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State of Data (April 2026) - Sean Cai
To Build an RL Envs and Human Data Startup - Sean Cai
The Bitter Lesson - RL Environments Version
every company has the same hiring criteria - by Ethan Ding
Benchmarking Visual Temporal Progress for Data Curation
The Case Against Human Hands
Microprediction - The Book
Exclusive Rewards For Old Mutual Members
AI research papers · Sophon
React Best Practices
Semilinear_map
“The pipeline of future experts is thinning from both ends.” – Unsung
Finding high-severity security issues with publicly available models
How we solved one of the hardest problems in computer science: rendering HTML emails
The Orchestration Tax
On Rendering Diffs :: Pierre Computer Company
While I'm here | Aiden Bai
High-Frequency Software
Evaluating DeepSeek v4 Pro for Frontier Risks · Neo Research
Reinforcement learning is an infrastructure problem
Generate & Show QR Code
aiwoayanleye/books: A collection of some books and essays I like to read ·
Thistle - Chef crafted, nutritionist approved.
hella books
Amphora — Emotion Intelligence for Generative AI
Simplr — Superhuman Intelligence
[2205.03260] Astral Space: Convex Analysis at Infinity
[2411.02764] Fast, robust approximate message passing
Random Matrices and the Sum-of-Squares Hierarchy | EECS at UC Berkeley
Guy Moshkovitz - Summer Position
GitHub - furrutiav/flann-wiki: Non-official FLaNN wiki: a curated database of theory-oriented papers analyzing neural networks through mathematics, computer science, and linguistics, with a focus on expressivity, learnability, and interpretability. · GitHub
FLaNN Workshop 2026
Relax and Conquer | A math research blog by Afonso S. Bandeira | Page 2
web.archive.org/web/20150219014852/https://www.massey.ac.nz/~rmclachl/overthehill.html
Cosmas Kravaris
Machine Thoughts
Random Matrix Theory
SEEM 5380: Optimization Methods for High-Dimensional Statistics (2021-22)
MATS How to get accepted
[2405.10297] Low-Degree Polynomials Are Good Extractors
Research | Shivam Nadimpalli
CSC2414 (Fall 2015): Discrepancy Theory in Computer Science
Clayton’s Blog | Random thoughts about machine learning, algorithms, math, running, living in New York, and more.
[2506.10748] Computational Complexity of Statistics: New Insights from Low-Degree Polynomials
Wayback Machine
A computation a day: Picard groups of (some) singular curves | Hard Arithmetic
empirical_process_v3.pdf - Google Drive
Lenya Ryzhik
Quantum Algorithm Zoo
About Me · Amit Rajaraman