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OpenAI Sora In Action- Tokyo Walk
OpenAI, Inc. is an American artificial intelligence (AI) 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 (text-to-video model), Sora. Its release of ChatGPT in November 2022 has been credited with catalyzing widespread interest in generative AI. The organization has a complex corporate structure. As of April 2025, it is led by the Nonprofit organization, non-profit OpenAI, Inc., Delaware General Corporation Law, registered in Delaware, and has multiple for-profit subsidiaries including OpenAI Holdings, LLC and OpenAI Global, LLC. Microsoft has invested US$13 billion ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Chief Financial Officer
A chief financial officer (CFO) is an officer of a company or organization who is assigned the primary responsibility for making decisions for the company for projects and its finances; i.a.: financial planning, management of financial risks, record-keeping, and financial reporting, and, increasingly, the analysis of data. The CFO thus has ultimate authority over the finance unit and is the chief financial spokesperson for the organization. The CFO typically reports to the chief executive officer (CEO) and the board of directors and may additionally have a seat on the board. The CFO directly assists the chief operating officer (COO) on all business matters relating to budget management, cost–benefit analysis, forecasting needs, and securing of new funding. Some CFOs have the title CFOO for chief financial and operating officer. In the majority of countries, finance directors (FD) typically report into the CFO, and FD is the level before reaching CFO. Legal requirement The ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
OpenAI O1
OpenAI o1 is a reflective generative pre-trained transformer (GPT). A preview of o1 was released by OpenAI on September 12, 2024. o1 spends time "thinking" before it answers, making it better at complex reasoning tasks, science and programming than GPT-4o. The full version was released to ChatGPT users on December 5, 2024. History Background According to leaked information, o1 was formerly known within OpenAI as "Q*", and later as "Strawberry". The codename "Q*" first surfaced in November 2023, around the time of Sam Altman's ousting and subsequent reinstatement, with rumors suggesting that this experimental model had shown promising results on mathematical benchmarks. In July 2024, Reuters reported that OpenAI was developing a generative pre-trained transformer known as "Strawberry", which later became o1. Release "o1-preview" and "o1-mini" were released on September 12, 2024, for ChatGPT Plus and Team users. GitHub started testing the integration of o1-preview in its Copilot s ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Sora (text-to-video Model)
Sora is a text-to-video model developed by OpenAI. The model generates short video clips based on user prompts, and can also extend existing short videos. Sora was released publicly for ChatGPT Plus and ChatGPT Pro users in December 2024. History Several other text-to-video generating models had been created prior to Sora, including Meta's Make-A-Video, Runway's Gen-2, and Google's Lumiere, the last of which, is also still in its research phase. OpenAI, the company behind Sora, had released DALL·E 3, the third of its DALL-E text-to-image models, in September 2023. The team that developed Sora named it after the Japanese word for sky to signify its "limitless creative potential". On February 15, 2024, OpenAI first previewed Sora by releasing multiple clips of high-definition videos that it created, including an SUV driving down a mountain road, an animation of a "short fluffy monster" next to a candle, two people walking through Tokyo in the snow, and fake historical fo ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
SearchGPT
ChatGPT Search (originally SearchGPT) is a search engine developed by OpenAI. It combines traditional search engine features with generative pretrained transformers (GPT) to generate responses, including citations to external websites. History On July 25, 2024, SearchGPT was first introduced as a prototype in a limited release to 10,000 test users. This search feature positioned OpenAI as a direct competitor to major search engines, notably Google, Perplexity AI and Bing. OpenAI announced its partnership with publishers for SearchGPT, providing them with options on how their content appears in the search results and ensuring the promotion of trusted sources. On October 31, 2024, OpenAI launched ChatGPT Search to ChatGPT Plus and Team subscribers, and it was made available to free users in December 2024. OpenAI ultimately incorporated the search features into ChatGPT ChatGPT is a generative artificial intelligence chatbot developed by OpenAI and released on November 30, ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
ChatGPT
ChatGPT is a generative artificial intelligence chatbot developed by OpenAI and released on November 30, 2022. It uses large language models (LLMs) such as GPT-4o as well as other Multimodal learning, multimodal models to create human-like responses in text, speech, and images. It has access to features such as searching the web, using apps, and running programs. It is credited with accelerating the AI boom, an ongoing period of rapid investment in and public attention to the field of artificial intelligence (AI). Some observers have raised concern about the potential of ChatGPT and similar programs to displace human intelligence, enable plagiarism, or fuel misinformation. ChatGPT is built on OpenAI's proprietary series of generative pre-trained transformer (GPT) models and is Fine-tuning (machine learning), fine-tuned for conversational applications using a combination of supervised learning and reinforcement learning from human feedback. Successive user AI prompt, prompts an ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
OpenAI Codex
OpenAI Codex is an artificial intelligence model developed by OpenAI that translates natural language into code, a technology described by artificial intelligence researchers as an AI agent. It powers GitHub Copilot, an AI-based code autocompletion tool available in select IDEs such as Visual Studio Code and Neovim. On May 16, 2025, OpenAI announced the launch of a research preview of a distinct tool with a similar purpose, also named Codex, based on a finetuned version of OpenAI o3. Capabilities Based on GPT-3, a neural network trained on text, Codex was additionally trained on 159 gigabytes of Python code from 54 million GitHub repositories. A typical use case of Codex is for a user to type a comment, such as "//compute the moving average of an array for a given window size", then use the AI to suggest a block of code that satisfies that comment prompt. OpenAI stated that Codex can complete approximately 37% of requests and is meant to make human programming faster rather th ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
DALL·E
DALL-E, DALL-E 2, and DALL-E 3 (stylised DALL·E) are text-to-image models developed by OpenAI using deep learning methodologies to generate digital images from natural language descriptions known as ''prompts''. The first version of DALL-E was announced in January 2021. In the following year, its successor DALL-E 2 was released. DALL-E 3 was released natively into ChatGPT for ChatGPT Plus and ChatGPT Enterprise customers in October 2023, with availability via OpenAI's API and "Labs" platform provided in early November. Microsoft implemented the model in Bing's Image Creator tool and plans to implement it into their Designer app. With Bing's Image Creator tool, Microsoft Copilot runs on DALL-E 3. In March 2025, DALL-E-3 was replaced in ChatGPT by GPT Image 1's native image-generation capabilities. History and background DALL-E was revealed by OpenAI in a blog post on 5 January 2021, and uses a version of GPT-3 modified to generate images. On 6 April 2022, OpenAI announced ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
GPT-4o
GPT-4o ("o" for "omni") is a multilingual, multimodal generative pre-trained transformer developed by OpenAI and released in May 2024. It can process and generate text, images and audio. GPT-4o is free, but ChatGPT Plus subscribers have higher usage limits. GPT-4o's audio-generation capabilities were used in ChatGPT's Advanced Voice Mode. In OpenAI's application programming interface (API), GPT-4o is faster and cheaper than its predecessor, GPT-4 Turbo. On July 18, 2024, OpenAI released GPT-4o mini, a smaller version of GPT-4o which replaced GPT-3.5 Turbo on the ChatGPT interface. GPT-4o's ability to generate images was released later, in March 2025, when it replaced DALL-E 3 in ChatGPT. Background Multiple versions of GPT-4o were originally secretly launched under different names on Large Model Systems Organization's (LMSYS) Chatbot Arena as three different models. These three models were called gpt2-chatbot, im-a-good-gpt2-chatbot, and im-also-a-good-gpt2-chatbot. On 7 Ma ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
GPT-4
Generative Pre-trained Transformer 4 (GPT-4) is a multimodal large language model trained and created by OpenAI and the fourth in its series of GPT foundation models. It was launched on March 14, 2023, and made publicly available via the paid chatbot product ChatGPT Plus until being replaced in 2025, via OpenAI's API, and via the free chatbot Microsoft Copilot. GPT-4 is more capable than its predecessor GPT-3.5. GPT-4 Vision (GPT-4V) is a version of GPT-4 that can process images in addition to text. OpenAI has not revealed technical details and statistics about GPT-4, such as the precise size of the model. As a transformer-based model, GPT-4 uses a paradigm where pre-training using both public data and "data licensed from third-party providers" is used to predict the next token. After this step, the model was then fine-tuned with reinforcement learning feedback from humans and AI for human alignment and policy compliance. Background OpenAI introduced the fir ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
GPT-3
Generative Pre-trained Transformer 3 (GPT-3) is a large language model released by OpenAI in 2020. Like its predecessor, GPT-2, it is a decoder-only transformer model of deep neural network, which supersedes recurrence and convolution-based architectures with a technique known as "attention". This attention mechanism allows the model to focus selectively on segments of input text it predicts to be most relevant. GPT-3 has 175 billion parameters, each with 16-bit precision, requiring 350GB of storage since each parameter occupies 2 bytes. It has a context window size of 2048 tokens, and has demonstrated strong " zero-shot" and " few-shot" learning abilities on many tasks. On September 22, 2020, Microsoft announced that it had licensed GPT-3 exclusively. Others can still receive output from its public API, but only Microsoft has access to the underlying model. Background According to ''The Economist'', improved algorithms, more powerful computers, and a recent increase i ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
GPT-2
Generative Pre-trained Transformer 2 (GPT-2) is a large language model by OpenAI and the second in their foundational series of Generative pre-trained transformer, GPT models. GPT-2 was pre-trained on a dataset of 8 million web pages. It was partially released in February 2019, followed by full release of the 1.5-billion-parameter model on November 5, 2019. GPT-2 was created as a "direct scale-up" of GPT-1 with a ten-fold increase in both its parameter count and the size of its training dataset. It is a general-purpose learner and its ability to perform the various tasks was a consequence of its general ability to accurately predict the next item in a sequence, which enabled it to machine translation, translate texts, question answering, answer questions about a topic from a text, automatic summarization, summarize passages from a larger text, and natural language generation, generate text output on a level sometimes Turing test, indistinguishable from that of humans; however, it ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
