Related posts

Writes Don't Worry About the Vase, a near-daily account of what is happening in AI and what they think it means. Former Magic: the Gathering pro and trader; unusually willing to put a number on a belief and to grade their own past calls.

• Our readingkorrents.com

  Biased reasoning and recklessness in AI systems are intermediate symptoms, neither the cause nor the final result.

  Their words

  Biased reasoning and recklessness are intermediate symptoms, neither the cause nor the final result.

  thezvi.substack.com

Professor of atmospheric sciences at Texas A&M; writes The Climate Brink with Zeke Hausfather.

• Our readingkorrents.com

  Climate skeptics' opposition to data adjustments is driven by which results those adjustments produce, not by scientific principle.

  Their words

  the opposition to adjustments is entirely instrumental: climate skeptics like the results that the raw, biased data give them for the US, and they don't like the results that bias-corrected data give them.

  Raw Data, Wrong Answerstheclimatebrink.com

Historian of the Renaissance at the University of Chicago and a science-fiction novelist; wrote Terra Ignota and Inventing the Renaissance.

• Our readingkorrents.com

  For Machiavelli a man who can be killed on somebody's word is a slave, and a man protected by a system — however unfair that system is — is free.

  Their words

  If there is a system, then you have liberty. That system may be unfair. It may be biased. It may be, in Machiavelli's case, the very system that tortured and exiled him.

  youtube.com

Non-fiction writer, podcaster and occasional TV host. Author of thirteen books including The Ghost Map, Where Good Ideas Come From and Extra Life, host of the PBS series How We Got To Now, and author of the Adjacent Possible newsletter on innovation.

• Our readingkorrents.com

  Archaeological interpretations of human history are biased toward artifacts made of durable materials that survived, not what mattered most to the people who made them.

  Their words

  archeologists naturally build their interpretations of human history out of artifacts that survive the passage of deep time.

  Back To The Gardenadjacentpossible.substack.com

Software engineer in Chicago; writes the cassidoo.co blog and a weekly developer newsletter.

• Likedtheir ownrcmnd.app

  Overcommitted

  Their words

  Overcommitted: Put simply, thoughtful tech conversations from thoughtful tech people. I'm biased towards this one because it's run by some coworkers, but they are awesome coworkers and it's fun and interesting!

  cassidoo.co

• Likedtheir ownrcmnd.app

  GitHub Podcast

  Their words

  GitHub Podcast: Another biased one because it's my place of work, BUT it's still good!

  cassidoo.co

Member of technical staff at Anthropic. He has led ML/AI teams at Amazon, Alibaba and Lazada, and writes about LLMs, recommender systems and engineering at eugeneyan.com.

• Our readingkorrents.com

  Language models lack catalog-specific knowledge, so their recommendations tend to be generic and biased toward popular items.

  Their words

  language models have world knowledge and can eloquently talk about products, but are unaware of our catalog. Also, their recommendations are generic and suffer from popularity bias.

  eugeneyan.com

Demographer; writes on fertility, marriage and population, and directs the Pro-Family Initiative at the Institute for Family Studies.

• Our readingkorrents.com

  The total fertility rate is a culturally biased measure, because societies substitute between abortion, infanticide and contraception to reach the same family size.

  Their words

  Thus, TFR as an indicator is cross-culturally biased by social preferences between infanticide and abortion, child neglect and abortion, etc.

  There Is No Long Decline in Fertilitylymanstone.substack.com

Software engineer who writes the blog Made of Bugs about performance, debugging and understanding computer systems. Previously worked at Anthropic on interpretability, at Stripe on Sorbet, and at Ksplice.

• Our readingkorrents.com

  Most conditional branches in software are strongly biased toward one outcome rather than close to fifty-fifty.

  Their words

  most branches are heavily "biased" one way or another - e.g. a "branch taken" rate of 10% or 90% is more common than 50%

  The ITTAGE indirect branch predictorblog.nelhage.com

Machine-learning researcher; has written the Lil'Log survey posts on how a model technique works since 2017, and worked at OpenAI from 2018 to 2024, latterly leading its safety systems team.

• Our readingkorrents.com

  Chain-of-thought explanations from language models can be biased because training does not explicitly reward faithful reasoning.

  Their words

  model CoTs could be biased due to lack of explicit training objectives aimed at encouraging faithful reasoning

  Why We Thinklilianweng.github.io