A laundry basket of reform leaves a lot of washing to be done
abc.net.au·23h
💰Archive Economics
1Password 8.11.6
tidbits.com·2h
🔤Character Encoding
New resource on AI & Open Source for U.S. policymakers
opensource.org·1d·
Discuss: Hacker News
🔓Open Source Software
Microsoft Warns Excel's New AI Function 'Can Give Incorrect Responses' in High-Stakes Scenarios
it.slashdot.org·2d
🧮Algebraic Datatypes
AI Leap 2025: Estonia Sets the Global Standard for AI in Education
e-estonia.com·19h·
Discuss: Hacker News
🗺️Competency Maps
SchemaCrawler – Free database schema discovery and comprehension tool
schemacrawler.com·3d·
Discuss: Hacker News
🔄Schema Evolution
Building the Chiplet Ecosystem – By Austin Lyons
chipstrat.com·1d·
Discuss: Hacker News
🧲RISC-V Archaeology
Is there a sane way to create effective namespaces for Go's "enums"?
reddit.com·2d·
Discuss: r/golang
💧Liquid Types
Tennis Legend Roger Federer Is Now A Billionaire
forbes.com·13h
🏴‍☠️Piracy
Show HN: Kuvasz Uptime 2.5.0 – custom request headers and bodies
github.com·17h·
Discuss: Hacker News
🔌Interface Evolution
Used small-scale Al to rank "good" vs "garbage" directories (surprising results)
reddit.com·4d·
Discuss: r/artificial
🔍BitFunnel
Reflecting on 10 years in open source network security: Lessons from FastNetMon
blog.apnic.net·2d
🤖Network Automation
BW21-CBV-Kit Vending Machine Pricing and Object Recognition
hackster.io·1d
🔌Single Board PC
Bisimilarity and Simulatability of Processes Parameterized by Join Interactions
arxiv.org·2d
⚡Dependent Rust
Dynamic Organizational Resilience Assessment via Multi-Modal Data Fusion & HyperScore Evaluation
dev.to·4d·
Discuss: DEV
🎯Recommendation Metrics
BIPOLAR: Polarization-based granular framework for LLM bias evaluation
arxiv.org·4d
📝ABNF Parsing
What I Learned From a Week of AI-Assisted Coding: The Good, The Bad, and The Surprisingly Counterintuitive
dev.to·2d·
Discuss: DEV
🔄Language Evolution
Show HN: Pluely v0.1.1 – OSS Cluely alternative with custom/local LLM support
github.com·2d·
Discuss: Hacker News
🌀Brotli Internals
A shocking amount of companies are knowingly shipping insecure code - and it might be hard to recover
techradar.com·4d
📏Code Metrics
Unlocking the Magic: My First ML Project – Handwritten Digit Recognition with MNIST ✨
dev.to·5d·
Discuss: DEV
🧠Machine Learning