Back to list
Industry NewsAICommunityGuidelines

Hacker News Updates Guidelines: Prohibits AI-Generated or Edited Comments to Foster Human Conversation

Hacker News has updated its guidelines to explicitly prohibit the posting of comments that are generated or edited by artificial intelligence. The platform emphasizes that its purpose is to facilitate conversation between humans, indicating a move to preserve the authenticity and human element of its discussion forums. This change, effective March 11, 2026, reflects a clear stance against the use of AI in user contributions to maintain the integrity of human-to-human interaction on the site.

Hacker News

Hacker News has implemented a significant update to its community guidelines, specifically addressing the use of artificial intelligence in user-submitted content. The platform now explicitly states, 'Don't post generated/AI-edited comments. HN is for conversation between humans.' This directive, published on March 11, 2026, underscores Hacker News's commitment to maintaining a forum dedicated to authentic human interaction and discussion. By prohibiting AI-generated or AI-edited comments, Hacker News aims to ensure that all contributions reflect genuine human thought, opinion, and engagement. This policy change is designed to preserve the core value of the platform as a space for meaningful dialogue among its human users, distinguishing it from forums that might allow or encourage AI-assisted content creation.

Related News

Researchers Grow Weary as OpenAI Gatekeeps Breakthroughs in Mathematics, Physics, and Computer Science
Industry News

Researchers Grow Weary as OpenAI Gatekeeps Breakthroughs in Mathematics, Physics, and Computer Science

Academic researchers are voicing growing frustration with OpenAI's handling and selective disclosure of scientific breakthroughs across mathematics, computer science, and physics. Despite OpenAI introducing an evolving communication framework using designated expert 'shepherds' to manage results, the scientific community remains skeptical of the lab's practices. Critics point to months of turbulent relations marked by massive preprint dumps of raw AI outputs while the underlying frontier models remain proprietary and inaccessible. While initial findings—such as claimed solutions to the Kakeya conjecture and refutations of the Exponential Time Hypothesis—have drawn substantial interest, researchers caution that outsourcing interpretation to the community without model access burdens scientific verification and departs from the transparency principles fundamental to academic research.

Marvel's VisionQuest Explores Rogue Artificial Intelligence Through Fantastical Digital Daydreams and Real-World Generative Tech Themes
Industry News

Marvel's VisionQuest Explores Rogue Artificial Intelligence Through Fantastical Digital Daydreams and Real-World Generative Tech Themes

Marvel's upcoming series VisionQuest centers on a superpowered robot attempting to better understand human existence by immersing himself in complex, simulated daydreams where synthetic beings cohabitate. Authored by Charles Pulliam-Moore for The Verge, the analysis highlights how the series blends speculative storytelling with contemporary societal debates over generative artificial intelligence. While inherently fantastical, the narrative constructs a poignant mirror to modern discussions surrounding artificial agency, machine cognition, and digital socialization. By depicting synthetic entities attempting to navigate simulated domestic life and human connection, the production reflects the cultural anxieties and fascination with autonomous machine behavior. This breakdown examines the core premise, its thematic resonance with modern generative systems, and the conceptual dialogue between science fiction and evolving artificial intelligence paradigms.

Anthropic's Strategic Approach to Balancing Public Markets and AI Safety Goals Ahead of IPO
Industry News

Anthropic's Strategic Approach to Balancing Public Markets and AI Safety Goals Ahead of IPO

Anthropic is preparing for an impending initial public offering (IPO) while attempting to maintain its core mission of developing artificial intelligence safely and for the benefit of humanity. As the company looks to tap into the public markets for vast financial resources, it faces the complex challenge of balancing shareholder expectations for financial returns against growing safety risks associated with advanced model capabilities. This in-depth analysis explores Anthropic's strategy to navigate public market pressures without compromising its founding safety principles.