Online activities 6 – 12 October
ests.wordpress.com·5d
🏗️Constructive Mathematics
Hacking a Game Boy Emulator to Output MIDI to Multiple Hardware Synths
dr-schlange.github.io·18h·
Discuss: Hacker News
🎮Gameboy Emulation
Experiments With Sonnet 4.5's Fiction
lesswrong.com·23h·
Discuss: Hacker News
🔗Concatenative Languages
Looking at kmalloc() and the SLUB Memory Allocator (2019)
ruffell.nz·4h·
Discuss: Hacker News
🧠Memory Allocators
Building A Real-Time Communication System Using Go and WebSocket
dev.to·1d·
Discuss: DEV
🌐WebSocket Framing
Built a “code-first + visual” ETL/ELT Pipeline in Go — feedback wanted from data folks
reddit.com·21h·
Discuss: r/golang
💧Liquidhaskell
Real-Time Disaster Response via Distributed CubeSat EO with Adaptive Spectral Unmixing
dev.to·4h·
Discuss: DEV
📥Feed Aggregation
Introducing Honey Nudger, and Why We're Launching with a Founder's Circle
dev.to·1d·
Discuss: DEV
🤖AI Curation
Building an AI-Powered Lead Gen Workflow with n8n, Apify, and Gemini
dev.to·1d·
Discuss: DEV
🤖Archive Automation
🚀 Unlocking Productivity: AI Tools Every Angular Developer Should Know
dev.to·8h·
Discuss: DEV
🦀Rust Macros
RedTWIZ: Diverse LLM Red Teaming via Adaptive Attack Planning
arxiv.org·3d
⚔️Lean Tactics
Attention Sinks and Compression Valleys in LLMs are Two Sides of the Same Coin
arxiv.org·3d
🧠Neural Compression
Comparing human and language models sentence processing difficulties on complex structures
arxiv.org·3d
🔗Parser Combinators
Off-Trajectory Reasoning: Can LLMs Collaborate on Reasoning Trajectory?
arxiv.org·3d
📏Linear Logic
From Defender to Devil? Unintended Risk Interactions Induced by LLM Defenses
arxiv.org·2d
✨Effect Handlers
From Intern to Innovator: 5 AI-Driven Patterns That Transformed My Developer Journey
dev.to·6h·
Discuss: DEV
🔄Language Evolution
CIR-CoT: Towards Interpretable Composed Image Retrieval via End-to-End Chain-of-Thought Reasoning
arxiv.org·2d
🧮Vector Embeddings
Synergy Between the Strong and the Weak: Spiking Neural Networks are Inherently Self-Distillers
arxiv.org·2d
🧠Machine Learning
Lost in Translation: Unmasking Cultural Blind Spots in AI Video Analysis
dev.to·3h·
Discuss: DEV
🌍Cultural Algorithms
Fast Leave-One-Out Approximation from Fragment-Target Prevalence Vectors (molFTP) : From Dummy Masking to Key-LOO for Leakage-Free Feature Construction
arxiv.org·4d
🧮SMT Solvers