Jump to content

Products and applications of OpenAI

Add links
From Wikipedia, the free encyclopedia

The American artificial intelligence organization OpenAI has released a variety of products and applications since its founding in 2015.

Reinforcement learning

[edit]

At its beginning, OpenAI's research included many projects focused on reinforcement learning (RL).[1] OpenAI has been viewed as an important competitor to DeepMind.[2]

Gym

[edit]

Announced in 2016, Gym was 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[3][4] 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.[5][6]

Gym Retro

[edit]

Released in 2018, Gym Retro is a platform for reinforcement learning (RL) research on video games[7] 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

[edit]

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.[8] 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.[8][9] 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.[8]

OpenAI Five

[edit]
Main article: 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.[10][11] 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.[12][13] 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, and are rewarded for actions such as killing an enemy and taking map objectives.[14][15][16]

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.[17][14][18][19] At The International 2018, OpenAI Five played in two exhibition matches against professional players, but ended up losing both games.[20][21][22] 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.[23][24] 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.[25]

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.[26]

Dactyl

[edit]

Developed in 2018, Dactyl uses machine learning to train a Shadow Hand, a human-like robot hand, to manipulate physical objects.[27] 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.[28]

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.[29]

API

[edit]

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".[30][31]

Text generation

[edit]

The company has popularized generative pretrained transformers (GPT).[32]

OpenAI's original GPT model ("GPT-1")

[edit]
Further information: Generative pre-trained transformer § History
The original GPT model

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.[33] 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

[edit]
Main article: GPT-2
An instance of GPT-2 writing a paragraph based on a prompt from its own Wikipedia article in February 2021

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.[34] 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".[35] 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".[36] In November 2019, OpenAI released the complete version of the GPT-2 language model.[37] Several websites host interactive demonstrations of different instances of GPT-2 and other transformer models.[38][39][40]

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.[41]

GPT-3

[edit]
Main article: GPT-3

First described in May 2020, Generative Pre-trained[a] Transformer 3 (GPT-3) is an unsupervised transformer language model and the successor to GPT-2.[42][43][44] OpenAI stated that the full version of GPT-3 contained 175 billion parameters,[44] two orders of magnitude larger than the 1.5 billion[45] in the full version of GPT-2 (although GPT-3 models with as few as 125 million parameters were also trained).[46]

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.[44]

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.[47] Pre-training GPT-3 required several thousand petaflop/s-days[b] of compute, compared to tens of petaflop/s-days for the full GPT-2 model.[44] Like its predecessor,[34] 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.[30][49]

On September 23, 2020, GPT-3 was licensed exclusively to Microsoft.[50][51]

Codex

[edit]
Main article: OpenAI Codex

Announced in mid-2021, Codex is a descendant of GPT-3 that has additionally been trained on code from 54 million GitHub repositories,[52][53] and is the AI powering the code autocompletion tool GitHub Copilot.[53] In August 2021, an API was released in private beta.[54] According to OpenAI, the model can create working code in over a dozen programming languages, most effectively in Python.[52]

Several issues with glitches, design flaws and security vulnerabilities were cited.[55][56]

OpenAI announced that they would discontinue support for Codex API on March 23, 2023.[57]

GPT-4

[edit]
Main article: 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.[58] 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.[59]

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.[60] GPT-4 is also capable of taking images as input on ChatGPT.[61] OpenAI has declined to reveal various technical details and statistics about GPT-4, such as the precise size of the model.[62]

GPT-4o

[edit]

On May 13, 2024, OpenAI announced and released GPT-4o, which can process and generate text, images and audio.[63] GPT-4o achieved state-of-the-art results in voice, multilingual, and vision benchmarks, setting new records in audio speech recognition and translation.[64][65] It scored 88.7% on the Massive Multitask Language Understanding (MMLU) benchmark compared to 86.5% by GPT-4.[66]

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.[67]

In March 2025, OpenAI released GPT-4o's native image generation feature, as an alternative to DALL-E 3. [68]

GPT-4.5

[edit]

On February 27, 2025, OpenAI released GPT-4.5, codenamed Orion. Sam Altman claimed that GPT-4.5 would present inaccurate information less frequently than previous models, and described it as a "giant, expensive model".[69]

GPT-4.1

[edit]

On April 14, 2025, OpenAI released the GPT-4.1 model. They also released two “smaller, faster, and cheaper” models including GPT-4.1 mini and GPT-4.1 nano.[70][71][72]

o1

[edit]
Main article: OpenAI 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.[73][74] In December 2024, o1-preview was replaced by o1.[75] In March 2025, the o1-Pro model was made available through OpenAI's developer API, which was previously available to ChatGPT Pro users since December 2024. The pricing is $150 per million input tokens and $600 per million output tokens.[76]

o3

[edit]
Main article: OpenAI 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.[77][78] Until January 10, 2025, safety and security researchers had the opportunity to apply for early access to these models.[79] The model is called o3 rather than o2 to avoid confusion with telecommunications services provider O2.[80] On April 2025, OpenAI released o3 to all the paid users. o3 has enhance reasoning and problem-solving capabilities than o1.[81]

Deep research

[edit]
Main article: ChatGPT 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.[82] With browsing and Python tools enabled, it reached an accuracy of 26.6 percent on HLE (Humanity's Last Exam) benchmark.[83] In April 2025, OpenAI started rolling out a lightweight version of Deep Research to all its ChatGPT free users.[84][85]

Image classification

[edit]

CLIP

[edit]

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.[86]

Text-to-image

[edit]
Main article: DALL-E

DALL-E

[edit]
Images produced in 2021 by DALL-E when given the text prompt "a professional high-quality illustration of a giraffe dragon chimera. a giraffe imitating a dragon. a giraffe made of dragon."

Revealed in 2021, DALL-E is a Transformer model that creates images from textual descriptions.[87] 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

[edit]

In April 2022, OpenAI announced DALL-E 2, an updated version of the model with more realistic results.[88] 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.[89]

DALL-E 3

[edit]

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.[90] It was released to the public as a ChatGPT Plus feature in October.[91]

Text-to-video

[edit]

Sora

[edit]
Main article: Sora (text-to-video model)

Sora is a text-to-video model that can generate videos based on short descriptive prompts[92] as well as extend existing videos forwards or backwards in time.[93] 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".[92] Sora's technology is an adaptation of the technology behind the DALL·E 3 text-to-image model.[94] 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.[92]

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.[94] It acknowledged some of its shortcomings, including struggles simulating complex physics.[95] 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.[94]

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.[96]

Speech-to-text

[edit]

Whisper

[edit]

Main article: Whisper (speech recognition system)

Released in 2022, Whisper is a general-purpose speech recognition model.[97] 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.[98]

Music generation

[edit]

MuseNet

[edit]

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.[99][100] In pop culture, initial applications of this tool were used as early as 2020 for the internet psychological thriller Ben Drowned to create music for the titular character.[101][102]

Jukebox

[edit]

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".[103][104][105]

User interfaces

[edit]

Debate Game

[edit]

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.[106][107]

Microscope

[edit]

Released in 2020, Microscope[108] is a collection of visualizations of every significant layer and neuron of eight neural network models which are often studied in interpretability.[109] 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.[110]

ChatGPT

[edit]
Main article: ChatGPT
OpenAI's "Blossom" is used as a symbol for ChatGPT and the company.

Launched in November 2022, ChatGPT is a generative AI chatbot that uses OpenAI's GPT models to generate content. Users can interact with it through text or voice conversations. It can generate images using GPT-4o, which replaced DALL-E 3.[111] ChatGPT gained 100 million users during the two months following its launch.[112]

OpenAI launched multiple subscription plans: Plus, Pro, Team, and Enterprise. Users on ChatGPT's free tier can access GPT-4o but at a reduced limit. The ChatGPT subscriptions "Plus", "Pro", "Team", and "Enterprise" provide increased usage limits and access to additional features or models.[113]

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.[114] In December 2024, OpenAI launched a new feature allowing users to call ChatGPT for up to 15 minutes per month for free.[115][116]

SearchGPT

[edit]
Main article: 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.[117][118]

Stargate and other supercomputers

[edit]

Unveiled in 2024, Stargate was initially a $100 billion project between OpenAI and Microsoft to build data-centers.[119] The name "Stargate" is a homage to the 1994 sci-fi film Stargate.[120] It eventually became a company, Stargate LLC, which was founded in January 2025 as a partnership between OpenAI, Oracle, SoftBank and MGX.[121][119]

Hardware development

[edit]

On May 21, 2025, OpenAI announced the acquisition of io, an AI hardware startup founded by former Apple designer Jony Ive.[122] The deal, valued at approximately $6.5 billion, marks OpenAI’s strategic entry into the consumer hardware market.[123] Ive, known for designing the iPhone, iPad and iMac, will lead hardware and design efforts for OpenAI.[124]

OpenAI CEO Sam Altman and Ive have expressed a shared vision for developing AI-native devices that go beyond conventional screens and interfaces. Though specific product details have not been released, the Washington Post reports that Ive and Altman have already been working on a new product. "The first one I’ve been working on has just completely captured my imagination,” said Jony Ive. Altman added, “I think it is the coolest piece of technology that the world will have ever seen.”[125][122]

Notes

[edit]
  1. ^ The term "pre-training" refers to general language training as distinct from fine-tuning for specific tasks.
  2. ^ One petaflop/s-day is approximately equal to 1020 neural net operations.[48]

References

[edit]
  1. ^ Wiggers, Kyle (July 16, 2021). "OpenAI disbands its robotics research team". VentureBeat. Archived from the original on February 12, 2023. Retrieved February 12, 2023.
  2. ^ Lee, Dave (October 15, 2019). "Robot solves Rubik's cube, but not grand challenge". BBC News. Archived from the original on April 3, 2020. Retrieved February 29, 2020.
  3. ^ Dave Gershgorn (April 27, 2016). "Elon Musk's Artificial Intelligence Group Opens A 'Gym' To Train A.I." Popular Science. Archived from the original on April 30, 2016. Retrieved April 29, 2016.
  4. ^ Greg Brockman; John Schulman (April 27, 2016). "OpenAI Gym Beta". OpenAI Blog. OpenAI. Archived from the original on February 26, 2019. Retrieved April 29, 2016.
  5. ^ "openai/gym". GitHub. Archived from the original on August 23, 2024. Retrieved August 29, 2024. The team that has been maintaining Gym since 2021 has moved all future development to Gymnasium, a drop in replacement for Gym (import gymnasium as gym), and Gym will not be receiving any future updates.
  6. ^ "Announcing The Farama Foundation - The future of open source reinforcement learning". The Farama Foundation. October 25, 2022. Archived from the original on August 29, 2024. Retrieved August 29, 2024.
  7. ^ "Gym Retro". OpenAI. May 25, 2018. Archived from the original on February 12, 2023. Retrieved February 12, 2023.
  8. ^ a b c "AI Sumo Wrestlers Could Make Future Robots More Nimble". Wired. October 11, 2017. Archived from the original on November 7, 2017. Retrieved November 2, 2017.
  9. ^ "OpenAI's Goofy Sumo-Wrestling Bots Are Smarter Than They Look". MIT Technology Review. Archived from the original on November 9, 2018. Retrieved November 2, 2017.
  10. ^ Savov, Vlad (August 14, 2017). "My favorite game has been invaded by killer AI bots and Elon Musk hype". The Verge. Archived from the original on June 26, 2018. Retrieved June 25, 2018.
  11. ^ Frank, Blair Hanley. "OpenAI's bot beats top Dota 2 player so badly that he quits". Venture Beat. Archived from the original on August 12, 2017. Retrieved August 12, 2017.
  12. ^ "Dota 2". blog.openai.com. August 11, 2017. Archived from the original on August 11, 2017. Retrieved August 12, 2017.
  13. ^ "More on Dota 2". blog.openai.com. August 16, 2017. Archived from the original on February 23, 2019. Retrieved August 16, 2017.
  14. ^ a b Simonite, Tom. "Can Bots Outwit Humans in One of the Biggest Esports Games?". Wired. Archived from the original on June 25, 2018. Retrieved June 25, 2018.
  15. ^ Kahn, Jeremy (June 25, 2018). "A Bot Backed by Elon Musk Has Made an AI Breakthrough in Video Game World". Bloomberg.com. Bloomberg L.P. Archived from the original on June 27, 2018. Retrieved June 27, 2018.
  16. ^ Clifford, Catherine (June 28, 2018). "Bill Gates says gamer bots from Elon Musk-backed nonprofit are 'huge milestone' in A.I." CNBC. Archived from the original on June 28, 2018. Retrieved June 29, 2018.
  17. ^ "OpenAI Five Benchmark". blog.openai.com. July 18, 2018. Archived from the original on February 13, 2019. Retrieved August 25, 2018.
  18. ^ Vincent, James (June 25, 2018). "AI bots trained for 180 years a day to beat humans at Dota 2". The Verge. Archived from the original on June 25, 2018. Retrieved June 25, 2018.
  19. ^ Savov, Vlad (August 6, 2018). "The OpenAI Dota 2 bots just defeated a team of former pros". The Verge. Archived from the original on August 7, 2018. Retrieved August 7, 2018.
  20. ^ Simonite, Tom. "Pro Gamers Fend off Elon Musk-Backed AI Bots—for Now". Wired. Archived from the original on August 24, 2018. Retrieved August 25, 2018.
  21. ^ Quach, Katyanna. "Game over, machines: Humans defeat OpenAI bots once again at video games Olympics". The Register. Archived from the original on August 25, 2018. Retrieved August 25, 2018.
  22. ^ "The International 2018: Results". blog.openai.com. August 24, 2018. Archived from the original on August 24, 2018. Retrieved August 25, 2018.
  23. ^ Statt, Nick (April 13, 2019). "OpenAI's Dota 2 AI steamrolls world champion e-sports team with back-to-back victories". The Verge. Archived from the original on April 15, 2019. Retrieved July 20, 2019.
  24. ^ "How to Train Your OpenAI Five". OpenAI Blog. April 15, 2019. Archived from the original on June 30, 2019. Retrieved July 20, 2019.
  25. ^ Wiggers, Kyle (April 22, 2019). "OpenAI's Dota 2 bot defeated 99.4% of players in public matches". Venture Beat. Archived from the original on July 11, 2019. Retrieved April 22, 2019.
  26. ^ Fangasadha, Edbert Felix; Soeroredjo, Steffi; Anderies; Gunawan, Alexander Agung Santoso (September 17, 2022). "Literature Review of OpenAI Five's Mechanisms in Dota 2's Bot Player". 2022 International Seminar on Application for Technology of Information and Communication (ISemantic). IEEE. pp. 183–190. doi:10.1109/iSemantic55962.2022.9920480. ISBN 978-1-6654-8837-2. S2CID 253047170. Archived from the original on May 12, 2023. Retrieved August 7, 2023.
  27. ^ Vincent, James (July 30, 2018). "OpenAI sets new benchmark for robot dexterity". The Verge. Archived from the original on February 12, 2023. Retrieved February 12, 2023.
  28. ^ OpenAI; Andrychowicz, Marcin; Baker, Bowen; Chociej, Maciej; Józefowicz, Rafał; McGrew, Bob; Pachocki, Jakub; Petron, Arthur; Plappert, Matthias; Powell, Glenn; Ray, Alex; Schneider, Jonas; Sidor, Szymon; Tobin, Josh; Welinder, Peter; Weng, Lilian; Zaremba, Wojciech (2019). "Learning Dexterous In-Hand Manipulation". arXiv:1808.00177v5 [cs.LG].
  29. ^ OpenAI; Akkaya, Ilge; Andrychowicz, Marcin; Chociej, Maciek; Litwin, Mateusz; McGrew, Bob; Petron, Arthur; Paino, Alex; Plappert, Matthias; Powell, Glenn; Ribas, Raphael (2019). "Solving Rubik's Cube with a Robot Hand". arXiv:1910.07113v1 [cs.LG].
  30. ^ a b "OpenAI API". OpenAI. June 11, 2020. Archived from the original on June 11, 2020. Retrieved June 14, 2020. Why did OpenAI choose to release an API instead of open-sourcing the models?
    There are three main reasons we did this. First, commercializing the technology helps us pay for our ongoing AI research, safety, and policy efforts. Second, many of the models underlying the API are very large, taking a lot of expertise to develop and deploy and making them very expensive to run. This makes it hard for anyone except larger companies to benefit from the underlying technology. We're hopeful that the API will make powerful AI systems more accessible to smaller businesses and organizations. Third, the API model allows us to more easily respond to misuse of the technology. Since it is hard to predict the downstream use cases of our models, it feels inherently safer to release them via an API and broaden access over time, rather than release an open source model where access cannot be adjusted if it turns out to have harmful applications.
  31. ^ Coldewey, Devin (June 11, 2020). "OpenAI makes an all-purpose API for its text-based AI capabilities". TechCrunch. Archived from the original on June 12, 2020. Retrieved June 11, 2020. If you've ever wanted to try out OpenAI's vaunted machine learning toolset, it just got a lot easier. The company has released an API that lets developers call its AI tools in on "virtually any English language task."
  32. ^ "GPT-1 to GPT-4: Each of OpenAI's GPT Models Explained and Compared". April 11, 2023. Archived from the original on April 15, 2023. Retrieved April 29, 2023.
  33. ^ "Improving Language Understanding by Generative Pre-Training" (PDF). Archived (PDF) from the original on January 26, 2021. Retrieved June 9, 2020.
  34. ^ a b Hern, Alex (February 14, 2019). "New AI fake text generator may be too dangerous to release, say creators". The Guardian. Archived from the original on February 14, 2019. Retrieved February 14, 2019.
  35. ^ Schwartz, Oscar (July 4, 2019). "Could 'fake text' be the next global political threat?". The Guardian. Archived from the original on July 16, 2019. Retrieved July 16, 2019.
  36. ^ Vincent, James (February 14, 2019). "OpenAI's new multitalented AI writes, translates, and slanders". The Verge. Archived from the original on December 18, 2020. Retrieved July 16, 2019.
  37. ^ "GPT-2: 1.5B Release". OpenAI. November 5, 2019. Archived from the original on November 14, 2019. Retrieved November 14, 2019.
  38. ^ "Write With Transformer". Archived from the original on December 4, 2019. Retrieved December 4, 2019.
  39. ^ "Talk to Transformer". Archived from the original on December 4, 2019. Retrieved December 4, 2019.
  40. ^ "CreativeEngines". Archived from the original on February 3, 2023. Retrieved June 25, 2021.
  41. ^ Language Models are Unsupervised Multitask Learners (PDF), archived (PDF) from the original on December 12, 2019, retrieved December 4, 2019
  42. ^ "openai/gpt-3". OpenAI. May 29, 2020. Archived from the original on November 14, 2020. Retrieved May 29, 2020.
  43. ^ Sagar, Ram (June 3, 2020). "OpenAI Releases GPT-3, The Largest Model So Far". Analytics India Magazine. Archived from the original on August 4, 2020. Retrieved June 14, 2020.
  44. ^ a b c d Brown, Tom; Mann, Benjamin; Ryder, Nick; Subbiah, Melanie; Kaplan, Jared; Dhariwal, Prafulla; Neelakantan, Arvind; Shyam, Pranav; Sastry, Girish; Askell, Amanda; Agarwal, Sandhini (June 1, 2020). "Language Models are Few-Shot Learners". p. appendix. arXiv:2005.14165 [cs.CL].
  45. ^ Language Models are Unsupervised Multitask Learners (PDF), archived (PDF) from the original on December 12, 2019, retrieved December 4, 2019, GPT-2, is a 1.5B parameter Transformer
  46. ^ Brown, Tom; Mann, Benjamin; Ryder, Nick; Subbiah, Melanie; Kaplan, Jared; Dhariwal, Prafulla; Neelakantan, Arvind; Shyam, Pranav; Sastry, Girish; Askell, Amanda; Agarwal, Sandhini (June 1, 2020). "Language Models are Few-Shot Learners". arXiv:2005.14165 [cs.CL]. Since we increase the capacity by over two orders of magnitude from GPT-2 to GPT-3
  47. ^ Ray, Tiernan (2020). "OpenAI's gigantic GPT-3 hints at the limits of language models for AI". ZDNet. Archived from the original on June 1, 2020. Retrieved June 5, 2020.
  48. ^ Amodei, Dario; Hernandez, Danny (May 16, 2018). "AI and Compute". Archived from the original on June 17, 2020. Retrieved August 30, 2020. A petaflop/s-day (pfs-day) consists of performing 1015 neural net operations per second for one day, or a total of about 1020 operations. The compute-time product serves as a mental convenience, similar to kW-hr for energy.
  49. ^ Eadicicco, Lisa. "The artificial intelligence company that Elon Musk helped found is now selling the text-generation software it previously said was too dangerous to launch". Business Insider. Archived from the original on November 14, 2020. Retrieved July 6, 2020.
  50. ^ "OpenAI is giving Microsoft exclusive access to its GPT-3 language model". MIT Technology Review. Archived from the original on February 5, 2021. Retrieved September 24, 2020.
  51. ^ "Microsoft gets exclusive license for OpenAI's GPT-3 language model". VentureBeat. September 22, 2020. Archived from the original on November 8, 2020. Retrieved September 24, 2020.
  52. ^ a b Alford, Anthony (August 31, 2021). "OpenAI Announces 12 Billion Parameter Code-Generation AI Codex". InfoQ. Archived from the original on July 9, 2022. Retrieved September 3, 2021.
  53. ^ a b Wiggers, Kyle (July 8, 2021). "OpenAI warns AI behind GitHub's Copilot may be susceptible to bias". VentureBeat. Archived from the original on February 3, 2023. Retrieved September 3, 2021.
  54. ^ Zaremba, Wojciech (August 10, 2021). "OpenAI Codex". OpenAI. Archived from the original on February 3, 2023. Retrieved September 3, 2021.
  55. ^ Dickson, Ben (August 16, 2021). "What to expect from OpenAI's Codex API". VentureBeat. Archived from the original on February 3, 2023. Retrieved September 3, 2021.
  56. ^ Claburn, Thomas (August 25, 2021). "GitHub's Copilot may steer you into dangerous waters about 40% of the time – study". The Register. Archived from the original on February 3, 2023. Retrieved September 3, 2021.
  57. ^ "OpenAI Might Invite Legal Trouble". Analytics India Magazine. March 21, 2023. Archived from the original on March 23, 2023. Retrieved March 23, 2023.
  58. ^ Vincent, James (March 14, 2023). "OpenAI announces GPT-4—the next generation of its AI language model". The Verge. Archived from the original on March 14, 2023. Retrieved March 14, 2023.
  59. ^ Wiggers, Kyle (March 14, 2023). "OpenAI releases GPT-4, a multimodal AI that it claims is state-of-the-art". TechCrunch. Archived from the original on March 15, 2023. Retrieved March 14, 2023.
  60. ^ Belfield, Haydn (March 25, 2023). "If your AI model is going to sell, it has to be safe". Vox. Archived from the original on March 28, 2023. Retrieved March 30, 2023.
  61. ^ Roose, Kevin (September 28, 2023). "The New ChatGPT Can 'See' and 'Talk.' Here's What It's Like". The New York Times. Archived from the original on October 31, 2023. Retrieved December 1, 2023.
  62. ^ Vincent, James (March 15, 2023). "OpenAI co-founder on company's past approach to openly sharing research: "We were wrong"". The Verge. Archived from the original on March 17, 2023. Retrieved March 18, 2023.
  63. ^ Wiggers, Kyle (May 13, 2024). "OpenAI debuts GPT-4o 'omni' model now powering ChatGPT". TechCrunch. Archived from the original on May 22, 2024. Retrieved May 13, 2024.
  64. ^ van Rijmenam, Mark (May 13, 2024). "OpenAI Launched GPT-4o: The Future of AI Interactions Is Here". The Digital Speaker. Archived from the original on May 17, 2024. Retrieved May 17, 2024.
  65. ^ Daws, Ryan (May 14, 2024). "GPT-4o delivers human-like AI interaction with text, audio, and vision integration". AI News. Archived from the original on May 18, 2024. Retrieved May 18, 2024.
  66. ^ "Hello GPT-4o". OpenAI. Archived from the original on May 14, 2024. Retrieved July 14, 2024.
  67. ^ Franzen, Carl (July 18, 2024). "OpenAI unveils GPT-4o mini — a smaller, much cheaper multimodal AI model". VentureBeat. Archived from the original on July 18, 2024. Retrieved July 18, 2024.
  68. ^ Zeff, Kyle Wiggers, Maxwell (2025-03-25). "ChatGPT's image-generation feature gets an upgrade". TechCrunch. Retrieved 2025-03-27.{{cite web}}: CS1 maint: multiple names: authors list (link)
  69. ^ Novet, Jordan (2025-02-27). "OpenAI launching GPT-4.5, its next general-purpose large language model". CNBC. Retrieved 2025-03-18.
  70. ^ Weatherbed, Jess (2025-04-14). "OpenAI debuts its GPT-4.1 flagship AI model". The Verge. Retrieved 2025-04-15.
  71. ^ "Introducing GPT-4.1 in the API". openai.com. Retrieved 2025-04-15.
  72. ^ Knight, Will. "OpenAI's New GPT 4.1 Models Excel at Coding". Wired. ISSN 1059-1028. Retrieved 2025-04-15.
  73. ^ Knight, Will. "OpenAI Announces a New AI Model, Code-Named Strawberry, That Solves Difficult Problems Step by Step". Wired. ISSN 1059-1028. Archived from the original on September 14, 2024. Retrieved September 14, 2024.
  74. ^ Robison, Kylie (September 12, 2024). "OpenAI releases o1, its first model with 'reasoning' abilities". The Verge. Archived from the original on September 13, 2024. Retrieved September 17, 2024.
  75. ^ Franzen, Carl (2024-12-05). "OpenAI launches full o1 model with image uploads and analysis, debuts ChatGPT Pro". VentureBeat. Archived from the original on December 7, 2024. Retrieved 2024-12-07.
  76. ^ Wiggers, Kyle (2025-03-19). "OpenAI's o1-pro is the company's most expensive AI model yet". TechCrunch. Retrieved 2025-03-21.
  77. ^ Zeff, Maxwell; Wiggers, Kyle (2024-12-20). "OpenAI announces new o3 models". TechCrunch. Archived from the original on December 20, 2024. Retrieved 2024-12-20.
  78. ^ Knight, Will. "OpenAI Upgrades Its Smartest AI Model With Improved Reasoning Skills". Wired. ISSN 1059-1028. Archived from the original on December 20, 2024. Retrieved 2024-12-20.
  79. ^ "Early access for safety testing". OpenAI. December 20, 2024. Archived from the original on December 21, 2024. Retrieved 2024-12-23.
  80. ^ Zeff, Maxwell; Wiggers, Kyle (2024-12-20). "OpenAI announces new o3 models". TechCrunch. Archived from the original on December 20, 2024. Retrieved 2024-12-23.
  81. ^ "OpenAI launches new AI reasoning models o3 and 04-mini; older models to be phased out". The Hindu. The Hindu Bureau. 2025-04-17. ISSN 0971-751X. Retrieved 2025-04-17.
  82. ^ "OpenAI launches new AI tool to facilitate research tasks". Reuters. February 3, 2025 – via www.reuters.com.
  83. ^ Lawler, Richard (2025-02-03). "ChatGPT's agent can now do deep research for you". The Verge. Retrieved 2025-02-05.
  84. ^ "OpenAI rolls out free, lightweight Deep Research tool for all ChatGPT users". India Today. 2025-04-25. Retrieved 2025-04-25.
  85. ^ "OpenAI introduces cost-efficient, lightweight version of ChatGPT research tool". The Times of India. 2025-04-25. ISSN 0971-8257. Retrieved 2025-04-25.
  86. ^ "CLIP: Connecting Text and Images". January 5, 2021. Archived from the original on March 25, 2021. Retrieved March 27, 2021.
  87. ^ "DALL·E: Creating Images from Text". January 5, 2021. Archived from the original on March 27, 2021. Retrieved March 27, 2021.
  88. ^ "DALL·E 2". OpenAI. Archived from the original on April 6, 2022. Retrieved April 6, 2022.
  89. ^ "ChatGPT: A scientist explains the hidden genius and pitfalls of OpenAI's chatbot". BBC Science Focus Magazine. 2022. Archived from the original on February 3, 2023. Retrieved December 30, 2022.
  90. ^ "OpenAI's new AI image generator pushes the limits in detail and prompt fidelity". Archived from the original on November 16, 2023. Retrieved November 21, 2023.
  91. ^ "DALL·E 3 is now available in ChatGPT Plus and Enterprise". Archived from the original on November 20, 2023. Retrieved November 21, 2023.
  92. ^ a b c Metz, Cade (February 15, 2024). "OpenAI Unveils A.I. That Instantly Generates Eye-Popping Videos". The New York Times. Archived from the original on February 15, 2024. Retrieved February 16, 2024.
  93. ^ "Video generation models as world simulators". OpenAI. February 15, 2024. Archived from the original on February 16, 2024. Retrieved February 16, 2024.
  94. ^ a b c Brooks, Tim; Peebles, Bill; Holmes, Connor; DePue, Will; Guo, Yufei; Jing, Li; Schnurr, David; Taylor, Joe; Luhman, Troy; Luhman, Eric; Ng, Clarence Wing Yin; Wang, Ricky; Ramesh, Aditya (February 15, 2024). "Video generation models as world simulators". Openai.com. OpenAI. Archived from the original on February 16, 2024. Retrieved February 16, 2024.
  95. ^ Pequeño IV, Antonio (February 15, 2024). "OpenAI Reveals 'Sora': AI Video Model Capable Of Realistic Text-To-Video Prompts". Forbes. Archived from the original on February 15, 2024. Retrieved February 16, 2024.
  96. ^ Clark, Elijah. "Tyler Perry Warns Of AI Threat After Sora Debut Halts An $800 Million Studio Expansion". Forbes. Retrieved March 24, 2024.
  97. ^ Wiggers, Kyle (September 21, 2022). "OpenAI open-sources Whisper, a multilingual speech recognition system". TechCrunch. Archived from the original on February 12, 2023. Retrieved February 12, 2023.
  98. ^ Radford, Alec; Kim, Jong Wook; Xu, Tao; Brockman, Greg; McLeavey, Christine; Sutskever, Ilya (2022). "Robust Speech Recognition via Large-Scale Weak Supervision". arXiv:2212.04356 [eess.AS].
  99. ^ "OpenAI's MuseNet generates AI music at the push of a button". The Verge. April 2019. Archived from the original on June 28, 2019. Retrieved June 8, 2020.
  100. ^ "MuseNet". OpenAI. April 25, 2019. Archived from the original on June 13, 2020. Retrieved June 8, 2020.
  101. ^ "Arcade Attack Podcast – September (4 of 4) 2020 - Alex Hall (Ben Drowned) - Interview". Arcade Attack. September 28, 2020. Archived from the original on February 3, 2023. Retrieved January 29, 2023.
  102. ^ Alexander Hall (June 25, 2020). "Tweets don't have titles and do not archive". X (formerly Twitter). Archived from the original on February 3, 2023. Retrieved January 29, 2023.
  103. ^ "OpenAI introduces Jukebox, a new AI model that generates genre-specific music". The Verge. April 30, 2020. Archived from the original on June 8, 2020. Retrieved June 8, 2020.
  104. ^ Stephen, Bijan (April 30, 2020). "OpenAI introduces Jukebox, a new AI model that generates genre-specific music". Business Insider. Archived from the original on June 8, 2020. Retrieved June 8, 2020.
  105. ^ "Jukebox". OpenAI. April 30, 2020. Archived from the original on June 8, 2020. Retrieved June 8, 2020.
  106. ^ Greene, Tristan (May 4, 2018). "OpenAI's Debate Game teaches you and your friends how to lie like robots". The Next Web. Archived from the original on May 5, 2018. Retrieved May 31, 2018.
  107. ^ "Why Scientists Think AI Systems Should Debate Each Other". Fast Company. May 8, 2018. Archived from the original on May 19, 2018. Retrieved June 2, 2018.
  108. ^ "OpenAI Microscope". April 14, 2020. Archived from the original on February 3, 2023. Retrieved March 27, 2021.
  109. ^ Johnson, Khari (April 14, 2020). "OpenAI launches Microscope to visualize the neurons in popular machine learning models". VentureBeat. Archived from the original on February 12, 2023. Retrieved February 12, 2023.
  110. ^ "OpenAI Microscope". OpenAI Microscope. Archived from the original on February 3, 2023. Retrieved March 27, 2021.
  111. ^ "ChatGPT's image-generation feature gets an upgrade". TechCrunch. 2025-03-25. Retrieved 2025-06-12.
  112. ^ Milmo, Dan (December 2, 2023). "ChatGPT reaches 100 million users two months after launch". The Guardian. ISSN 0261-3077. Archived from the original on February 3, 2023. Retrieved February 3, 2023.
  113. ^ Sharma, Shubham (May 14, 2024). "With OpenAI offering GPT-4o for free, who should be paying for ChatGPT Plus?". VentureBeat. Archived from the original on May 21, 2024. Retrieved May 21, 2024.
  114. ^ Lawler, Richard (July 25, 2023). "ChatGPT for Android is now available". The Verge. Archived from the original on August 16, 2023. Retrieved August 17, 2023.
  115. ^ "OpenAI launches free 15-minute phone calls with ChatGPT". www.socialsamosa.com. 2024-12-20. Archived from the original on December 20, 2024. Retrieved 2024-12-20.
  116. ^ Field, Hayden (2024-12-18). "OpenAI makes ChatGPT available for phone calls and texts". CNBC. Archived from the original on December 20, 2024. Retrieved 2024-12-20.
  117. ^ Robison, Kylie (July 25, 2024). "OpenAI announces SearchGPT, its AI-powered search engine". The Verge. Archived from the original on July 26, 2024. Retrieved July 27, 2024.
  118. ^ Wiggers, Kyle (July 25, 2024). "With Google in its sights, OpenAI unveils SearchGPT". TechCrunch. Archived from the original on July 26, 2024. Retrieved July 26, 2024.
  119. ^ a b Bajwa, Arsheeya; Simao, Paul; Gregorio, David (March 29, 2024). "Microsoft, OpenAI plan $100 billion data-center project, media report says". Reuters. Archived from the original on June 20, 2024. Retrieved June 6, 2024.
  120. ^ "Microsoft and OpenAI Plot $100 Billion Stargate AI Supercomputer". The Information. March 29, 2024. Retrieved June 6, 2024.
  121. ^ "Stargate: Tech giants announce AI plan worth up to $500bn". BBC. 2025-01-22. Retrieved 2025-05-31.
  122. ^ a b "Sam and Jony introduce io". openai.com. Retrieved 2025-05-21.
  123. ^ Tatananni, Angela Palumbo|Mackenzie. "OpenAI to Buy iPhone Designer Jony Ive's AI Devices Start-Up for $6.4 Billion. Apple Stock Falls". barrons. Retrieved 2025-05-22.
  124. ^ Peters, Jay (2025-05-21). "OpenAI is buying Jony Ive's AI hardware company". The Verge. Retrieved 2025-05-22.
  125. ^ De Vynck, Gerrit (2025-05-21). "iPhone designer Jony Ive will join OpenAI to build AI-powered devices". Washington Post. Retrieved 2025-05-21.
Retrieved from "https://en.wikipedia.org/w/index.php?title=Products_and_applications_of_OpenAI&oldid=1295569910"