Hear What the Language Spoken by Our Ancestors 6,000 Years Ago Might Have Sounded Like
openculture.com·2h
🎵Music Universality
No more spaghetti – Operational CTI Value of VMRay UniqueSignal x OpenCTI
vmray.com·21h
🖥️Modern Terminals
Vexing Exceptions
ericlippert.com·4d·
Discuss: Hacker News
🧪Binary Fuzzing
VLLM Predicted Outputs
cascadetech.ai·3d·
Discuss: Hacker News
💻Local LLMs
How slow is channel-based iteration?
dolthub.com·4d·
Discuss: r/golang
🎯Gradual Typing
What's The Deal With GitHub Spec Kit
den.dev·2d·
Discuss: Hacker News
🔄Reproducible Builds
5 NotebookLM Tips to Make Your Day a Little Easier
kdnuggets.com·23h
📊Feed Optimization
The Seven Trillion Dollar Scam
alilybit.com·1d·
Discuss: Hacker News
🔲Cellular Automata
How to store ordered information in a Relational Database (2015)
softwareengineering.stackexchange.com·4d·
🧮Algebraic Datatypes
LLMs and the Lessons We Still Haven't Learned
jampa.dev·19h·
Discuss: Hacker News
🌀Brotli Internals
Go Memory Optimization: Real-World Lessons from the Trenches
dev.to·1d·
Discuss: DEV
🧠Memory Allocators
Low Complexity Detector for XL-MIMO Uplink: A Cross Splitting Based Information Geometry Approach
arxiv.org·1d
🧮Kolmogorov Complexity
ARES: Multimodal Adaptive Reasoning via Difficulty-Aware Token-Level Entropy Shaping
arxiv.org·4d
🧮Kolmogorov Complexity
Your MCP Agents Can Access Everything. They Can't Prove Who They Are. Here's Why That's Dangerous.
dev.to·14h·
Discuss: DEV
🌳Archive Merkle Trees
From Documents to Dialogue: A step-by-step RAG Journey
dev.to·3d·
Discuss: DEV
📊Multi-vector RAG
GNN Predictions: Hidden Bugs and the Verification Nightmare by Arvind Sundararajan
dev.to·3d·
Discuss: DEV
⚙️Proof Engineering
I Built a ChatGPT Clone for $100. It Outperforms OpenAI on These 3 Tasks.
dev.to·8h·
Discuss: DEV
gRPC
I Wrote 42 Books Using ChatGPT: Here's What I Learned About Prompting
dev.to·3d·
Discuss: DEV
Proof Automation
Unified Upper Bounds on the ML decoding Error Probability of Spinal Codes over Fading Channels
arxiv.org·7h
📊Shannon Entropy
APLOT: Robust Reward Modeling via Adaptive Preference Learning with Optimal Transport
arxiv.org·7h
🧠Machine Learning