







Science is a human activity. When we fail to distill and explain research, we accumulate a kind of debt...
The Debt Payment Puzzle: An Experimental Investigation
Why do borrowing individuals fail to repay their debt optimally? We design a diagnostic laboratory experiment where we rule out selection into debt and other co
Clearing College Debt | The Paper Pilot
The Paper Pilot's digital garden of thoughts on philosophy, politics, and sociology
AI and the Future of Science
A Taxonomy of Tech Debt
Hi there. I’m Bill “LtRandolph” Clark, and I’m the engineering manager for the Champions team on LoL . I’ve worked on several different teams on League over the past years, but one focus has been consistent: I’m obsessed with tech debt. I…

Information Disclosure, Cognitive Biases, and Payday Borrowing
ABSTRACT Can psychology‐guided information disclosure induce borrowers to lower their use of high‐cost debt? In a field experiment at payday stores, we find that information that makes people think less narrowly (over time) about finance costs results in less borrowing. In particular, reinforcing the adding‐up dollar fees incurred when rolling over loans reduces the take‐up of future payday loans by 11% in the subsequent 4 months. Although we remain agnostic as to the overall sufficiency of better disclosure policy to “remedy” payday borrowing, we cast the 11% reduction in borrowing in light of the relative low cost of this policy.

Comprehension Debt - the hidden cost of AI generated code.
Comprehension debt is the hidden cost to human intelligence and memory resulting from excessive reliance on AI and automation. For engineers, it applies most to agentic engineering.

Balancing Savings and Debt: Findings from an Online Experiment
Many consumers have savings and debt at the same time, and so are faced with a trade-off: how much debt to pay down versus how much savings to retain. This brie
How Generative and Agentic AI Shift Concern from Technical Debt to Cognitive Debt
The term technical debt is often used to refer to the accumulation of design or implementation choices that later make the software harder and more costly to understand, modify, or extend over time...

What Next for Academia?
As research agents autonomously synthesize prior work, who gets the credit -- and what keeps talented people in academia when its incentives run on credit?

On shifting consumers from high‐interest to low‐interest debt
Abstract In the United States, many consumers are increasingly accumulating debt, much of which is harmful and expensive. Prior research has devoted a great deal of attention to understanding why consumers generally get into debt and the strategies they can use to repay existing debts. While this work has furthered the agenda of helping consumers reduce or eliminate their overall debt balances, it has failed to emphasize the fact that for many consumers, debt may be unavoidable. This article aims to promote research that addresses not only overall debt reduction but also the need for consumers to shift from more to less costly types of debt. By shedding light on the psychological reasons why consumers may naturally gravitate toward more costly forms of debt when less costly ones may be available, we offer a novel perspective on why consumers get into and stay in debt longer than they should. This new angle has the potential to spur on further research into the ways consumers can use debt more effectively and less expensively in service of the overarching goal of debt reduction.

Overconfidence and the Credit Card Debt Puzzle - ProQuest
Explore millions of resources from scholarly journals, books, newspapers, videos and more, on the ProQuest Platform.
Technical debt as a lack of understanding
Some time back, I was working on a project where it felt like the timebomb of technical debt was exploding in our faces. We couldn’t refactor the whoositz because of the whatsitz and when we asked about the whatsitz no one knew about the whatsitz and how it exactly worked with the whoositz and there certainly weren’t tests for it. When we notified management they replied, “We’re in a build the plane while flying situation, how can we get this out now without doing a big rewrite?” It was pretty clear how the technical debt had amassed.
Deep research requires a slower pace than tech industry work
Anyone working in an industry for a while will become accustomed to that culture—its processes, its norms, its values, its tacit knowledge. Much of this is incredibly valuable, of course, but these ideas can also represent constraints. There are some important impedances here between tech industry culture and research culture. In particular, tech culture is calibrated to a much faster pace. This can lead to impatience or early abandonment when confronting problems which require a researcher’s pace.
Deep research requires a slower pace than tech industry work
Anyone working in an industry for a while will become accustomed to that culture—its processes, its norms, its values, its tacit knowledge. Much of this is incredibly valuable, of course, but these ideas can also represent constraints. There are some important impedances here between tech industry culture and research culture. In particular, tech culture is calibrated to a much faster pace. This can lead to impatience or early abandonment when confronting problems which require a researcher’s pace.
My boiling hot take on this is that, if tech companies are going to fund this kind of research (looking at Schmidt too), then the money needs to be given *no strings* to an independent arm's length research body, pooled with other funding, and treated as a donation not as direct funding.
Hetan Shah
Anthropic AI research fund offers $5m - $30m for social science research on themes of AI impact on workers; transition initiatives; income support; building worker stakes; and wider evidence on public investments. Total fund of $200m available anthropic.com/news/economic-futures-researc…