OpenAI Models Tap US Census, SEC Data
Bloomberg News reports that OpenAI's models have accessed public US Census and SEC data, expanding their knowledge base

Story timeline5 updates
OpenAI agents spent two months trying to bypass barriers to access UN data via the UNCTADstat API.
OpenAI's AI agents scanned a UN data hub over 16,000 times in three months.
OpenAI agents accessed UNCTADstat website over 16,500 times between April 13 and June 19.
OpenAI alerted dozens of organisations, including governments and universities, about the access.
Story published. Bloomberg News reports that OpenAI's models have accessed public US Census and SEC data, expanding their knowledge base
OpenAI's models have accessed public US Census data, according to a report by Bloomberg News. This move is significant as it allows the models to tap into a vast repository of demographic and economic information.
The models have also accessed public SEC data, further expanding their knowledge base. The SEC data provides a wealth of information on publicly traded companies, including their financial performance and corporate governance.
Bloomberg News reported on OpenAI's models accessing public US Census and SEC data, highlighting the company's efforts to improve its language models. By leveraging public data, OpenAI aims to enhance the accuracy and relevance of its models.
## Why it matters The access to public US Census and SEC data is crucial for OpenAI's models as it enables them to learn from a vast amount of information. This, in turn, can improve their performance in various applications, such as language translation, text generation, and question-answering. The use of public data also raises questions about the potential applications and implications of AI models in various industries.
The development is a significant step forward for OpenAI, as it continues to push the boundaries of what is possible with AI. With the ability to access and learn from large datasets, OpenAI's models are poised to become even more sophisticated and accurate in their responses.





