The rants and raves of Simon Wardley on Evolution, Technology, Economics and Business
#760: Gambling the future into existence
Plus: Cosmo for conservatives, AI;DR and being "agentic"
Automate the C-Suite - The Ideas Letter
Weatherby argues that Benanav’s and Morozov’s essays on AI and the left miss a deeper reality: Today’s AI is not a neutral tool operating within capitalism but the materialization of…
The hidden cost of AI: In conversation with Professor Mark Graham
The hidden cost of AI: Countless humans toil in monotonous, low-paid jobs to power the algorithms behind our tech. Professor Mark Graham exposes this digital sweatshop, calling for accountability and worker rights.
Writing code is cheap now - Agentic Engineering Patterns - Simon Willison's Weblog
The biggest challenge in adopting agentic engineering practices is getting comfortable with the consequences of the fact that writing code is cheap now.
After the feed with Eli Pariser, Ben Smith, and Jasmine Sun
People & Technology
To understand AI’s effect on moral character, ethicist Kwame Anthony Appiah goes back to John Stuart Mill, and the idea that people are shaped by their choices.
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.
Don't Take the Black Pill - Andrew Kelley | SSW 2026
AI as Normal Technology
The normal technology frame is about the relationship between technology and society. It rejects technological determinism, especially the notion of AI itself as an agent in determining its future. It is guided by lessons from past technological revolutions, such as the slow and uncertain nature of technology adoption and diffusion. It also emphasizes continuity between the past and the future trajectory of AI in terms of societal impact and the role of institutions in shaping this trajectory.
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.
The fall of the theorem economy
How AI could destroy mathematics and barely touch it
AI Safety Is a Narrative Problem · Special Issue 5: Grappling With the Generative AI Revolution
This op-ed explores power and narrative dynamics around AI. Drawing on pop-culture references, the professional experiences of the author and examples from 2023’s “Great AI Safety Hype Roadshow,” this piece draws on the literary criticism technique of practical criticism to consider how speeches and announcements from both Silicon Valley executives and research scientists to interrogate the media-friendly nature of p(doom) discourse—which focuses on the existential risks of AI (PauseAI, 2023)—and its likely consequences. The complexities of AI and its numerous social impacts can be difficult for even the most expert analyst to unpack. In spite of this, the potential of “existential threats” has successfully cut through to become a mainstay of mainstream media coverage over the last year. This piece will make the case that this is an effective narrative conceit that has achieved a number of ends that traditional science communication tends to find difficult, if not impossible, to achieve. Firstly, it is easy to understand. Simplification of this nature—that removes jargon and complexity and focuses on a single outcome—is much easier to fit on a TV rolling news ticker or on the cover of a tabloid newspaper than more well-balanced, representative opinions. Secondly, it inherits prior assumptions from well-known dramatic forms. P(doom) plays to stories familiar from Greek tragedy through to Marvel movies, in which lone male heroes battle ineluctable forces. Thirdly, it is imbued with urgency and so becomes difficult to ignore.
notes on the industrialisation of decision making
worrying away at an old subject
Trevor Paglen and Holly Herndon on Making Art with AI and What the Discourse Is Missing
The artists talk process, slop, and why optimism and pessimism don’t quite cover it.
