Reverse Engineering the Microchip CLB Part 1: Background and Reverse Engineering the BLEs
mcp-clb.markomo.me·23h·
Discuss: Lobsters, Hacker News
🔬Binary Analysis
Why Dyad?: A Perspective for Modelica Users
juliahub.com·1d·
Discuss: Hacker News
💧Liquid Types
Stop Chasing “Efficiency AI.” The Real Value Is in “Opportunity AI.”
towardsdatascience.com·1d
🌊Stream Processing
How much code does that proc macro generate?
nnethercote.github.io·1d·
Discuss: Lobsters, Hacker News, r/programming
🦀Rust Macros
The Bitter Lesson is coming for Tokenization
lucalp.dev·2d·
Discuss: Lobsters, Hacker News, r/programming
🔗Monadic Parsing
Optional Chaining (.?) in JS — Write Shorter & Safer Code!
dev.to·19h·
Discuss: DEV
✅Format Verification
Stochastic Quantum Spiking Neural Networks with Quantum Memory and Local Learning
arxiv.org·1h
⚛️Quantum Storage
Using Wavelets and Clustering to Predict Odd or Even Numbers: An Overengineered Approach with Pretty (But Confusing) Plots
dev.to·1d·
Discuss: DEV
🧠Machine Learning
SUTRA: Decoupling Concept & Language for Multilingual LLM Excellence
hackernoon.com·1d
💻Local LLMs
A large deviation view of \emph{stationarized} fully lifted blirp interpolation
arxiv.org·2d
📐Compression Bounds
Programming, Not Prompting: A Hands-On Guide to DSPy
towardsdatascience.com·3d
🧮Z3 Solver
Probing AI Safety with Source Code
arxiv.org·1d
✨Effect Handlers
CCRS: A Zero-Shot LLM-as-a-Judge Framework for Comprehensive RAG Evaluation
arxiv.org·1d
📏Linear Logic
Algorithm Complexity: Time, Space, and Big-O Notation
dev.to·1d·
Discuss: DEV
🧮Kolmogorov Complexity
Mirage of Mastery: Memorization Tricks LLMs into Artificially Inflated Self-Knowledge
arxiv.org·2d
🧠Intelligence Compression
OctoThinker: Mid-training Incentivizes Reinforcement Learning Scaling
arxiv.org·1d
🔲Cellular Automata
COIN: Uncertainty-Guarding Selective Question Answering for Foundation Models with Provable Risk Guarantees
arxiv.org·1d
🧠Intelligence Compression
Technical Challenges and Solutions in AI Tarot System Development Using Claude 3.7
dev.to·21h·
Discuss: DEV
🌊Stream Processing
Structural Optimal Jacobian Accumulation and Minimum Edge Count are NP-Complete Under Vertex Elimination
arxiv.org·3d
🎯Performance Proofs
Cost-Effective Optimization and Implementation of the CRT-Paillier Decryption Algorithm for Enhanced Performance
arxiv.org·3d
🔢Bitwise Algorithms