🤖 AI Summary
HackerNoon has launched a curated "Directory of the Internet’s Most Compelling Turing Tests" — a taxonomy-style catalog designed to collect and categorize Turing-style evaluations across classic and modern formats. The directory exposes rich metadata and filters (type: audio, visual, game, modern LLM, social; level: easy–hard/historical; platform: API/desktop/mobile/web/research paper; trust ratings A–C; access: open/free/paid/academic; creator: academic/corporate/individual/open source; year; format: multiple choice/conversation; input modalities: text/image/audio/video). The current listing shows no entries, suggesting the site is a launch framework awaiting submissions or aggregation.
For the AI/ML community this matters because it provides a structured, searchable way to compare evaluations across modalities, provenance and difficulty — beyond ad hoc or text-only Turing tests. By capturing platform, access and trust metadata, the directory can help researchers, benchmark authors and policymakers find reproducible tests, design adversarial or multimodal probes for modern LLMs, and trace the historical evolution of human-vs-machine evaluation. If populated and maintained, it could accelerate standardized, transparent evaluation practices, encourage multimodal robustness testing, and support more rigorous, auditable claims about machine “humanness.”
Loading comments...
login to comment
loading comments...
no comments yet