Data-Center Limits Will Hurt AI Boom, Alberta First Nations Say
bloomberg.com·45m
🛡️Content Moderation
🔗 Livewire and Inertia: how we love and use both
yellowduck.be·2h
🚀Web Performance
‘M3GAN 2.0’ Review: The Demon-Doll Android Is Now the Heroine of a ‘Cautionary’ Sci-Fi Action Thriller That’s Bigger, Longer and Less Fun - Variety
news.google.com·23h
🆕New AI
AI Already Knows Us Too Well
nautil.us·5h
🛡️Content Moderation
Public Bet
el-yawd.github.io·22h·
Discuss: Hacker News
👨‍💻Solo Dev
Proposing a Framework for Distinguishing Software Engineering from Software Development
about.honsoncooky.dev·18h·
Discuss: r/SoftwareEngineering
🪄Prompt Engineering
A.I. Is Homogenizing Our Thoughts
newyorker.com·23h
🎭Claude
A Spatio-Temporal Point Process for Fine-Grained Modeling of Reading Behavior
arxiv.org·11h
🧠LLM Inference
SACL: Understanding and Combating Textual Bias in Code Retrieval with Semantic-Augmented Reranking and Localization
arxiv.org·11h
🔄LLM RAG Pipelines
A Visualization Framework for Exploring Multi-Agent-Based Simulations Case Study of an Electric Vehicle Home Charging Ecosystem
arxiv.org·11h
🌐Distributed systems
A Multi-Pass Large Language Model Framework for Precise and Efficient Radiology Report Error Detection
arxiv.org·11h
🛡️AI Safety
RepuNet: A Reputation System for Mitigating Malicious Clients in DFL
arxiv.org·11h
🛡️Content Moderation
CCRS: A Zero-Shot LLM-as-a-Judge Framework for Comprehensive RAG Evaluation
arxiv.org·11h
🏆LLM Benchmarking
Probing AI Safety with Source Code
arxiv.org·11h
🛡️AI Safety
RSS Server Side Reader
matklad.github.io·15h·
Discuss: Lobsters, Hacker News
📰RSS Reading Practices
Off-Policy Evaluation and Learning for the Future under Non-Stationarity
arxiv.org·11h
🏆LLM Benchmarking
Opportunistic Osteoporosis Diagnosis via Texture-Preserving Self-Supervision, Mixture of Experts and Multi-Task Integration
arxiv.org·11h
📊Embeddings
Challenging projects every programmer should try
austinhenley.com·32m·
Discuss: Hacker News
✏️Code Editors
Argumentative Ensembling for Robust Recourse under Model Multiplicity
arxiv.org·11h
🏆LLM Benchmarking
Client Clustering Meets Knowledge Sharing: Enhancing Privacy and Robustness in Personalized Peer-to-Peer Learning
arxiv.org·11h
🧭Content Discovery