Our second class of OpenAI Scholars has concluded, with all eight scholars producing an exciting final project showcased at Scholars Demo Day at OpenAI. Over the past three months, we’ve seen how experienced engineers working in software, medicine, physics, child development and other fields can become machine learning practitioners with our combination of educational resources and mentorship.
Our second class of OpenAI Fellows has wrapped up, with each Fellow going from a machine learning beginner to core OpenAI contributor in the course of a 6-month apprenticeship. We are currently reviewing applications on a rolling basis for our next round of OpenAI Fellows Summer 2019.
Our first cohort of OpenAI fellows have completed their final projects, with each Fellow going from a machine learning beginner to core OpenAI contributor.
We’ve discovered that the gradient noise scale, a simple statistical metric, predicts the parallelizability of neural network training.
We’re releasing a new training environment, CoinRun, that precisely quantifies an agent’s ability to transfer its experience to novel test environments.
We’ve built an energy-based model that can quickly recognize, generate, and transfer simple concepts (such as near, above, between, closest, and furthest) represented by sequences or sets of 2D points.
We’re proposing an AI safety technique called iterated amplification that lets us specify complicated behaviors and goals that are beyond human scale, by demonstrating how to decompose a task into simpler sub-tasks, rather than by providing labeled data or a reward function. Although this idea is in its very
Our first cohort of OpenAI Scholars has now completed the program. Over the past three months, we’ve seen how quickly experienced software developers can become machine learning practitioners. All eight Scholars produced an exciting final project and are going on to work or teach within machine learning.
We’ll be hosting
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:
Yesterday, OpenAI Five won a best-of-three against a team of 99.95th percentile Dota players: Blitz, Cap, Fogged, Merlini, and MoonMeander — four of whom have played Dota professionally — in front of a live audience and 100,000 concurrent livestream viewers. The human team won game three after the audience adversarially
