto is exactly why people don't like AI | TechCrunch
On Monday, Mark Zuckerberg published a 6,500-word manifesto about personal AI, largely about the possibilities for the "personal superintelligence" systems Meta AI is building.
The Arguments Against Open Source AI are Very Bad | Tom Bedor's Blog
The release of Kimi K3 has opened a fresh round of angst and confused discourse. There's a loud cohort of journalists, business leaders, and politicians arguing that open source AI is a dangerous threat. OpenAI's Dean Ball:
Field Theory: AI as Social Science Question, Object & Tool
Uses of advanced artificial intelligence are changing how societies organize labor, govern, produce knowledge, and make meaning. In light of these developments, this essay argues that AI models, tools, and systems pose three interrelated imperatives for social science: they demand renewed attention to social theories of how technology, human experience, and social order are entangled; they require study as objects of inquiry in their own right; and they offer capabilities that may transform—or upend—the practice of social investigation itself. From Weber’s analysis of rationalization to Du Bois’s study of technology and inequality to contemporary scholarship on algorithmic governance, the essay examines what social science distinctively offers: the capacity to historicize the apparently unprecedented, to trace connections across scales, and to center those most affected by technological change. It identifies how algorithmic systems are remaking the distribution of opportunity and risk as a central task of social inquiry and asks what futures social science might help bring into being.
The Internet Transition
The Internet is allowing us to build a richer, more complex society but the way in which we Internet today is failing to support the governance systems that a more complex world requires. I take a look at why these issues are related, try to develop an intuition for a way forward, and point at the emerging field that is coming together to build that future.
A Real Political Economy of Technology - The Ideas Letter
Two technological futures are competing for political and material priority: generative AI and the green transition. Benanav argues that while AI is marketed as a world-reordering breakthrough, its productivity gains…
Social media algorithms can be redesigned to bridge divides — here’s how
"It falls to both the tech companies that built these systems and an engaged public to create technologies designed for social cohesion."
What happens when AI replaces the parts of work people love?
We’re using AI to move faster. I’m not yet convinced we’re using it to work better.
A programmer's loss of identity - ratfactor
This is the follow-up to last year’s I’m an American software developer and the "broligarchs" don’t speak for me. In that essay, I tried to express why I was so agonized by the leaders in my industry doing a speedrun towards dystopia and how it all felt so divorced from what technology could, and should be. Everything I wrote there is still true, but amplified.
Enshittification, Despotification, and the Open Internet
It’s not about whether technology is inherently good or bad, liberating or oppressive. Architecture shapes incentives; incentives shape outcomes.
Unreasonable Effectiveness
Seriously: Machines Do Not Need to Think to Be Thought About 💡As I am immersed in PhD research I am at risk of becoming increasingly dense and nerdy. So I am adding a "nerd rating" to posts from now on, evaluating my estimation of how niche a post probably is.
After the feed with Eli Pariser, Ben Smith, and Jasmine Sun