Research / AI Safety / Abuse Detection
Google Research paper describing a deployed multimodal defense system for detecting coordinated synthetic spam and abusive media at scale, using account relatedness, synthetic content classification, and LoRA-tuned LLMs.
The page is clearly about an AI-powered anti-abuse system, not a generic article. The abstract gives concrete technical details, including a deployed system, two ML components, LoRA and automatic prompt optimization, plus measured operational impact at scale. That is enough evidence for a useful public listing.
The crawl does not show a paper PDF, benchmarks, implementation details, or reproducible guidance. It is also hard to tell how much of the system is research-only versus available as a product or framework.
Last evaluated 54 days ago. Current rank #2007. Up 1 spot in the rankings.
Primus is an autonomous AI researcher that hypothesizes, reads papers, writes code, runs experiments on compute, and drafts research papers. The page shows example tasks, published-paper claims, waitlist access, and positioning for ML research workflows.
An interactive dashboard that analyzes New York Times coverage since 2000 using the NYT Archive API, with views for reporters, beats, sections, subjects, geography, obituaries, and corrections.
An open benchmark and leaderboard for AI CAD agents, with 308 prompts across 20 categories and layered scoring for geometry, engineering, manufacturability, and cognition.
A research article from Applied Compute on how agentic, tool-using workloads differ from traditional LLM benchmarks, with production observations, workload profiles, and an open-source harness for replaying traces.
