OpenAI Can’t Fix Sora’s Copyright Infringement Problem Because It Was Built With Stolen Content

404 MediaWednesday, November 12, 2025 at 3:44:46 PM
OpenAI Can’t Fix Sora’s Copyright Infringement Problem Because It Was Built With Stolen Content
The recent revelation regarding Sora's copyright infringement problem underscores a critical issue within the AI landscape. Built with stolen content, Sora exemplifies the vulnerabilities in OpenAI's guardrails designed to prevent copyright violations. Despite the company's efforts to implement safeguards, this incident suggests that their measures may be inadequate against the oldest tricks in the book. As AI technologies continue to evolve, the implications of such copyright issues become increasingly significant, prompting a broader discussion about the ethical and legal frameworks governing AI-generated content. This situation not only affects OpenAI but also raises questions about the future of copyright protections in an era where content creation is rapidly changing.
— via World Pulse Now AI Editorial System

Was this article worth reading? Share it

Recommended Readings
I Let an LLM Write JavaScript Inside My AI Runtime. Here’s What Happened
PositiveArtificial Intelligence
The article discusses an experiment where an AI model was allowed to write JavaScript code within a self-hosted runtime called Contenox. The author reflects on a concept regarding tool usage in AI, suggesting that models should generate code to utilize tools instead of direct calls. This approach was tested by executing the generated JavaScript within the Contenox environment, aiming to enhance the efficiency of AI workflows.
Sector HQ Weekly Digest - November 17, 2025
NeutralArtificial Intelligence
The Sector HQ Weekly Digest for November 17, 2025, highlights the latest developments in the AI industry, focusing on the performance of top companies. OpenAI leads with a score of 442385.7 and 343 events, followed by Anthropic and Amazon. The report also notes significant movements, with Sony jumping 277 positions in the rankings, reflecting the dynamic nature of the AI sector.
Do AI Voices Learn Social Nuances? A Case of Politeness and Speech Rate
PositiveArtificial Intelligence
A recent study published on arXiv investigates whether advanced text-to-speech systems can learn social nuances, specifically the human tendency to slow speech for politeness. Researchers tested 22 synthetic voices from AI Studio and OpenAI under polite and casual conditions, finding that the polite prompts resulted in significantly slower speech across both platforms. This suggests that AI can internalize and replicate subtle psychological cues in human communication.
Building RSSRenaissance: AI-Powered Summaries for Smarter Reading
PositiveArtificial Intelligence
Building RSSRenaissance aims to create a tool that helps users stay informed without being overwhelmed by excessive articles. The platform fetches RSS feeds from various sources like TechCrunch and The Verge, processes them using a PostgreSQL database, and employs AI to generate instant summaries. This allows users to quickly grasp key points from the content.
Como MCP + Amazon Q Estão Revolucionando a Automação DevOps com Agentes Inteligentes
PositiveArtificial Intelligence
In recent years, DevOps process automation has evolved beyond traditional scripts, pipelines, and IaC tools. With advancements in generative models and the integration of intelligent agents with development tools, we are entering a new era: DevOps powered by Autonomous Agents. Central to this transformation is the MCP — Model Context Protocol, along with platforms like Amazon Q Developer and Amazon Q Apps, which can create agents that connect directly to tool ecosystems, understand context, and execute actions. This article demonstrates how to combine MCP and Amazon Q to create a specialized DevOps Agent capable of automating repetitive tasks, generating IaC, updating pipelines, analyzing infrastructure issues, and orchestrating deployments.
Leaked finances hint that OpenAI's inference may be swallowing its revenue
NegativeArtificial Intelligence
Recent internal documents reveal significant financial details about OpenAI's operations, indicating that the costs associated with running its models are substantial. Reports from Techcrunch and blogger Ed Zitron suggest that OpenAI's profitability remains elusive, as the financial burden may be overwhelming its revenue generation capabilities.