Test Bio Please Ignore
Charlie Sanders
Karma: 81
Pygmalion’s Wafer
I was struck by the disparity in inflation results shown by https://www.visualcapitalist.com/cp/g20-inflation-tracker-august-2025/, with China being a clear outlier in global inflation performance. However, I struggled to take that data and visualize why deflation is generally regarded as economically destructive, or how. I think fiction is an underappreciated way to convey complicated topics, so here’s a story that tries to demonstrate the underlying mechanisms of deflationary spirals, also known as “Involution”.
LLM Disclaimer: LLM assistance was used in drafting this story.
Communism By Another Name
Newcomber
In Darkness They Assembled
Of Loving Grace
Thank you! I think there’s a lot of value to be explored in increasing peoples’ awareness of AI progress via fiction.
Sea Change
Hello World
The Polite Coup
Sparks of Consciousness
There’s a parallelism here between the mental constructs you’re referring to and the physical architecture of the human body. For instance, each lobe of our brain has been associated with various tasks, goals, and activities. When you take a breath, your Medulla Oblongata has taken in information about levels of carbon dioxide in the blood via pH monitoring, decided that your blood has too much carbon dioxide, and has sent a request to the respiratory center to breathe. But you’ve also got a cerebral cortex that also gets a say in the decisions made by the respiratory center, and those two brain areas negotiate via highly complex, fully unconscious interactions to decide what directive the respiratory center actually follows.
To summarize: you’re now breathing manually.
I do not believe that 3a is sufficiently logically supported. The criticism of AI risk that have seemed the strongest to me have been about how there is no engagement in the AI alignment community about the various barriers that undercut this argument. Against them, The conjecture about what protein folding and ribosomes might one have the possibility to do really weak counterargument, based as it is on no empirical or evidentiary reasoning.
Specifically, I believe further nuance is needed about the can vs will distinction in the assumption that the first AGI to make a hostile move will have sufficient capability to reasonably guarantee decisive strategic advantage. Sure, it’s of course possible that some combination of overhang risk and covert action allows a leading AGI to make some amount of progress above and beyond humanity’s in terms of technological advancement. But the scope and scale of that advantage is critical, and I believe it is strongly overstated. I can accept that an AGI could foom overnight—that does not mean that it will, simply by virtue of it being hypothetically possible.
All linked resources and supporting arguments have a common thread of taking it for granted that cognition alone can give an AGI a decisive technology lead. My model of cognition is instead of a logarithmically decreasing input into the rate of technological change. A little bit of extra cognition will definitely speed up scientific progress on exotic technological fronts, but an excess of cognition is not fungible for other necessary inputs to technological progress, such as the need for experimentation for hypothesis testing and problem solving on real world constraints related to unforeseen implementation difficulties related to unexplored technological frontiers.
Based on this, I think the fast takeoff hypothesis falls apart and a slow takeoff hypothesis is a much more reasonable place to reason from.
My intuition is that a simulation such as the one being proposed would take far longer to develop than the timeline outlined in this post. I’d posit that the timeline would be closer to 60 years than 6.
Also, a suggestion for tl;dr: The Truman Show for AI.
Agreed. A common failure mode in these discussions is to treat intelligence as equivalent to technological progress, instead of as an input to technological progress.
Yes, in five years we will likely have AIs that will be able to tell us exactly where it would be optimal to allocate our scientific research budget. Notably, that does not mean that all current systemic obstacles to efficient allocation of scarce resources will vanish. There will still be the same perverse incentive structure for funding allocated to scientific progress as there is today, general intelligence or no.
Likewise, researchers will likely be able to make the actual protocols and procedures necessary to generate scientific knowledge as optimized as is possible with the use of AI. But a centrifuge is a centrifuge is a centrifuge. No amount of intelligence will make a centrifuge that takes a minimum of an hour to run take less than an hour to run.
Intelligence is not an unbounded input to frontiers of technological progress that are reasonably bounded by the constraints of physical systems.
One of the unstated assumptions here is that an AGI has the power to kill us. I think it’s at least feasible that the first AGI that tries to eradicate humanity will lack the capacity to eradicate humanity—and any discussion about what an omnipotent AGI would or would not do should be debated in a universe where a non-omnipotent AGI has already tried and failed to eradicate humanity.
Bit Flip
In many highly regulated manufacturing organizations there are people working for the organization whose sole job is to evaluate each and every change order for compliance to stated rules and regulations—they tend to go by the title of Quality Engineer or something similar. Their presence as a continuous veto point for each and every change, from the smallest to the largest, aligns organizations to internal and external regulations continuously as organizations grow and change.
This organizational role needs to have an effective infrastructure supporting it in order to function, which to me is a strong argument for the development for a set of workable regulations and requirements related to AI safety. With such a set of rules, you’d have the infrastructure necessary to jump-start safety efforts by simply importing Quality Engineers from other resilient organizations and implementing the management of change that’s already mature and pervasive across many other industries.
As someone that interacts with Lesswrong primarily via an RSS feed of curated links, I want to express my appreciation for curation when it’s done early enough to be able to participate early in the comment section development lifestyle. Kudos for quick curation here.
This story was inspired by considering what different possibilities the use of AI models might unlock. One potential area is ludicrously deep technical expertise, of the kind that eclipses the potential of even the most in-depth research. I think of these stories as having “hyperdetails”, details so specific that they transcend the fourth wall with the reader.