Defending Against ToolShell: SharePoint’s Latest Critical Vulnerability
sentinelone.com·1d
🎫Kerberos Exploitation
How ChatGPT Claude interprets my blog
thomasrigby.com·1d
🏠Personal Archives
Intelligence Brief - Exploitation of Microsoft Vulnerability CVE-2025-53770
cstromblad.com·1d
🎫Kerberos Exploitation
Ordering Without Barriers: Engineering Our Websites for Accessibility
thesidedish.flipdish.com·10h·
Discuss: Hacker News
📚MARC Evolution
Downloading arbitrary Apple Podcast episode transcripts
blog.alexbeals.com·9h·
Discuss: Hacker News
✅FLAC Verification
Migrating to AWS in production with zero downtime
loops.so·1d·
Discuss: Hacker News
🏠Homelab Orchestration
ICML 2025 Outstanding Paper Awards
icml.cc·1d·
Discuss: Hacker News
🧠Machine Learning
Algos and Code Performance: Your Code Works but Can It Handle Real Traffic?
beon.tech·15h·
Discuss: Hacker News
🌊Stream Processing
HypoChainer: A Collaborative System Combining LLMs and Knowledge Graphs for Hypothesis-Driven Scientific Discovery
arxiv.org·1h
🕸️Knowledge Graphs
Local Dev Environment Is a Product. Treat It Like One
medium.com·1h·
Discuss: Hacker News
🐚Nordic Shell
Archive/Retire Your Siebel CRM Applications: The Smarter Path to Compliance and Cost Savings
dev.to·22h·
Discuss: DEV
🚚Data Migration
Compliance relics: the case against PDFs and screenshots
techradar.com·2d
🔗Data Provenance
How I make teams productive
dev.to·7h·
Discuss: DEV, r/programming
🔩Systems Programming
Advanced PDF Optimization Techniques - 1753195
dev.to·1d·
Discuss: DEV
📝Text Compression
LOCOFY Large Design Models -- Design to code conversion solution
arxiv.org·1d
🦋Format Metamorphosis
Meet Aeneas: the AI that can fill in the gaps of damaged Latin texts
nature.com·13h
🤖AI Paleography
🐍 Top 51 Python Tasks Every Beginner Should Solve
dev.to·1d·
Discuss: DEV
⚡Proof Automation
Advanced PDF Optimization Techniques - 1752979
dev.to·4d·
Discuss: DEV
📦Deflate
Advanced PDF Optimization Techniques - 1753001
dev.to·3d·
Discuss: DEV
📦Deflate
Exploring the Frontiers of kNN Noisy Feature Detection and Recovery for Self-Driving Labs
arxiv.org·1h
🧠Machine Learning