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Jet New | 100 Lessons from 1 Year of AI Research
100 years of whatever this will be - apenwarr
How can we develop transformative tools for thought?
How to Remember What You Read
How to understand groups of people
Kierkegaard and Entrepreneurship
Lockhart's Magician's Lament
Reality has a surprising amount of detail
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Shtetl-Optimized » Blog Archive » An alarming trend in K-12 math education: a guest post and an open letter
The Business of Extracting Knowledge from Academic Publications
The Expected Value of Friendships - by Judah - Be Wrong
The Gift We Give To Tomorrow
The Inner Ring
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Advice and resources for the agentic high-schooler
How people cope with civilizational doom
Notes on Agency
Yearly Review 2020
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Beyond Good and Evil
L'insoutenable légèreté de l'ètre
La Peau de Chagrin - Balzac
La promesse de l'aube
Le Loup des Steppes
Philosophical Astonishment - Jeanne Hersch
Problèmes clés de mathématiques supérieures
Selfish Gene
Structure of Scientific Revolutions
The Anomaly - Hervé Le Tellier
The Art Of Doing Science and Engineering
The Precipice: Existential Risk and the future of humanity
The Theoretical Minimum
The Unconsoled Kazuo Ishiguro
Why Nations Fail
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6.190 C and Assembly
6.191 MIT
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6.S898 Deep Learning
AGISF
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Autocast
Building a simplified pytorch in rust
DreamCoder
GAN paper
GPT paper
Grokking and representation learning
Imitating interactive intelligence
Implicit Representations of Meaning in Neural Language Models
In-context Learning and Induction Heads
Polysemanticity and capacity in neural networks
Science of deep learning reading group
Seri Mats 2022
The Computational Limits of Deep Learning
Thoughts on Fast.AI: Deep Learning for Coders
To-learn
Transformers learn in-context by gradient descent
using natural language and program abstractions to instill human inductive biases
Visualizing representations - colah
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Vector Spaces in NLP1
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A (Long) Peek into Reinforcement Learning
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Inference Time Intervention: Eliciting Truthful Answers from a Language Model
Messy Research Journal
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Matrix Calculus 18.S096
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Similar to binomials
Theory of Computation 18.404
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How can we develop transformative tools for thought?
tft
10-22-21
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