Recommended reading: history of large language models
noncommutativeanalysis.wordpress.com·1d
🤖Lisp Machines
Metasploit Wrap Up 10/09/2025
rapid7.com·4d
🛡️eBPF Security
The Legacy Code Survival Guide: Add Features Without Fear
understandlegacycode.com·6d
🔓Decompilation
Show HN: We used LZMA to encode data into a URL
standardsapplied.com·2d·
Discuss: Hacker News
🌀Differential Geometry
Godot Ruined My Sense of Speed
daymare.net·23h·
Discuss: r/SoftwareEngineering, r/godot, r/rust, r/rust_gamedev
🎮Game Decompilation
Functional guarantees for semantic awareness on graphs
researchgate.net·1d·
Discuss: Hacker News
🧮Kolmogorov Complexity
Simplifying OpenTelemetry pipelines in Kubernetes
fatihkoc.net·14h·
Discuss: Hacker News, r/devops
👁️Observatory Systems
Let's Write a Macro in Rust
hackeryarn.com·3d·
Discuss: Hacker News, r/rust
🦀Rust Macros
VibeAlive: Cleaning Up the Code Chaos of AI-Assisted Development
vibe.forem.com·23h·
Discuss: DEV
🌀Brotli Dictionary
Is Your Fridge About to Order Groceries For You? Demystifying the Metaverse's "Twin" - Digital Twins
dev.to·10h·
Discuss: DEV
🌐Archive Topology
The Death of the Curious Developer
hackernoon.com·3d
🧭Content Discovery
Estimating Brain Activity with High Spatial and Temporal Resolution using a Naturalistic MEG-fMRI Encoding Model
arxiv.org·17h
📊Quantization
On the Alignment Between Supervised and Self-Supervised Contrastive Learning
arxiv.org·17h
🧠Machine Learning
MetaGraph: Scalable annotated de Bruijn graphs for DNA indexing and alignment
github.com·4d·
Discuss: Hacker News
🔄Burrows-Wheeler
A Manifesto for the Programming Desperado
github.com·3d·
Discuss: Hacker News
💻Programming languages
SAM2-3dMed: Empowering SAM2 for 3D Medical Image Segmentation
arxiv.org·17h
🌀Riemannian Computing
Krish Naik: Complete RAG Crash Course With Langchain In 2 Hours
dev.to·1d·
Discuss: DEV
📊Multi-vector RAG
Modeling Time-Lapse Trajectories to Characterize Cranberry Growth
arxiv.org·17h
🧠Machine Learning
Krish Naik: Complete RAG Crash Course With Langchain In 2 Hours
dev.to·7h·
Discuss: DEV
📊Multi-vector RAG
High-Throughput Fiber Optic Channel Monitoring via Dynamic Bayesian Network Inference
dev.to·1d·
Discuss: DEV
📊Homelab Monitoring