Show HN: YouTube Audio Player
y2audio.com·2d·
Discuss: Hacker News
🎛️interfaces
A Better Vocabulary for Testing
alperenkeles.com·11h·
Discuss: Lobsters, r/compsci, r/programming
🤖agents
State of torch.compile for training (August 2025)
blog.ezyang.com·3d·
Discuss: Hacker News
✨UI generation
Why Lean 4 replaced OCaml as my Primary Language
kirancodes.me·2d·
Discuss: Lobsters, Hacker News
✨UI generation
Need Feedback: Chat with Google Search Console
asktheconsole.com·2d·
Discuss: Hacker News
🧠AI
The Loeb Scale: Astronomical Classification of Interstellar Objects
arxiv.org·2d·
Discuss: Hacker News
🧠AI
Vibe Coding Awareness Month
hellotonic.com·3d·
Discuss: Hacker News
✨UI generation
original ↗
brooker.co.za·5d·
Discuss: Lobsters, Hacker News
🧠AI
LLM Hallucination Seems Like a Big Problem, Not a Mere Speedbump
freddiedeboer.substack.com·4d·
Discuss: Substack
🧠AI
Bistochastically private release of longitudinal data
arxiv.org·2d
🗃️databases
simonw/codespaces-llm
simonwillison.net·4d·
Discuss: Hacker News
✨UI generation
Word Clouds as Common Voices: LLM-Assisted Visualization of Participant-Weighted Themes in Qualitative Interviews
arxiv.org·5d
✨UI generation
A Framework for FAIR and CLEAR Ecological Data and Knowledge: Semantic Units for Synthesis and Causal Modelling
arxiv.org·4d
🕸️Knowledge Graphs
Age of Information Minimization in Goal-Oriented Communication with Processing and Cost of Actuation Error Constraints
arxiv.org·5d
🤝Multi-Agent Systems
Learning the Topic, Not the Language: How LLMs Classify Online Immigration Discourse Across Languages
arxiv.org·6d
✨UI generation
Testing the Limits of Machine Translation from One Book
arxiv.org·5d
✨UI generation
Model-Agnostic Sentiment Distribution Stability Analysis for Robust LLM-Generated Texts Detection
arxiv.org·5d
✨UI generation
Imaginative World Modeling with Scene Graphs for Embodied Agent Navigation
arxiv.org·5d
🎛️interfaces
DevNous: An LLM-Based Multi-Agent System for Grounding IT Project Management in Unstructured Conversation
arxiv.org·4d
✨UI generation
Sacred or Synthetic? Evaluating LLM Reliability and Abstention for Religious Questions
arxiv.org·4d
✨UI generation