Fedora 43 Cleared To Ship With Zstd Initrd, Updated Compiler Toolchains & More
phoronix.com·29m
🐧FOSS
Building a (kind of) invisible Mac app
pierce.dev·18h·
Discuss: Hacker News
🖥️Vintage Macintosh
Solitaire Cryptographic Algorithm
en.wikipedia.org·1h·
Discuss: Hacker News
🔐Cryptographic Archaeology
Pop Culture - A week and a half ago, Goldman Sachs put out a 31-page-report (titled "Gen AI: Too Much Spend, Too Little Benefit?”)
wheresyoured.at·14h
🔲Cellular Automata
I Used Arch, BTW: macOS, Day 1
yberreby.com·2d·
Discuss: Hacker News
🖥️Vintage Macintosh
GitHub's required status checks are fail-open and not fail-close
github.com·19h·
Discuss: Hacker News
🛡️Archive Verification
Day 40: When Easy Stops Being Hard
dev.to·2d·
Discuss: DEV
⚔️Lean Tactics
An Overview of the Risk-based Model of AI Governance
arxiv.org·9h
🌍Cultural Algorithms
(Python) Poste Italiane document parser
github.com·23h·
Discuss: Hacker News
📄PostScript
Machine Learning Fundamentals: ensemble learning tutorial
dev.to·1d·
Discuss: DEV
🌊Stream Processing
How a Legal Advocate Built an AI-Powered Case Intake & Memo Generator — Without Writing Code
dev.to·4h·
Discuss: DEV
⚡Proof Automation
RomM v4.0.0 (self-hosted ROM manager/player) has been released
github.com·13h·
Discuss: Hacker News
🎮Game Decompilation
A new way to edit or generate images
news.mit.edu·18h·
Discuss: Hacker News
🤖Advanced OCR
Complete Beginner's Guide to Building AI Agents with LangChain and LangGraph
dev.to·1d·
Discuss: DEV
🔗Constraint Handling
Scalable Climate Data Analysis: Balancing Petascale Fidelity and Computational Cost
arxiv.org·9h
⚡Incremental Computation
Want to be a Linux Developer.
reddit.com·19h·
Discuss: r/linux
🔩Systems Programming
A Formal Model of the Economic Impacts of AI Openness Regulation
arxiv.org·9h
🔓Open Source Software
Graph-Structured Data Analysis of Component Failure in Autonomous Cargo Ships Based on Feature Fusion
arxiv.org·1d
🧠Machine Learning
How to handle people dismissing io_uring as insecure?
github.com·1d·
Discuss: Hacker News
🔩Systems Programming
Skill Learning via Policy Diversity Yields Identifiable Representations for Reinforcement Learning
arxiv.org·9h
📈Mutual Information