OpenAI facts for kids
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| Industry | Artificial intelligence |
| Founded | December 11, 2015 |
| Headquarters | San Francisco, California, U.S. |
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Key people
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| Products | OpenAI Five |
| Revenue |  US$3.7 billion (2024 est.) |
 US$−5 billion (2024 est.) |
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Number of employees
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c. 2,000 (2024) |
OpenAI, Inc. is an American artificial intelligence (AI) research organization founded in December 2015 and headquartered in San Francisco, California. It aims to develop "safe and beneficial" artificial general intelligence (AGI), which it defines as "highly autonomous systems that outperform humans at most economically valuable work". As a leading organization in the ongoing AI boom, OpenAI is known for the GPT family of large language models, the DALL-E series of text-to-image models, and a text-to-video model named Sora. Its release of ChatGPT in November 2022 has been credited with catalyzing widespread interest in generative AI.
The organization consists of the non-profit OpenAI, Inc., registered in Delaware, and its for-profit subsidiary introduced in 2019, OpenAI Global, LLC. Its stated mission is to ensure that AGI "benefits all of humanity". Microsoft owns roughly 49% of OpenAI's equity, having invested US$13 billion. It also provides computing resources to OpenAI through its cloud platform, Microsoft Azure.
In 2023 and 2024, OpenAI faced multiple lawsuits for alleged copyright infringement against authors and media companies whose work was used to train some of OpenAI's products. In November 2023, OpenAI's board removed Sam Altman as CEO, citing a lack of confidence in him, but reinstated him five days later following a reconstruction of the board. Throughout 2024, roughly half of then-employed AI safety researchers left OpenAI, citing the company's prominent role in an industry-wide problem.
History
2015–2018: Non-profit beginnings
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In December 2015, OpenAI was founded by Sam Altman, Elon Musk, Ilya Sutskever, Greg Brockman, Trevor Blackwell, Vicki Cheung, Andrej Karpathy, Durk Kingma, John Schulman, Pamela Vagata, and Wojciech Zaremba, with Sam Altman and Elon Musk as the co-chairs. A total of $1 billion in capital was pledged by Sam Altman, Greg Brockman, Elon Musk, Reid Hoffman, Jessica Livingston, Peter Thiel, Amazon Web Services (AWS), Infosys, and YC Research. The actual collected total amount of contributions was only $130 million until 2019. According to an investigation led by TechCrunch, while YC Research never contributed any funds, Open Philanthropy contributed $30 million and another $15 million in verifiable donations were traced back to Musk. OpenAI later stated that Musk's contributions totaled less than $45 million. The organization stated it would "freely collaborate" with other institutions and researchers by making its patents and research open to the public. OpenAI was initially run from Brockman's living room. It was later headquartered at the Pioneer Building in the Mission District, San Francisco.
According to Wired, Brockman met with Yoshua Bengio, one of the "founding fathers" of deep learning, and drew up a list of the "best researchers in the field". Brockman was able to hire nine of them as the first employees in December 2015. In 2016, OpenAI paid corporate-level (rather than nonprofit-level) salaries, but did not pay AI researchers salaries comparable to those of Facebook or Google.
Microsoft's Peter Lee stated that the cost of a top AI researcher exceeds the cost of a top NFL quarterback prospect. OpenAI's potential and mission drew these researchers to the firm; a Google employee said he was willing to leave Google for OpenAI "partly because of the very strong group of people and, to a very large extent, because of its mission." Brockman stated that "the best thing that I could imagine doing was moving humanity closer to building real AI in a safe way." OpenAI co-founder Wojciech Zaremba stated that he turned down "borderline crazy" offers of two to three times his market value to join OpenAI instead.
In April 2016, OpenAI released a public beta of "OpenAI Gym", its platform for reinforcement learning research. Nvidia gifted its first DGX-1 supercomputer to OpenAI in August 2016 to help it train larger and more complex AI models with the capability of reducing processing time from six days to two hours. In December 2016, OpenAI released "Universe", a software platform for measuring and training an AI's general intelligence across the world's supply of games, websites, and other applications.
In 2017, OpenAI spent $7.9 million, or a quarter of its functional expenses, on cloud computing alone. In comparison, DeepMind's total expenses in 2017 were $442 million. In the summer of 2018, simply training OpenAI's Dota 2 bots required renting 128,000 CPUs and 256 GPUs from Google for multiple weeks.
In 2018, Musk resigned from his Board of Directors seat, citing "a potential future conflict [of interest]" with his role as CEO of Tesla due to Tesla's AI development for self-driving cars. Sam Altman claims that Musk believed that OpenAI had fallen behind other players like Google and Musk proposed instead to take over OpenAI himself, which the board rejected. Musk subsequently left OpenAI.
In February 2019, GPT-2 was announced, which gained attention for its ability to generate human-like text.
2019: Transition from non-profit
In 2019, OpenAI transitioned from non-profit to "capped" for-profit, with the profit being capped at 100 times any investment. According to OpenAI, the capped-profit model allows OpenAI Global, LLC to legally attract investment from venture funds and, in addition, to grant employees stakes in the company. Many top researchers work for Google Brain, DeepMind, or Facebook, which offer stock options that a nonprofit would be unable to. Before the transition, public disclosure of the compensation of top employees at OpenAI was legally required.
The company then distributed equity to its employees and partnered with Microsoft, announcing an investment package of $1 billion into the company. Since then, OpenAI systems have run on an Azure-based supercomputing platform from Microsoft.
OpenAI Global, LLC then announced its intention to commercially license its technologies. It planned to spend the $1 billion "within five years, and possibly much faster". Altman has stated that even a billion dollars may turn out to be insufficient, and that the lab may ultimately need "more capital than any non-profit has ever raised" to achieve artificial general intelligence.
The transition from a nonprofit to a capped-profit company was viewed with skepticism by Oren Etzioni of the nonprofit Allen Institute for AI, who agreed that wooing top researchers to a nonprofit is difficult, but stated "I disagree with the notion that a nonprofit can't compete" and pointed to successful low-budget projects by OpenAI and others. "If bigger and better funded was always better, then IBM would still be number one."
The nonprofit, OpenAI, Inc., is the sole controlling shareholder of OpenAI Global, LLC, which, despite being a for-profit company, retains a formal fiduciary responsibility to OpenAI, Inc.'s nonprofit charter. A majority of OpenAI, Inc.'s board is barred from having financial stakes in OpenAI Global, LLC. In addition, minority members with a stake in OpenAI Global, LLC are barred from certain votes due to conflict of interest. Some researchers have argued that OpenAI Global, LLC's switch to for-profit status is inconsistent with OpenAI's claims to be "democratizing" AI.
2020–2023: ChatGPT, DALL-E, partnership with Microsoft
In 2020, OpenAI announced GPT-3, a language model trained on large internet datasets. GPT-3 is aimed at natural language answering questions, but it can also translate between languages and coherently generate improvised text. It also announced that an associated API, named simply "the API", would form the heart of its first commercial product.
Eleven employees left OpenAI, mostly between December 2020 and January 2021, in order to establish Anthropic.
In 2021, OpenAI introduced DALL-E, a specialized deep learning model adept at generating complex digital images from textual descriptions, utilizing a variant of the GPT-3 architecture.
In December 2022, OpenAI received widespread media coverage after launching a free preview of ChatGPT, its new AI chatbot based on GPT-3.5. According to OpenAI, the preview received over a million signups within the first five days. According to anonymous sources cited by Reuters in December 2022, OpenAI Global, LLC was projecting $200 million of revenue in 2023 and $1 billion in revenue in 2024.
In January 2023, OpenAI Global, LLC was in talks for funding that would value the company at $29 billion, double its 2021 value. On January 23, 2023, Microsoft announced a new US$10 billion investment in OpenAI Global, LLC over multiple years, partially needed to use Microsoft's cloud-computing service Azure. Rumors of this deal suggested that Microsoft may receive 75% of OpenAI's profits until it secures its investment return and a 49% stake in the company. The investment is believed to be a part of Microsoft's efforts to integrate OpenAI's ChatGPT into the Bing search engine. Google announced a similar AI application (Bard), after ChatGPT was launched, fearing that ChatGPT could threaten Google's place as a go-to source for information.
On February 7, 2023, Microsoft announced that it was building AI technology based on the same foundation as ChatGPT into Microsoft Bing, Edge, Microsoft 365 and other products.
On March 3, 2023, Reid Hoffman resigned from his board seat, citing a desire to avoid conflicts of interest with his investments in AI companies via Greylock Partners, and his co-founding of the AI startup Inflection AI. Hoffman remained on the board of Microsoft, a major investor in OpenAI.
On March 14, 2023, OpenAI released GPT-4, both as an API (with a waitlist) and as a feature of ChatGPT Plus.
On May 22, 2023, Sam Altman, Greg Brockman and Ilya Sutskever posted recommendations for the governance of superintelligence. They consider that superintelligence could happen within the next 10 years, allowing a "dramatically more prosperous future" and that "given the possibility of existential risk, we can't just be reactive". They propose creating an international watchdog organization similar to IAEA to oversee AI systems above a certain capability threshold, suggesting that relatively weak AI systems on the other side should not be overly regulated. They also call for more technical safety research for superintelligences, and ask for more coordination, for example through governments launching a joint project which "many current efforts become part of".
In July 2023, OpenAI launched the superalignment project, aiming to find within 4 years how to align future superintelligences by automating alignment research using AI.
In August 2023, it was announced that OpenAI had acquired the New York-based start-up Global Illumination, a company that deploys AI to develop digital infrastructure and creative tools.
On September 21, 2023, Microsoft had begun rebranding all variants of its Copilot to Microsoft Copilot, including the former Bing Chat and the Microsoft 365 Copilot. This strategy was followed in December 2023 by adding the MS-Copilot to many installations of Windows 11 and Windows 10 as well as a standalone Microsoft Copilot app released for Android and one released for iOS thereafter.
In October 2023, Sam Altman and Peng Xiao, CEO of the Emirati AI firm G42, announced Open AI would let G42 deploy Open AI technology.
On November 6, 2023, OpenAI launched GPTs, allowing individuals to create customized versions of ChatGPT for specific purposes, further expanding the possibilities of AI applications across various industries. On November 14, 2023, OpenAI announced they temporarily suspended new sign-ups for ChatGPT Plus due to high demand. Access for newer subscribers re-opened a month later on December 13.
2024: Public/non-profit efforts, Sora, partnership with Apple
In January 2024, OpenAI announced a partnership with Arizona State University that would give it complete access to ChatGPT Enterprise. It was OpenAI's first partnership with an educational institution. In February, the U.S. Securities and Exchange Commission was reportedly investigating OpenAI over whether company communications made by Altman were used to mislead investors; and an investigation of Altman's statements, opened by the Southern New York U.S. Attorney's Office was ongoing.
On February 15, 2024, OpenAI announced a text-to-video model named Sora, which it plans to release to the public at an unspecified date. It is available for red teams for managing critical harms and risks.
On February 29, 2024, OpenAI and CEO Sam Altman were sued by Elon Musk, who accused them of prioritizing profits over public good, contrary to OpenAI's original mission of developing AI for humanity's benefit. The lawsuit cited OpenAI's policy shift after partnering with Microsoft, questioning its open-source commitment and stirring the AI ethics-vs.-profit debate. OpenAI stated that "Elon understood the mission did not imply open-sourcing AGI." It denied being a de facto Microsoft subsidiary. On March 11, in a court filing, OpenAI said it was "doing just fine without Elon Musk" after he left in 2018. They responded to Musk's lawsuit, calling his claims "incoherent", "frivolous", "extraordinary" and "a fiction". In June, Musk unexpectedly withdrew the lawsuit, but in August reopened it against Altman and others, alleging Altman claimed OpenAI was going to be founded as a non-profit.
On May 15, 2024, Ilya Sutskever resigned and was replaced with Jakub Pachocki to be the Chief Scientist. Jan Leike, the other co-leader of the superalignment team, announced his departure, citing an erosion of safety and trust in OpenAI's leadership. The departures, along with researchers leaving, led OpenAI to absorb the team's work into other research areas, and shut down the superalignment group. According to sources interviewed by Fortune, OpenAI's promise of allocating 20% of its computing capabilities to the superalignment project had not been fulfilled.
On May 19, 2024, Reddit and OpenAI announced a partnership to integrate Reddit's content into OpenAI products, including ChatGPT. This allows OpenAI to access Reddit's Data API, providing real-time, structured content to enhance AI tools and user engagement with Reddit communities. Reddit plans to develop new AI-powered features for users and moderators using OpenAI's platform. The partnership aligns with Reddit's commitment to privacy, adhering to its Public Content Policy and existing Data API Terms, which restrict commercial use without approval. OpenAI will serve as a Reddit advertising partner.
On May 22, 2024, OpenAI entered into an agreement with News Corp to integrate news content from The Wall Street Journal, New York Post, The Times, and The Sunday Times into its AI platform. Meanwhile, other publications like The New York Times chose to sue OpenAI and Microsoft for copyright infringement over use of their content to train AI models.
On May 29, 2024, Axios reported that OpenAI had signed deals with Vox Media and The Atlantic to share content to enhance the accuracy of AI models like ChatGPT by incorporating reliable news sources, addressing concerns about AI misinformation. Concerns were expressed by journalists and unions. The Vox Union stated, "As both journalists and workers, we have serious concerns about this partnership, which we believe could adversely impact members of our union, not to mention the well-documented ethical and environmental concerns surrounding the use of generative AI."
A group of nine current and former OpenAI employees has accused the company of prioritizing profits over safety, using restrictive agreements to silence concerns, and moving too quickly with inadequate risk management. They call for greater transparency, whistleblower protections, and legislative regulation of AI development.
On June 10, 2024, it was announced that OpenAI had partnered with Apple Inc. to bring ChatGPT features to Apple Intelligence and iPhone. On June 13, 2024, OpenAI announced that Paul Nakasone, the former head of the NSA was joining its board. Nakasone also joined the security subcommittee.
On June 24, 2024, OpenAI acquired Multi, a startup running a collaboration platform based on Zoom.
In July 2024, Reuters reported that OpenAI is working on a project to enhance AI reasoning capabilities, and to enable AI to plan ahead, navigate the internet autonomously, and conduct "deep research". The project was released on September 12 and named o1.
On August 5, TechCrunch reported that OpenAI's cofounder John Schulman had left to join rival startup Anthropic. Schulman cited a desire to focus more on AI alignment research. OpenAI's president and co-founder, Greg Brockman, took extended leave till November.
In September 2024, OpenAI's global affairs chief, Anna Makanju, expressed support for the UK's approach to AI regulation during her testimony to a House of Lords committee, stating the company favors "smart regulation" and sees the UK's AI white paper as a positive step towards responsible AI development. Chief Technology Officer (CTO) Mira Murati announced her departure from the company to "create the time and space to do my own exploration". It had been reported Murati was among those who expressed concerns to the Board about Altman.
In October 2024, OpenAI raised $6.6 billion from investors, potentially valuing the company at $157 billion. The funding attracted returning venture capital firms like Thrive Capital and Khosla Ventures, along with major backer Microsoft and new investors Nvidia and SoftBank. OpenAI's CFO, Sarah Friar, informed employees that a tender offer for share buybacks would follow the funding, although specifics were yet to be determined. Thrive Capital invested around $1.2 billion, with the option for an additional $1 billion if revenue goals were met. Apple, despite initial interest, did not participate in this funding round.
Also in October 2024, The Intercept revealed that OpenAI's tools were considered "essential" for AFRICOM's mission and included in an "Exception to Fair Opportunity" contractual agreement between the Department of Defense and Microsoft.
In November 2024, OpenAI acquired the long-standing domain Chat.com and redirected it to ChatGPT's main site. Moreover, Greg Brockman rejoined OpenAI after a three-month leave from his role as president. An OpenAI spokesperson confirmed his return, highlighting that Brockman would collaborate with Altman on tackling key technical challenges. His return followed a wave of high-profile departures, including Mira Murati and Ilya Sutskever, who had since launched their own AI ventures.
In December 2024, OpenAI launched several significant features as part of its "12 Days of OpenAI" event, which started on December 5. It announced Sora, a text-to-video model intended to create realistic videos from text prompts, and available to ChatGPT Plus and Pro users. Additionally, OpenAI launched the o1 model, which is designed to be capable of advanced reasoning through its chain-of-thought processing, enabling it to engage in explicit reasoning before generating responses. This model is intended to tackle complex tasks with improved accuracy and transparency. Another major release was ChatGPT Pro, a subscription service priced at $200 per month that provides users with unlimited access to the o1 model and enhanced voice features. OpenAI shared preliminary benchmark results for the upcoming o3 model. The event also saw the expansion of the Canvas feature, allowing all users to utilize side-by-side digital editing capabilities.
2025
On January 20, 2025, DeepSeek released the "DeepSeek-R1" model, which rivaled the performance of OpenAI's o1 and was open-weight. DeepSeek claimed that this model only took $5.6 million to train. This news lead to panic from investors and caused Nvidia to record the biggest single day market cap loss in history losing $589 billion on January 27.
On January 21, 2025, it was announced that OpenAI, Oracle, SoftBank and MGX would launch The Stargate Project, a joint venture to build an AI infrastructure system in conjunction with the US government. The project takes its name from OpenAI's existing "Stargate" supercomputer project and is estimated to cost $500 billion. The project will be funded over the next four years.
On January 24, OpenAI made Operator, an AI agent and web automation tool for accessing websites to execute goals defined by users. The feature was only available to Pro users in the United States.
On February 2, OpenAI made a deep research agent, that achieved an accuracy of 26.6 percent on Humanity's Last Exam (HLE) benchmark, available to $200-monthly-fee paying users with up to 100 queries per month, while more “limited access” was promised for Plus, Team and later Enterprise users.
On February 10, a consortium of investors led by Elon Musk submitted a $97.4 billion unsolicited bid to buy the nonprofit that controls OpenAI and was willing to match or exceed any better offers. The offer was rejected on 14 February 2025, with OpenAI stating that it was not for sale.
In February, OpenAI underwent a rebranding with a new typeface, word mark, symbol and palette. OpenAI began collaborating with Broadcom in 2024 to design a custom AI chip capable of both training and inference targeted for mass production in 2026 and to be manufactured by TSMC in 3 nm node. This initiative is intended to reduce OpenAI's dependence on Nvidia GPUs, which are costly and face high demand in the market.
On February 13, Sam Altman announced that GPT-4.5, internally known as "Orion", will be the last model without full chain-of-thought reasoning. Altman also indicated that GPT-5, expected to be released within months, could unify the O-Series and GPT-Series models, eliminating the need to choose between them and phasing out O-series models.
Management
Key employees
- CEO and co-founder: Sam Altman, former president of the startup accelerator Y Combinator
- President and co-founder: Greg Brockman, former CTO, 3rd employee of Stripe
- Chief Scientist Officer: Jakub Pachocki, former Director of Research at OpenAI
- Chief Operating Officer: Brad Lightcap, previously at Y Combinator and JPMorgan Chase
- Chief Financial Officer: Sarah Friar, former Nextdoor CEO and former CFO at Block, Inc.
- Chief Product Officer: Kevin Weil, previously at Twitter, Inc. and Meta Platforms
- Chief Compliance Officer: Scott Schools, former Chief Compliance Officer of Uber
Board of directors of the OpenAI nonprofit
- Bret Taylor (chairman), former chairman of Twitter's board of directors and co-CEO of Salesforce
- Sam Altman
- Lawrence Summers, former U.S. Secretary of the Treasury and President of Harvard University
- Adam D'Angelo, co-founder and CEO of Quora
- Sue Desmond-Hellmann, former CEO of the Bill & Melinda Gates Foundation
- Nicole Seligman, attorney and former executive vice president of the Sony Corporation
- Fidji Simo, CEO and chair of Instacart
- Paul Nakasone, former Director of the National Security Agency (2018–2024)
- Zico Kolter, computer scientist
- Adebayo Ogunlesi, managing partner at Global Infrastructure Partners
Principal individual investors
- Reid Hoffman, LinkedIn co-founder
- Peter Thiel, PayPal co-founder
- Jessica Livingston, a founding partner of Y Combinator
- Elon Musk, co-founder
Initial motivations
Some scientists, such as Stephen Hawking and Stuart Russell, have articulated concerns that if advanced AI gains the ability to redesign itself at an ever-increasing rate, an unstoppable "intelligence explosion" could lead to human extinction. Co-founder Musk characterizes AI as humanity's "biggest existential threat".
Musk and Altman have stated they are partly motivated by concerns about AI safety and the existential risk from artificial general intelligence. OpenAI states that "it's hard to fathom how much human-level AI could benefit society," and that it is equally difficult to comprehend "how much it could damage society if built or used incorrectly". Research on safety cannot safely be postponed: "because of AI's surprising history, it's hard to predict when human-level AI might come within reach." OpenAI states that AI "should be an extension of individual human wills and, in the spirit of liberty, as broadly and evenly distributed as possible." Co-chair Sam Altman expects the decades-long project to surpass human intelligence.
Vishal Sikka, former CEO of Infosys, stated that an "openness", where the endeavor would "produce results generally in the greater interest of humanity", was a fundamental requirement for his support; and that OpenAI "aligns very nicely with our long-held values" and their "endeavor to do purposeful work". Cade Metz of Wired suggested that corporations such as Amazon might be motivated by a desire to use open-source software and data to level the playing field against corporations such as Google and Facebook, which own enormous supplies of proprietary data. Altman stated that Y Combinator companies would share their data with OpenAI.
Strategy
In the early years before his 2018 departure, Musk posed the question: "What is the best thing we can do to ensure the future is good? We could sit on the sidelines or we can encourage regulatory oversight, or we could participate with the right structure with people who care deeply about developing AI in a way that is safe and is beneficial to humanity." He acknowledged that "there is always some risk that in actually trying to advance (friendly) AI we may create the thing we are concerned about"; but nonetheless, that the best defense was "to empower as many people as possible to have AI. If everyone has AI powers, then there's not any one person or a small set of individuals who can have AI superpower."
Musk and Altman's counterintuitive strategy—that of trying to reduce the potential harm of AI by giving everyone access to it—is controversial among those concerned with existential risk from AI. Philosopher Nick Bostrom said, "If you have a button that could do bad things to the world, you don't want to give it to everyone." During a 2016 conversation about technological singularity, Altman said, "We don't plan to release all of our source code" and mentioned a plan to "allow wide swaths of the world to elect representatives to a new governance board". Greg Brockman stated, "Our goal right now ... is to do the best thing there is to do. It's a little vague."
Conversely, OpenAI's initial decision to withhold GPT-2 around 2019, due to a wish to "err on the side of caution" in the presence of potential misuse, was criticized by advocates of openness. Delip Rao, an expert in text generation, stated, "I don't think [OpenAI] spent enough time proving [GPT-2] was actually dangerous." Other critics argued that open publication was necessary to replicate the research and to create countermeasures.
More recently, in 2022, OpenAI published its approach to the alignment problem, anticipating that aligning AGI to human values would likely be harder than aligning current AI systems: "Unaligned AGI could pose substantial risks to humanity[,] and solving the AGI alignment problem could be so difficult that it will require all of humanity to work together". They stated that they intended to explore how to better use human feedback to train AI systems, and how to safely use AI to incrementally automate alignment research.
In 2024, following the temporary removal of Sam Altman and his return, many employees gradually left OpenAI, including most of the original leadership team and a significant number of AI safety researchers. OpenAI also planned a restructuring to operate as a for-profit company. This restructuring could grant Altman a stake in the company.
Stance on China
In February 2025, OpenAI CEO Sam Altman stated that the company is interested in collaborating with China, despite regulatory restrictions imposed by the U.S. government. This shift comes in response to the growing influence of the Chinese artificial intelligence company DeepSeek, which has disrupted the AI market with advanced models, including DeepSeek V3 and DeepSeek R1, known for their efficiency and cost-effectiveness.
The emergence of DeepSeek has led major Chinese tech firms such as Baidu and others to embrace an open-source strategy, intensifying competition with OpenAI. Altman acknowledged the uncertainty regarding U.S. government approval for AI cooperation with China but emphasized the importance of fostering dialogue between technological leaders in both nations.
Products and applications
Reinforcement learning
At its beginning, OpenAI's research included many projects focused on reinforcement learning (RL). OpenAI has been viewed as an important competitor to DeepMind.
Gym
Announced in 2016, Gym is an open-source Python library designed to facilitate the development of reinforcement learning algorithms. It aimed to standardize how environments are defined in AI research, making published research more easily reproducible while providing users with a simple interface for interacting with these environments. In 2022, new developments of Gym have been moved to the library Gymnasium.
Gym Retro
Released in 2018, Gym Retro is a platform for reinforcement learning (RL) research on video games using RL algorithms and study generalization. Prior RL research focused mainly on optimizing agents to solve single tasks. Gym Retro gives the ability to generalize between games with similar concepts but different appearances.
RoboSumo
Released in 2017, RoboSumo is a virtual world where humanoid metalearning robot agents initially lack knowledge of how to even walk, but are given the goals of learning to move and to push the opposing agent out of the ring. Through this adversarial learning process, the agents learn how to adapt to changing conditions. When an agent is then removed from this virtual environment and placed in a new virtual environment with high winds, the agent braces to remain upright, suggesting it had learned how to balance in a generalized way. OpenAI's Igor Mordatch argued that competition between agents could create an intelligence "arms race" that could increase an agent's ability to function even outside the context of the competition.
OpenAI Five
OpenAI Five is a team of five OpenAI-curated bots used in the competitive five-on-five video game Dota 2, that learn to play against human players at a high skill level entirely through trial-and-error algorithms. Before becoming a team of five, the first public demonstration occurred at The International 2017, the annual premiere championship tournament for the game, where Dendi, a professional Ukrainian player, lost against a bot in a live one-on-one matchup. After the match, CTO Greg Brockman explained that the bot had learned by playing against itself for two weeks of real time, and that the learning software was a step in the direction of creating software that can handle complex tasks like a surgeon. The system uses a form of reinforcement learning, as the bots learn over time by playing against themselves hundreds of times a day for months.
By June 2018, the ability of the bots expanded to play together as a full team of five, and they were able to defeat teams of amateur and semi-professional players. At The International 2018, OpenAI Five played in two exhibition matches against professional players, but ended up losing both games. In April 2019, OpenAI Five defeated OG, the reigning world champions of the game at the time, 2:0 in a live exhibition match in San Francisco. The bots' final public appearance came later that month, where they played in 42,729 total games in a four-day open online competition, winning 99.4% of those games.
OpenAI Five's mechanisms in Dota 2's bot player shows the challenges of AI systems in multiplayer online battle arena (MOBA) games and how OpenAI Five has demonstrated the use of deep reinforcement learning (DRL) agents to achieve superhuman competence in Dota 2 matches.
Dactyl
Developed in 2018, Dactyl uses machine learning to train a Shadow Hand, a human-like robot hand, to manipulate physical objects. It learns entirely in simulation using the same RL algorithms and training code as OpenAI Five. OpenAI tackled the object orientation problem by using domain randomization, a simulation approach which exposes the learner to a variety of experiences rather than trying to fit to reality. The set-up for Dactyl, aside from having motion tracking cameras, also has RGB cameras to allow the robot to manipulate an arbitrary object by seeing it. In 2018, OpenAI showed that the system was able to manipulate a cube and an octagonal prism.
In 2019, OpenAI demonstrated that Dactyl could solve a Rubik's Cube. The robot was able to solve the puzzle 60% of the time. Objects like the Rubik's Cube introduce complex physics that is harder to model. OpenAI did this by improving the robustness of Dactyl to perturbations by using Automatic Domain Randomization (ADR), a simulation approach of generating progressively more difficult environments. ADR differs from manual domain randomization by not needing a human to specify randomization ranges.
API
In June 2020, OpenAI announced a multi-purpose API which it said was "for accessing new AI models developed by OpenAI" to let developers call on it for "any English language AI task".
Text generation
The company has popularized generative pretrained transformers (GPT).
OpenAI's original GPT model ("GPT-1")
The original paper on generative pre-training of a transformer-based language model was written by Alec Radford and his colleagues, and published in preprint on OpenAI's website on June 11, 2018. It showed how a generative model of language could acquire world knowledge and process long-range dependencies by pre-training on a diverse corpus with long stretches of contiguous text.
GPT-2
Generative Pre-trained Transformer 2 ("GPT-2") is an unsupervised transformer language model and the successor to OpenAI's original GPT model ("GPT-1"). GPT-2 was announced in February 2019, with only limited demonstrative versions initially released to the public. The full version of GPT-2 was not immediately released due to concern about potential misuse, including applications for writing fake news. Some experts expressed skepticism that GPT-2 posed a significant threat.
In response to GPT-2, the Allen Institute for Artificial Intelligence responded with a tool to detect "neural fake news". Other researchers, such as Jeremy Howard, warned of "the technology to totally fill Twitter, email, and the web up with reasonable-sounding, context-appropriate prose, which would drown out all other speech and be impossible to filter". In November 2019, OpenAI released the complete version of the GPT-2 language model. Several websites host interactive demonstrations of different instances of GPT-2 and other transformer models.
GPT-2's authors argue unsupervised language models to be general-purpose learners, illustrated by GPT-2 achieving state-of-the-art accuracy and perplexity on 7 of 8 zero-shot tasks (i.e. the model was not further trained on any task-specific input-output examples).
The corpus it was trained on, called WebText, contains slightly 40 gigabytes of text from URLs shared in Reddit submissions with at least 3 upvotes. It avoids certain issues encoding vocabulary with word tokens by using byte pair encoding. This permits representing any string of characters by encoding both individual characters and multiple-character tokens.
GPT-3
First described in May 2020, Generative Pre-trained Transformer 3 (GPT-3) is an unsupervised transformer language model and the successor to GPT-2. OpenAI stated that the full version of GPT-3 contained 175 billion parameters, two orders of magnitude larger than the 1.5 billion in the full version of GPT-2 (although GPT-3 models with as few as 125 million parameters were also trained).
OpenAI stated that GPT-3 succeeded at certain "meta-learning" tasks and could generalize the purpose of a single input-output pair. The GPT-3 release paper gave examples of translation and cross-linguistic transfer learning between English and Romanian, and between English and German.
GPT-3 dramatically improved benchmark results over GPT-2. OpenAI cautioned that such scaling-up of language models could be approaching or encountering the fundamental capability limitations of predictive language models. Pre-training GPT-3 required several thousand petaflop/s-days of compute, compared to tens of petaflop/s-days for the full GPT-2 model. Like its predecessor, the GPT-3 trained model was not immediately released to the public for concerns of possible abuse, although OpenAI planned to allow access through a paid cloud API after a two-month free private beta that began in June 2020.
On September 23, 2020, GPT-3 was licensed exclusively to Microsoft.
Codex
Announced in mid-2021, Codex is a descendant of GPT-3 that has additionally been trained on code from 54 million GitHub repositories, and is the AI powering the code autocompletion tool GitHub Copilot. In August 2021, an API was released in private beta. According to OpenAI, the model can create working code in over a dozen programming languages, most effectively in Python.
Several issues with glitches, design flaws and security vulnerabilities were cited.
GitHub Copilot has been accused of emitting copyrighted code, with no author attribution or license.
OpenAI announced that they would discontinue support for Codex API on March 23, 2023.
GPT-4
On March 14, 2023, OpenAI announced the release of Generative Pre-trained Transformer 4 (GPT-4), capable of accepting text or image inputs. They announced that the updated technology passed a simulated law school bar exam with a score around the top 10% of test takers. (By contrast, GPT-3.5 scored around the bottom 10%.) They said that GPT-4 could also read, analyze or generate up to 25,000 words of text, and write code in all major programming languages.
Observers reported that the iteration of ChatGPT using GPT-4 was an improvement on the previous GPT-3.5-based iteration, with the caveat that GPT-4 retained some of the problems with earlier revisions. GPT-4 is also capable of taking images as input on ChatGPT. OpenAI has declined to reveal various technical details and statistics about GPT-4, such as the precise size of the model.
GPT-4o
On May 13, 2024, OpenAI announced and released GPT-4o, which can process and generate text, images and audio. GPT-4o achieved state-of-the-art results in voice, multilingual, and vision benchmarks, setting new records in audio speech recognition and translation. It scored 88.7% on the Massive Multitask Language Understanding (MMLU) benchmark compared to 86.5% by GPT-4.
On July 18, 2024, OpenAI released GPT-4o mini, a smaller version of GPT-4o replacing GPT-3.5 Turbo on the ChatGPT interface. Its API costs $0.15 per million input tokens and $0.60 per million output tokens, compared to $5 and $15 respectively for GPT-4o. OpenAI expects it to be particularly useful for enterprises, startups and developers seeking to automate services with AI agents.
o1
On September 12, 2024, OpenAI released the o1-preview and o1-mini models, which have been designed to take more time to think about their responses, leading to higher accuracy. These models are particularly effective in science, coding, and reasoning tasks, and were made available to ChatGPT Plus and Team members. In December 2024, o1-preview was replaced by o1.
o3
On December 20, 2024, OpenAI unveiled o3, the successor of the o1 reasoning model. OpenAI also unveiled o3-mini, a lighter and faster version of OpenAI o3. As of December 21, 2024, this model is not available for public use. According to OpenAI, they are testing o3 and o3-mini. Until January 10, 2025, safety and security researchers had the opportunity to apply for early access to these models. The model is called o3 rather than o2 to avoid confusion with telecommunications services provider O2.
Deep research
Deep research is an agent developed by OpenAI, unveiled on February 2, 2025. It leverages the capabilities of OpenAI's o3 model to perform extensive web browsing, data analysis, and synthesis, delivering comprehensive reports within a timeframe of 5 to 30 minutes. With browsing and Python tools enabled, it reached an accuracy of 26.6 percent on HLE (Humanity's Last Exam) benchmark.
Image classification
CLIP
Revealed in 2021, CLIP (Contrastive Language–Image Pre-training) is a model that is trained to analyze the semantic similarity between text and images. It can notably be used for image classification.
Text-to-image
DALL-E
Revealed in 2021, DALL-E is a Transformer model that creates images from textual descriptions. DALL-E uses a 12-billion-parameter version of GPT-3 to interpret natural language inputs (such as "a green leather purse shaped like a pentagon" or "an isometric view of a sad capybara") and generate corresponding images. It can create images of realistic objects ("a stained-glass window with an image of a blue strawberry") as well as objects that do not exist in reality ("a cube with the texture of a porcupine"). As of March 2021, no API or code is available.
DALL-E 2
In April 2022, OpenAI announced DALL-E 2, an updated version of the model with more realistic results. In December 2022, OpenAI published on GitHub software for Point-E, a new rudimentary system for converting a text description into a 3-dimensional model.
DALL-E 3
In September 2023, OpenAI announced DALL-E 3, a more powerful model better able to generate images from complex descriptions without manual prompt engineering and render complex details like hands and text. It was released to the public as a ChatGPT Plus feature in October.
Text-to-video
Sora
Sora is a text-to-video model that can generate videos based on short descriptive prompts as well as extend existing videos forwards or backwards in time. It can generate videos with resolution up to 1920x1080 or 1080x1920. The maximal length of generated videos is unknown.
Sora's development team named it after the Japanese word for "sky", to signify its "limitless creative potential". Sora's technology is an adaptation of the technology behind the DALL·E 3 text-to-image model. OpenAI trained the system using publicly-available videos as well as copyrighted videos licensed for that purpose, but did not reveal the number or the exact sources of the videos.
OpenAI demonstrated some Sora-created high-definition videos to the public on February 15, 2024, stating that it could generate videos up to one minute long. It also shared a technical report highlighting the methods used to train the model, and the model's capabilities. It acknowledged some of its shortcomings, including struggles simulating complex physics. Will Douglas Heaven of the MIT Technology Review called the demonstration videos "impressive", but noted that they must have been cherry-picked and might not represent Sora's typical output.
Despite skepticism from some academic leaders following Sora's public demo, notable entertainment-industry figures have shown significant interest in the technology's potential. In an interview, actor/filmmaker Tyler Perry expressed his astonishment at the technology's ability to generate realistic video from text descriptions, citing its potential to revolutionize storytelling and content creation. He said that his excitement about Sora's possibilities was so strong that he had decided to pause plans for expanding his Atlanta-based movie studio.
Speech-to-text
Whisper
Released in 2022, Whisper is a general-purpose speech recognition model. It is trained on a large dataset of diverse audio and is also a multi-task model that can perform multilingual speech recognition as well as speech translation and language identification.
Music generation
MuseNet
Released in 2019, MuseNet is a deep neural net trained to predict subsequent musical notes in MIDI music files. It can generate songs with 10 instruments in 15 styles. According to The Verge, a song generated by MuseNet tends to start reasonably but then fall into chaos the longer it plays.
Jukebox
Released in 2020, Jukebox is an open-sourced algorithm to generate music with vocals. After training on 1.2 million samples, the system accepts a genre, artist, and a snippet of lyrics and outputs song samples. OpenAI stated the songs "show local musical coherence [and] follow traditional chord patterns" but acknowledged that the songs lack "familiar larger musical structures such as choruses that repeat" and that "there is a significant gap" between Jukebox and human-generated music. The Verge stated "It's technologically impressive, even if the results sound like mushy versions of songs that might feel familiar", while Business Insider stated "surprisingly, some of the resulting songs are catchy and sound legitimate".
User interfaces
Debate Game
In 2018, OpenAI launched the Debate Game, which teaches machines to debate toy problems in front of a human judge. The purpose is to research whether such an approach may assist in auditing AI decisions and in developing explainable AI.
Microscope
Released in 2020, Microscope is a collection of visualizations of every significant layer and neuron of eight neural network models which are often studied in interpretability. Microscope was created to analyze the features that form inside these neural networks easily. The models included are AlexNet, VGG-19, different versions of Inception, and different versions of CLIP Resnet.
ChatGPT
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Launched in November 2022, ChatGPT is an artificial intelligence tool built on top of GPT-3 that provides a conversational interface that allows users to ask questions in natural language. The system then responds with an answer within seconds. ChatGPT reached 1 million users 5 days after its launch.
As of 2023, ChatGPT Plus is a GPT-4 backed version of ChatGPT available for a US$20 per month subscription fee (the original version is backed by GPT-3.5). OpenAI also makes GPT-4 available to a select group of applicants through their GPT-4 API waitlist; after being accepted, an additional fee of US$0.03 per 1000 tokens in the initial text provided to the model ("prompt"), and US$0.06 per 1000 tokens that the model generates ("completion"), is charged for access to the version of the model with an 8192-token context window; for the 32768-token context window, the prices are doubled.
In May 2023, OpenAI launched a user interface for ChatGPT for the App Store on iOS and later in July 2023 for the Play Store on Android. The app supports chat history syncing and voice input (using Whisper, OpenAI's speech recognition model). In September 2023, OpenAI announced that ChatGPT "can now see, hear, and speak". ChatGPT Plus users can upload images, while mobile app users can talk to the chatbot.
In October 2023, OpenAI's latest image generation model, DALL-E 3, was integrated into ChatGPT Plus and ChatGPT Enterprise. The integration uses ChatGPT to write prompts for DALL-E guided by conversation with users.
OpenAI's GPT Store, initially slated for a 2023 launch, is now deferred to an undisclosed date in early 2024, attributed likely to the leadership changes in November following the initial announcement.
Concerns about the energy consumption of generative AI, including ChatGPT, are rising. In September 2024, Microsoft entered a deal with Constellation Energy to reopen the Three Mile Island nuclear plant to supply power to its AI-driven data centers.
In December 2024, OpenAI launched a new feature allowing users to call ChatGPT for up to 15 minutes per month for free.
SearchGPT
SearchGPT, a prototype search engine developed by OpenAI, was unveiled on July 25, 2024, with an initial limited release to 10,000 test users. It combines traditional search engine features with generative AI capabilities.
Stargate and other supercomputers
Stargate is a potential artificial intelligence supercomputer in development by Microsoft and OpenAI, in collaboration with Oracle, SoftBank, and MGX. Stargate is designed as part of a greater data center project, which could represent an investment of as much as $100 billion by Microsoft.
Stargate is reported to be part of a series of AI-related construction projects planned in the next few years by the companies Microsoft and OpenAI. The supercomputers will be constructed in five phases. The fourth phase should consist in a smaller OpenAI supercomputer, planned to launch around 2026. Stargate is the fifth and final phase of the program, and will take five and six years to complete and is slated to launch around 2028.
The artificial intelligence of Stargate is slated to be contained on millions of special server chips. The supercomputer's data center will be built in the US across 700 acres of land. It has a planned power consumption of 5 gigawatts, for which it could rely on nuclear energy. The name "Stargate" is a homage to the 1994 sci-fi film Stargate.
See also
In Spanish: OpenAI para niños
- Anthropic
- Center for AI Safety
- Future of Humanity Institute
- Future of Life Institute
- Google DeepMind
- Machine Intelligence Research Institute
- Microsoft
- Bing
- The New York Times
