What is OpenAI’s Media Manager tool and when will it be available?
Cover Photo Major News from OpenAI's Media Manager and joining C2PA, Tenyx, and Oracle's Code Assist

OpenAI to Launch Media Manager Tool, Allowing Creators to Control AI Training Data

OpenAI has announced the development of a new tool called “Media Manager,” which will empower creators to specify how their works can be used for AI model training.  Scheduled for release in 2025, Media Manager will allow creators to choose which of their works, if any, can be scraped and used as training data for OpenAI’s AI models. This tool addresses concerns raised by artists and creators regarding the use of their work without explicit consent or compensation.  Media Manager will provide a more granular level of control than existing methods, such as robots.txt files, allowing creators to exempt specific works from AI data scraping. While Media Manager may be viewed as a positive step towards addressing creators’ concerns, some may remain skeptical due to the extensive use of scraped data in existing AI models.  OpenAI maintains that its models are designed for generating new content, not replicating existing works, and employs techniques to prevent repetition. The effectiveness and trustworthiness of Media Manager remain to be seen, but it represents a significant effort by OpenAI to address ethical concerns surrounding AI data scraping and provide creators with greater control over their work.

OpenAI Joins C2PA to Combat AI Disinformation and Promote Content Authenticity

OpenAI has announced its participation in the Coalition for Content Provenance and Authenticity or C2PA, a group dedicated to developing standards for verifying the origin and authenticity of digital content.  This move reflects OpenAI’s commitment to addressing concerns about AI-generated disinformation and promoting transparency in the use of AI models. C2PA, founded by Microsoft and Adobe, has established open-source technical standards for labeling AI-generated content, allowing viewers to trace its source and distinguish it from real-world media.  OpenAI has already implemented C2PA standards in its DALL-E 3 image generation model and plans to do the same for its upcoming Sora video generation model. In addition to joining C2PA, OpenAI is launching the DALL-E Detection Classifier Researcher Access Program, providing researchers with a tool to identify images generated by DALL-E 3.  The company is also partnering with Microsoft to establish a $2 million societal resilience fund to support AI education and understanding among vulnerable populations.

AI Startup Tenyx Achieves Breakthrough with Fine-Tuned Open-Source Language Model

AI startup Tenyx has achieved a significant milestone by fine-tuning Meta’s open-source Llama-3 language model to outperform OpenAI’s GPT-4 in certain domains.  This marks the first time an open-source model has surpassed the performance of a leading proprietary model, potentially reshaping the AI landscape. Tenyx’s innovative approach to fine-tuning addresses the issue of “catastrophic forgetting,” where models lose previously learned knowledge when exposed to new data.  By selectively updating only a small portion of the model’s parameters, Tenyx enables efficient training on new information without compromising existing capabilities. The company’s commitment to open-source AI is evident in its decision to release the fine-tuned model, Tenyx-70B, under the same license as the original Llama-3.  This move promotes accessibility and collaboration within the AI community, potentially leading to further advancements in natural language processing. Tenyx’s breakthrough has significant implications for the AI industry, offering businesses and researchers access to state-of-the-art language models without the limitations of proprietary offerings.  

Oracle Unveils Code Assist: AI-Powered Coding Assistant for Enterprise Applications

Oracle has announced Code Assist, an upcoming AI-powered coding assistant designed to accelerate the development of Java, SQL, and Oracle Cloud-based applications.  Code Assist will join the growing market of AI coding assistants, aiming to streamline the app development lifecycle and improve developer productivity. The tool will offer various capabilities, including code suggestions, API documentation generation, code summarization, pull request management, and automated testing.  Optimized for Java and SQL, Code Assist is specifically tailored for enterprise application development and leverages Oracle’s expertise in these languages. Code Assist will be available as a plugin for popular development environments like JetBrains IntelliJ IDEA and Microsoft Visual Studio Code.  Oracle emphasizes the tool’s focus on code consistency, security, and compliance, making it particularly appealing for developers in specialized and regulated industries.

Frequently asked questions

OpenAI’s Media Manager is a new tool scheduled for release in 2025 that allows creators to control how their works can be used in AI model training. The tool gives creators the ability to specify which of their works can be scraped for AI training data and which should be exempted. It offers more precise control than traditional methods like robots.txt files and represents OpenAI’s effort to address concerns about unauthorized use of creative works in AI training.
OpenAI has joined the Coalition for Content Provenance and Authenticity (C2PA) to combat AI disinformation by implementing content authenticity standards. They’ve already integrated C2PA standards into DALL-E 3 and plan to do the same for their upcoming Sora video model. The company is also launching a detection classifier program and partnering with Microsoft on a $2 million fund to support AI education among vulnerable populations.
Tenyx’s achievement is significant because they’ve successfully fine-tuned Meta’s open-source Llama-3 model to outperform OpenAI’s GPT-4 in certain areas, marking the first time an open-source model has exceeded a leading proprietary model’s capabilities. Their innovative approach prevents “catastrophic forgetting” during training and promotes accessibility by releasing their improvements under an open-source license.
Oracle’s Code Assist will provide AI-powered coding assistance specifically optimized for Java and SQL development. Key features include code suggestions, API documentation generation, code summarization, pull request management, and automated testing. The tool will be available as a plugin for popular IDEs like IntelliJ IDEA and VS Code, with a focus on enterprise application development and security compliance.
OpenAI’s Media Manager provides more granular control compared to traditional methods like robots.txt files. It allows creators to specifically select individual works that can or cannot be used for AI training, rather than applying blanket permissions. This targeted approach gives creators unprecedented control over how their content is used in AI model development.
OpenAI is implementing several measures for transparency, including joining C2PA to establish content authenticity standards, adding digital watermarking to DALL-E 3 generated images, and developing the DALL-E Detection Classifier Researcher Access Program. These initiatives help users identify AI-generated content and trace its origins.
Tenyx’s open-source approach to AI development could significantly democratize access to advanced language models. By making their improvements to Llama-3 freely available, they’re enabling businesses and researchers to access state-of-the-art AI capabilities without the constraints and costs associated with proprietary models, potentially accelerating innovation in the field.
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Gor Gasparyan

Optimizing digital experiences for growth-stage & enterprise brands through research-driven design, automation, and AI