# Сопутствующие статьи по теме Editing

Новостной центр HTX предлагает последние статьи и углубленный анализ по "Editing", охватывающие рыночные тренды, новости проектов, развитие технологий и политику регулирования в криптоиндустрии.

Wikipedia Implements New Editing Rules: Vote Passes, Strictly Prohibits Using AI to Generate or Rewrite Article Content

On March 26, Wikipedia officially passed a new policy through a community vote that explicitly prohibits users from directly using AI to generate or rewrite article content. This decision reinforces the platform's commitment to content accuracy and human editorial control. The updated policy strengthens previous guidelines by moving from a recommendation against generating articles from scratch to a strict ban on using large language models (LLMs) for content creation or rewriting. The policy was approved overwhelmingly by volunteer editors, with a vote of 40 to 2, reflecting deep concerns within the community about AI-generated misinformation and inaccuracies. While AI tools are still permitted for suggesting basic edits, they must not introduce any unverified content. All AI-assisted contributions must undergo human review to prevent factual errors or hallucinations. This move highlights Wikipedia’s effort to balance technological efficiency with content integrity amid the growing use of generative AI across digital platforms. By clearly distinguishing between AI-assisted editing and AI-generated content, Wikipedia aims to preserve human-driven knowledge curation and prevent trust issues caused by automated content production. The decision sets a significant precedent for ethical knowledge management in the age of artificial intelligence.

marsbit03/27 01:08

Wikipedia Implements New Editing Rules: Vote Passes, Strictly Prohibits Using AI to Generate or Rewrite Article Content

marsbit03/27 01:08

Brevis Vera is Now Live: Proving "Authenticity" in the Age of AI

Brevis Vera is an end-to-end media authenticity system that enables anyone to verify whether a published image or video originates from a real device and has been edited only in provable, compliant, and legitimate ways. It combines hardware-backed C2PA credentials—which cryptographically bind media to its source device at the time of capture—with zero-knowledge proofs (generated via Brevis Pico zkVM) that attest to the integrity of the entire editing process. Unlike AI-based deepfake detection methods, which are reactive and often lag behind generative advances, Vera takes a proactive approach by allowing media to cryptographically prove its origin and the transformations it has undergone. It addresses the "editing gap" where traditional signatures break after any modification, such as cropping or color adjustment. Vera integrates with open-source editing tools to generate proofs that verify three key claims: the output is derived from the signed original, only permitted edits were applied, and no hidden or malicious changes were introduced. The proofs are generated locally, verifiable by anyone, and preserve the privacy of both the source material and the editing workflow. The system is now live, with initial support for common image transformations. Brevis is working to integrate Vera into mainstream consumer editing applications and has open-sourced the reference implementation.

marsbit03/09 12:37

Brevis Vera is Now Live: Proving "Authenticity" in the Age of AI

marsbit03/09 12:37

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