Generative Artificial Intelligence

Improvements in transformer-based deep neural networks, particularly big language designs (LLMs), allowed an AI boom of generative AI systems in the early 2020s. These consist of chatbots such as ChatGPT, Copilot, Gemini, and LLaMA; text-to-image expert system image generation systems such as Stable Diffusion, Midjourney, and DALL-E; and text-to-video AI generators such as Sora. [9] [10] [11] [12] Companies such as OpenAI, Anthropic, Microsoft, Google, and Baidu as well as various smaller sized companies have developed generative AI models. [7] [13] [14]

Generative AI has uses across a large range of industries, consisting of software application development, health care, financing, entertainment, customer support, [15] sales and marketing, [16] art, writing, [17] style, [18] and product design. [19] However, concerns have been raised about the prospective abuse of generative AI such as cybercrime, using fake news or deepfakes to deceive or control individuals, and the mass replacement of human tasks. [20] [21] Intellectual property law issues also exist around generative models that are trained on and replicate copyrighted masterpieces. [22]

Early history

Since its creation, researchers in the field have raised philosophical and ethical arguments about the nature of the human mind and the repercussions of developing synthetic beings with human-like intelligence; these concerns have formerly been explored by myth, fiction and viewpoint because antiquity. [23] The idea of automated art dates back a minimum of to the robot of ancient Greek civilization, where developers such as Daedalus and Hero of Alexandria were explained as having developed machines capable of composing text, producing sounds, and playing music. [24] [25] The custom of creative automations has flourished throughout history, exhibited by Maillardet’s robot developed in the early 1800s. [26] Markov chains have long been used to design natural languages because their advancement by Russian mathematician Andrey Markov in the early 20th century. Markov released his very first paper on the subject in 1906, [27] [28] and analyzed the pattern of vowels and consonants in the unique Eugeny Onegin utilizing Markov chains. Once a Markov chain is found out on a text corpus, it can then be used as a probabilistic text generator. [29] [30]

Academic synthetic intelligence

The scholastic discipline of expert system was developed at a research study workshop held at Dartmouth College in 1956 and has actually experienced numerous waves of improvement and optimism in the decades since. [31] Expert system research study began in the 1950s with works like Computing Machinery and Intelligence (1950) and the 1956 Dartmouth Summer Research Project on AI. Since the 1950s, artists and researchers have actually used expert system to produce artistic works. By the early 1970s, Harold Cohen was creating and exhibiting generative AI works produced by AARON, the computer program Cohen produced to generate paintings. [32]

The terms generative AI planning or generative preparation were utilized in the 1980s and 1990s to describe AI planning systems, especially computer-aided procedure planning, used to generate series of actions to reach a defined objective. [33] [34] Generative AI preparation systems used symbolic AI methods such as state area search and restraint fulfillment and were a « fairly fully grown » innovation by the early 1990s. They were used to create crisis action plans for military usage, [35] process plans for making [33] and decision plans such as in prototype autonomous spacecraft. [36]

Generative neural webs (2014-2019)

Since its inception, the field of machine knowing used both discriminative models and generative models, to model and anticipate information. Beginning in the late 2000s, the introduction of deep learning drove development and research in image category, speech acknowledgment, natural language processing and other tasks. Neural networks in this age were usually trained as discriminative designs, due to the problem of generative modeling. [37]

In 2014, improvements such as the variational autoencoder and generative adversarial network produced the first practical deep neural networks capable of discovering generative designs, as opposed to discriminative ones, for complicated information such as images. These deep generative models were the very first to output not only class labels for images however likewise whole images.

In 2017, the Transformer network enabled developments in generative models compared to older Long-Short Term Memory designs, [38] leading to the first generative pre-trained transformer (GPT), called GPT-1, in 2018. [39] This was followed in 2019 by GPT-2 which showed the capability to generalize unsupervised to numerous different tasks as a Structure design. [40]

The brand-new generative models introduced during this period enabled large neural networks to be trained utilizing not being watched knowing or semi-supervised learning, rather than the monitored learning common of discriminative models. Unsupervised knowing removed the requirement for human beings to manually label data, permitting for bigger networks to be trained. [41]

Generative AI boom (2020-)

In March 2020, 15. ai, created by a confidential MIT scientist, was a complimentary web application that might produce convincing character voices using very little training data. [42] The platform is credited as the very first mainstream service to promote AI voice cloning (audio deepfakes) in memes and content creation, influencing subsequent developments in voice AI innovation. [43] [44]

In 2021, the development of DALL-E, a transformer-based pixel generative model, marked an advance in AI-generated images. [45] This was followed by the releases of Midjourney and Stable Diffusion in 2022, which further democratized access to premium expert system art production from natural language triggers. [46] These systems demonstrated unmatched abilities in producing photorealistic images, artwork, and creates based upon text descriptions, leading to prevalent adoption amongst artists, designers, and the public.

In late 2022, the general public release of ChatGPT reinvented the availability and application of generative AI for general-purpose text-based tasks. [47] The system’s ability to engage in natural conversations, create creative material, help with coding, and perform various analytical tasks caught global attention and sparked prevalent conversation about AI’s potential influence on work, education, and imagination. [48]

In March 2023, GPT-4’s release represented another jump in generative AI capabilities. A group from Microsoft Research controversially argued that it « might reasonably be seen as an early (yet still incomplete) variation of an artificial basic intelligence (AGI) system. » [49] However, this assessment was objected to by other scholars who maintained that generative AI remained « still far from reaching the standard of ‘basic human intelligence' » as of 2023. [50] Later in 2023, Meta launched ImageBind, an AI model combining numerous modalities consisting of text, images, video, thermal data, 3D information, audio, and motion, leading the way for more immersive generative AI applications. [51]

In December 2023, Google unveiled Gemini, a multimodal AI design available in four variations: Ultra, Pro, Flash, and Nano. [52] The business integrated Gemini Pro into its Bard chatbot and announced strategies for « Bard Advanced » powered by the bigger Gemini Ultra model. [53] In February 2024, Google unified Bard and Duet AI under the Gemini brand, releasing a mobile app on Android and incorporating the service into the Google app on iOS. [54]

In March 2024, Anthropic released the Claude 3 family of big language designs, consisting of Claude 3 Haiku, Sonnet, and Opus. [55] The models demonstrated substantial enhancements in capabilities throughout various benchmarks, with Claude 3 Opus significantly outperforming leading models from OpenAI and Google. [56] In June 2024, Anthropic launched Claude 3.5 Sonnet, which showed enhanced performance compared to the bigger Claude 3 Opus, especially in locations such as coding, multistep workflows, and image analysis. [57]

According to a survey by SAS and Coleman Parkes Research, China has actually emerged as a global leader in generative AI adoption, with 83% of Chinese participants using the technology, going beyond both the worldwide average of 54% and the U.S. rate of 65%. This management is more evidenced by China’s copyright advancements in the field, with a UN report revealing that Chinese entities filed over 38,000 generative AI patents from 2014 to 2023, significantly going beyond the United States in patent applications. [58]

Modalities

A generative AI system is built by applying unsupervised artificial intelligence (invoking for example neural network architectures such as generative adversarial networks (GANs), variation autoencoders (VAEs), transformers, or self-supervised machine learning trained on a dataset. The capabilities of a generative AI system depend upon the technique or kind of the data set used. Generative AI can be either unimodal or multimodal; unimodal systems take just one type of input, whereas multimodal systems can take more than one kind of input. [59] For example, one variation of OpenAI’s GPT-4 accepts both text and image inputs. [60]

Text

Generative AI systems trained on words or word tokens include GPT-3, GPT-4, GPT-4o, LaMDA, LLaMA, BLOOM, Gemini and others (see List of large language models). They are capable of natural language processing, machine translation, and natural language generation and can be used as structure designs for other jobs. [62] Data sets include BookCorpus, Wikipedia, and others (see List of text corpora).

Code

In addition to natural language text, big language models can be trained on programming language text, allowing them to generate source code for brand-new computer programs. [63] Examples include OpenAI Codex and the VS Code fork Cursor. [64]

Images

Producing top quality visual art is a popular application of generative AI. [65] Generative AI systems trained on sets of images with text captions consist of Imagen, DALL-E, Midjourney, Adobe Firefly, FLUX.1, Stable Diffusion and others (see Expert system art, Generative art, and Synthetic media). They are frequently utilized for text-to-image generation and neural design transfer. [66] Datasets consist of LAION-5B and others (see List of datasets in computer vision and image processing).

Audio

Generative AI can likewise be trained thoroughly on audio clips to produce natural-sounding speech synthesis and text-to-speech capabilities. An early pioneer in this field was 15. ai, introduced in March 2020, which demonstrated the ability to clone character voices using just 15 seconds of training data. [67] The website gained widespread attention for its capability to create emotionally expressive speech for numerous fictional characters, though it was later on taken offline in 2022 due to copyright concerns. [68] [69] [70] Commercial options subsequently emerged, including ElevenLabs’ context-aware synthesis tools and Meta Platform’s Voicebox. [71]

Generative AI systems such as MusicLM [72] and MusicGen [73] can likewise be trained on the audio waveforms of recorded music in addition to text annotations, in order to create brand-new musical samples based upon text descriptions such as a relaxing violin melody backed by a distorted guitar riff.

Music

Audio deepfakes of lyrics have been generated, like the song Savages, which used AI to imitate rapper Jay-Z’s vocals. Music artist’s instrumentals and lyrics are copyrighted but their voices aren’t protected from regenerative AI yet, raising a dispute about whether artists should get royalties from audio deepfakes. [74]

Many AI music generators have actually been developed that can be produced using a text expression, genre choices, and looped libraries of bars and riffs. [75]

Video

Generative AI trained on annotated video can create temporally-coherent, comprehensive and photorealistic video. Examples include Sora by OpenAI, [12] Gen-1 and Gen-2 by Runway, [76] and Make-A-Video by Meta Platforms. [77]

Actions

Generative AI can likewise be trained on the movements of a robotic system to produce brand-new trajectories for movement preparation or navigation. For example, UniPi from Google Research uses triggers like « get blue bowl » or « wipe plate with yellow sponge » to control motions of a robot arm. [78] Multimodal « vision-language-action » models such as Google’s RT-2 can carry out primary thinking in reaction to user triggers and visual input, such as getting a toy dinosaur when given the timely choice up the extinct animal at a table filled with toy animals and other items. [79]

3D modeling

Artificially smart computer-aided style (CAD) can utilize text-to-3D, image-to-3D, and video-to-3D to automate 3D modeling. [80] AI-based CAD libraries might also be established utilizing connected open information of schematics and diagrams. [81] AI CAD assistants are used as tools to help streamline workflow. [82]

Software and hardware

Generative AI designs are utilized to power chatbot products such as ChatGPT, programs tools such as GitHub Copilot, [83] text-to-image items such as Midjourney, and text-to-video items such as Runway Gen-2. [84] Generative AI functions have been incorporated into a range of existing commercially readily available items such as Microsoft Office (Microsoft Copilot), [85] Google Photos, [86] and the Adobe Suite (Adobe Firefly). [87] Many generative AI models are likewise offered as open-source software, consisting of Stable Diffusion and the LLaMA [88] language model.

Smaller generative AI designs with up to a couple of billion criteria can run on mobile phones, embedded devices, and computers. For example, LLaMA-7B (a version with 7 billion criteria) can run on a Raspberry Pi 4 [89] and one version of Stable Diffusion can run on an iPhone 11. [90]

Larger designs with tens of billions of criteria can work on laptop computer or desktop. To attain an acceptable speed, designs of this size may require accelerators such as the GPU chips produced by NVIDIA and AMD or the Neural Engine included in Apple silicon items. For instance, the 65 billion specification variation of LLaMA can be configured to operate on a desktop PC. [91]

The benefits of running generative AI in your area include defense of privacy and intellectual residential or commercial property, and avoidance of rate limiting and censorship. The subreddit r/LocalLLaMA in particular concentrates on using consumer-grade video gaming graphics cards [92] through such strategies as compression. That online forum is one of just two sources Andrej Karpathy trusts for language design standards. [93] Yann LeCun has promoted open-source designs for their value to vertical applications [94] and for improving AI security. [95]

Language designs with numerous billions of specifications, such as GPT-4 or PaLM, normally work on datacenter computers equipped with varieties of GPUs (such as NVIDIA’s H100) or AI accelerator chips (such as Google’s TPU). These huge designs are generally accessed as cloud services over the Internet.

In 2022, the United States New Export Controls on Advanced Computing and Semiconductors to China imposed constraints on exports to China of GPU and AI accelerator chips used for generative AI. [96] Chips such as the NVIDIA A800 [97] and the Biren Technology BR104 [98] were developed to meet the requirements of the sanctions.

There is free software application on the market capable of acknowledging text generated by generative artificial intelligence (such as GPTZero), in addition to images, audio or video coming from it. [99] Potential mitigation methods for finding generative AI material include digital watermarking, material authentication, information retrieval, and artificial intelligence classifier models. [100] Despite claims of accuracy, both free and paid AI text detectors have frequently produced incorrect positives, erroneously implicating trainees of sending AI-generated work. [101] [102]

Law and policy

In the United States, a group of business including OpenAI, Alphabet, and Meta signed a voluntary arrangement with the Biden administration in July 2023 to watermark AI-generated material. [103] In October 2023, Executive Order 14110 applied the Defense Production Act to need all US companies to report info to the federal government when training particular high-impact AI designs. [104] [105]

In the European Union, the proposed Expert system Act includes requirements to reveal copyrighted material used to train generative AI systems, and to identify any AI-generated output as such. [106] [107]

In China, the Interim Measures for the Management of Generative AI Services presented by the Cyberspace Administration of China manages any public-facing generative AI. It consists of requirements to watermark created images or videos, guidelines on training information and label quality, restrictions on individual data collection, and a standard that generative AI must « adhere to socialist core values ». [108] [109]

Copyright

Training with copyrighted material

Generative AI systems such as ChatGPT and Midjourney are trained on big, publicly readily available datasets that consist of copyrighted works. AI developers have argued that such training is safeguarded under fair use, while copyright holders have actually argued that it infringes their rights. [110]

Proponents of fair use training have argued that it is a transformative usage and does not include making copies of copyrighted works offered to the public. [110] Critics have argued that image generators such as Midjourney can develop nearly-identical copies of some copyrighted images, [111] which generative AI programs contend with the material they are trained on. [112]

As of 2024, several suits related to making use of copyrighted product in training are ongoing. Getty Images has taken legal action against Stability AI over using its images to train Stable diffusion. [113] Both the Authors Guild and The New York City Times have actually sued Microsoft and OpenAI over making use of their works to train ChatGPT. [114] [115]

Copyright of AI-generated content

A separate concern is whether AI-generated works can receive copyright protection. The United States Copyright Office has actually ruled that works produced by synthetic intelligence without any human input can not be copyrighted, due to the fact that they do not have human authorship. [116] However, the workplace has actually likewise started taking public input to determine if these guidelines need to be improved for generative AI. [117]

Concerns

The development of generative AI has actually raised issues from governments, companies, and people, resulting in protests, legal actions, contacts us to pause AI experiments, and actions by numerous federal governments. In a July 2023 rundown of the United Nations Security Council, Secretary-General António Guterres mentioned « Generative AI has huge potential for great and wicked at scale », that AI might « turbocharge international development » and contribute between $10 and $15 trillion to the worldwide economy by 2030, however that its harmful use « could cause horrific levels of death and damage, widespread injury, and deep psychological damage on an unthinkable scale ». [118]

Job losses

From the early days of the advancement of AI, there have been arguments advanced by ELIZA creator Joseph Weizenbaum and others about whether tasks that can be done by computers in fact must be done by them, given the distinction between computer systems and people, and between quantitative computations and qualitative, value-based judgements. [120] In April 2023, it was reported that image generation AI has actually resulted in 70% of the jobs for computer game illustrators in China being lost. [121] [122] In July 2023, advancements in generative AI contributed to the 2023 Hollywood labor conflicts. Fran Drescher, president of the Screen Actors Guild, declared that « expert system positions an existential risk to imaginative occupations » during the 2023 SAG-AFTRA strike. [123] Voice generation AI has actually been viewed as a possible obstacle to the voice acting sector. [124] [125]

The crossway of AI and work issues among underrepresented groups globally remains a vital facet. While AI promises performance improvements and skill acquisition, concerns about task displacement and biased recruiting procedures persist amongst these groups, as outlined in studies by Fast Company. To utilize AI for a more equitable society, proactive steps encompass mitigating predispositions, promoting transparency, respecting personal privacy and approval, and accepting diverse teams and ethical factors to consider. Strategies include redirecting policy emphasis on policy, inclusive style, and education’s potential for individualized teaching to make the most of benefits while minimizing harms. [126]

Racial and gender bias

Generative AI designs can reflect and amplify any cultural bias present in the underlying information. For instance, a language design may assume that doctors and judges are male, which secretaries or nurses are female, if those predispositions prevail in the training data. [127] Similarly, an image model triggered with the text « a picture of a CEO » may disproportionately create images of white male CEOs, [128] if trained on a racially prejudiced information set. A number of techniques for reducing predisposition have actually been tried, such as altering input prompts [129] and reweighting training information. [130]

Deepfakes

Deepfakes (a portmanteau of « deep knowing » and « phony » [131] are AI-generated media that take an individual in an existing image or video and replace them with somebody else’s likeness utilizing synthetic neural networks. [132] Deepfakes have gathered extensive attention and issues for their usages in deepfake celebrity adult videos, revenge pornography, phony news, scams, health disinformation, financial fraud, and covert foreign election disturbance. [133] [134] [135] [136] [137] [138] [139] This has generated responses from both industry and government to spot and restrict their usage. [140] [141]

In July 2023, the fact-checking business Logically found that the popular generative AI designs Midjourney, DALL-E 2 and Stable Diffusion would produce possible disinformation images when prompted to do so, such as images of electoral scams in the United States and Muslim females supporting India’s Hindu nationalist Bharatiya Janata Party. [142] [143]

In April 2024, a paper proposed to utilize blockchain (dispersed ledger innovation) to promote « transparency, verifiability, and decentralization in AI development and usage ». [144]

Audio deepfakes

Instances of users abusing software to generate controversial statements in the singing style of stars, public authorities, and other well-known people have raised ethical concerns over voice generation AI. [145] [146] [147] [148] [149] [150] In reaction, business such as ElevenLabs have actually specified that they would deal with mitigating possible abuse through safeguards and identity confirmation. [151]

Concerns and fandoms have spawned from AI-generated music. The same software application utilized to clone voices has been utilized on popular musicians’ voices to create tunes that simulate their voices, acquiring both tremendous appeal and criticism. [152] [153] [154] Similar techniques have also been used to create enhanced quality or full-length variations of songs that have actually been leaked or have yet to be released. [155]

Generative AI has also been used to produce brand-new digital artist characters, with some of these receiving sufficient attention to receive record deals at significant labels. [156] The designers of these virtual artists have actually likewise faced their fair share of criticism for their personified programs, consisting of backlash for « dehumanizing » an artform, and likewise developing artists which develop unrealistic or immoral interest their audiences. [157]

Cybercrime

Generative AI’s ability to produce practical fake material has actually been exploited in numerous kinds of cybercrime, consisting of phishing rip-offs. [158] Deepfake video and audio have actually been utilized to produce disinformation and fraud. In 2020, former Google click scams czar Shuman Ghosemajumder argued that once deepfake videos end up being completely realistic, they would stop appearing amazing to viewers, potentially leading to uncritical acceptance of false information. [159] Additionally, big language designs and other forms of text-generation AI have been utilized to develop phony reviews of e-commerce websites to improve scores. [160] Cybercriminals have actually developed big language designs focused on scams, consisting of WormGPT and FraudGPT. [161]

A 2023 study revealed that generative AI can be vulnerable to jailbreaks, reverse psychology and prompt injection attacks, allowing opponents to get aid with hazardous demands, such as for crafting social engineering and phishing attacks. [162] Additionally, other researchers have demonstrated that open-source models can be fine-tuned to eliminate their security constraints at low cost. [163]

Reliance on industry giants

Training frontier AI models requires a massive quantity of computing power. Usually only Big Tech business have the funds to make such investments. Smaller start-ups such as Cohere and OpenAI end up buying access to information centers from Google and Microsoft respectively. [164]

Energy and environment

Scientists and journalists have expressed issues about the ecological effect that the development and release of generative designs are having: high CO2 emissions, [165] [166] [167] large quantities of freshwater used for information centers, [168] [169] and high amounts of electrical power usage. [170] [166] [171] There is also concern that these impacts may increase as these models are included into widely used search engines such as Google Search and Bing; [170] as chatbots and other applications end up being more popular; [170] [169] and as designs need to be retrained. [170]

Proposed mitigation methods consist of factoring potential environmental expenses prior to design development or information collection, [165] increasing effectiveness of data centers to reduce electricity/energy use, [168] [170] [166] [169] [171] [167] constructing more efficient machine learning designs, [168] [166] [169] minimizing the variety of times that models need to be retrained, [167] establishing a government-directed framework for auditing the environmental impact of these models, [168] [167] controling for transparency of these designs, [167] controling their energy and water usage, [168] motivating scientists to publish data on their designs’ carbon footprint, [170] [167] and increasing the variety of subject professionals who understand both device learning and environment science. [167]

Content quality

The New york city Times specifies slop as analogous to spam: « shoddy or undesirable A.I. material in social networks, art, books and … in search outcomes. » [172] Journalists have expressed issues about the scale of low-quality produced material with respect to social networks content moderation, [173] the financial incentives from social networks companies to spread out such content, [173] [174] incorrect political messaging, [174] spamming of clinical research paper submissions, [175] increased time and effort to discover higher quality or desired material on the Internet, [176] the indexing of generated content by search engines, [177] and on journalism itself. [178]

A paper published by researchers at Amazon Web Services AI Labs discovered that over 57% of sentences from a sample of over 6 billion sentences from Common Crawl, a photo of web pages, were maker equated. A number of these automated translations were viewed as lower quality, specifically for sentences that were translated across at least three languages. Many lower-resource languages (ex. Wolof, Xhosa) were equated across more languages than higher-resource languages (ex. English, French). [179] [180]

In September 2024, Robyn Speer, the author of wordfreq, an open source database that determined word frequencies based upon text from the Internet, announced that she had stopped updating the data for numerous reasons: high costs for getting data from Reddit and Twitter, excessive concentrate on generative AI compared to other approaches in the natural language processing community, and that « generative AI has contaminated the information ». [181]

The adoption of generative AI tools led to an explosion of AI-generated content across multiple domains. A study from University College London estimated that in 2023, more than 60,000 academic articles-over 1% of all publications-were most likely written with LLM help. [182] According to Stanford University’s Institute for Human-Centered AI, around 17.5% of newly released computer technology papers and 16.9% of peer evaluation text now incorporate content produced by LLMs. [183]

Visual content follows a comparable trend. Since the launch of DALL-E 2 in 2022, it is approximated that approximately 34 million images have actually been produced daily. As of August 2023, more than 15 billion images had been generated using text-to-image algorithms, with 80% of these produced by models based on Stable Diffusion. [184]

If AI-generated material is consisted of in brand-new information crawls from the Internet for additional training of AI models, problems in the resulting models might happen. [185] Training an AI model solely on the output of another AI design produces a lower-quality model. Repeating this procedure, where each brand-new design is trained on the previous design’s output, results in progressive deterioration and ultimately leads to a « design collapse » after multiple iterations. [186] Tests have actually been conducted with pattern recognition of handwritten letters and with images of human faces. [187] As a repercussion, the worth of information gathered from real human interactions with systems may become increasingly important in the existence of LLM-generated content in data crawled from the Internet.

On the other side, artificial information is often used as an alternative to information produced by real-world occasions. Such information can be released to confirm mathematical models and to train maker knowing designs while preserving user privacy, [188] including for structured information. [189] The method is not restricted to text generation; image generation has been utilized to train computer vision models. [190]

Misuse in journalism

In January 2023, Futurism.com broke the story that CNET had been using an undisclosed internal AI tool to write at least 77 of its stories; after the news broke, CNET posted corrections to 41 of the stories. [191]

In April 2023, the German tabloid Die Aktuelle released a fake AI-generated interview with former racing motorist Michael Schumacher, who had not made any public appearances since 2013 after sustaining a brain injury in a skiing mishap. The story included 2 possible disclosures: the cover consisted of the line « stealthily genuine », and the interview consisted of an acknowledgment at the end that it was AI-generated. The editor-in-chief was fired shortly afterwards amidst the controversy. [192]

Other outlets that have actually published posts whose material and/or byline have been validated or thought to be produced by generative AI models – frequently with incorrect content, errors, and/or non-disclosure of generative AI usage – include:

– NewsBreak [193] [194]- outlets owned by Arena Group Sports Illustrated [195] TheStreet [195] Men’s Journal [196]
The Columbus Dispatch [198] [199] Reviewed [200] USA Today [201]
Gizmodo [205] Jalopnik [205] A.V. Club [205] [206] Quartz [207]
Bankrate [209]
Yoga Journal [201] Backpacker [201] Clean Eating [201]
Miami Herald [201] Sacramento Bee [201] Tacoma News Tribune [201] The Rock Hill Herald [201] The Modesto Bee [201] Fort Worth Star-Telegram [201] Merced Sun-Star [201] Ledger-Enquirer [201] The Kansas City Star [201] Raleigh News & Observer [217]
PC Magazine [201] Mashable [201] AskMen [201]
Good Housekeeping [201]
People [201] Parents [201] Food & Wine [201] InStyle [201] Real Simple [201] Travel + Leisure [201] Better Homes & Gardens [201] Southern Living [201]
LA Weekly [218] The Village Voice [218]

In May 2024, Futurism noted that a content management system video by AdVon Commerce, who had utilized generative AI to produce short articles for a number of the previously mentioned outlets, appeared to reveal that they « had produced tens of thousands of articles for more than 150 publishers. » [201]

News broadcasters in Kuwait, Greece, South Korea, India, China and Taiwan have actually provided news with anchors based on Generative AI models, triggering issues about task losses for human anchors and audience trust in news that has actually traditionally been influenced by parasocial relationships with broadcasters, content creators or social media influencers. [220] [221] [222] Algorithmically created anchors have likewise been utilized by allies of ISIS for their broadcasts. [223]

In 2023, Google supposedly pitched a tool to news outlets that claimed to « produce news stories » based on input information provided, such as « details of existing events ». Some news business executives who saw the pitch described it as » [taking] for granted the effort that entered into producing precise and artful news stories. » [224]

In February 2024, Google launched a program to pay little publishers to compose 3 posts daily utilizing a beta generative AI model. The program does not need the understanding or consent of the websites that the publishers are utilizing as sources, nor does it need the released posts to be identified as being produced or assisted by these designs. [225]

Many defunct news sites (The Hairpin, The Frisky, Apple Daily, Ashland Daily Tidings, Clayton County Register, Southwest Journal) and blogs (The Unofficial Apple Weblog, iLounge) have actually gone through cybersquatting, with short articles created by generative AI. [226] [227] [228] [229] [230] [231] [232] [233]

United States Senators Richard Blumenthal and Amy Klobuchar have actually expressed concern that generative AI could have a hazardous effect on regional news. [234] In July 2023, OpenAI partnered with the American Journalism Project to money local news outlets for explore generative AI, with Axios noting the possibility of generative AI business creating a reliance for these news outlets. [235]

Meta AI, a chatbot based on Llama 3 which summarizes newspaper article, was kept in mind by The Washington Post to copy sentences from those stories without direct attribution and to potentially further decrease the traffic of online news outlets. [236]

In reaction to potential pitfalls around the use and abuse of generative AI in journalism and concerns about decreasing audience trust, outlets around the globe, consisting of publications such as Wired, Associated Press, The Quint, Rappler or The Guardian have released standards around how they prepare to utilize and not use AI and generative AI in their work. [237] [238] [239] [240]

In June 2024, Reuters Institute released their Digital New Report for 2024. In a study of people in America and Europe, Reuters Institute reports that 52% and 47% respectively are unpleasant with news produced by « primarily AI with some human oversight », and 23% and 15% respectively report being comfy. 42% of Americans and 33% of Europeans reported that they were comfy with news produced by « primarily human with some aid from AI ». The results of worldwide studies reported that individuals were more uncomfortable with news topics including politics (46%), crime (43%), and local news (37%) produced by AI than other news subjects. [241]

Computer shows website

Technology website

Artificial general intelligence – Kind of AI with wide-ranging capabilities
Artificial creativity – Artificial simulation of human imagination
Expert system art – Visual media created with AI
Artificial life – Field of research study
Chatbot – Program that replicates conversation
Computational creativity – Multidisciplinary endeavour
Generative adversarial network – Deep learning method
Generative pre-trained transformer – Type of large language design
Large language design – Type of device knowing design
Music and artificial intelligence – Usage of expert system to generate music
Generative AI pornography – Explicit product produced by generative AI
Procedural generation – Method in which data is produced algorithmically instead of manually
Retrieval-augmented generation – Type of information retrieval utilizing LLMs
Stochastic parrot – Term used in artificial intelligence

References

^ Newsom, Gavin; Weber, Shirley N. (September 5, 2023). « Executive Order N-12-23 » (PDF). Executive Department, State of California. Archived (PDF) from the original on February 21, 2024. Retrieved September 7, 2023.
^ Pinaya, Walter H. L.; Graham, Mark S.; Kerfoot, Eric; Tudosiu, Petru-Daniel; Dafflon, Jessica; Fernandez, Virginia; Sanchez, Pedro; Wolleb, Julia; da Costa, Pedro F.; Patel, Ashay (2023 ). « Generative AI for Medical Imaging: extending the MONAI Framework ». arXiv:2307.15208 [eess.IV]
^ « What is ChatGPT, DALL-E, and generative AI? ». McKinsey. Retrieved December 14, 2024.
^ « What is generative AI? ». IBM. March 22, 2024.
^ Pasick, Adam (March 27, 2023). « Expert System Glossary: Neural Networks and Other Terms Explained ». The New York Times. ISSN 0362-4331. Archived from the original on September 1, 2023. Retrieved April 22, 2023.
^ Karpathy, Andrej; Abbeel, Pieter; Brockman, Greg; Chen, Peter; Cheung, Vicki; Duan, Yan; Goodfellow, Ian; Kingma, Durk; Ho, Jonathan; Rein Houthooft; Tim Salimans; John Schulman; Ilya Sutskever; Wojciech Zaremba (June 16, 2016). « Generative models ». OpenAI. Archived from the initial on November 17, 2023. Retrieved March 15, 2023.
^ a b Griffith, Erin; Metz, Cade (January 27, 2023). « Anthropic Said to Be Closing In on $300 Million in New A.I. Funding ». The New York City Times. Archived from the original on December 9, 2023. Retrieved March 14, 2023.
^ Lanxon, Nate; Bass, Dina; Davalos, Jackie (March 10, 2023). « A Cheat Sheet to AI Buzzwords and Their Meanings ». Bloomberg News. Archived from the initial on November 17, 2023. Retrieved March 14, 2023.
^ Metz, Cade (March 14, 2023). « OpenAI Plans to Up the Ante in Tech’s A.I. Race ». The New York City Times. ISSN 0362-4331. Archived from the initial on March 31, 2023. Retrieved March 31, 2023.
^ Thoppilan, Romal; De Freitas, Daniel; Hall, Jamie; Shazeer, Noam; Kulshreshtha, Apoorv (January 20, 2022). « LaMDA: Language Models for Dialog Applications ». arXiv:2201.08239 [cs.CL]
^ Roose, Kevin (October 21, 2022). « A Coming-Out Party for Generative A.I., Silicon Valley’s New Craze ». The New York Times. Archived from the initial on February 15, 2023. Retrieved March 14, 2023.
^ a b Metz, Cade (February 15, 2024). « OpenAI Unveils A.I. That Instantly Generates Eye-Popping Videos ». The New York Times. ISSN 0362-4331. Archived from the initial on February 15, 2024. Retrieved February 16, 2024.
^ « The race of the AI labs heats up ». The Economist. January 30, 2023. Archived from the original on November 17, 2023. Retrieved March 14, 2023.
^ Yang, June; Gokturk, Burak (March 14, 2023). « Google Cloud brings generative AI to designers, services, and governments ». Archived from the initial on November 17, 2023. Retrieved March 15, 2023.
^ Brynjolfsson, Erik; Li, Danielle; Raymond, Lindsey R. (April 2023), Generative AI at Work (Working Paper), Working Paper Series, doi:10.3386/ w31161, archived from the original on March 28, 2024, obtained January 21, 2024
^ « Don’t fear an AI-induced jobs apocalypse right now ». The Economist. March 6, 2023. Archived from the initial on November 17, 2023. Retrieved March 14, 2023.
^ Coyle, Jake (September 27, 2023). « In Hollywood writers’ fight versus AI, people win (for now) ». AP News. Associated Press. Archived from the initial on April 3, 2024. Retrieved January 26, 2024.
^ Harreis, H.; Koullias, T.; Roberts, Roger. « Generative AI: Unlocking the future of fashion ». Archived from the initial on November 17, 2023. Retrieved March 14, 2023.
^ « How Generative AI Can Augment Human Creativity ». Harvard Business Review. June 16, 2023. ISSN 0017-8012. Archived from the initial on June 20, 2023. Retrieved June 20, 2023.
^ Hendrix, Justin (May 16, 2023). « Transcript: Senate Judiciary Subcommittee Hearing on Oversight of AI ». techpolicy.press. Archived from the initial on November 17, 2023. Retrieved May 19, 2023.
^ Simon, Felix M.; Altay, Sacha; Mercier, Hugo (October 18, 2023). « Misinformation reloaded? Fears about the effect of generative AI on misinformation are overblown ». Harvard Kennedy School Misinformation Review. doi:10.37016/ mr-2020-127. S2CID 264113883. Archived from the original on November 17, 2023. Retrieved November 16, 2023.
^ « New AI systems hit copyright law ». BBC News. August 1, 2023. Retrieved September 28, 2024.
^ Newquist, H. P. (1994 ). The Brain Makers: Genius, Ego, And Greed In The Quest For Machines That Think. New York: Macmillan/SAMS. pp. 45-53. ISBN 978-0-672-30412-5.
^ Sharkey, Noel (July 4, 2007), A programmable robotic from 60 AD, vol. 2611, New Scientist, archived from the initial on January 13, 2018, recovered October 22, 2019
^ Brett, Gerard (July 1954), « The Automata in the Byzantine « Throne of Solomon » », Speculum, 29 (3 ): 477-487, doi:10.2307/ 2846790, ISSN 0038-7134, JSTOR 2846790, S2CID 163031682.
^ kelinich (March 8, 2014). « Maillardet’s Automaton ». The Franklin Institute. Archived from the initial on August 24, 2023. Retrieved August 24, 2023.
^ Grinstead, Charles Miller; Snell, James Laurie (1997 ). Introduction to Probability. American Mathematical Society. pp. 464-466. ISBN 978-0-8218-0749-1.
^ Bremaud, Pierre (March 9, 2013). Markov Chains: Gibbs Fields, Monte Carlo Simulation, and Queues. Springer Science & Business Media. p. ix. ISBN 978-1-4757-3124-8. Archived from the initial on March 23, 2017.
^ Hayes, Brian (2013 ). « First Links in the Markov Chain ». American Scientist. 101 (2 ): 92. doi:10.1511/ 2013.101.92. ISSN 0003-0996. Archived from the initial on May 7, 2024. Retrieved September 24, 2023.
^ Fine, Shai; Singer, Yoram; Tishby, Naftali (July 1, 1998). « The Hierarchical Hidden Markov Model: Analysis and Applications ». Machine Learning. 32 (1 ): 41-62. doi:10.1023/ A:1007469218079. ISSN 1573-0565. S2CID 3465810.
^ Crevier, Daniel (1993 ). AI: The Tumultuous Search for Artificial Intelligence. New York, New York: BasicBooks. p. 109. ISBN 0-465-02997-3.
^ Bergen, Nathan; Huang, Angela (2023 ). « A Brief History of Generative AI » (PDF). Dichotomies: Generative AI: Navigating Towards a Much Better Future (2 ): 4. Archived (PDF) from the initial on August 10, 2023. Retrieved August 8, 2023.
^ a b Alting, Leo; Zhang, Hongchao (1989 ). « Computer helped process planning: the cutting edge study ». The International Journal of Production Research. 27 (4 ): 553-585. doi:10.1080/ 00207548908942569. Archived from the original on May 7, 2024. Retrieved October 3, 2023.
^ Chien, Steve (1998 ). « Automated preparation and scheduling for goal-based self-governing spacecraft ». IEEE Intelligent Systems and Their Applications. 13 (5 ): 50-55. doi:10.1109/ 5254.722362.
^ Burstein, Mark H., ed. (1994 ). ARPA/Rome Laboratory Knowledge-based Planning and Scheduling Initiative Workshop Proceedings. The Advanced Research Projects Agency, Department of Defense, and Rome Laboratory, US Flying Force, Griffiss AFB. p. 219. ISBN 155860345X.
^ Pell, Barney; Bernard, Douglas E.; Chien, Steve A.; Gat, Erann; Muscettola, Nicola; Nayak, P. Pandurang; Wagner, Michael D.; Williams, Brian C. (1998 ). Bekey, George A. (ed.). A Self-governing Spacecraft Agent Prototype. Autonomous Robots Volume 5, No. 1. pp. 29-45. Our deliberator is a standard generative AI organizer based upon the HSTS preparation framework (Muscettola, 1994), and our control element is a conventional spacecraft mindset control system (Hackney et al. 1993). We likewise include an architectural element clearly dedicated to world modeling (the mode identifier), and compare control and tracking.
^ Jebara, Tony (2012 ). Machine learning: discriminative and generative. Vol. 755. Springer Science & Business Media.
^ Cao, Yihan; Li, Siyu; Liu, Yixin; Yan, Zhiling; Dai, Yutong; Yu, Philip S.; Sun, Lichao (March 7, 2023). « A Detailed Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT ». arXiv:2303.04226 [cs.AI]
^ « finetune-transformer-lm ». GitHub. Archived from the original on May 19, 2023. Retrieved May 19, 2023.
^ Radford, Alec; Wu, Jeffrey; Child, Rewon; Luan, David; Amodei, Dario; Sutskever, Ilya (2019 ). « Language designs are not being watched multitask students » (PDF). OpenAI Blog.
^ Radford, Alec (June 11, 2018). « Improving language understanding with unsupervised knowing ». OpenAI. Retrieved October 6, 2024.
^ Chandraseta, Rionaldi (January 21, 2021). « Generate Your Favourite Characters’ Voice Lines utilizing Machine Learning ». Towards Data Science. Retrieved December 18, 2024.
^ Temitope, Yusuf (December 10, 2024). « 15. ai Creator exposes journey from MIT Project to internet phenomenon ». The Guardian. Archived from the initial on December 28, 2024. Retrieved December 25, 2024.
^ Anirudh VK (March 18, 2023). « Deepfakes Are Elevating Meme Culture, But At What Cost? ». Analytics India Magazine. Archived from the initial on December 26, 2024. Retrieved December 18, 2024. While AI voice memes have actually been around in some kind since ’15. ai’ introduced in 2020, […] ^ Coldewey, Devin (January 5, 2021). « OpenAI’s DALL-E develops plausible images of actually anything you ask it to ». TechCrunch. Retrieved March 15, 2023.
^ « Stable Diffusion Public Release ». Stability AI. Retrieved March 15, 2023.
^ Lock, Samantha (December 5, 2022). « What is AI chatbot phenomenon ChatGPT and could it change people? ». The Guardian. Retrieved March 15, 2023.
^ Huang, Haomiao (August 23, 2023). « How ChatGPT turned generative AI into an « anything tool » ». Ars Technica. Retrieved September 21, 2024.
^ Bubeck, Sébastien; Chandrasekaran, Varun; Eldan, Ronen; Gehrke, Johannes; Horvitz, Eric; Kamar, Ece; Lee, Peter; Lee, Yin Tat; Li, Yuanzhi; Lundberg, Scott; Nori, Harsha; Palangi, Hamid; Ribeiro, Marco Tulio; Zhang, Yi (March 22, 2023). « Sparks of Artificial General Intelligence: Early experiments with GPT-4 ». arXiv:2303.12712 [cs.CL]
^ Schlagwein, Daniel; Willcocks, Leslie (September 13, 2023). « ChatGPT et al: The Ethics of Using (Generative) Expert System in Research and Science ». Journal of Infotech. 38 (2 ): 232-238. doi:10.1177/ 02683962231200411. S2CID 261753752.
^ « Meta open-sources multisensory AI model that combines 6 types of information ». May 9, 2023. Retrieved March 14, 2024.
^ Kruppa, Miles (December 6, 2023). « Google Announces AI System Gemini After Turmoil at Rival OpenAI ». The Wall Street Journal. ISSN 0099-9660. Archived from the original on December 6, 2023. Retrieved December 6, 2023.
^ Edwards, Benj (December 6, 2023). « Google introduces Gemini-an effective AI design it says can go beyond GPT-4 ». Ars Technica. Retrieved December 6, 2023.
^ Metz, Cade (February 8, 2024). « Google Releases Gemini, an A.I.-Driven Chatbot and Voice Assistant ». The New York Times. Retrieved February 8, 2024.
^ « Introducing the next generation of Claude ». Retrieved March 4, 2024.
^ Nuñez, Michael (March 4, 2024). « Anthropic unveils Claude 3, surpassing GPT-4 and Gemini Ultra in benchmark tests ». Venture Beat. Retrieved April 9, 2024.
^ Pierce, David (June 20, 2024). « Anthropic has a quick brand-new AI model – and a clever brand-new method to communicate with chatbots ». The Verge. Retrieved June 22, 2024.
^ Baptista, Eduardo (July 9, 2024). « China leads the world in adoption of generative AI, study programs ». Reuters. Retrieved July 14, 2024.
^ « A History of Generative AI: From GAN to GPT-4 ». March 21, 2023. Archived from the original on June 10, 2023. Retrieved April 28, 2023.
^ « Explainer: What is Generative AI, the technology behind OpenAI’s ChatGPT? ». Reuters. March 17, 2023. Archived from the initial on March 30, 2023. Retrieved March 17, 2023.
^ Roose, Kevin (February 16, 2023). « Bing’s A.I. Chat: ‘I Want to Live.' ». The New York City Times. Archived from the initial on April 15, 2023. Retrieved January 30, 2024.
^ Bommasani, R.; Hudson, D. A.; Adeli, E.; Altman, R.; Arora, S.; von Arx, S.; Bernstein, M. S.; Bohg, J.; Bosselut, A; Brunskill, E.; Brynjolfsson, E. (August 16, 2021). « On the opportunities and risks of foundation designs ». arXiv:2108.07258 [cs.LG]
^ Chen, Ming; Tworek, Jakub; Jun, Hongyu; Yuan, Qinyuan; Pinto, Hanyu Philippe De Oliveira; Kaplan, Jerry; Edwards, Haley; Burda, Yannick; Joseph, Nicholas; Brockman, Greg; Ray, Alvin (July 6, 2021). « Evaluating Large Language Models Trained on Code ». arXiv:2107.03374 [cs.LG]
^ « Investing in Cursor ». Andreesen Horowitz.
^ Epstein, Ziv; Hertzmann, Aaron; Akten, Memo; Farid, Hany; Fjeld, Jessica; Frank, Morgan R. ; Groh, Matthew; Herman, Laura; Leach, Neil; Mahari, Robert; Pentland, Alex « Sandy »; Russakovsky, Olga; Schroeder, Hope; Smith, Amy (2023 ). « Art and the science of generative AI ». Science. 380 (6650 ): 1110-1111. arXiv:2306.04141. Bibcode:2023 Sci … 380.1110 E. doi:10.1126/ science.adh4451. PMID 37319193. S2CID 259095707.
^ Ramesh, Aditya; Pavlov, Mikhail; Goh, Gabriel; Gray, Scott; Voss, Chelsea; Radford, Alec; Chen, Mark; Sutskever, Ilya (2021 ). « Zero-shot text-to-image generation ». International Conference on Artificial Intelligence. PMLR. pp. 8821-8831.
^ Chandraseta, Rionaldi (January 21, 2021). « Generate Your Favourite Characters’ Voice Lines utilizing Machine Learning ». Towards Data Science. Archived from the original on January 21, 2021. Retrieved December 18, 2024.
^ Temitope, Yusuf (December 10, 2024). « 15. ai Creator exposes journey from MIT Project to internet phenomenon ». The Guardian. Archived from the initial on December 28, 2024. Retrieved December 25, 2024.
^ Ruppert, Liana (January 18, 2021). « Make Portal’s GLaDOS And Other Beloved Characters Say The Weirdest Things With This App ». Game Informer. Archived from the initial on January 18, 2021. Retrieved December 18, 2024.
^ Kurosawa, Yuki (January 19, 2021). « ゲームキャラ音声読み上げソフト 15. ai 公開中 。 Undertale や Portal のキャラに好きなセリフを言ってもらえる » [Game Character Voice Reading Software « 15. ai » Now Available. Get Characters from Undertale and Portal to Say Your Desired Lines] AUTOMATON (in Japanese). Archived from the initial on January 19, 2021. Retrieved December 18, 2024. 英語版ボイスのみなので注意 。; もうひとつ15.aiの大きな特徴として挙げられるのが 、 豊かな感情表現だ 。 [Please note that just English voices are available.; Another significant function of 15. ai is its rich psychological expression.] ^ Desai, Saahil (July 17, 2023). « A Voicebot Just Left Me Speechless ». The Atlantic. Archived from the initial on December 8, 2023. Retrieved November 28, 2023.
^ Agostinelli, Andrea; Denk, Timo I.; Borsos, Zalán; Engel, Jesse; Verzetti, Mauro; Caillon, Antoine; Huang, Qingqing; Jansen, Aren; Roberts, Adam; Tagliasacchi, Marco; Sharifi, Matt; Zeghidour, Neil; Frank, Christian (January 26, 2023). « MusicLM: Generating Music From Text ». arXiv:2301.11325 [cs.SD]
^ Dalugdug, Mandy (August 3, 2023). « Meta in June said that it utilized 20,000 hours of licensed music to train MusicGen, that included 10,000 « top quality » certified music tracks. At the time, Meta’s researchers laid out in a paper the ethical difficulties that they came across around the development of generative AI designs like MusicGen ». Archived from the original on August 15, 2023.
^ « Jay-Z’s Delaware manufacturer triggers argument over AI rights ». Archived from the initial on February 27, 2024. Retrieved February 27, 2024.
^ « 10 « Best » AI Music Generators (April 2024) – Unite.AI ». October 19, 2022. Archived from the initial on January 29, 2024. Retrieved February 27, 2024.
^ Metz, Cade (April 4, 2023). « Instant Videos Could Represent the Next Leap in A.I. Technology ». The New York City Times. Archived from the original on April 5, 2023. Retrieved April 5, 2023.
^ Wong, Queenie (September 29, 2022). « Facebook Parent Meta’s AI Tool Can Create Artsy Videos From Text ». cnet.com. Archived from the original on April 5, 2023. Retrieved April 4, 2023.
^ Yang, Sherry; Du, Yilun (April 12, 2023). « UniPi: Learning universal policies by means of text-guided video generation ». Google Research, Brain Team. Google AI Blog. Archived from the original on May 24, 2023.
^ Brohan, Anthony (2023 ). « RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control ». arXiv:2307.15818 [cs.RO]
^ Abdullahi, Aminu (November 17, 2023). « 10 Best Artificial Intelligence (AI) 3D Generators ». eWEEK. Archived from the initial on May 7, 2024. Retrieved February 6, 2024.
^ « Slash CAD model develop times with brand-new AI-driven part development approach|GlobalSpec ». Archived from the original on January 23, 2024. Retrieved February 6, 2024.
^ « The Role of Expert System (AI) in the CAD Industry ». March 22, 2023. Archived from the initial on February 9, 2024. Retrieved February 6, 2024.
^ Sabin, Sam (June 30, 2023). « GitHub has a vision to make code more secure by design ». Axios Codebook. Archived from the initial on August 15, 2023. Retrieved August 15, 2023.
^ Vincent, James (March 20, 2023). « Text-to-video AI inches closer as start-up Runway reveals new design ». The Verge. Archived from the initial on September 27, 2023. Retrieved August 15, 2023. Text-to-video is the next frontier for generative AI, though current output is primary. Runway states it’ll be making its brand-new generative video model, Gen-2, readily available to users in ‘the coming weeks.’
^ Vanian, Jonathan (March 16, 2023). « Microsoft adds OpenAI technology to Word and Excel ». CNBC. Archived from the original on August 15, 2023. Retrieved August 15, 2023. Microsoft is bringing generative synthetic intelligence technologies such as the popular ChatGPT talking app to its Microsoft 365 suite of business software … the brand-new A.I. features, called Copilot, will be available in a few of the company’s most popular organization apps, including Word, PowerPoint and Excel.
^ Wilson, Mark (August 15, 2023). « The app’s Memories function simply got a huge upgrade ». TechRadar. Archived from the original on August 15, 2023. The Google Photos app is getting a redesigned, AI-powered Memories function … you’ll be able to use generative AI to come up with some suggested names like « a desert adventure ».
^ Sullivan, Laurie (May 23, 2023). « Adobe Adds Generative AI To Photoshop ». MediaPost. Archived from the original on August 15, 2023. Retrieved August 15, 2023. Generative artificial intelligence (AI) will end up being one of the most crucial features for innovative designers and online marketers. Adobe on Tuesday unveiled a Generative Fill function in Photoshop to bring Firefly’s AI abilities into style.
^ Michael Nuñez (July 19, 2023). « LLaMA 2: How to gain access to and usage Meta’s versatile open-source chatbot right now ». VentureBeat. Archived from the initial on November 3, 2023. Retrieved August 15, 2023. If you wish to run LLaMA 2 by yourself maker or customize the code, you can download it directly from Hugging Face, a leading platform for sharing AI models.
^ Pounder, Les (March 25, 2023). « How To Create Your Own AI Chatbot Server With Raspberry Pi 4 ». Archived from the original on August 15, 2023. Retrieved August 15, 2023. Using a Pi 4 with 8GB of RAM, you can produce a ChatGPT-like server based upon LLaMA.
^ Kemper, Jonathan (November 10, 2022). «  »Draw Things » App brings Stable Diffusion to the iPhone ». The Decoder. Archived from the original on August 15, 2023. Retrieved August 15, 2023. Draw Things is an app that brings Stable Diffusion to the iPhone. The AI images are produced locally, so you don’t require a Web connection.
^ Witt, Allan (July 7, 2023). « Best Computer to Run LLaMA AI Model at Home (GPU, CPU, RAM, SSD) ». Archived from the original on August 15, 2023. Retrieved August 15, 2023. To run LLaMA model in your home, you will need a computer system develop with a powerful GPU that can handle the large quantity of data and calculation required for inferencing.
^ Westover, Brian (September 28, 2023). « Who Needs ChatGPT? How to Run Your Own Free and Private AI Chatbot ». Ziff Davis. Archived from the initial on January 7, 2024. Retrieved January 7, 2024.
^ @karpathy (December 20, 2023). « I basically only trust 2 LLM evals right now » (Tweet) – through Twitter.
^ @ylecun (January 5, 2024). « Nabla’s shift from ChatGPT to open source LLMs … » (Tweet) – through Twitter.
^ @ylecun (November 1, 2023). « Open source platforms * increase * safety and security » (Tweet) – through Twitter.
^ Nellis, Stephen; Lee, Jane (September 1, 2022). « U.S. authorities order Nvidia to stop sales of top AI chips to China ». Reuters. Archived from the original on August 15, 2023. Retrieved August 15, 2023.
^ Shilov, Anton (May 7, 2023). « Nvidia’s Chinese A800 GPU’s Performance Revealed ». Tom’s Hardware. Archived from the original on May 7, 2024. Retrieved August 15, 2023. the A800 operates at 70% of the speed of A100 GPUs while abiding by strict U.S. export requirements that limit just how much processing power Nvidia can sell.
^ Patel, Dylan (October 24, 2022). « How China’s Biren Is Attempting To Evade US Sanctions ». Archived from the initial on August 15, 2023. Retrieved August 15, 2023.
^ « 5 totally free software to acknowledge fake AI-generated images » (in Italian). October 28, 2023. Archived from the original on October 29, 2023. Retrieved October 29, 2023.
^ « Detecting AI fingerprints: A guide to watermarking and beyond ». Brookings Institution. January 4, 2024. Archived from the initial on September 3, 2024. Retrieved September 5, 2024.
^ Fowler, Geoffrey (April 3, 2023). « We tested a new ChatGPT-detector for teachers. It flagged an innocent trainee ». washingtonpost.com. Archived from the original on March 28, 2024. Retrieved February 6, 2024.
^ Fowler, Geoffrey (June 2, 2023). « Detecting AI might be difficult. That’s a big problem for teachers ». washingtonpost.com. Archived from the original on June 3, 2023. Retrieved February 6, 2024.
^ Bartz, Diane; Hu, Krystal (July 21, 2023). « OpenAI, Google, others pledge to watermark AI material for safety, White House states ». Reuters. Archived from the original on July 27, 2023.
^ « FACT SHEET: President Biden Issues Executive Order on Safe, Secure, and Trustworthy Artificial Intelligence ». The White House. October 30, 2023. Archived from the initial on January 30, 2024. Retrieved January 30, 2024.
^ Burt, Andrew (October 31, 2023). « 3 Obstacles to Regulating Generative AI ». Harvard Business Review. ISSN 0017-8012. Archived from the original on February 17, 2024. Retrieved February 17, 2024.
^ « EU AI Act: very first policy on artificial intelligence ». European Parliament. August 6, 2023. Retrieved September 13, 2024.
^ Chee, Foo Yun; Mukherjee, Supantha (June 14, 2023). « EU lawmakers elect harder AI rules as draft transfer to last ». Reuters. Archived from the original on July 27, 2023. Retrieved July 26, 2023.
^ Ye, Josh (July 13, 2023). « China says generative AI rules to apply just to products for the general public ». Reuters. Archived from the initial on July 27, 2023. Retrieved July 13, 2023.
^ « 生成式人工智能服务管理暂行办法 ». July 13, 2023. Archived from the original on July 27, 2023. Retrieved July 27, 2023.
^ a b « Generative Artificial Intelligence and Copyright Law ». Congressional Research Service. LSB10922. September 29, 2023. Archived from the initial on March 22, 2024. Retrieved January 30, 2024.
^ Thompson, Stuart (January 25, 2024). « We Asked A.I. to Create the Joker. It Generated a Copyrighted Image ». The New York City Times. Archived from the original on January 25, 2024. Retrieved January 26, 2024.
^ Hadero, Haleluya; Bauder, David (December 27, 2023). « The New york city Times sues OpenAI and Microsoft for using its stories to train chatbots ». Associated Press News. AP News. Archived from the original on December 27, 2023. Retrieved April 13, 2023.
^ O’Brien, Matt (September 25, 2023). « Photo giant Getty took a leading AI image-maker to court. Now it’s also embracing the technology ». AP NEWS. Associated Press. Archived from the original on January 30, 2024. Retrieved January 30, 2024.
^ Barber, Gregory (December 9, 2023). « The Generative AI Copyright Fight Is Just Getting Started ». Wired. Archived from the initial on January 19, 2024. Retrieved January 19, 2024.
^ Bruell, Alexandra (December 27, 2023). « New York City Times Sues Microsoft and OpenAI, Alleging Copyright Infringement ». Wall Street Journal. Archived from the original on January 18, 2024. Retrieved January 19, 2024.
^ Brittain, Blake (August 21, 2023). « AI-generated art can not receive copyrights, US court states ». Reuters. Archived from the initial on January 20, 2024. Retrieved January 19, 2024.
^ David, Emilla (August 29, 2023). « US Copyright Office wishes to hear what people think of AI and copyright ». The Verge. Archived from the initial on January 19, 2024. Retrieved January 19, 2024.
^ « Secretary-General’s remarks to the Security Council on Expert System ». un.org. July 18, 2023. Archived from the original on July 28, 2023. Retrieved July 27, 2023.
^ « The Writers Strike Is Taking a Stand on AI ». Time. May 4, 2023. Archived from the initial on June 11, 2023. Retrieved June 11, 2023.
^ Tarnoff, Ben (August 4, 2023). « Lessons from Eliza ». The Guardian Weekly. pp. 34-39.
^ Zhou, Viola (April 11, 2023). « AI is already taking video game illustrators’ jobs in China ». Rest of World. Archived from the original on August 13, 2023. Retrieved August 17, 2023.
^ Carter, Justin (April 11, 2023). « China’s game art industry supposedly decimated by growing AI use ». Game Developer. Archived from the original on August 17, 2023. Retrieved August 17, 2023.
^ Collier, Kevin (July 14, 2023). « Actors vs. AI: Strike brings focus to emerging usage of innovative tech ». NBC News. Archived from the original on July 20, 2023. Retrieved July 21, 2023. SAG-AFTRA has actually joined the Writer’s [sic] Guild of America in demanding an agreement that clearly demands AI guidelines to secure authors and the works they develop. … The future of generative artificial intelligence in Hollywood-and how it can be used to replace labor-has become a vital sticking point for actors going on strike. In a news conference Thursday, Fran Drescher, president of the Screen Actors Guild-American Federation of Television and Radio Artists (more frequently called SAG-AFTRA), declared that ‘artificial intelligence presents an existential threat to imaginative professions, and all actors and entertainers should have agreement language that secures them from having their identity and skill made use of without consent and pay.’
^ Wiggers, Kyle (August 22, 2023). « ElevenLabs’ voice-generating tools introduce out of beta ». TechCrunch. Archived from the initial on November 28, 2023. Retrieved September 25, 2023.
^ Shrivastava, Rashi. « ‘Keep Your Paws Off My Voice’: Voice Actors Worry Generative AI Will Steal Their Livelihoods ». Forbes. Archived from the original on December 2, 2023. Retrieved November 28, 2023.
^ Gupta, Shalene (October 31, 2023). « Underrepresented groups in countries around the world are fretted about AI being a hazard to tasks ». Fast Company. Archived from the initial on December 8, 2023. Retrieved December 8, 2023.
^ Rachel Gordon (March 3, 2023). « Large language designs are prejudiced. Can reasoning conserve them? ». MIT CSAIL. Archived from the original on January 23, 2024. Retrieved January 26, 2024.
^ OpenAI (July 18, 2022). « Reducing predisposition and improving safety in DALL · E 2 ». OpenAI. Archived from the initial on January 26, 2024. Retrieved January 26, 2024.
^ Jake Traylor (July 27, 2022). « No quick fix: How OpenAI’s DALL · E 2 illustrated the challenges of predisposition in AI ». NBC News. Archived from the initial on January 26, 2024. Retrieved January 26, 2024.
^ « DALL · E 2 pre-training mitigations ». OpenAI. June 28, 2022. Archived from the original on January 26, 2024. Retrieved January 26, 2024.
^ Brandon, John (February 16, 2018). « Terrifying modern pornography: Creepy ‘deepfake’ videos are on the increase ». Fox News. Archived from the initial on June 15, 2018. Retrieved February 20, 2018.
^ Cole, Samantha (January 24, 2018). « We Are Truly Fucked: Everyone Is Making AI-Generated Fake Porn Now ». Vice. Archived from the original on September 7, 2019. Retrieved May 4, 2019.
^ « What Are Deepfakes & Why the Future of Porn is Terrifying ». Highsnobiety. February 20, 2018. Archived from the initial on July 14, 2021. Retrieved February 20, 2018.
^ « Experts fear face switching tech might start a worldwide showdown ». The Outline. Archived from the original on January 16, 2020. Retrieved February 28, 2018.
^ Roose, Kevin (March 4, 2018). « Here Come the Fake Videos, Too ». The New York Times. ISSN 0362-4331. Archived from the initial on June 18, 2019. Retrieved March 24, 2018.
^ Schreyer, Marco; Sattarov, Timur; Reimer, Bernd; Borth, Damian (2019 ). « Adversarial Learning of Deepfakes in Accounting ». arXiv:1910.03810 [cs.LG]
^ Menz, Bradley (2024 ). « Health Disinformation Use Case Highlighting the Urgent Need for Artificial Intelligence Vigilance ». JAMA Internal Medicine. 184 (1 ): 92-96. doi:10.1001/ jamainternmed.2023.5947. PMID 37955873. S2CID 265148637. Archived from the initial on February 4, 2024. Retrieved February 4, 2024.
^ Chalfant, Morgan (March 6, 2024). « U.S. braces for foreign disturbance in 2024 election ». Semafor. Archived from the initial on March 11, 2024. Retrieved March 6, 2024.
^ Menn, Joseph (September 23, 2024). « Russia, Iran use AI to increase anti-U.S. impact campaigns, officials say ». The Washington Post. ISSN 0190-8286. Archived from the initial on September 24, 2024. Retrieved September 23, 2024.
^ « Join the Deepfake Detection Challenge (DFDC) ». deepfakedetectionchallenge.ai. Archived from the original on January 12, 2020. Retrieved November 8, 2019.
^ Clarke, Yvette D. (June 28, 2019). « H.R. 3230 – 116th Congress (2019-2020): Defending Each and Every Person from False Appearances by Keeping Exploitation Subject to Accountability Act of 2019 ». www.congress.gov. Archived from the original on December 17, 2019. Retrieved October 16, 2019.
^ « New Research Reveals Scale of Threat Posed by AI-generated Images on 2024 Elections ». Logically. July 27, 2023. Archived from the original on October 3, 2023. Retrieved July 6, 2024.
^ Lawton, Graham (September 12, 2023). « Disinformation wars: The fight against phony news in the age of AI ». New Scientist. Retrieved July 5, 2024.
^ Brewer, Jordan; Patel, Dhru; Kim, Dennie; Murray, Alex (April 12, 2024). « Navigating the obstacles of generative innovations: Proposing the combination of synthetic intelligence and blockchain ». Business Horizons. 67 (5 ): 525-535. doi:10.1016/ j.bushor.2024.04.011. ISSN 0007-6813.
^ « People Are Still Terrible: AI Voice-Cloning Tool Misused for Deepfake Celeb Clips ». PCMag Middle East. January 31, 2023. Archived from the original on December 25, 2023. Retrieved July 25, 2023.
^ « The generative A.I. software application race has started ». Fortune. Archived from the initial on March 25, 2023. Retrieved February 3, 2023.
^ Milmo, Dan; Hern, Alex (May 20, 2023). « Elections in UK and US at threat from AI-driven disinformation, say professionals ». The Guardian. ISSN 0261-3077. Archived from the original on November 16, 2023. Retrieved July 25, 2023.
^ « Seeing is believing? Global scramble to take on deepfakes ». news.yahoo.com. Archived from the original on February 3, 2023. Retrieved February 3, 2023.
^ Vincent, James (January 31, 2023). « 4chan users welcome AI voice clone tool to create celeb hatespeech ». The Verge. Archived from the initial on December 3, 2023. Retrieved February 3, 2023.
^ Thompson, Stuart A. (March 12, 2023). « Making Deepfakes Gets Cheaper and Easier Thanks to A.I. » The New York City Times. ISSN 0362-4331. Archived from the original on October 29, 2023. Retrieved July 25, 2023.
^ « A new AI voice tool is currently being abused to make deepfake star audio clips ». Engadget. January 31, 2023. Archived from the original on October 10, 2023. Retrieved February 3, 2023.
^ Gee, Andre (April 20, 2023). « Just Because AI-Generated Rap Songs Go Viral Doesn’t Mean They’re Good ». Rolling Stone. Archived from the initial on January 2, 2024. Retrieved December 6, 2023.
^ Coscarelli, Joe (April 19, 2023). « An A.I. Hit of Fake ‘Drake’ and ‘The Weeknd’ Rattles the Music World ». The New York Times. Archived from the original on May 15, 2023. Retrieved December 5, 2023.
^ Lippiello, Emily; Smith, Nathan; Pereira, Ivan (November 3, 2023). « AI songs that imitate popular artists raising alarms in the music industry ». ABC News. Archived from the original on December 6, 2023. Retrieved December 6, 2023.
^ Skelton, Eric. « Fans Are Using Artificial Intelligence to Turn Rap Snippets Into Full Songs ». Complex. Archived from the original on January 2, 2024. Retrieved December 6, 2023.
^ Marr, Bernard. « Virtual Influencer Noonoouri Lands Record Deal: Is She The Future Of Music? ». Forbes. Archived from the original on December 4, 2023. Retrieved December 6, 2023.
^ Thaler, Shannon (September 8, 2023). « Warner Music signs first-ever record handle AI pop star ». New York City Post. Archived from the original on December 15, 2023. Retrieved December 6, 2023.
^ Sjouwerman, Stu (December 26, 2022). « Deepfakes: Prepare yourself for phishing 2.0 ». Fast Company. Archived from the initial on July 31, 2023. Retrieved July 31, 2023.
^ Sonnemaker, Tyler. « As social networks platforms brace for the incoming wave of deepfakes, Google’s previous ‘scams czar’ forecasts the greatest risk is that deepfakes will ultimately become boring ». Business Insider. Archived from the initial on April 14, 2021. Retrieved July 31, 2023.
^ Collinson, Patrick (July 15, 2023). « Fake reviews: can we trust what we checked out online as usage of AI explodes? ». The Guardian. ISSN 0261-3077. Archived from the initial on November 22, 2023. Retrieved December 6, 2023.
^ « After WormGPT, FraudGPT Emerges to Help Scammers Steal Your Data ». PCMAG. July 25, 2023. Archived from the initial on July 31, 2023. Retrieved July 31, 2023.
^ Gupta, Maanak; Akiri, Charankumar; Aryal, Kshitiz; Parker, Eli; Praharaj, Lopamudra (2023 ). « From ChatGPT to ThreatGPT: Impact of Generative AI in Cybersecurity and Privacy ». IEEE Access. 11: 80218-80245. arXiv:2307.00691. Bibcode:2023 IEEEA..1180218 G. doi:10.1109/ ACCESS.2023.3300381. S2CID 259316122.
^ Piper, Kelsey (February 2, 2024). « Should we make our most effective AI designs open source to all? ». Vox. Retrieved January 13, 2025.
^ Metz, Cade (July 10, 2023). « In the Age of A.I., Tech’s Little Guys Need Big Friends ». New York City Times.
^ a b Bender, Emily M.; Gebru, Timnit; McMillan-Major, Angelina; Shmitchell, Shmargaret (March 1, 2021). « On the Dangers of Stochastic Parrots: Can Language Models be Too Big? ». Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency. FAccT ’21. New York, NY, USA: Association for Computing Machinery. pp. 610-623. doi:10.1145/ 3442188.3445922. ISBN 978-1-4503-8309-7.
^ a b c d « AI is an energy hog. This is what it suggests for environment change ». MIT Technology Review. May 23, 2024. Archived from the original on August 20, 2024. Retrieved August 27, 2024.
^ a b c d e f g Dhar, Payal (August 1, 2020). « The carbon impact of expert system ». Nature Machine Intelligence. 2 (8 ): 423-425. doi:10.1038/ s42256-020-0219-9. ISSN 2522-5839. Archived from the original on August 14, 2024.
^ a b c d e Crawford, Kate (February 20, 2024). « Generative AI’s ecological expenses are skyrocketing – and mainly secret ». Nature. 626 (8000 ): 693. Bibcode:2024 Natur.626..693 C. doi:10.1038/ d41586-024-00478-x. PMID 38378831. Archived from the initial on August 22, 2024.
^ a b c d Rogers, Reece. « AI’s Energy Demands Are Out of Control. Welcome to the Internet’s Hyper-Consumption Era ». Wired. ISSN 1059-1028. Archived from the original on August 14, 2024. Retrieved August 27, 2024.
^ a b c d e f Saenko, Kate (May 23, 2023). « Is generative AI bad for the environment? A computer system researcher discusses the carbon footprint of ChatGPT and its cousins ». The Conversation. Archived from the original on July 1, 2024. Retrieved August 27, 2024.
^ a b Lohr, Steve (August 26, 2024). « Will A.I. Ruin the Planet or Save the Planet? ». The New York City Times. ISSN 0362-4331. Archived from the initial on August 26, 2024. Retrieved August 27, 2024.
^ Hoffman, Benjamin (June 11, 2024). « First Came ‘Spam.’ Now, With A.I., We’ve Got ‘Slop' ». The New York Times. ISSN 0362-4331. Archived from the original on August 26, 2024. Retrieved August 27, 2024.
^ a b « Investigation Finds Actual Source of All That AI Slop on Facebook ». Futurism. August 10, 2024. Archived from the initial on August 15, 2024. Retrieved August 27, 2024.
^ a b Warzel, Charlie (August 21, 2024). « The MAGA Aesthetic Is AI Slop ». The Atlantic. Archived from the initial on August 25, 2024. Retrieved August 27, 2024.
^ Edwards, Benj (August 14, 2024). « Research AI design all of a sudden tries to customize its own code to extend runtime ». Ars Technica. Archived from the original on August 24, 2024. Retrieved August 27, 2024.
^ Hern, Alex; Milmo, Dan (May 19, 2024). « Spam, scrap … slop? The current wave of AI behind the ‘zombie web' ». The Guardian. ISSN 0261-3077. Archived from the initial on August 26, 2024. Retrieved August 27, 2024.
^ Cox, Joseph (January 18, 2024). « Google News Is Boosting Garbage AI-Generated Articles ». 404 Media. Archived from the initial on June 13, 2024. Retrieved August 27, 2024.
^ « Beloved Local Newspapers Fired Staffers, Then Started Running AI Slop ». Futurism. July 31, 2024. Archived from the initial on August 12, 2024. Retrieved August 27, 2024.
^ Thompson, Brian; Dhaliwal, Mehak; Frisch, Peter; Domhan, Tobias; Federico, Marcello (August 2024). Ku, Lun-Wei; Martins, Andre; Srikumar, Vivek (eds.). « A Shocking Amount of the Web is Machine Translated: Insights from Multi-Way Parallelism ». Findings of the Association for Computational Linguistics ACL 2024. Bangkok, Thailand and virtual conference: Association for Computational Linguistics: 1763-1775. arXiv:2401.05749. doi:10.18653/ v1/2024. findings-acl.103.
^ Roscoe, Jules (January 17, 2024). « A ‘Shocking’ Amount of the Web Is Already AI-Translated Trash, Scientists Determine ». VICE. Archived from the original on July 1, 2024. Retrieved August 27, 2024.
^ Koebler, Jason (September 19, 2024). « Project Analyzing Human Language Usage Shuts Down Because ‘Generative AI Has Polluted the Data' ». 404 Media. Archived from the original on September 19, 2024. Retrieved September 20, 2024. While there has always been spam on the web and in the datasets that Wordfreq utilized, « it was manageable and typically identifiable. Large language designs generate text that masquerades as genuine language with intention behind it, despite the fact that there is none, and their output crops up all over, » she composed. She provides the example that ChatGPT overuses the word « delve, » in such a way that people do not, which has actually tossed off the frequency of this particular word.
^ Gray, Andrew (March 24, 2024). « ChatGPT « contamination »: estimating the occurrence of LLMs in the academic literature ». arXiv:2403.16887 [cs.DL]
^ Kannan, Prabha (May 13, 2024). « Just How Much Research Is Being Written by Large Language Models? ». Human-Centered Expert System. Stanford University. Retrieved August 16, 2024.
^ Valyaeva, Alina (August 15, 2023). « AI Image Statistics for 2024: How Much Content Was Created by AI ». Everypixel Journal. Retrieved August 16, 2024.
^ Shumailov, Ilia; Shumaylov, Zakhar; Zhao, Yiren; Papernot, Nicolas; Anderson, Ross; Gal, Yarin (July 2024). « AI designs collapse when trained on recursively generated information ». Nature. 631 (8022 ): 755-759. Bibcode:2024 Natur.631..755 S. doi:10.1038/ s41586-024-07566-y. PMC 11269175. PMID 39048682.
^ Bhatia, Aatish (August 26, 2024). « When A.I.’s Output Is a Danger to A.I. Itself ». The New York Times. ISSN 0362-4331. Retrieved August 27, 2024.
^ « Self-Consuming Generative Models Freak ». ICLR. 2024.
^ Owen, Sean (April 12, 2023). « Synthetic Data for Better Machine Learning ». databricks.com. Archived from the original on January 3, 2024. Retrieved January 4, 2024.
^ Sharma, Himanshu (July 11, 2023). « Synthetic Data Platforms: Unlocking the Power of Generative AI for Structured Data ». kdnuggets.com. Archived from the original on January 3, 2024. Retrieved January 4, 2024.
^ Stöckl, Andreas (November 2, 2022). « Evaluating a Synthetic Image Dataset Generated with Stable Diffusion ». arXiv:2211.01777 [cs.CV]
^ Roth, Emma (January 25, 2023). « CNET found errors in more than half of its AI-written stories ». The Verge. Archived from the original on November 6, 2023. Retrieved June 17, 2023.
^ « A publication touted Michael Schumacher’s very first interview in years. It was in fact AI ». NPR. April 28, 2023. Archived from the initial on June 17, 2023. Retrieved June 17, 2023.
^ Al-Sibai, Noor (January 3, 2024). « Police Say AI-Generated Article About Local Murder Is « Entirely » Comprised ». Futurism. Archived from the initial on January 5, 2024. Retrieved January 8, 2024.
^ « NewsBreak: Most downloaded US news app has Chinese roots and ‘composes fiction’ using AI ». Reuters. June 5, 2024. Archived from the initial on June 6, 2024. Retrieved June 7, 2024.
^ a b Harrison, Maggie (November 27, 2023). « Sports Illustrated Published Articles by Fake, AI-Generated Writers ». Futurism. Archived from the initial on December 15, 2023. Retrieved January 8, 2024.
^ Christian, Jon (February 9, 2023). « Magazine Publishes Serious Errors in First AI-Generated Health Article ». Futurism. Archived from the original on December 26, 2023. Retrieved January 8, 2024.
^ Schneider, Jaron (December 14, 2023). « B&H Photo Published an AI-Generated Guide Written by a Fake Person ». PetaPixel. Archived from the initial on January 4, 2024. Retrieved January 8, 2024.
^ Harrison, Maggie (August 29, 2023). « USA Today Owner Pauses AI Articles After Butchering Sports Coverage ». Futurism. Archived from the initial on January 4, 2024. Retrieved January 8, 2024.
^ Buchanan, Tyler (August 28, 2023). « Dispatch stops briefly AI sports composing program ». Axios. Archived from the original on January 1, 2024. Retrieved January 8, 2024.
^ Sommer, Will (October 26, 2023). « Mysterious bylines appeared on an USA Today site. Did these authors exist? ». Washington Post. ISSN 0190-8286. Archived from the initial on October 26, 2023. Retrieved January 8, 2024. ^ a b c d e f g h i j k l m n o p q r s t u v w x y z aa ab a/c « Meet AdVon, the AI-Powered Content Monster Infecting the Media Industry ». Futurism. May 8, 2024. Archived from the original on June 4, 2024. Retrieved June 8, 2024.
^ O’Sullivan, Donie; Gordon, Allison (November 2, 2023). « How Microsoft’s AI is making a mess of the news|CNN Business ». CNN. Archived from the initial on November 2, 2023. Retrieved January 8, 2024.
^ Meade, Amanda (July 31, 2023). « News Corp using AI to produce 3,000 Australian regional newspaper article a week ». The Guardian. ISSN 0261-3077. Archived from the initial on December 2, 2023. Retrieved January 8, 2024.
^ Tangermann, Victor (June 30, 2023). « Gizmodo Staff Furious After Site Announces Move to AI Content ». Futurism. Archived from the initial on December 6, 2023. Retrieved January 8, 2024.
^ a b c Kafka, Peter (July 18, 2023). « Coming to your web, whether you like it or not: More AI-generated stories ». Vox. Archived from the original on July 18, 2023. Retrieved January 8, 2024.
^ Landymore, Frank; Christian, Jon (September 13, 2023). « The A.V. Club’s AI-Generated Articles Are Copying Directly From IMDb ». Futurism. Archived from the initial on December 6, 2023. Retrieved January 8, 2024.
^ Stiaplame, Nordiisk (January 28, 2025). « Quartz Is Publishing AI-Generated Articles Based on Other AI Slop, In Addition To Warning They May Be Filled With Errors ». Futurism. Archived from the initial on January 29, 2025. Retrieved January 30, 2025.
^ Carroll, Rory (May 14, 2023). « Irish Times apologises for scam AI article about women’s usage of phony tan ». The Guardian. ISSN 0261-3077. Archived from the original on May 14, 2023. Retrieved January 8, 2024.
^ Christian, Jon (February 1, 2023). « CNET Sister Site Restarts AI Articles, Immediately Publishes Idiotic Error ». Futurism. Archived from the initial on November 27, 2023. Retrieved January 8, 2024.
^ Al-Sibai, Noor; Christian, Jon (March 30, 2023). « BuzzFeed Is Quietly Publishing Entire AI-Generated Articles ». Futurism. Archived from the original on December 6, 2023. Retrieved January 8, 2024.
^ « Newsweek is making generative AI a component in its newsroom ». Nieman Lab. April 17, 2024. Archived from the original on May 15, 2024. Retrieved May 24, 2024.
^ « What remains in a byline? For Hoodline’s AI-generated local news, whatever – and absolutely nothing ». Nieman Lab. June 3, 2024. Archived from the initial on June 6, 2024. Retrieved June 8, 2024.
^ « AI-generated news is here from S.F.-based Hoodline. What does that mean for conventional publishers? ». San Francisco Chronicle. May 8, 2024. Archived from the initial on June 5, 2024. Retrieved June 7, 2024.
^ Gold, Hadas (May 30, 2024). « A national network of local news websites is publishing AI-written posts under phony bylines. Experts are raising alarm ». CNN. Archived from the initial on June 6, 2024. Retrieved June 8, 2024.
^ « Wyoming reporter captured utilizing synthetic intelligence to produce fake quotes and stories ». Associated Press. August 14, 2024. Archived from the initial on August 24, 2024. Retrieved August 27, 2024.
^ « Cosmos Magazine publishes AI-generated articles, drawing criticism from reporters, co-founders ». ABC News. August 7, 2024. Archived from the initial on August 24, 2024. Retrieved August 27, 2024.
^ « AI-generated posts are permeating significant news publications ». National Public Radio. May 16, 2024. Archived from the initial on June 19, 2024. Retrieved July 8, 2024.
^ a b c Knibbs, Kate (July 30, 2024). « Zombie Alt-Weeklies Are Stuffed With AI Slop About OnlyFans ». Wired. Archived from the initial on August 11, 2024. Retrieved August 27, 2024.
^ « Apple states it will upgrade AI function after incorrect news alerts ». The Guardian. January 7, 2025. Archived from the initial on January 14, 2025. Retrieved January 14, 2025.
^ « TV channels are utilizing AI-generated presenters to check out the news. The concern is, will we trust them? ». BBC News. January 26, 2024. Archived from the original on January 26, 2024. Retrieved May 24, 2024.
^ Tait, Amelia (October 20, 2023). « ‘Here is the news. You can’t stop us’: AI anchor Zae-In grants us an interview ». The Guardian. ISSN 0261-3077. Archived from the original on January 28, 2024. Retrieved May 24, 2024.
^ Kuo, Lily (November 9, 2018). « World’s first AI news anchor unveiled in China ». The Guardian. ISSN 0261-3077. Archived from the original on February 20, 2024. Retrieved May 24, 2024.
^ « These ISIS news anchors are AI phonies. Their propaganda is real ». Washington Post. May 17, 2024. Archived from the original on May 19, 2024. Retrieved May 24, 2024.
^ Mullin, Benjamin; Grant, Nico (July 20, 2023). « Google Tests A.I. Tool That Has The Ability To Write News Articles ». The New York Times. ISSN 0362-4331. Archived from the initial on May 16, 2024. Retrieved May 24, 2024.
^ Stenberg, Mark (February 27, 2024). « Google Is Paying Publishers Five-Figure Sums to Test an Unreleased Gen AI Platform ». Adweek. Archived from the initial on March 9, 2024. Retrieved April 17, 2024.
^ Knibbs, Kate (February 7, 2024). « Confessions of an AI Clickbait Kingpin ». Wired. ISSN 1059-1028. Archived from the initial on May 18, 2024. Retrieved May 24, 2024.
^ Knibbs, Kate (January 26, 2024). « How Beloved Indie Blog ‘The Hairpin’ Became an AI Clickbait Farm ». Wired. ISSN 1059-1028. Archived from the original on April 14, 2024. Retrieved May 24, 2024.
^ Koebler, Jason (July 9, 2024). « A Cherished Tech Blog Is Now Publishing AI Articles Under the Names of Its Old Human Staff ». 404 Media. Archived from the original on July 12, 2024. Retrieved August 27, 2024.
^ Hollister, Sean (July 10, 2024). « Early Apple tech blog writers are stunned to discover their name and work have actually been AI-zombified ». The Verge. Archived from the original on July 12, 2024. Retrieved August 27, 2024.
^ « AI slop is already attacking Oregon’s regional journalism ». Oregon Public Broadcasting. December 9, 2024. Archived from the initial on December 9, 2024. Retrieved December 10, 2024.
^ Knibbs, Kate (February 26, 2024). « How a Small Iowa Newspaper’s Website Became an AI-Generated Clickbait Factory ». Wired. ISSN 1059-1028. Archived from the original on February 26, 2024. Retrieved December 10, 2024.
^ Koebler, Jason; Cole, Samantha; Maiberg, Emanuel; Cox, Joseph (January 26, 2024). « We Need Your Email Address ». 404 Media. Archived from the original on December 2, 2024. Retrieved December 10, 2024.
^ « Meet the Serbian Businessman/DJ Who Runs the Zombie AI Southwest Journal – Racket ». Racket. February 16, 2024. Archived from the original on November 13, 2024. Retrieved December 10, 2024.
^ Lima-Strong, Cristiano (January 11, 2024). « Senators alert AI might cause ‘damage’ of regional news ». Washington Post. ISSN 0190-8286. Archived from the initial on January 11, 2024. Retrieved May 24, 2024.
^ « OpenAI strikes $5 million-plus regional news offer ». Axios. July 18, 2023. Archived from the original on July 19, 2023. Retrieved May 24, 2024.
^ Kelly, Heather (May 22, 2024). « Meta ignored news. Now the business’s using it for AI material ». Washington Post. ISSN 0190-8286. Archived from the on May 22, 2024. Retrieved May 24, 2024.
^ « How WIRED Will Use Generative AI Tools ». Wired. Archived from the initial on December 30, 2023. Retrieved January 8, 2024.
^ Barrett, Amanda (November 15, 2018). « Standards around generative AI ». Associated Press. Archived from the original on September 23, 2023. Retrieved January 8, 2024.
^ Viner, Katharine; Bateson, Anna (June 16, 2023). « The Guardian’s technique to generative AI ». The Guardian. ISSN 0261-3077. Archived from the original on January 3, 2024. Retrieved January 8, 2024.
^ Becker, K. B.; Simon, F. M.; Crum, C. (2023 ). « Policies in parallel? A comparative study of journalistic AI policies in 52 global news organisations ». pp. 8-9. doi:10.31235/ osf.io/ c4af9.
^ Newman, Nic; Fletcher, Richard; Robertson, Craig T.; Arguedas, Amy Ross; Nielsen, Rasmus Fleis (June 2024). « Digital Report 2024 » (PDF). Reuters Institute for the Study of Journalism.