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OpenAI trained the model using publicly available videos as well as copyrighted videos licensed for the purpose, but did not reveal the number or the exact source of the videos. [5] Upon its release, OpenAI acknowledged some of Sora's shortcomings, including its struggling to simulate complex physics, to understand causality , and to ...
The CLIP models released by OpenAI were trained on a dataset called "WebImageText" (WIT) containing 400 million pairs of images and their corresponding captions scraped from the internet. The total number of words in this dataset is similar in scale to the WebText dataset used for training GPT-2 , which contains about 40 gigabytes of text data.
Generative artificial intelligence (generative AI, GenAI, [1] or GAI) is a subset of artificial intelligence that uses generative models to produce text, images, videos, or other forms of data.
OpenAI's latest strange yet fascinating creation is DALL-E, which by way of hasty summary might be called "GPT-3 for images." What researchers created with GPT-3 was an AI that, given a prompt ...
Examples included a stop sign rendered invisible to computer vision; an audio clip engineered to sound innocuous to humans, but that software transcribed as "evil dot com"; and an image of two men on skis, that Google Cloud Vision identified as 91% likely to be "a dog". [18] However, these findings have been challenged by other researchers. [64]
EleutherAI (/ ə ˈ l uː θ ər / [2]) is a grass-roots non-profit artificial intelligence (AI) research group. The group, considered an open-source version of OpenAI, [3] was formed in a Discord server in July 2020 by Connor Leahy, Sid Black, and Leo Gao [4] to organize a replication of GPT-3.
Elon Musk is willing to yank his $97.4 billion bid for the nonprofit that oversees OpenAI if its directors agree to stop a for-profit transformation, escalating his long-running feud with OpenAI ...
OpenAI cited competitiveness and safety concerns to justify this strategic turn. OpenAI's former chief scientist Ilya Sutskever argued in 2023 that open-sourcing increasingly capable models was increasingly risky, and that the safety reasons for not open-sourcing the most potent AI models would become "obvious" in a few years. [302]