OpenAI
OpenAI

Seven Trillion Dollars and a World Divided: Should AI or FinTech Win the Investment Race?

On the one hand, OpenAI’s proposed investment is audacious, promising a leap into the unknown. ChatGPT, its flagship language model, currently reaches 2 billion users, a glimpse into the potential scale of OpenAI’s impact. However, with such scale come…

Exploring the Fusion of Artificial Intelligence and Its Impact on Industries

Technologies like Large Language Models (LLMs), including ChatGPT, Gemini, and GitHub Copilot, are poised to fundamentally alter how we interact with machines and reshape entire industries. In this blog post you and I will delve into the exhilarating a…

The International 2018: Results

OpenAI Five lost two games against top Dota 2 players at The International in Vancouver this week, maintaining a good chance of winning for the first 20-35 minutes of both games. In contrast to our Benchmark 17 days ago, these games:

  • Were played against significantly better human players
  • Used hero

OpenAI Five Benchmark

We’ve removed the most significant restrictions on OpenAI Five’s gameplay — namely, wards, Roshan, and mirror match of fixed heroes, and will soon benchmark our progress by playing top 99.95th-percentile Dota players.

OpenAI Charter

We’re releasing a charter that describes the principles we use to execute on OpenAI’s mission. This document reflects the strategy we’ve refined over the past two years, including feedback from many people internal and external to OpenAI. The timeline to AGI remains uncertain, but our charter will guide us in

OpenAI Supporters

We’re excited to welcome the following new donors to OpenAI: Jed McCaleb, Gabe Newell, Michael Seibel, Jaan Tallinn, and Ashton Eaton and Brianne Theisen-Eaton. Reid Hoffman is significantly increasing his contribution. Pieter Abbeel (having completed his sabbatical with us), Julia Galef, and Maran Nelson are becoming advisors to OpenAI. Additionally,

More on Dota 2

Our Dota 2 result shows that self-play can catapult the performance of machine learning systems from far below human level to superhuman, given sufficient compute. In the span of a month, our system went from barely matching a high-ranked player to beating the top pros and has continued to improve

More on Dota 2

Our Dota 2 result shows that self-play can catapult the performance of machine learning systems from far below human level to superhuman, given sufficient compute. In the span of a month, our system went from barely matching a high-ranked player to beating the top pros and has continued to improve

Dota 2

We’ve created a bot which beats the world’s top professionals at 1v1 matches of Dota 2 under standard tournament rules. The bot learned the game from scratch by self-play, and does not use imitation learning or tree search. This is a step towards building AI systems which accomplish well-defined goals

Dota 2

We’ve created a bot which beats the world’s top professionals at 1v1 matches of Dota 2 under standard tournament rules. The bot learned the game from scratch by self-play, and does not use imitation learning or tree search. This is a step towards building AI systems which accomplish well-defined goals