Earth
chicagofilmsociety.org·4h
🎭Cinema Acoustics
NASA or the Space Force: Who should protect Earth from dangerous asteroids?
space.com·2h
🏺Kerberos Archaeology
'Call of Duty' Maker Goes To War With 'Parasitic' Cheat Developers in LA Federal Court
games.slashdot.org·24m
🦠Parasitic Storage
Do not yell at the language model
seangoedecke.com·1d
⚡Proof Automation
Raku: First Programming Language?
wayland.github.io·2d·
Discuss: Hacker News
💻programming languages
What Is a Terminal?
wezterm.org·1d·
Discuss: Hacker News
📟Terminals
"Bring Your Whole Self" – Unless You Have a Toddler
royapakzad.substack.com·16h·
Discuss: Substack
🏛Digital humanities
Dollar Driven
justingarrison.com·1d·
Discuss: Hacker News
📰Content Curation
What "Parse, don't validate" means in Python?
bitecode.dev·2d·
Discuss: r/programming
✅Format Verification
Your Money, Their Syntax: How LLMs Write Trust into Empty Crypto Promises
dev.to·2h·
Discuss: DEV
📋Document Grammar
A Local Market Engine Fueled by Python, Automation, and SEO Chaos
dev.to·1d·
Discuss: DEV
🔍BitFunnel
Actively evaluating and learning the distinctions that matter: Vaccine safety signal detection from emergency triage notes
arxiv.org·11h
🗺️Competency Maps
Reasoning about Rare-Event Reachability in Stochastic Vector Addition Systems via Affine Vector Spaces
arxiv.org·1d
🎯Performance Proofs
One arrested as US Marshals pursue suspects near Head Royce School in Oakland
mercurynews.com·14h
🚨Incident Response
AI Pair Programming Magic: Building an Advanced Blog System in One Session (And Why I Chose Complexity Over Simplicity)
dev.to·4h·
Discuss: DEV
👑Isabelle
I built a Go-powered search engine with LLM summarization (GoFiber + Svelte)
reddit.com·1d·
Discuss: r/golang
🔍BitFunnel
New York to make phone calls free in its state prisons
the-independent.com·2d
🔤Morris-Pratt
Digital Twin Technologies in Predictive Maintenance: Enabling Transferability via Sim-to-Real and Real-to-Sim Transfer
arxiv.org·11h
🔄Lens Laws
France Will Recognize Palestinian Statehood
nytimes.com·17h
📡RSS
Hierarchical Dimensionless Learning (Hi-{\pi}): A physics-data hybrid-driven approach for discovering dimensionless parameter combinations
arxiv.org·11h
🧠Machine Learning