Sora (OpenAI)
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Sora (OpenAI)
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 foo ...
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OpenAI
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 ...
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Sam Altman
Samuel Harris Altman (born April 22, 1985) is an American technology entrepreneur, investor, and the chief executive officer of OpenAI since 2019 (he was Removal of Sam Altman from OpenAI, briefly dismissed and reinstated in November 2023). He is considered one of the leading figures of the AI boom. Altman dropped out of Stanford University after two years and founded Loopt, a mobile social networking service, raising more than $30million in venture capital. In 2011, Altman joined Y Combinator, a startup accelerator, and was its president from 2014 to 2019. He has served as Chair (officer), chairman of clean energy companies Helion Energy and Oklo Inc., Oklo (until April 2025). Altman's net worth was estimated at $1.8billion as of June 2025. Early life and education Altman was born on April 22, 1985, in Chicago, Illinois, into a Jewish family, and grew up in St. Louis, Missouri. His mother was a dermatologist, and his father a real estate broker. Altman is the eldest of four ...
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Data Augmentation
Data augmentation is a statistical technique which allows maximum likelihood estimation from incomplete data. Data augmentation has important applications in Bayesian analysis, and the technique is widely used in machine learning to reduce overfitting when training machine learning models, achieved by training models on several slightly-modified copies of existing data. Synthetic oversampling techniques for traditional machine learning Synthetic Minority Over-sampling Technique (SMOTE) is a method used to address imbalanced datasets in machine learning. In such datasets, the number of samples in different classes varies significantly, leading to biased model performance. For example, in a medical diagnosis dataset with 90 samples representing healthy individuals and only 10 samples representing individuals with a particular disease, traditional algorithms may struggle to accurately classify the minority class. SMOTE rebalances the dataset by generating synthetic samples for the ...
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Transformer (deep Learning Architecture)
The transformer is a deep learning architecture based on the multi-head attention mechanism, in which text is converted to numerical representations called tokens, and each token is converted into a vector via lookup from a word embedding table. At each layer, each token is then contextualized within the scope of the context window with other (unmasked) tokens via a parallel multi-head attention mechanism, allowing the signal for key tokens to be amplified and less important tokens to be diminished. Transformers have the advantage of having no recurrent units, therefore requiring less training time than earlier recurrent neural architectures (RNNs) such as long short-term memory (LSTM). Later variations have been widely adopted for training large language models (LLM) on large (language) datasets. The modern version of the transformer was proposed in the 2017 paper " Attention Is All You Need" by researchers at Google. Transformers were first developed as an improvement ov ...
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Diffusion Model
In machine learning, diffusion models, also known as diffusion-based generative models or score-based generative models, are a class of latent variable model, latent variable generative model, generative models. A diffusion model consists of two major components: the forward diffusion process, and the reverse sampling process. The goal of diffusion models is to learn a diffusion process for a given dataset, such that the process can generate new elements that are distributed similarly as the original dataset. A diffusion model models data as generated by a diffusion process, whereby a new datum performs a Wiener process, random walk with drift through the space of all possible data. A trained diffusion model can be sampled in many ways, with different efficiency and quality. There are various equivalent formalisms, including Markov chains, denoising diffusion probabilistic models, noise conditioned score networks, and stochastic differential equations. They are typically trained ...
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DALL-E 3
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 ...
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MIT Technology Review
''MIT Technology Review'' is a bimonthly magazine wholly owned by the Massachusetts Institute of Technology. It was founded in 1899 as ''The Technology Review'', and was re-launched without "''The''" in its name on April 23, 1998, under then publisher R. Bruce Journey. In September 2005, it was changed, under its then editor-in-chief and publisher, Jason Pontin, to a form resembling the historical magazine. Before the 1998 re-launch, the editor stated that "nothing will be left of the old magazine except the name." It was therefore necessary to distinguish between the modern and the historical ''Technology Review''. The historical magazine had been published by the MIT Alumni Association, was more closely aligned with the interests of MIT alumni, and had a more intellectual tone and much smaller public circulation. The magazine, billed from 1998 to 2005 as "MIT's Magazine of Innovation", and from 2005 onwards as simply "published by MIT", focused on new technology and how it is ...
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Adversarial Machine Learning
Adversarial machine learning is the study of the attacks on machine learning algorithms, and of the defenses against such attacks. A survey from May 2020 revealed practitioners' common feeling for better protection of machine learning systems in industrial applications. Machine learning techniques are mostly designed to work on specific problem sets, under the assumption that the training and test data are generated from the same statistical distribution ( IID). However, this assumption is often dangerously violated in practical high-stake applications, where users may intentionally supply fabricated data that violates the statistical assumption. Most common attacks in adversarial machine learning include evasion attacks, data poisoning attacks, Byzantine attacks and model extraction. History At the MIT Spam Conference in January 2004, John Graham-Cumming showed that a machine-learning spam filter could be used to defeat another machine-learning spam filter by automatically ...
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Red Team
A red team is a group that simulates an adversary, attempts a physical or digital intrusion against an organization at the direction of that organization, then reports back so that the organization can improve their defenses. Red teams work for the organization or are hired by the organization. Their work is legal, but it can surprise some employees who may not know that red teaming is occurring, or who may be deceived by the red team. Some definitions of red team are broader, and they include any group within an organization that is directed to think outside the box and look at alternative scenarios that are considered less plausible. This directive can be an important defense against false assumptions and groupthink. The term ''red teaming'' originated in the 1960s in the United States. Technical red teaming focuses on compromising networks and computers digitally. There may also be a Blue team (computer security), blue team, a term for cybersecurity employees who are respons ...
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Variety (magazine)
''Variety'' is an American trade magazine owned by Penske Media Corporation. It was founded by Sime Silverman in New York City in 1905 as a weekly newspaper reporting on theater and vaudeville. In 1933, ''Daily Variety'' was launched, based in Los Angeles, to cover the film industry, motion-picture industry. ''Variety'' website features entertainment news, reviews, box office results, plus a credits database, production charts and film calendar. History Founding ''Variety'' has been published since December 16, 1905, when it was launched by Sime Silverman as a weekly periodical covering theater and vaudeville, with its headquarters in New York City. Silverman had been fired by ''The Morning Telegraph'' in 1905 for panning an act which had taken out an advert for $50. He subsequently decided to start his own publication that, he said, would "not be influenced by advertising." With a loan of $1,500 from his father-in-law, he launched ''Variety'' as publisher and editor. In additi ...
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Artwashing
Artwashing is the use of art and artists in a positive way to distract from or legitimize negative actions by an individual, organization, country, or government—especially in reference to gentrification. Etymology With a structure similar to terms such as greenwashing, pinkwashing, sportswashing, and purplewashing, it is a portmanteau of the words "art" and "whitewashing". The term was coined in the 2017 protests against gentrification in the Boyle Heights neighborhood of Los Angeles. Examples Hunter Biden Robert Hunter Biden (born February4, 1970) is an American attorney and businessman. He is the second son of former president Joe Biden and his first wife, Neilia Hunter Biden. Hunter Biden was a founding board member of BHR Partners, a Chine ... was accused of this in the 2020s. References Corruption Gentrification Cover-ups Art 2017 neologisms {{ethics-stub Biden administration controversies Hunter Biden ...
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