InQuestionalitybyLen Bassham·Jul 5Why Do We Need Labels?Pigeonholes are obsoleteA response icon1A response icon1
Jiyao Weng·Nov 17, 2025It Took Me One Day to Create 1,000 Segmentation Training Samples Through AutomationHow We Automated Segmentation Masks for Single Object Detection
Thinking Loop·Oct 7, 20258 Label-Quality Checks That Save Your ModelsPractical tests to catch leaks, bias, noise, and drift before you waste GPU hours.
Len Bassham·Jun 14, 2025How Stupid Do They Think We Are?Pretty Stupid, I GuessA response icon2A response icon2
Sameer Rijal·Apr 30, 2025Labels Stick — But Should They?How We Box Ourselves (and Others) In Without Realizing It
If Philosophers Spoke of the Modern World·Jan 16, 2025Is “Young People These Days” Fueling Discrimination? Sartre & Allport RespondYoung people these days’ — are we unfairly labeling them? Sartre & Allport reveal how casual words can spark big biases.
If Philosophers Spoke of the Modern World·Jan 5, 2025What’s So ‘Normal’ About Marriage? Lessons from Michel Foucault & Howard S. BeckerWondering if marriage is the only way? See how Michel Foucault & Howard S. Becker unpack ‘normal’ family ideals.
imbaresearchlabs·Dec 10, 2024When you asking an AI // “you asking average data labeler” @karpathyAny LLMs/NNs are just data approximators/archivators // “statistical token tumblers that are LLMs” @karpathy
