Hold On Let Go: Urns for Living and the Art of Trusting Time
themarginalian.org·16h
🧲Magnetic Philosophy
Smartwatches
perrotta.dev·8h
🗜️LZW Variants
Show HN: Reviving the Mailbox app nostalgia by rebooting a 0 inbox mail app
two-trick-pony-nl.github.io·2d·
Discuss: Hacker News
🗜️Zstandardized Archives
New Release: Tails 6.18
blog.torproject.org·1d
🔄Sync Engine
The app I never launched
asad.pw·10h·
Discuss: Hacker News
🚀Indie Hacking
Joining Bluesky: Opportunities and risks for the scientific community
fabriziomusacchio.com·2d·
Discuss: Hacker News
🐧FOSS
Ending 'woke AI' isn't enough: fight the 'monster' within it
nypost.com·2d·
Discuss: Hacker News
🔲Cellular Automata
Microsoft-owned GitHub: Open source needs funding. Ya think?
theregister.com·2d·
Discuss: Hacker News
🔓Open Source Software
Debian isn't waiting for 2038 to blow up, switches to 64-bit time for everything
theregister.com·1d
🎯Emulation Accuracy
BlueField Experiments can start…
i.redd.it·2d·
Discuss: r/homelab
🔩Systems Programming
Show HN: UniversalBit – A new binary protocol to connect voice, video and DNA
github.com·1d·
Discuss: Hacker News
👂Audio Evidence
The Algorithmic con: Is Our AI-Powered World Becoming The Matrix?
hackernoon.com·1d
🧲Magnetic Philosophy
Understanding NoSQL Databases: A Flexible Approach to Data Storage day 13 of learning system Design
dev.to·2d·
Discuss: DEV
📊Graph Databases
Wasserstein GAN-Based Precipitation Downscaling with Optimal Transport for Enhancing Perceptual Realism
arxiv.org·1d
⧗Information Bottleneck
Orka-Reasoning
dev.to·2d·
Discuss: DEV
🌊Streaming Systems
VoiceFlow Pro - AI-Powered Business Process Discovery & Automation Voice Agent
dev.to·23h·
Discuss: DEV
🌊Stream Processing
Show HN: Go-respec – Generate OpenAPI specs from Go code, no annotations needed
github.com·1d·
Discuss: Hacker News
🔌Interface Evolution
Prompt Power-Up: Master AI Prompts for Seamless Code Migrations
dev.to·3d·
Discuss: DEV
🦋Format Metamorphosis
RAG Isn’t Enough. Context Engineering is how real AI gets built
dev.to·1d·
Discuss: DEV
🌀Brotli Internals
Percentile-Based Deep Reinforcement Learning and Reward Based Personalization For Delay Aware RAN Slicing in O-RAN
arxiv.org·1d
⧗Information Bottleneck