🗿 EBCDIC Archaeology

Mainframe Character Sets, IBM Heritage, Cultural Encoding, Legacy Translation, Historical Standards

The CISO Outlook 2025: Navigating Evolving Domain-Based Threats in an Era of AI and Regulation
circleid.com·18h
🌐DNS Security
What happens when you push to git.sr.ht, and why was it so slow?
sourcehut.org·51m
🌳Git Internals
CPU Branch Prediction – Earliest Forms of Machine Learning
medium.com·1d·
Discuss: Hacker News
⚡CPU Microarchitecture
How AI Retrieves Anatomical Structures Using Vector Databases
hackernoon.com·2d
🗂️Vector Search
Where LLMs Have Been Useful (For Rebuilding a Car)
outruncarbon.com·3h·
Discuss: Hacker News
🧩WASM Components
Model inference, model products, and AI applications
frontierai.substack.com·16h·
Discuss: Substack
🔌Interface Evolution
Popular nx packages compromised on NPM
aikido.dev·1d·
Discuss: Hacker News
💣ZIP Vulnerabilities
CAD, From Scratch: MakerCAD
hackaday.com·1h
🔬Binary Analysis
I built a tool to benchmark tokenizers across 100+ languages and found some wild disparities [R]
reddit.com·2d·
Discuss: r/MachineLearning
⚙️Compression Benchmarking
Brilliant! 13th Gen Solid Firewall PC Core i7-13620H 4x10G SFP 4x2.5G Nics. Finally, a firewall box with 4 10G sfp ports! Right? Uh, right?
i.redd.it·1h·
Discuss: r/homelab
🔌Operating system internals
From Web Development to AI Automation: Sparktopus Sets New Standards in IT Services
dev.to·1d·
Discuss: DEV
🏠Homelab Orchestration
PRISM: Robust VLM Alignment with Principled Reasoning for Integrated Safety in Multimodality
arxiv.org·2d
💻Local LLMs
Orchid: Orchestrating Context Across Creative Workflows with Generative AI
arxiv.org·1d
🔄Archival Workflows
How good is the coding ability of GPT-5?A deep, professional guide
dev.to·1d·
Discuss: DEV
💧Liquid Types
Evaluation and LLM-Guided Learning of ICD Coding Rationales
arxiv.org·3d
🔗Constraint Handling
Unlearning Concepts from Text-to-Video Diffusion Models
arxiv.org·5h
📊Learned Metrics
Beyond Optimization: Exploring Novelty Discovery in Autonomous Experiments
arxiv.org·5h
🏺Computational Archaeology
Vibe Coding a Simple Feature Took 3 Hours. Here's Why.
dev.to·1d·
Discuss: DEV
✨Effect Handlers
MobText-SISA: Efficient Machine Unlearning for Mobility Logs with Spatio-Temporal and Natural-Language Data
arxiv.org·1d
🧪Data science
Deciphering NLR Decoy Domain Dynamics via Multi-scale Bayesian Network Inference
dev.to·12h·
Discuss: DEV
🧮Kolmogorov Complexity