Radio dish on the move | Space photo of the day for Aug. 25, 2025
space.com·5h
⚙️Cassette Mechanics
I Think A FPS Needs Either Vehicles Or Doors To Be Good
forums.anandtech.com·14h
🕹️Retro Gaming
Earth Models Can Predict the Planet’s Future, But Not Their Own
undark.org·10h
🧊Arctic Storage
AI in cybersecurity operations
jwgoerlich.com·16m
🛡Cybersecurity
Selective Temporal Training
robinsloan.com·2d
🤖Grammar Induction
CL-JSON Ambiguity
funcall.blogspot.com·2d·
Discuss: www.blogger.com
🧠Lisp Dialects
Reddit - anyone do a diy photobooth?
reddit.com·1d·
Discuss: r/photobooth
⚙️DIY Electronics
High Levels of Toxic Metals Found in Popular Chocolate Brands
scitechdaily.com·6h·
Discuss: Hacker News
🔗Data Provenance
For the Singularity to Truly Arrive, We’d Need a Machine That Eats the Sun
popularmechanics.com·4h
🔲Cellular Automata
Dinosaurs
funcall.blogspot.com·3d·
Discuss: Hacker News
🏗️Compiler Archaeology
AI Agents: Why the Hype Feels Wrong to an Old Programmer
nimishg.substack.com·2d·
Discuss: Substack
⚡Proof Automation
DEPTH: Hallucination-Free Relation Extraction via Dependency-Aware Sentence Simplification and Two-tiered Hierarchical Refinement
arxiv.org·4d
🎯Dependent Parsing
Adaptability: The Superpower Developers Need in 2025
dev.to·13h·
Discuss: DEV
🔌Interface Evolution
Ryugu asteroid research reveals mineral history predating any on Earth
phys.org·18m
📡DNS Archaeology
ContextualLVLM-Agent: A Holistic Framework for Multi-Turn Visually-Grounded Dialogue and Complex Instruction Following
arxiv.org·3d
🌳Context free grammars
Structure-Aware Temporal Modeling for Chronic Disease Progression Prediction
arxiv.org·3d
🧠Machine Learning
Enhanced Oil-Impregnated Paper (OIL-PAP) Degradation Prediction via Multi-Modal Data Fusion & Deep Learning
dev.to·2d·
Discuss: DEV
🧠Machine Learning
Teach Your Free AI Chatbot with Reports & Web Data (RAG Basics)
dev.to·3d·
Discuss: DEV
📝Concrete Syntax
People keep suggesting features for StackDAG, and it’s growing faster than I expected
dev.to·2d·
Discuss: DEV
🖥️Terminal Renaissance
MoEcho: Exploiting Side-Channel Attacks to Compromise User Privacy in Mixture-of-Experts LLMs
arxiv.org·3d
💻Local LLMs