an drea
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on the atlas — 18
- bell labs13 savers
- fab.cba.mit.edu/classes/862.19/index.html?curius=301 savers
- curius graph26 savers
- Details That Make Interfaces Feel Better43 savers
- Laws of UX4 savers
- Stanford Dorm Lectures11 savers
- The Making of Indian Statistics | Alter Magazine3 savers
- Sara Fish • LLM Evals Research Advice1 savers
- Do I belong in tech anymore? · Ky Decker14 savers
- Thoughts on AI in academia - by Sasha Gusev4 savers
- How to think in writing - by Henrik Karlsson29 savers
- On having more interesting ideas - by Henrik Karlsson8 savers
- The Skill of Noticing Emotions - LessWrong6 savers
- Risk aversion - EA Forum2 savers
- Digital Red Queen: Adversarial Program Evolution in Core War with LLMs1 savers
- What Is It Like to Be a Bat?4 savers
- Are Autistic Women 'Women'?3 savers
- You’re probably using the wrong dictionary « the jsomers.net blog13 savers
highlights — 6
AI cognitive monoculture can be a problem when you learn too much from AI, rather than from humans. The main mechanism through which this happens is unknown unknowns, which are more of a problem with AI due to sycophancy. (That is, the AI "code-switches" according to its model of you, and explains things from a perspective compatible with its existing model of your worldview, leaving out possibly important things you would have never considered.)
Sara Fish • LLM Evals Research AdviceNo matter how rapidly technology changes, I am coalescing around some core beliefs: Things that are worth doing are worth doing well. Things that are done well require time and effort. You make meaning through the doing. Ideas are common; effort is not. There are no shortcuts.
Do I belong in tech anymore? · Ky DeckerCompanies doing resume screens with LLMs are inadvertently prioritizing applicants that use LLMs versus those who do not and, in particular, the applicants that just happen to use the same LLM
Thoughts on AI in academia - by Sasha GusevI also asked Codex and Claude to read through the two model outputs and provide an evaluation of which model did a better job (in a new session with no memory). Across the nine runs, Codex reported that Codex had superior output 7/9 times and Claude reported that Claude had superior output 8/9 times. In other words, each model prefers output that it itself has generated.
Thoughts on AI in academia - by Sasha GusevThe overwhelming thrust that you get speaking with autistic woman is that the sole reason for their womanhood is the sheer inertia of biology and literally nothing else. Femininity is a labyrinth and the Minotaur chasing your through it is other women, the female body is a punishment, the conditions of womanhood are imposed upon you not accepted, the feminine rituals of socialization are an unending stream of humiliation and degradation, becoming a woman through puberty is dysphoric body horror, and this doesn’t even come close to holding a candle to the ensuing horrors of pregnancy and mother…
Are Autistic Women 'Women'?If Simone de Beauvoir was correct in her book The Second Sex, that “One is not born, but rather becomes, a woman” and we consider that most of the factors that lead to one “becoming” a woman are stunted, strained, and hindered for most autistic women this leads to the obvious question “What even are these freaks? Do autistic women ever ‘become’ a women or do they, IDK become like a reviled third gender or something?”
Are Autistic Women 'Women'?