A non-digital service example of working in the open
blog.ldodds.com·1d
🏺Media Archaeology
Yurei & The Ghost of Open Source Ransomware
research.checkpoint.com·1d
🎫Kerberos Exploitation
Securing AI Workloads in Kubernetes: Why Traditional Network Security Isn’t Enough
tigera.io·2d
👁️Observatory Systems
Effects of natural extracts in cognitive function: systematic meta-analysis
frontiersin.org·16h·
Discuss: Hacker News
🔍Information Retrieval
AI Assistant for Statements, Invoices and Receipts
bankgpt.io·1d·
Discuss: Hacker News
🧬PostgreSQL Forensics
Massively Parallel Agentic Simulations with Ray
anyscale.com·2d·
Discuss: Hacker News
⚙️Operating System Design
Thinking Machines Lab wants to make AI models more consistent
techcrunch.com·2d·
Discuss: Hacker News
🤖Lisp Machines
Cutting-Edge AI vs. Solid Architecture: Which Will Transform Your Business?
blog.mangoteque.com·2d·
Discuss: Hacker News
❄️Nix Adoption
Nyquist–Shannon Sampling Theorem
en.wikipedia.org·1d·
Discuss: Hacker News
🔊Audio Compression Theory
Detection Engineering: Practicing Detection-as-Code – Versioning – Part 5
blog.nviso.eu·4d
✅Archive Validation
Build Godot projects for iOS, on any platform, without the SDK!
github.com·1d·
Discuss: Hacker News, r/godot, r/golang
🎮Switch Archaeology
Orc Protocol: Heavier than IRC, lighter than XMPP
github.com·2d·
Discuss: Hacker News
🏺Protocol Archaeology
DCP-o-matic • Re: DCP with CPLs with different audio tracks, Verify gives an error.
dcpomatic.com·1d
✅FLAC Verification
A layered architecture for log analysis in complex IT systems
arxiv.org·2d
👁️Observatory Systems
Quantifying REM-NREM Sleep Cycle Coordination via Bayesian Dynamic Networks
dev.to·1d·
Discuss: DEV
🧠Machine Learning
Technical documentation: what it is, why it breaks, and how to keep it up to date
dev.to·1d·
Discuss: DEV
📚Documentation Archaeology
First Impressions with Amazon Bedrock AgentCore
dev.to·2d·
Discuss: DEV
🏠Homelab Orchestration
Building a Local Documentation Chatbot with Python, FAISS, and OpenAI
dev.to·5d·
Discuss: DEV
🤖Archive Automation
MachineLearningLM: Continued Pretraining Language Models on Millions of Synthetic Tabular Prediction Tasks Scales In-Context ML
arxiv.org·4d
🤖Grammar Induction
🛡️ Understanding Prompt Injection Attacks in LLMs — with Real Scenarios and Code Examples
dev.to·4d·
Discuss: DEV
🛡️WASM Security