Thoughts on creating a tracking pointer class, part 8: Tracking const objects
devblogs.microsoft.com·8h
🔗Static Linking
Marshal madness: A brief history of Ruby deserialization exploits
blog.trailofbits.com·1d·
Discuss: Hacker News
🔒Linear Types
Show HN: Serverless platform for running voice AI agents
blog.livekit.io·4h·
Discuss: Hacker News
🌊Streaming Systems
Dyna – Logic Programming for Machine Learning
dyna.org·4d·
Discuss: Lobsters, Hacker News, r/compsci
🔗Constraint Handling
GPT-OSS from the Ground Up
cameronrwolfe.substack.com·1d·
Discuss: Substack
💻Local LLMs
What I’d Buy If I Could Only Invest $1,000 in Crypto
hackernoon.com·16h
🔍BitFunnel
Stupidity as a Service
lawrenc.es·14h·
Discuss: Hacker News
🐛Fuzzing
AGI's Moving Finish Line
signalfire.com·2d·
Discuss: Hacker News
🧮Theorem Proving
Inclusion Arena: An Open Platform for Evaluating Large Foundation Models with Real-World Apps
arxiv.org·2d
🔠Type-Level Programming
Code Vulnerability Detection Across Different Programming Languages with AI Models
arxiv.org·1d
🧪Binary Fuzzing
Carter2099/dsa.rb: A CLI test suite for implementations of core Ruby algorithms
github.com·11h·
Discuss: Hacker News
⚔️Lean Tactics
Approximating the universal thermal climate index using sparse regression with orthogonal polynomials
arxiv.org·2d
📐Error Bounds
MPOCryptoML: Multi-Pattern based Off-Chain Crypto Money Laundering Detection
arxiv.org·1d
🔗Hash Chains
Melting Go, Vue, and Templ together in Gooo
reddit.com·18h·
Discuss: r/golang
🏎️Varnish Cache
A Hybrid Surrogate for Electric Vehicle Parameter Estimation and Power Consumption via Physics-Informed Neural Operators
arxiv.org·1d
🧠Machine Learning
Real-Time Anomaly Detection in Time-Series Model Metrics via Federated Gaussian Process Regression
dev.to·1d·
Discuss: DEV
👁️Observatory Systems
Consumer Autonomy or Illusion? Rethinking Consumer Agency in the Age of Algorithms
arxiv.org·18h
🧲Magnetic Philosophy
TRACY: Benchmarking Execution Efficiency of LLM-Based Code Translation
arxiv.org·2d
📏Code Metrics
From side project to meaningful gift: Building Love Tales in public
dev.to·8h·
Discuss: DEV
🏛Digital humanities
A Self-Ensemble Inspired Approach for Effective Training of Binary-Weight Spiking Neural Networks
arxiv.org·1d
🧠Machine Learning