惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

cs.AI updates on arXiv.org
cs.AI updates on arXiv.org
Threat Intelligence Blog | Flashpoint
Threat Intelligence Blog | Flashpoint
A
Arctic Wolf
Apple Machine Learning Research
Apple Machine Learning Research
人人都是产品经理
人人都是产品经理
Spread Privacy
Spread Privacy
IT之家
IT之家
F
Fortinet All Blogs
GbyAI
GbyAI
T
Threat Research - Cisco Blogs
月光博客
月光博客
WordPress大学
WordPress大学
V
Vulnerabilities – Threatpost
G
GRAHAM CLULEY
酷 壳 – CoolShell
酷 壳 – CoolShell
MyScale Blog
MyScale Blog
小众软件
小众软件
AI
AI
云风的 BLOG
云风的 BLOG
Jina AI
Jina AI
博客园 - 【当耐特】
T
Tailwind CSS Blog
Recorded Future
Recorded Future
Simon Willison's Weblog
Simon Willison's Weblog
I
Intezer
Schneier on Security
Schneier on Security
Engineering at Meta
Engineering at Meta
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
V
V2EX
T
The Exploit Database - CXSecurity.com
大猫的无限游戏
大猫的无限游戏
PCI Perspectives
PCI Perspectives
K
Kaspersky official blog
U
Unit 42
奇客Solidot–传递最新科技情报
奇客Solidot–传递最新科技情报
Webroot Blog
Webroot Blog
钛媒体:引领未来商业与生活新知
钛媒体:引领未来商业与生活新知
A
About on SuperTechFans
Stack Overflow Blog
Stack Overflow Blog
N
News and Events Feed by Topic
MongoDB | Blog
MongoDB | Blog
C
CERT Recently Published Vulnerability Notes
Security Latest
Security Latest
爱范儿
爱范儿
L
LangChain Blog
V
Visual Studio Blog
W
WeLiveSecurity
Exploit-DB.com RSS Feed
Exploit-DB.com RSS Feed
C
Cisco Blogs
H
Hackread – Cybersecurity News, Data Breaches, AI and More

OpenAI News

Using custom GPTs ChatGPT for customer success teams Applications of AI at OpenAI Research with ChatGPT Analyzing data with ChatGPT Financial services Responsible and safe use of AI Writing with ChatGPT ChatGPT for research Creating images with ChatGPT Personalizing ChatGPT ChatGPT for finance teams Getting started with ChatGPT Working with files in ChatGPT ChatGPT for sales teams Prompting fundamentals ChatGPT for managers Using projects in ChatGPT ChatGPT for marketing teams Brainstorming with ChatGPT AI fundamentals ChatGPT for operations teams Healthcare Our response to the Axios developer tool compromise Using skills OpenAI Full Fan Mode Contest: Terms & Conditions CyberAgent moves faster with ChatGPT Enterprise and Codex The next phase of enterprise AI Introducing the Child Safety Blueprint Introducing the OpenAI Safety Fellowship Industrial policy for the Intelligence Age OpenAI acquires TBPN Codex now offers more flexible pricing for teams Gradient Labs gives every bank customer an AI account manager OpenAI raises $122 billion to accelerate the next phase of AI Helping disaster response teams turn AI into action across Asia STADLER reshapes knowledge work at a 230-year-old company Inside our approach to the Model Spec Introducing the OpenAI Safety Bug Bounty program Helping developers build safer AI experiences for teens Update on the OpenAI Foundation Powering Product Discovery in ChatGPT Creating with Sora Safely How we monitor internal coding agents for misalignment OpenAI to acquire Astral Introducing GPT-5.4 mini and nano OpenAI Japan announces Japan Teen Safety Blueprint to put teen safety first Equipping workers with insights about compensation Why Codex Security Doesn’t Include a SAST Report Designing AI agents to resist prompt injection From model to agent: Equipping the Responses API with a computer environment Rakuten fixes issues twice as fast with Codex Wayfair boosts catalog accuracy and support speed with OpenAI Improving instruction hierarchy in frontier LLMs New ways to learn math and science in ChatGPT OpenAI to acquire Promptfoo Codex Security: now in research preview How Descript engineers multilingual video dubbing at scale How Balyasny Asset Management built an AI research engine Reasoning models struggle to control their chains of thought, and that’s good Introducing GPT-5.4 GPT-5.4 Thinking System Card Ensuring AI use in education leads to opportunity VfL Wolfsburg turns ChatGPT into a club-wide capability OpenAI and NORAD team up to bring new magic to “NORAD Tracks Santa” Accenture and OpenAI accelerate enterprise AI success OpenAI takes an ownership stake in Thrive Holdings to accelerate enterprise AI adoption What to know about a recent Mixpanel security incident Expanding data residency access to business customers worldwide Our approach to mental health-related litigation Inside JetBrains—the company reshaping how the world writes code Introducing shopping research in ChatGPT How GPT-5 helped mathematician Ernest Ryu solve a 40-year-old open problem OpenAI and Foxconn collaborate to strengthen U.S. manufacturing across the AI supply chain Disrupting malicious uses of AI: June 2025 Creating websites in minutes with AI Website Builder Addendum to OpenAI o3 and o4-mini system card: OpenAI o3 Operator OpenAI Deutschland Shipping code faster with o3, o4-mini, and GPT-4.1 Introducing Stargate UAE New tools and features in the Responses API Introducing Codex Addendum to o3 and o4-mini system card: Codex AI powers Expedia’s marketing evolution Strengthening America’s AI leadership with the U.S. National Laboratories Introducing ChatGPT Gov Operator System Card Computer-Using Agent Introducing Operator Bertelsmann powers creativity and productivity with OpenAI Trading Inference-Time Compute for Adversarial Robustness Announcing The Stargate Project Stargate Infrastructure The power of personalized AI Delivering LLM-powered health solutions Increasing accuracy of pediatric visit notes Practices for Governing Agentic AI Systems Superalignment Fast Grants Weak-to-strong generalization Partnership with Axel Springer to deepen beneficial use of AI in journalism
Why OpenAI’s structure must evolve to advance our mission
2024-12-27 · via OpenAI News

OpenAI’s Board of Directors is evaluating our corporate structure in order to best support the mission of ensuring artificial general intelligence (AGI)1 benefits all of humanity, with three objectives:

  1. Choose a non-profit / for-profit structure that is best for the long-term success of the mission.
  2. Make the non-profit sustainable.
  3. Equip each arm to do its part.

We have a non-profit and a for-profit today, and we will continue to have both, with the for-profit’s success enabling the non-profit to be well funded, better sustained, and in a stronger position for the mission.

We view this mission as the most important challenge of our time. It requires simultaneously advancing AI’s capability, safety, and positive impact in the world. In this post, we share the history of our current structure, why we think a change is necessary, and what specific change we are considering.

We began in 2015 as a research lab with a vision that AGI might really happen, and we wanted to help it go as well as possible. In these early days, we thought that progress relied on key ideas produced by top researchers and that supercomputing clusters were less important.

We performed experiments ranging from toolkits for game-playing AI to robotics research and published papers. We had no products, no business, and no commercial revenue.

Our stated goal was “advancing digital intelligence in the way most likely to benefit humanity as a whole, unconstrained by a need to generate financial return.” A non-profit structure seemed fitting, and we raised donations in various forms including cash ($137M, less than a third of which was from Elon) and compute credits and discounts ($1.8M from Amazon and $50M or more from each of Azure and Google Cloud).

Eventually, it became clear that the most advanced AI would continuously use more and more compute and that scaling large language models was a promising path to AGI rooted in an understanding of humanity. We would need far more compute, and therefore far more capital, than we could obtain with donations in order to pursue our mission.

In 2019, we became more than a lab—we also became a startup. We estimated that we’d have to raise on the order of $10B to build AGI. This level of capital for compute and talent meant we needed to partner with investors in order to continue the non-profit’s mission.

We created a bespoke structure: a for-profit, controlled by the non-profit, with a capped profit share for investors and employees. We intended to make significant profits(opens in a new window) to pay back shareholders, who make our mission possible, and have the remainder flow to the non-profit. We rephrased our mission to “ensure that artificial general intelligence benefits all of humanity” and planned to achieve it “primarily by attempting to build safe AGI and share the benefits with the world.” The words and approach changed to serve the same goal—benefiting humanity.

That year, the for-profit raised an initial round of over $100M, followed by $1 billion from Microsoft.

By 2020, to raise additional capital, we needed to demonstrate that our technology could generate revenue before reaching AGI. So we built our first product. In the process, we learned how different real-world safety is from what we expected in the lab. Meanwhile, we also began delivering the “benefits” part of our mission, rather than having to wait until after achieving AGI.

In 2022, we launched ChatGPT, a product which made AI accessible to regular people and everyday life. Today, over 300 million people use it each week for productivity, learning, and more—most of them for free.

In 2024, we discovered a new research paradigm, with our o-series models demonstrating new reasoning capabilities that scale with “thinking” compute, stacking together with compute for training.

Our impact is not just what we create ourselves, but how we influence others. In part due to our progress(opens in a new window), there’s vibrant(opens in a new window) competition(opens in a new window) in the space, from commercial products similar to ChatGPT to open source LLMs, and vigorous innovation(opens in a new window) on(opens in a new window) safety(opens in a new window). This activity is only the start of an AI-charged economy and shows how OpenAI’s pursuit of leadership in the field can inspire other organizations to advance the mission too.

The hundreds(opens in a new window) of(opens in a new window) billions(opens in a new window) of(opens in a new window) dollars that major companies are now investing into AI development show what it will really take for OpenAI to continue pursuing the mission. We once again need to raise more capital than we’d imagined. Investors want to back us but, at this scale of capital, need conventional equity and less structural bespokeness.

As we enter 2025, we will have to become more than a lab and a startup—we have to become an enduring company. The Board’s objectives as it considers, in consultation with outside legal and financial advisors, how to best structure OpenAI to advance the mission of ensuring AGI benefits all of humanity have been:

  1. Choose a non-profit / for-profit structure that is best for the long-term success of the mission. Our plan is to transform our existing for-profit into a Delaware Public Benefit Corporation(opens in a new window) (PBC) with ordinary shares of stock and the OpenAI mission as its public benefit interest. The PBC is a structure(opens in a new window) used by(opens in a new window) many(opens in a new window) others(opens in a new window) that requires the company to balance shareholder interests, stakeholder interests, and a public benefit interest in its decisionmaking. It will enable us to raise the necessary capital with conventional terms like others in this space.
  2. Make the non-profit sustainable. Our plan would result in one of the best resourced non-profits in history. The non-profit’s significant interest in the existing for-profit would take the form of shares in the PBC at a fair valuation determined by independent financial advisors. This will multiply the resources that our donors gave manyfold.
  3. Equip each arm to do its part. Our current structure does not allow the Board to directly consider the interests of those who would finance the mission and does not enable the non-profit to easily do more than control the for-profit. The PBC will run and control OpenAI’s operations and business, while the non-profit will hire a leadership team and staff to pursue charitable initiatives in sectors such as health care, education, and science.

We’ve learned to think of the mission as a continuous objective rather than just building any single system. The world is moving to build out a new infrastructure of energy, land use, chips, datacenters, data, AI models, and AI systems for the 21st century economy. We seek to evolve in order to take the next step in our mission, helping to build the AGI economy and ensuring it benefits humanity.