OpenAI seems to release new models, new features, and new ideas on a whim As a result, any hint of a new product is met with intense speculation on social media

The latest page to catch the attention of Internet detectives is the OpenAI login page, "Feather," which some users speculate is the secret login for the next-generation GPT-5 model

In reality, it is more mundane, and is most likely a login page for OpenAI researchers to label their datasets, or a new platform for companies to build OpenAI models

One big aspiration among the most hardcore OpenAI fans is the arrival of GPT-5, which many speculate will bring the long-awaited superintelligence

OpenAI denies this, and CEO Sam Altman regularly states that artificial intelligence (AGI), in which AI performs human-like reasoning, will be less obvious than expected

For the most part, he is merely excited by the prospect of new OpenAI products This is driven by the hype surrounding the impressive AI video model "Sora," which was released earlier this month

There are no specific details from OpenAI about what Feather is, beyond a trademark application first filed last year for data labeling and annotation services

According to the US PTO application, Feather's trademark includes permission for data processing and systematization services using automated labeling and annotation of electronic data in image, audio, video, text, and other formats

This confirms indications from some users on X that Feather is being used by third-party contractors to label data objects to facilitate the training of new AI models

Having a platform that allows those responsible for training new AI models to easily create data to be used for training is a significant time saver Since this process is labor intensive, automating and simplifying much of the process will help train models more quickly

This may not be GPT-5, but being able to more efficiently label images, video, text, and code would greatly hasten the arrival of GPT-5 and other models in the future

There may also be a use case for marking videos and images used to train models such as Sora to ensure that they are not outputting illegal content or violating privacy or copyright rules