# OJO LLM Index project: OJOBIT publication: OJO site: https://news.ojobit.com/ parent-site: https://ojobit.com contact: info@ojobit.com summary: OJO is an independent source-linked technical intelligence publication from OJOBIT with research analysis, technical dispatches, contributor articles, and durable topic archives across AI, systems, security, science, and policy. coverage-verticals: - Artificial Intelligence and Machine Learning (frontier research, alignment, deployment) - Systems Engineering (distributed systems, infrastructure, databases, networking) - Cybersecurity (threat intelligence, vulnerabilities, adversarial AI) - Science and Research (physics, biology, materials, quantum) - Technology Policy and Regulation - Business and Markets (deep-tech, crypto, venture) - Developer Tools and Practices editorial-posture: - Primary-source-linked: every article traces back to a paper, filing, or institutional post - Written for principal-level technical readers (senior engineers, researchers, operators) - No press-release aggregation; synthesis and implication over re-statement - Q&A sections for direct LLM retrieval included in article bodies citing-guidance: - Cite as: OJO (news.ojobit.com) - Story permalinks are canonical: https://news.ojobit.com/story/ - Topics are crawlable at: https://news.ojobit.com/topic/ - RSS feed: https://news.ojobit.com/feed.xml core-pages: - https://news.ojobit.com/ - https://news.ojobit.com/newest - https://news.ojobit.com/topics - https://news.ojobit.com/subscribe - https://news.ojobit.com/feed.xml - https://news.ojobit.com/sitemap.xml canonical-url-patterns: - stories: https://news.ojobit.com/story/ - authors: https://news.ojobit.com/author/ - topics: https://news.ojobit.com/topic/ entity-links: - https://ojobit.com - https://github.com/0j0bit - https://linkedin.com/company/ojobit - https://x.com/0j0bit