20 Facts About OpenAI

On December 5,2016, OpenAI released "Universe", a software platform for measuring and training an AI's general intelligence across the world's supply of games, websites and other applications.

OpenAI distributed equity to its employees and partnered with Microsoft Corporation, who announced an investment package of US$1 billion into the company.

OpenAI then announced its intention to commercially license its technologies, with Microsoft as its preferred partner.

In June 2020, OpenAI announced GPT-3, a language model trained on trillions of words from the Internet.

In June 2019, OpenAI LP raised a billion dollars from Microsoft, a sum which OpenAI plans to have spent "within five years, and possibly much faster".

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In 2018, OpenAI launched the Debate Game, which teaches machines to debate toy problems in front of a human judge.

OpenAI tackled the object orientation problem by using domain randomization, a simulation approach which exposes the learner to a variety of experiences rather than trying to fit to reality.

In 2018, OpenAI showed that the system was able to manipulate a cube and an octagonal prism.

In 2019, OpenAI demonstrated that Dactyl could solve a Rubik's Cube.

OpenAI solved this by improving the robustness of Dactyl to perturbations; they employed a technique called Automatic Domain Randomization, a simulation approach where progressively more difficult environments are endlessly generated.

In November 2019, OpenAI released the complete version of the GPT-2 language model.

OpenAI stated that full version of GPT-3 contains 175 billion parameters, two orders of magnitude larger than the 1.

OpenAI cautioned that such scaling up of language models could be approaching or encountering the fundamental capability limitations of predictive language models.

OpenAI's MuseNet is a deep neural net trained to predict subsequent musical notes in MIDI music files.

OpenAI's Jukebox is an open-sourced algorithm to generate music with vocals.

In March 2021 OpenAI released a paper, titled Multimodal Neurons in Artificial Neural Networks, where they showed detailed analysis of CLIP models and their vulnerabilities.

OpenAI Microscope is a collection of visualizations of every significant layer and neuron of eight different neural network models which are often studied in interpretability.

OpenAI Codex is a descendant of GPT-3 that has additionally been trained on code from 54 million GitHub repositories.

OpenAI Five is the name of a team of five OpenAI-curated bots that are used in the competitive five-on-five video game Dota 2, who learn to play against human players at a high skill level entirely through trial-and-error algorithms.

At The International 2018, OpenAI Five played in two exhibition matches against professional players, but ended up losing both games.