







Building Political Superintelligence
Amidst fears of dystopia, a blueprint for how we use AI to reinvent the way we govern ourselves

Jacob Coxon Warns of Human Extinction and Triggers a Preference Cascade
CEOs of major AI labs, and employees of major AI labs, including OpenAI and Anthropic, often say they plan to build superintelligence soon, as in within a few years create AIs that are superior to humans at essentially all cognitive tasks.

Superintelligence is a Fairy Tale. But Chasing It Can Still Cause Harm. - Cal Newport
Yesterday, multiple Anthropic employees casually announced online that they thought the types of AI they’re building could kill billions of people. Not in some distant ... Read more
Evan Hubinger on Twitter / X
Jacob is correct here—we really do earnestly believe AI could kill all humans! I personally think it is >10% within the next decade. I believe Anthropic is trying its best, but we do not yet have a plan to solve alignment for superintelligence and are not clearly on track to. https://t.co/QAIHiFP3QZ— Evan Hubinger (@EvanHub) September 9, 2026
Import AI 456: RSI and economic growth; radical optionality for AI regulation; and a neural computer
What laws does superintelligence demand?

We're Not Ready for Superintelligence
As the Federal Government Rushes Toward AI, Here Are Three Cautionary Tales — ProPublica
We’ve been reporting on cybersecurity for years. As President Donald Trump and his Cabinet say artificial intelligence will transform the nation, the messaging isn’t new. It follows a familiar pattern.

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.
Your Favorite Science YouTubers Are Wrong About AI, (e.g. SciShow, Kurzgesagt, and Kyle Hill )
Superintelligence: Paths, Dangers, Strategies
Superintelligence: Paths, Dangers, Strategies is a 2014 book by the philosopher Nick Bostrom. It explores how superintelligence could be created and what its features and motivations might be. It argues that superintelligence, if created, would be difficult to control, and that it could take over the world in order to accomplish its goals. The book also presents strategies to help make superintelligences whose goals benefit humanity. It was particularly influential for raising concerns about existential risk from artificial intelligence.

What the Studies Say About How AI Affects Your Brain: A (Very Big) Compilation
The entire literature clearly points to a single surprising finding

US Law Enforcement Warns of ‘Anti-Tech Extremism’ as AI Hatred Grows
As Americans stew over the looming risk of job-stealing AI and data centers in their back yards, the feds are raising the alarm about a new category of threat, documents obtained by WIRED show.

How should social science think about AI?
Big structures and large processes are back, baby

Will AI Destroy the Economy? (According to Economists: No.) | AI Reality Check | Cal Newport
70 years of AI hype
Quoting from Olivia Guest et al. (2025) "Against the Uncritical Adoption of AI Technologies in Academia."

Is the scientific paper due to be replaced?
AI is pushing scientific publishing to the brink. For neuroscience, the crisis may be an opportunity to finally connect findings across subfields.

As an AI-adjacent network neuroscience person who has also studied bits of media structure and political economy, I strongly agree with @karlbode.com: The biggest threat, by far, isn’t “superintelligence will soon kill us all!” but instead “information control by oligarchs will crush our society”
Karl Bode
one recurring theme in the coverage of this AI Anthropic doomsday newscycle is nobody actually has any REAL ideas of what to do just a lot of ambiguous hand-waving in a country that's too corrupt to have working regulators, by a press that doesn't realize that's a central pillar of the conversation
Sep 10, 2026 at 9:21 PM