Understand the force behind exponential changes.
Knowing When to Stop: The Art of Making a Loop Converge | Andreessen Horowitz
The systems that matter will not be the ones that can keep going. They all can.
Why we're bullish on loops
WTF are loops, why is everyone arguing about them, and why do they actually matter?
The physics behind spring animations - The Blog of Maxime Heckel
A deep dive into the inner workings of spring animations in Framer Motion.
Exponential Growth Bias and Household Finance
ABSTRACT Exponential growth bias is the pervasive tendency to linearize exponential functions when assessing them intuitively. We show that exponential growth bias can explain two stylized facts in household finance: the tendency to underestimate an interest rate given other loan terms, and the tendency to underestimate a future value given other investment terms. Bias matters empirically: More‐biased households borrow more, save less, favor shorter maturities, and use and benefit more from financial advice, conditional on a rich set of household characteristics. There is little evidence that our measure of exponential growth bias merely proxies for broader financial sophistication.
Control: Why Big Giving Falls Short
The Human-in-the-Loop is Tired
On reward functions, dopamine, and what it actually feels like when the code starts writing itself
Exponential Economist Meets Finite Physicist | Do the Math
[An updated treatment of some of this material appears in Chapter 2 of the Energy and Human Ambitions on a Finite Planet (free) textbook, also mirrors a 2022 article in Nature Physics..]
Control Point Analysis
This paper describes an informal method called control point analysis that can be used to catalog and understand the points of power and control created by spec
What is “loop engineering?”
There’s talk about loop engineering, but what is it exactly? I looked into it, and found triggers, cron jobs, AI slop & more. Is it a “here today, gone tomorrow” trend?
The huge potential implications of long-context inference
Continual learning, scaling RL, and research feedback loops
Misperception of Exponential Growth: Are People Aware of Their Errors?
Previous research shows that individuals make systematic errors when judging exponential growth, which has harmful effects for their financial well-being. This study analyzes how far individuals are aware of their errors and how these errors are shaped by arithmetic and conceptual problems. Whereas arithmetic problems could be overcome using computational assistance like a pocket calculator, this is not the case for conceptual problems, a term we use to subsume other error drivers like a general misunderstanding of exponential growth or overwhelming task complexity. In an incentivized experiment, we find that participants strongly overestimate the accuracy of their intuitive judgment. At the same time, their willingness to pay for arithmetic assistance is too high on average, often much above the actual benefits a calculator provides. Using a multitier system of task complexity we can show that the willingness to pay for arithmetic assistance is hardly related to its benefits, indicating that participants do not really understand how the interplay of arithmetic and conceptual problems shape their errors in exponential growth tasks. Our findings are relevant for policymaking and financial advisory practice and can help to design effective approaches to mitigate the detrimental effects of misperceived exponential growth.
Its noticing others gaining the same insight about adverserial loops improving output reddit.com/r/ClaudeAI/comments/1q5a90l/s…
From the ClaudeAI community on Reddit
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