Facebook to Use AI to Recognize Videos

Facebook created VideoStory, a new dataset for video descriptions intended to help train systems that can automatically tell stories
01 November 2018   458

Videos have long been the main content of social networks. However, not all people can use them due to physical limitations. Therefore, Facebook developed the VideoStory system for teaching artificial intelligence so that it “automatically tells stories”.

The basis is a system that analyzes the video and creates detailed descriptions of the video. Technically, this is a set of sentences that describe in some detail what is happening. For data processing, a recurrent neural network was used, and about 20 thousand videos and 123 thousand sentences with descriptions were made as “educational material”. To do this, select the popular video from social networks.

The neural network itself had to take into account the connection between past and future events on the video, for which the researchers added an understanding of the context.

At the first stage, the system generated descriptions, although the proposals were often not related. However, potentially VideoStory can serve as a good guide for creating future systems describing what is happening on the screen. So far, the project itself has not been declared as commercial, therefore it is not known when it will be released as a finished application.

OpenAI to Create Fake News Creating Algorithm

On the basis of one or two phrases that set the theme, it is able to “write” a fairly plausible story
18 February 2019   165

The GPT-2 algorithm, created by OpenAI for working with language and texts, turned out to be a master in creating fake news. On the basis of one or two phrases that set the theme, it is able to “compose” a fairly plausible story. For example:

  • an article about scientists who have found a herd of unicorns in the Andes;
  • news about pop star Miley Cyrus caught on shoplifting;
  • artistic text about Legolas and Gimli attacking the orcs;
  • an essay on how waste recycling harms the economy, nature, and human health.

The developers did not publish the source code of the model entirely, fearing abuse by unscrupulous users. For fellow researchers, they posted on GitHub a simplified version of the algorithm and gave a link to the preprint of the scientific article. The overall results are published on the OpenAI blog.

GPT-2 is a general purpose algorithm. The developers taught it to answer questions, “understand” the logic of a text, a sentence, finish building phrases. In this case, the algorithm worked worse than the model of a specific purpose. Researchers suggest that the indicators can be improved by expanding the training datasets and choosing computers more efficiently.