Divya Dhar
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on the atlas · 36
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- Zero-sum Thinking and the Labor Market - by kyla scanlon1 savers
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- It's rude to show AI output to people | Hacker News1 savers
- Warning: 'Cognitive Debt' is a Conservative Description of the Brain's Irreversible Self-Optimization | Chain://Encyclopedia1 savers
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- why are we lying to young people about work? - by Maalvika24 savers
- P-Hacking in Startups | Hacker News1 savers
- LLMs bring new nature of abstraction1 savers
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- Theory of Change (Aaron Swartz's Raw Thought)84 savers
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highlights · 9
Programmers working on web apps, data visualization, and scripts in Python, TypeScript, and Go were much more likely to see significant value in LLMs, while others doing systems programming in C, working on carbon capture, or doing novel ML research were less likely to find them helpful.
Developing our position on AI - Blog - Recurse CenterThe more people believe that wealth, status, and well-being are zero-sum, the more they back policies that make the world zero-sum.
Zero-sum Thinking and the Labor Market - by kyla scanlonIt is an organ that evolved over millions of years in an energy-scarce environment, and its primary principle is to minimize energy consumption
Warning: 'Cognitive Debt' is a Conservative Description of the Brain's Irreversible Self-Optimization | Chain://EncyclopediaAlthough the two population paths differ by billions of people in 2200, we find that the implied temperatures would differ by less than one tenth of a degree C—far too small to impact climate goals.
Is Less Really More? Comparing the Climate and Productivity Impacts of a Shrinking Population | NBERhard work isn't the tax you pay for living, it's the tuition for a life worth having.
why are we lying to young people about work? - by MaalvikaIn nature, adversity isn't the enemy of growth. It's the condition for it.
why are we lying to young people about work? - by Maalvikap value or < 0.05 doesn't mean "there is less than a 5% chance the treatment is not effective". It means that "if the treatment was only as effective, (or worse) than the original, we'd have < 5% chance of seeing results this good". Note that in the second case we're making a weaker statement - it doesn't directly say anything about the particular experiment we ran and whether it was right or wrong with any probability, only about how extreme the final result was.
P-Hacking in Startups | Hacker NewsAs my colleague Birgitta put it, we're not just moving up the abstraction levels, we're moving sideways into non-determinism at the same time.
LLMs bring new nature of abstractionSo instead of asking “what am I great at?” – just start to pay attention to “what does everyone else mysteriously suck at?”
finding your thing