Knowledge and Common Knowledge in a Distributed Environment, Part 2
emptysqua.re·1d
🤝Paxos Consensus
Guessing Game: Haskell Style
entropicthoughts.com·1d
👑Dependent Haskell
Convergence and Generalization of Anti-Regularization for Parametric Models
arxiv.org·21h
🧠Machine Learning
On the Edge of Memorization in Diffusion Models
arxiv.org·21h
📊Learned Metrics
Did GPT-5 Solve 'New Math'?
tech2geek.net·15h·
Discuss: Hacker News
🎯Performance Proofs
Adversarial Examples Are Not Bugs, They Are Superposition
livgorton.com·6h·
Discuss: Hacker News
🧠Machine Learning
Adaptive DDoS Mitigation via Hyper-Dimensional Signature Correlation & Dynamic Recursion
dev.to·2d·
Discuss: DEV
👁️Observatory Systems
It takes 26 yottabytes of RAM to typecheck a union of Safe Integers
jacobasper.com·1d·
Discuss: Hacker News
🦀Rusty Databases
I reverse-engineered a bug in my PPO agent that gave it a 9x performance boost
theprincipledagent.com·9h·
Discuss: Hacker News
⚡Performance Mythology
A Novel Framework for Uncertainty Quantification via Proper Scores for Classification and Beyond
arxiv.org·21h
📊Learned Metrics
Linear Dynamics meets Linear MDPs: Closed-Form Optimal Policies via Reinforcement Learning
arxiv.org·21h
🔲Cellular Automata
Memory optimizations to reduce CPU costs
ayende.com·1d·
Discuss: Hacker News
📝Text Compression
[P] aligning non-linear features with your data distribution
reddit.com·1d·
Discuss: r/MachineLearning
🧠Machine Learning
Notes on Autograd
aschrein.github.io·1d·
Discuss: Hacker News
⚡Incremental Computation
Show HN: DataCompose – Prevent downstream data failures with composite functions
datacompose.io·1d·
Discuss: Hacker News
✅Format Validation
CSPs - Part 1: How to (Almost) Always Win at Minesweeper
dev.to·8h·
Discuss: DEV
🔲Cellular Automata
TabResFlow: A Normalizing Spline Flow Model for Probabilistic Univariate Tabular Regression
arxiv.org·21h
📊Count-Min Sketch
Reconciling Communication Compression and Byzantine-Robustness in Distributed Learning
arxiv.org·21h
🤝Consensus Algorithms
Why a simple for loop (brute-force k-NN) becomes computationally impossible for modern AI applications
dev.to·1d·
Discuss: DEV
🧮Kolmogorov Complexity
TRIM: Accelerating High-Dimensional Vector Similarity Search with Enhanced Triangle-Inequality-Based Pruning
arxiv.org·21h
🗂️Vector Databases