Neo Genesis publishes its own press releases. Each release maps to a real, externally-verifiable artifact (HuggingFace dataset, Wikidata entity, GitHub PR merge, NeurIPS submission). No manufactured prestige. No paid wire distribution at this time.

Press Release

Neo Genesis Open-Sources Its Repository and Releases Eight HuggingFace Datasets

Neo Genesis transitioned its primary monorepo to public on 2026-05-04 and published 8 open-access datasets on HuggingFace covering Korean RAG evaluation, multi-agent reinforcement learning, causal inference, agent collaboration patterns, and quant trading specifications.

Press Release

Neo Genesis Datasets Accepted Into Five Curated Awesome-Lists with Approximately 60K Combined Audience

Five pull requests adding Neo Genesis HuggingFace datasets to curated awesome-lists were merged or opened on 2026-05-01, with combined repository star count of approximately 60,000 across Awesome-LLM, Awesome-NLP, Awesome-LLM-Resources, Awesome-AI-Agents, and Awesome-Production-ML.

Press Release

Neo Genesis Establishes 13-Entity Wikidata Knowledge Graph with 395 Statements

Neo Genesis registered a 13-entity Wikidata knowledge graph (parent organization, founder, 11 business units) totaling 395 structured statements, providing AI assistants and search engines with a verified entity-relationship baseline.

Press Release

Three Interactive HuggingFace Spaces for Korean RAG, Cross-Agent Review, and Wikidata Knowledge Graph Exploration

Neo Genesis launched three interactive HuggingFace Spaces on 2026-04-27, providing Gradio-based browsing, search, and analysis interfaces for the Korean RAG SSOT Golden 50 dataset, Cross-Agent Review Queue, and 13-entity Wikidata knowledge graph.

Press Release

Neo Genesis Submits Two Papers to NeurIPS 2026: EthicaAI Melting Pot Mixed-Safe and WhyLab Gemini 2.5 Docker Validation

Neo Genesis submitted two research papers to NeurIPS 2026 on 2026-04-15: EthicaAI testing Sen's rationality theory across 510 Melting Pot evidence rows, and WhyLab validating Gemini 2.5 on 67 SWE-bench problems × 402 Docker ground-truth episodes.