Cheesy Town
gbstudiocentral.comยท2d
๐Ÿ“ผRetro Games
CatColab
catcolab.orgยท1d
๐Ÿ›Digital humanities
Detecting Organic Contaminants with Less Data
mirawelner.comยท1dยท
Discuss: Lobsters, Hacker News
๐ŸŒˆSpectroscopy
Automated Function ID Database Generation in Ghidra on Windows
blog.mantrainfosec.comยท6dยท
Discuss: Hacker News
๐Ÿ”“Decompilation
Tactical Trust (1 of 2): Platform Crypto for Developers
tiemoko.comยท4dยท
Discuss: Hacker News
๐ŸŒณArchive Merkle Trees
Assembling a Retro Chip Tester Pro
celso.ioยท4dยท
Discuss: Hacker News
โšกCircuit Archaeology
How AI chip upstart FuriosaAI won over LG with its power-sipping design
theregister.comยท19hยท
Discuss: Hacker News
๐Ÿ–ฅ๏ธModern Terminals
AI Market Clarity
blog.eladgil.comยท21hยท
Discuss: Hacker News
๐Ÿด๓ ง๓ ข๓ ณ๓ ฃ๓ ด๓ ฟScottish Computing
Five fundamentals for a cyber-resilient future
news.sophos.comยท3h
๐ŸŽฏThreat Hunting
DevlogOS โ€“ A Lightweight DevOps OS That Traces Developer Intent
github.comยท1dยท
Discuss: Hacker News
โ„๏ธNix Adoption
A beginner's guide to the Background-Remover model by 851-Labs on Replicate
dev.toยท2dยท
Discuss: DEV
๐Ÿ”“Reverse engineering
Claude Code Spec Workflow: Automated Spec-Driven Workflow for Claude Code
github.comยท2dยท
Discuss: Hacker News, Hacker News
โšกProof Automation
๐Ÿ–ฑ๏ธ Why Your Clicks Matter More Than You Think (and How to Optimize Them)
dev.toยท7hยท
Discuss: DEV
๐Ÿ“ŠFeed Optimization
Myth vs. Reality: Real-World Runtime Performance of Node.js, Deno, and Bun
hackernoon.comยท1d
๐ŸŒWeb Standards
Language Generation in the Limit: Noise, Loss, and Feedback
arxiv.orgยท1d
๐Ÿ’ปProgramming languages
๐Ÿš€ Introducing SyntaxRush: A Terminal-Based Code Typing Game for Developers
dev.toยท3dยท
Discuss: DEV
๐ŸŒณIncremental Parsing
Coloring Book Generators
dev.toยท1dยท
Discuss: DEV
๐Ÿ“ฐSGML
PICACO: Pluralistic In-Context Value Alignment of LLMs via Total Correlation Optimization
arxiv.orgยท10h
๐Ÿ› Language Design
Start Your AI Journey
dev.toยท4hยท
Discuss: DEV
๐Ÿง Intelligence Compression
Meta-learning of Gibbs states for many-body Hamiltonians with applications to Quantum Boltzmann Machines
arxiv.orgยท10h
๐Ÿ•ธ๏ธTensor Networks