Meta Addresses AI Chatbot’s YouTube Training Data Assertion

Eventually, artificial intelligence systems like ChatGPT will run out of the tens of trillions of words people have been writing and sharing on the web, which keeps them smarter. In a new study released on Thursday by Epoch AI, researchers estimate that tech companies will exhaust the available training data for AI language models sometime between 2026 and 2032 if the industry is to be expected to use public training data in the future. 

It is more open than Meta that the Meta AI chatbot will share its training data with me. It is widely known that Meta, formerly known as Facebook, has been trying to move into the generative AI space since last year. The company was aiming to keep up with the public’s interest sparked by the launch of OpenAI’s ChatGPT in late 2022. In April of this year, Meta AI was expanded to include a chat and image generator feature on all its apps, including Instagram and WhatsApp. However, much information about how Meta AI was trained has not been released to date. 

A series of questions were asked by Business Insider of Meta AI regarding the data it was trained on and the method by which Meta obtained such data. In the interview with Business Insider, Meta AI revealed that it had been trained on a large dataset of transcriptions from YouTube videos, as reported by Business Insider. Furthermore, it said that Meta has its web scraper bot, referred to as “MSAE” (Meta Scraping and Extraction), which scrapes a huge amount of information off the web to use for the t

[…]
Content was cut in order to protect the source.Please visit the source for the rest of the article.