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Will Smith Eating Spaghetti Test
The Will Smith Eating Spaghetti test is an informal Benchmark (computing), benchmark within the artificial intelligence community, used to assess the capabilities of Text-to-video model, generative video models in rendering realistic Stimulus (physiology), human actions and Facial expression, facial expressions. Originating from a widely shared AI generated video in 2023, which depicted an unnaturally animated render of actor Will Smith eating spaghetti, the test has since been used as an informal reference point to demonstrate the capabilities and limitations of AI-generated video content. Origin On March 23, 2023, Reddit user "chaindrop" shared an AI-generated video titled "Will Smith eating spaghetti" on the subreddit r/StableDiffusion, created using ModelScope's text-to-video tool. The clip depicted a distorted and surreal version of actor Will Smith eating spaghetti. The video quickly gained attention for its uncanny visuals, with Smith's facial features morphing unpredictab ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Will Smith Eating Spaghetti Original
Will may refer to: Common meanings * Will and testament, instructions for the disposition of one's property after death * Will (philosophy), or willpower * Will (sociology) * Will, volition (psychology) * Will, a modal verb - see Shall and will People and fictional characters * Will (comics) (1927–2000), a comic strip artist * Will (given name), a list of people and fictional characters named Will or Wil * Will (surname) * Will (Brazilian footballer) (born 1973) * Will (singer), Italian singer-songwriter Arts, entertainment, and media Films * ''Will: G. Gordon Liddy'', a 1982 TV film * Will (1981 film), ''Will'' (1981 film), an American drama * Will (2011 film), ''Will'' (2011 film), a British sports drama * ''Will'', a Japanese documentary film featuring Masahiro Higashide * ''Bandslam'', a 2008 film with the working title ''Will'' Literature * Will (novel), ''Will'' (novel), by Christopher Rush * Will (Will Self memoir), ''Will'' (Will Self memoir), 2019 * Will (Will Smith ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Large Language Model
A large language model (LLM) is a language model trained with self-supervised machine learning on a vast amount of text, designed for natural language processing tasks, especially language generation. The largest and most capable LLMs are generative pretrained transformers (GPTs), which are largely used in generative chatbots such as ChatGPT or Gemini. LLMs can be fine-tuned for specific tasks or guided by prompt engineering. These models acquire predictive power regarding syntax, semantics, and ontologies inherent in human language corpora, but they also inherit inaccuracies and biases present in the data they are trained in. History Before the emergence of transformer-based models in 2017, some language models were considered large relative to the computational and data constraints of their time. In the early 1990s, IBM's statistical models pioneered word alignment techniques for machine translation, laying the groundwork for corpus-based language modeling. A sm ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Generative Adversarial Network
A generative adversarial network (GAN) is a class of machine learning frameworks and a prominent framework for approaching generative artificial intelligence. The concept was initially developed by Ian Goodfellow and his colleagues in June 2014. In a GAN, two neural networks compete with each other in the form of a zero-sum game, where one agent's gain is another agent's loss. Given a training set, this technique learns to generate new data with the same statistics as the training set. For example, a GAN trained on photographs can generate new photographs that look at least superficially authentic to human observers, having many realistic characteristics. Though originally proposed as a form of generative model for unsupervised learning, GANs have also proved useful for semi-supervised learning, fully supervised learning, and reinforcement learning. The core idea of a GAN is based on the "indirect" training through the discriminator, another neural network that can tell ho ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Human Image Synthesis
Human image synthesis is technology that can be applied to make believable and even photorealistic renditions of human-likenesses, moving or still. It has effectively existed since the early 2000s. Many films using computer generated imagery have featured synthetic images of human-like characters digitally composited onto the real or other simulated film material. Towards the end of the 2010s deep learning artificial intelligence has been applied to synthesize images and video that look like humans, without need for human assistance, once the training phase has been completed, whereas the old school 7D-route required massive amounts of human work . Timeline of human image synthesis * In 1971 Henri Gouraud made the first CG geometry capture and representation of a human face. Modeling was his wife Sylvie Gouraud. The 3D model was a simple wire-frame model and he applied the Gouraud shader he is most known for to produce the first known representation of human-likeness on ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Synthetic Media
Synthetic media (also known as AI-generated media, media produced by generative AI, personalized media, personalized content, and colloquially as deepfakes) is a catch-all term for the artificial production, manipulation, and modification of data and media by automation, automated means, especially through the use of artificial intelligence algorithms, such as for the purpose of producing automated content or producing cultural works (e.g. text, image, sound or video) within a set of human prompted parameters automatically. Synthetic media as a field has grown rapidly since the creation of generative adversarial networks, primarily through the rise of deepfakes as well as music synthesis, text generation, human image synthesis, speech synthesis, and more. Though experts use the term "synthetic media," individual methods such as deepfakes and text synthesis are sometimes not referred to as such by the media but instead by their respective terminology (and often use "deepfakes" as a ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Deepfake
''Deepfakes'' (a portmanteau of and ) are images, videos, or audio that have been edited or generated using artificial intelligence, AI-based tools or AV editing software. They may depict real or fictional people and are considered a form of synthetic media, that is media that is usually created by artificial intelligence systems by combining various media elements into a new media artifact. While the act of creating fake content is not new, deepfakes uniquely leverage machine learning and artificial intelligence techniques, including facial recognition algorithms and artificial neural networks such as variational autoencoders (VAEs) and generative adversarial networks (GANs). In turn, the field of image forensics develops techniques to detect manipulated images. Deepfakes have garnered widespread attention for their potential use in creating child sexual abuse material, celebrity pornographic videos, revenge porn, fake news, hoaxes, bullying, and financial fraud. Acade ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
AI Slop
"AI slop", often simply "slop", is a term for low-quality media, including writing and images, made using generative artificial intelligence technology, characterized by an inherent lack of effort, logic, or purpose. Coined in the 2020s, the term has a pejorative connotation akin to "Spamming, spam", and uses figurative language similarly, stemming from unwanted food. It has been variously defined as "digital clutter", "filler content produced by AI tools that prioritize speed and quantity over substance and quality", and "shoddy or unwanted AI content in social media, art, books and, increasingly, in search results." Jonathan Gilmore, a philosophy professor at the City University of New York, describes the material as having an "incredibly banal, realistic style" which is easy for the viewer to process. Origin of the term As early large language models (LLMs) and Diffusion model, image diffusion models accelerated the creation of high-volume but low-quality written content and ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Crunchiness
Crunchiness is the sensation of muffled grinding of a foodstuff. Crunchiness differs from crispness in that a crisp item is quickly atomized, while a crunchy one offers sustained, granular resistance to jaw action. While crispness is difficult to maintain, crunchiness is difficult to overcome. Crunchy foods are associated with freshness, particularly in vegetables. In bready foods, crunchiness can instead be associated with staleness. Other foods regularly associated with the sensation include nuts and sweets. Relationship to sound Crispness and crunchiness could each be "assessed on the basis of sound alone, on the basis of oral-tactile clues alone, or on the basis of a combination of auditory and oral-tactile information". An acoustic frequency of 1.9 kHz seems to mark the threshold between the two sensations, with crunchiness at frequencies below, and crispness at frequencies above. See also *Chewiness *Mouthfeel Mouthfeel refers to the physical sensations in ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Forbes
''Forbes'' () is an American business magazine founded by B. C. Forbes in 1917. It has been owned by the Hong Kong–based investment group Integrated Whale Media Investments since 2014. Its chairman and editor-in-chief is Steve Forbes. The company is headquartered in Jersey City, New Jersey. Sherry Phillips is the current CEO of Forbes as of January 1, 2025. Published eight times per year, ''Forbes'' feature articles on finance, industry, investing, and marketing topics. It also reports on related subjects such as technology, communications, science, politics, and law. It has an international edition in Asia as well as editions produced under license in 27 countries and regions worldwide. The magazine is known for its lists and rankings, including its lists of the richest Americans (the Forbes 400, ''Forbes'' 400), of 30 notable people under the age of 30 (the Forbes 30 Under 30, ''Forbes'' 30 under 30), of America's wealthiest celebrities, of the world's top companies (the Fo ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Synchronization (computer Science)
In computer science, synchronization is the task of coordinating multiple processes to join up or handshake at a certain point, in order to reach an agreement or commit to a certain sequence of action. Motivation The need for synchronization does not arise merely in multi-processor systems but for any kind of concurrent processes; even in single processor systems. Mentioned below are some of the main needs for synchronization: '' Forks and Joins:'' When a job arrives at a fork point, it is split into N sub-jobs which are then serviced by n tasks. After being serviced, each sub-job waits until all other sub-jobs are done processing. Then, they are joined again and leave the system. Thus, parallel programming requires synchronization as all the parallel processes wait for several other processes to occur. '' Producer-Consumer:'' In a producer-consumer relationship, the consumer process is dependent on the producer process until the necessary data has been produced. ''Exclusiv ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Veo 3
Veo is a text-to-video model developed by Google DeepMind and announced in May 2024. As a generative AI model, it creates videos based on user prompts. Veo 3, released in May 2025, can also generate accompanying audio. Development In May 2024, a multimodal video generation model called Veo was announced at Google I/O 2024. Google claimed that it could generate 1080p videos over a minute long. In December 2024, Google released Veo 2, available via VideoFX. It supports 4K resolution video generation and has an improved understanding of physics. In April 2025, Google announced that Veo 2 became available for advanced users on the Gemini app. In May 2025, Google released Veo 3, which not only generates videos but also creates synchronized audio — including dialogue, sound effects, and ambient noise — to match the visuals. Google also announced Flow, a video-creation tool powered by Veo and Imagen. A key innovation of the May 2025 release of Veo 3 was that it generated audio, ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Google
Google LLC (, ) is an American multinational corporation and technology company focusing on online advertising, search engine technology, cloud computing, computer software, quantum computing, e-commerce, consumer electronics, and artificial intelligence (AI). It has been referred to as "the most powerful company in the world" by the BBC and is one of the world's List of most valuable brands, most valuable brands. Google's parent company, Alphabet Inc., is one of the five Big Tech companies alongside Amazon (company), Amazon, Apple Inc., Apple, Meta Platforms, Meta, and Microsoft. Google was founded on September 4, 1998, by American computer scientists Larry Page and Sergey Brin. Together, they own about 14% of its publicly listed shares and control 56% of its stockholder voting power through super-voting stock. The company went public company, public via an initial public offering (IPO) in 2004. In 2015, Google was reorganized as a wholly owned subsidiary of Alphabet Inc. Go ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
