🔍 AI Detection

Generated Content, Paper Analysis, Academic Integrity, Pattern Recognition

It Turns Out That Google's AI Is Being Trained by an Army of Poorly Treated Human Grunts
futurism.com·12h
🤖AI
Docling: The Document Alchemist
towardsdatascience.com·11h
📓Jupyter
Automate advanced agentic RAG pipeline with Amazon SageMaker AI
aws.amazon.com·10h
📊Data Lineage
Personality-Enhanced Social Recommendations in SAMI: Exploring the Role of Personality Detection in Matchmaking
arxiv.org·23h
🧭Behavioral Bioinformatics
How to Evaluate ROI on AI Tools Before You Buy
softwarepricing.com·3h·
Discuss: DEV
🎮Reinforcement Learning
Astrophysics Source Code Library
ascl.net·16h·
Discuss: Hacker News
🗂️HDF5
AI-generated Medical Data Can Sidestep Usual Ethics Review, Universities Say
slashdot.org·11h
🧭Behavioral Bioinformatics
Show HN: Free AI Business Name Generator and Domain Avalibility
namegator.lovable.app·11h·
Discuss: Hacker News
🤖AI
Clever Hans Couldn't Do Arithmetic, and LLMs Don't Understand
codemanship.wordpress.com·15h·
Discuss: Hacker News
🧭Behavioral Bioinformatics
Do Startups Dream of Electric Robots
partenit.io·16h·
Discuss: Hacker News
🚀Spacecraft Navigation
The Trellis: A Gardening Metaphor for Software Engineering
sinclairtarget.com·15h·
Discuss: Hacker News
📋Tokei
The Invisible Character That Cost Me Too Much Debugging Time
blog.dochia.dev·16h·
Discuss: r/programming
🏗data engineering
Compass-v3: Scaling Domain-Specific LLMs for Multilingual E-Commerce in Southeast Asia
arxiv.org·23h
⚙️Query Compilers
Build an AI Second Brain Using Claude Code & Obsidian : The Future of Thinking
geeky-gadgets.com·8h
🤖AI
Why I Consider DeepL a Project That Matters Despite the AI Bubble
dev.to·9h·
Discuss: DEV
🤖AI
MetaLLMix : An XAI Aided LLM-Meta-learning Based Approach for Hyper-parameters Optimization
arxiv.org·23h
🤖AI
Choosing Rust for LLM-generated code
runmat.org·9h·
Discuss: Hacker News
🦀Rust Scientific
Automated Predictive Biomarker Discovery via Multi-Modal Integration and HyperScore Validation
dev.to·55m·
Discuss: DEV
🕰️Biological Timing
How I Used Maybe AI to Understand the Kaito Leaderboard in 30 Minutes
dev.to·17h·
Discuss: DEV
🔄Feed Aggregation
Lessons & Practices for Building and Optimizing Multi-Agent RAG Systems with DSPy and GEPA
dev.to·21h·
Discuss: DEV
🏗data engineering