







Reading by Tim Foley:
AI’s Imperial Agenda
“Empire of AI” author Karen Hao on how Silicon Valley’s young AI companies parallel colonial empires of old.


Imperial State Capitalism
A new geopolitics is shaping the development of AI and the energy transition.


The Intelligence Curse
This series examines the incoming crisis of human irrelevance and provides a map towards a future where people remain the masters of their destiny.

Human Life in a Post-AGI World - Google DeepMind Talk
Tyler Cowen at Google DeepMind on life after AGI: rebuilding every institution, the rise of "AI maniacs," and why the future will be drenched in meaning.

Large AI models are cultural and social technologies – Henry Farrell
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.

A Microsoft researcher sent some goats on a mission in Age of Empires II to make a point about LLMs | IBM
A Microsoft researcher built a working neural network out of Age of Empires II goats to show that human-like AI traits are a property of the chat window, not the technology beneath it.

AI Influence Level (AIL) v1.0
Humans care who created things. Especially art. They especially care when the origin is in question, and more again when the origin might not be human. AI is yi

Was the Iran War Caused by AI Psychosis? | House of Saud
AI sycophancy, RLHF bias, and Ender's Foundry simulations shaped Operation Epic Fury. 7 planning assumptions failed in 23 days as the Iran war defied every AI prediction.

The AI future where humans get paid to be creative
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.
If LLMs Have Human-Like Attributes, Then So Does Age of Empires II
Much research has been carried out on large language models (LLMs) and LLM-powered agentic workflows. However, many works within the field state emergence of, ascribe to, or assume, generalised anthropomorphic attributes to them (e.g., morality or understanding of natural language). Our goal is not to argue in favour or against the existence of these attributes, but to point out that these conclusions could be incorrect. For this we build and train a simple neural network on the videogame Age of Empires II, and note that any entity in a sufficiently-powerful substrate, such as LEGO or the Greater Boston Area, could also present such attributes. Hence, the purported anthropomorphic attributes of LLMs are empirically non-unique: although some properties (e.g., responses to prompts) could remain constant, others, such as the interpretation of their perceived behaviour, might change with the substrate. Thus, any empirically-grounded discussion requires explicit measurement criteria; otherwise the interpretation is left to the representation. We then show that assuming that these attributes exist or not in a system, independent of the substrate and in a generalised way, leads to either circular or uninformative conclusions, regardless of the experimenter's viewpoint on the subject. Finally we propose a 'null' assumption, where one assumes LLM non-uniqueness instead of assuming anthropomorphic attributes to set up an experiment, along with examples of it. We also discuss potential objections to our work, briefly survey the field, and prove that Age of Empires II is functionally- and Turing-complete.

Empire: World History
Human perspectives on AI · Global Voices
This GV Spotlight edition will explore how the use of, promotion of, and resistance to artificial intelligence is playing out for the Global Majority.

AI FOR EPISTEMICS & COORDINATION
Civilization and technology have radically improved the human condition. Nonetheless, the world sometimes goes in directions which essentially nobody would prefer — e.g., nuclear arms races, unexpected financial crashes, predatory marketing, or ubiquitous political misinformation.