OpenAI missed its goal to launch Media Manager, an opt-out tool for creators, by 2025; sources: the tool was rarely viewed as an important launch internally
Back in May, OpenAI said it was developing a tool to let creators specify how they want their works to be included in — or excluded from — its AI training data. Mastodon: @SuffolkLITLab@esq.social . Forums: Hacker News See also Mediagazer Mastodon: @SuffolkLITLab@esq.social : TL;DR: OpenAI has yet to deliver its promised Media Manager tool, which was supposed to allow creators to manage how their works are used in AI training, raising concerns over copyright compliance. https://techcrunch.com/... #law #tech #legaltech ⚖️ 🤖 #autosum Forums: Hacker News : OpenAI failed to deliver the opt-out tool it promised by 2025 See also Mediagazer
Context & Ripple Effects
OpenAI had publicly framed Media Manager as a way for content owners to identify works and set training-use preferences, with a release target by 2025. Its reported failure to ship that promised creator-controls tool turns a stated safeguard into an unresolved operational gap.
The delay lands after publishers had already moved toward self-help: coverage found many major US news outlets blocking AI crawlers. It also sits alongside OpenAI's earlier assertion that an opt-out existed in its response to the New York Times lawsuit.
First-order effects
- Creators and rightsholders lack the promised centralized mechanism for communicating training preferences to OpenAI, leaving the company's earlier commitment unfulfilled.
- OpenAI faces a credibility problem on creator controls, especially because sources say the tool was not treated internally as a priority launch.
Second-order effects
- Publishers and other content owners have greater incentive to rely on crawler blocks and bilateral restrictions rather than wait for a platform-managed opt-out; news publishers' crawler blocking becomes a more consequential fallback.
- The absence of a delivered control layer gives copyright critics more evidence that voluntary training-data safeguards may lag product and model development.
Third-order effects
- If major AI developers continue to treat rights-management tooling as secondary, training-data governance is likely to shift toward negotiated licensing, technical exclusion measures, and legal challenges rather than standardized opt-out systems.
- The key uncertainty is whether OpenAI ultimately delivers a usable tool: its design and adoption would determine whether it becomes meaningful infrastructure or merely a policy commitment.
The trend: Generative-AI companies are being pressed to translate broad creator-choice promises into enforceable, operational controls over training data.