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Twitter uses visual identity signals like labels and badges on account profiles to help distinguish between various account types and to give more context about them. While some of these labels are generated by Twitter, others are the result of user activity. Here is a list of the labels and badges that are frequently seen on account profiles. Applied Profile labels by Twitter Checkmark in Blue The blue checkmark can indicate one of two things: either that a user's account has been verified according to Twitter's previous verification standards (active, notable, and authentic), or that the user has an active subscription to Twitter Blue, the company's new subscription service that launched on iOS on November 9, 2022. The active, notable, and authentic criteria that were applied in the previous process will not be reviewed for accounts that receive the blue checkmark as part of a Twitter Blue subscription. Here is more information about the blue checkmark. Gold Checkmark The...
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Introducing the PyTorch Foundation to Hasten AI Research Progress

Open collaboration has been crucial to the success of the PyTorch framework for AI research ever since we collaborated with the AI community to develop it in 2016. PyTorch is one of the top platforms for study and creation in the AI community, with thousands of contributors who have created more than 150,000 projects on it.

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PyTorch Foundation


Mark Zuckerberg said today that the project will move to the recently established PyTorch Foundation, a nonprofit organisation that will be a part of the Linux Foundation, a technological consortium whose primary goal is the cooperative creation of open-source software.

The establishment of the PyTorch Foundation guarantees that decisions will be taken for many years to come by a diverse group of board members in an open and transparent manner. Representatives from AMD, Amazon Web Services, Google Cloud, Meta, Microsoft Azure, and Nvidia will make up the governing council, which is expected to grow over time.

Our Commitment to AI Research Driven by the Community

The open-source, community-first ethos on which PyTorch was founded will not alter as a result of the move to the Foundation. People from all over the world can share their work, benefit from one another's innovations, and then give back to the AI community when researchers and developers open-source their code.

The strong governance, varied leadership, and increased investments made by the new PyTorch Foundation partners will benefit the framework's contributors going forward. The Foundation will make an effort to uphold the following four principles: developing a strong technological identity, remaining fair, preserving neutral branding, and remaining open. Maintaining a distinct division between PyTorch's corporate and technical governance will be one of its top responsibilities.

We at Meta will keep funding PyTorch and using it as the main basis for our AI research and development. No modifications to PyTorch's code, core project, or developer operating models will result from the transfer itself.

By dedicating hundreds of developers to the framework and fostering product development and community engagement, we have constantly sought to foster the community-driven growth that has propelled PyTorch's success.

Our work in AI is centred on open science, whether it is through the publication of source code for sophisticated new datasets, self-supervised computer vision systems, big language models, embodied AI platforms, and much more. This strategy, in our opinion, offers the quickest advancement in creating and implementing new systems that will cater to practical requirements and respond to fundamental inquiries concerning the origins of intelligence. The PyTorch Foundation has put the entire AI community in a position to advance the field in a variety of fascinating new directions.

Source: Facebook Newsroom


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