codex apps

Powering Next Generation Applications with OpenAI Codex

OpenAI Codex, a natural language-to-code system based on GPT-3, helps turn simple English instructions into over a dozen popular coding languages. Codex was released last August through our API and is the principal building block of GitHub Copilot. Our motivation behind Codex is to supplement developers’ work and increase productivity. Codex helps computers to better …

dall e 2 update

DALL·E 2 Research Preview Update

Last month, we started previewing DALL·E 2 to a limited number of trusted users to learn about the technology’s capabilities and limitations. Since then, we’ve been working with our users to actively incorporate the lessons we learn. As of today: Our users have collectively created over 3 million images with DALL·E. We’ve enhanced our safety …

openai leadership update

OpenAI Leadership Team Update

Greg Brockman is becoming President, a new role which reflects his unique combination of personal coding contributions on our critical path together with company strategy. He is currently focused on training our flagship AI systems. Brad Lightcap has been pivotal in OpenAI’s growth, scaling our structure, team, and capital base through his oversight of our …

Measuring Goodhart’s Law

Goodhart’s law famously says: “When a measure becomes a target, it ceases to be a good measure.” Although originally from economics, it’s something we have to grapple with at OpenAI when figuring out how to optimize objectives that are difficult or costly to measure. It’s often necessary to introduce some proxy objective that’s easier or …

Reinforcement Learning for Budget Constrained Recommendations

by Ehtsham Elahiwith James McInerney, Nathan Kallus, Dario Garcia Garcia and Justin Basilico Introduction This writeup is about using reinforcement learning to construct an optimal list of recommendations when the user has a finite time budget to make a decision from the list of recommendations. Working within the time budget introduces an extra resource constraint for …

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Virtual Production — A Validation Framework For Unreal Engine

Virtual Production — A Validation Framework For Unreal Engine By Adam Davis, Jimmy Fusil, Bhanu Srikanth and Girish Balakrishnan Game Engines in Virtual Production The use of Virtual Production and real time technologies has markedly accelerated in the past few years. At Netflix, we are always thrilled to see technology enable new ways of telling stories, and the …

Data Mesh — A Data Movement and Processing Platform @ Netflix

Data Mesh — A Data Movement and Processing Platform @ Netflix By Bo Lei, Guilherme Pires, James Shao, Kasturi Chatterjee, Sujay Jain, Vlad Sydorenko Background Realtime processing technologies (A.K.A stream processing) is one of the key factors that enable Netflix to maintain its leading position in the competition of entertaining our users. Our previous generation of streaming pipeline …

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Formulating ‘Out of Memory Kill’ Prediction on the Netflix App as a Machine Learning Problem

by Aryan Mehrawith Farnaz Karimdady Sharifabad, Prasanna Vijayanathan, Chaïna Wade, Vishal Sharma and Mike Schassberger Aim and Purpose — Problem Statement The purpose of this article is to give insights into analyzing and predicting “out of memory” or OOM kills on the Netflix App. Unlike strong compute devices, TVs and set top boxes usually have stronger memory …

How Netflix Content Engineering makes a federated graph searchable (Part 2)

By Alex Hutter, Falguni Jhaveri, and Senthil Sayeebaba In a previous post, we described the indexing architecture of Studio Search and how we scaled the architecture by building a config-driven self-service platform that allowed teams in Content Engineering to spin up search indices easily. This post will discuss how Studio Search supports querying the data available …

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Scaling Appsec at Netflix (Part 2)

By Astha Singhal, Lakshmi Sudheer, Julia Knecht The Application Security teams at Netflix are responsible for securing the software footprint that we create to run the Netflix product, the Netflix studio, and the business. Our customers are product and engineering teams at Netflix that build these software services and platforms. The Netflix cultural values of ‘Context …