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Results of an informal survey on AI grantmaking — EA Forum
[1709.07432] Dynamic Evaluation of Neural Sequence Models
[2209.11895] In-context Learning and Induction Heads
[2310.06770] SWE-bench: Can Language Models Resolve Real-World GitHub Issues?
karpathy/nanoGPT: The simplest, fastest repository for training/finetuning medium-sized GPTs.
How to ML Paper - A brief Guide - Google Docs
Deep Learning, NLP, and Representations - colah's blog
Haskell : foldl
Haskell : mapAccumR
Haskell : mapAccumL
Haskell : zipWith
Conv Nets: A Modular Perspective - colah's blog
Aaron Courville
undefined behavior on X: "enough with the humanoid robot design please. more like this please." / X
ARC Prize - What is ARC-AGI?
Transformer-XL Explained | Papers With Code
Is GPT-4 a mixture of experts? | Manifold
Intology
[2502.18864] Towards an AI co-scientist
Demystifying the XOR problem - DEV Community
BashNota - Offline-First Second Brain Cracked on Code
Theorical Foundation | BashNota
samuelshadrach.com/raw/text_english_html/about_me_summary.html
Beware the taxicab fallacy - by Kevin Whitaker
Virtue-Ethical Rationality and Training Dynamics | Manifund
Research Brief: Beneficial Deployment of Transformative Technologies — AI • Objectives • Institute
The Importance of Blasting Good Ideas Into The Ether — EA Forum
Dwarkesh Patel dinner party – Yuxi on the Wired
Yuxi on the Wired
[2308.10248] Steering Language Models With Activation Engineering
Fortune 500 - Wikipedia
Pope Leo, Mathematician: Math-Minded Catholics Claim Pope as One of Their Own| National Catholic Register
An Introduction to RAG Models
The hollowing-out of my life - by Andrew Wu
Talk to the City — AI • Objectives • Institute
Whose track record of AI predictions would you like to see evaluated? — EA Forum
OP3 Soccer
OpenAI Five | OpenAI
On working 80% — LessWrong
Second order taste — LessWrong
Somerville, Massachusetts - Wikipedia
Vector space model - Wikipedia
SMART Information Retrieval System - Wikipedia
Resume
Startups Don't Build Technology - by Kasey Klimes
[1704.00051] Reading Wikipedia to Answer Open-Domain Questions
Hash function - Wikipedia
Metric Learning: A Survey
Sayre's law - Wikipedia
Natural Questions Dataset | Papers With Code