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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
blog
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
computer-science
6.190 C and Assembly
6.191 MIT
program synthesis notes
AI
6.S898 Deep Learning
AGISF
AI Notes
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
nlp-course
NLP attention models
NLP Probabilistic Models
NLP Sequence Models
Vector Spaces in NLP1
RL
A (Long) Peek into Reinforcement Learning
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Inference Time Intervention: Eliciting Truthful Answers from a Language Model
Messy Research Journal
Roadmap and links
Survey paper interp
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6.1220 Notes
Competitive Programming Method
bin-trees
Dynamic maximum
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C++-Lang
Effective Rust
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cybersec
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FCSC 2021 Overview
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MRU Micro
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AI + KM index
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18.022 intuitions
18.701
18.702
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Animaths - Prep
Binomial coefficients
chaos
Chromatic Numbers
Concours General Solutions
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Mathematical Summer in Paris Notes
Matrix Calculus 18.S096
Nombres catalans et bijections
Résolution d'équations polynomiales
Similar to binomials
Theory of Computation 18.404
Transport optimal
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Favorite Musicians / Groups
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8.022 Blockings
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The Life of Poetry
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AOTD MIT
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Rewrite Personal Helicon Essay
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Inference Time Intervention: Eliciting Truthful Answers from a Language Model
Messy Research Journal
Roadmap and links
Survey paper interp
