Testing in Production
blog.scottlogic.com·1d
👁️System Observability
ML in the Home
blog.raymond.burkholder.net·3d
📈Time Series
Computer-vision research powers surveillance technology
nature.com·1d·
Discuss: Hacker News
🔎OSINT Techniques
I'm a founder and I wrote an honest review of DocSend alternatives
peony.ink·12h·
Discuss: Hacker News
🏺ZIP Archaeology
Out-of-Band, Part 1: The new generation of IP KVMs and how to find them
runzero.com·16h·
Discuss: Hacker News
🕸️WASM Archives
Creative Commons Introduces CC Signals: A New Social Contract for the Age of AI
creativecommons.org·6h·
Discuss: Hacker News
⚖️Emulation Ethics
Navy SEALs, Performance vs. Trust, and AI
mljar.com·17h·
Discuss: Hacker News
🎯Threat Hunting
Balancing cost and carbon in the AI era of data infrastructure
techradar.com·21h
💰Preservation Economics
From 0→∞: My PhD Lessons on Innovating User-Centric ML Systems
amberljc.github.io·11h·
Discuss: Hacker News
🧭Content Discovery
Design Decisions Behind app.build, a Prompt-to-App Generator
neon.com·14h·
Discuss: Hacker News
🌊Streaming Systems
Using Amazon SageMaker AI Random Cut Forest for NASA’s Blue Origin spacecraft sensor data
aws.amazon.com·13h
🌀Differential Geometry
LARP: Learner-Agnostic Robust Data Prefiltering
arxiv.org·1d
💻Local LLMs
SAC: A Framework for Measuring and Inducing Personality Traits in LLMs with Dynamic Intensity Control
arxiv.org·1h
🧠Intelligence Compression
SMOTE or Synthetic Data for Handling Class Imbalance? I Wrote About It on ThinkML
dev.to·1h·
Discuss: DEV
💧Liquid Types
An AI Agent That Interprets Papers So You Don’t Have To: Full Build Guide
hackernoon.com·17h
🔬Academic Search
A large deviation view of \emph{stationarized} fully lifted blirp interpolation
arxiv.org·2d
📐Compression Bounds
Stochastic and Non-local Closure Modeling for Nonlinear Dynamical Systems via Latent Score-based Generative Models
arxiv.org·1h
🧠Machine Learning
Never Underestimate Memory Architecture - Bryan Boreham, Grafana Labs
youtube.com·8h
🌊Stream Processing
Probing AI Safety with Source Code
arxiv.org·1d
✨Effect Handlers
The Power of Strong Linearizability: the Difficulty of Consistent Refereeing
arxiv.org·3d
🎯Performance Proofs