Generative Artificial Intelligence

Improvements in transformer-based deep neural networks, especially large language models (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 artificial intelligence 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 along with various smaller sized firms have developed generative AI designs. [7] [13] [14]

Generative AI has uses across a vast array of industries, including software application advancement, health care, financing, home entertainment, customer care, [15] sales and marketing, [16] art, writing, [17] style, [18] and item style. [19] However, issues have been raised about the possible abuse of generative AI such as cybercrime, the usage of phony news or deepfakes to trick or manipulate people, and the mass replacement of human jobs. [20] [21] Copyright law concerns likewise exist around generative designs 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 consequences of creating synthetic beings with human-like intelligence; these concerns have actually formerly been checked out by myth, fiction and philosophy given that antiquity. [23] The idea of automatic art dates back at least to the automata of ancient Greek civilization, where creators such as Daedalus and Hero of Alexandria were described as having actually developed machines capable of composing text, producing noises, and playing music. [24] [25] The tradition of innovative automations has flourished throughout history, exemplified by Maillardet’s automaton developed in the early 1800s. [26] Markov chains have actually long been utilized to design natural languages since their development by Russian mathematician Andrey Markov in the early 20th century. Markov published his first paper on the subject in 1906, [27] [28] and examined the pattern of vowels and consonants in the unique Eugeny Onegin utilizing Markov chains. Once a Markov chain is learned on a text corpus, it can then be utilized as a probabilistic text generator. [29] [30]

Academic expert system

The scholastic discipline of synthetic intelligence was established at a research workshop held at Dartmouth College in 1956 and has experienced numerous waves of improvement and optimism in the decades because. [31] Expert system research started 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 utilized expert system to produce artistic works. By the early 1970s, Harold Cohen was developing and exhibiting generative AI works produced by AARON, the computer system program Cohen created to produce paintings. [32]

The terms generative AI preparation or generative preparation were used in the 1980s and 1990s to refer to AI planning systems, especially computer-aided process preparation, used to produce series of actions to reach a specified goal. [33] [34] Generative AI planning systems utilized symbolic AI approaches such as state space search and restriction fulfillment and were a “fairly mature” innovation by the early 1990s. They were utilized to generate crisis action prepare for military use, [35] procedure prepare for manufacturing [33] and choice plans such as in model autonomous spacecraft. [36]

Generative neural nets (2014-2019)

Since its creation, the field of device knowing used both discriminative designs and generative designs, to design and anticipate data. Beginning in the late 2000s, the emergence of deep knowing drove progress and research study in image category, speech recognition, natural language processing and other jobs. Neural networks in this age were normally trained as discriminative designs, due to the difficulty of generative modeling. [37]

In 2014, developments such as the variational autoencoder and generative adversarial network produced the very first practical deep neural networks capable of learning generative models, instead of discriminative ones, for intricate data such as images. These deep generative models were the first to output not just class labels for images but likewise whole images.

In 2017, the Transformer network allowed advancements in generative models compared to older Long-Short Term Memory designs, [38] leading to the very first generative pre-trained transformer (GPT), understood as GPT-1, in 2018. [39] This was followed in 2019 by GPT-2 which showed the capability to generalize not being watched to numerous various jobs as a Structure model. [40]

The new generative models introduced throughout this duration permitted large neural networks to be trained using without supervision knowing or semi-supervised knowing, rather than the supervised learning normal of discriminative designs. Unsupervised learning removed the requirement for people to by hand identify information, enabling for bigger networks to be trained. [41]

Generative AI boom (2020-)

In March 2020, 15. ai, developed by an anonymous MIT researcher, was a complimentary web application that could create convincing character voices using very little training information. [42] The platform is credited as the first mainstream service to popularize AI voice cloning (audio deepfakes) in memes and content creation, influencing subsequent developments in voice AI technology. [43] [44]

In 2021, the emergence of DALL-E, a transformer-based pixel generative design, marked an advance in AI-generated images. [45] This was followed by the releases of Midjourney and Stable Diffusion in 2022, which even more equalized access to high-quality artificial intelligence art development from natural language triggers. [46] These systems demonstrated extraordinary abilities in generating photorealistic images, artwork, and creates based on text descriptions, resulting in extensive adoption among artists, designers, and the basic public.

In late 2022, the public release of ChatGPT transformed the ease of access and application of generative AI for general-purpose text-based jobs. [47] The system’s capability to participate in natural discussions, produce imaginative material, assist with coding, and carry out numerous analytical jobs recorded worldwide attention and sparked extensive conversation about AI’s possible effect on work, education, and imagination. [48]

In March 2023, GPT-4’s release represented another dive in generative AI capabilities. A team from Microsoft Research controversially argued that it “might reasonably be considered as an early (yet still insufficient) variation of a synthetic basic intelligence (AGI) system.” [49] However, this assessment was objected to by other scholars who maintained that generative AI stayed “still far from reaching the standard of ‘general human intelligence'” since 2023. [50] Later in 2023, Meta launched ImageBind, an AI model combining multiple methods consisting of text, images, video, thermal information, 3D information, audio, and movement, leading the way for more immersive generative AI applications. [51]

In December 2023, Google revealed Gemini, a multimodal AI model available in four versions: Ultra, Pro, Flash, and Nano. [52] The company incorporated Gemini Pro into its Bard chatbot and revealed strategies for “Bard Advanced” powered by the bigger Gemini Ultra design. [53] In February 2024, Google merged Bard and Duet AI under the Gemini brand, introducing 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 models, consisting of Claude 3 Haiku, Sonnet, and Opus. [55] The designs demonstrated considerable enhancements in abilities across different criteria, with Claude 3 Opus significantly outshining leading designs from OpenAI and Google. [56] In June 2024, Anthropic launched Claude 3.5 Sonnet, which demonstrated enhanced efficiency 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 emerged as a worldwide leader in generative AI adoption, with 83% of Chinese participants using the innovation, going beyond both the international average of 54% and the U.S. rate of 65%. This management is more evidenced by China’s copyright developments in the field, with a UN report revealing that Chinese entities submitted over 38,000 generative AI patents from 2014 to 2023, substantially going beyond the United States in patent applications. [58]

Modalities

A generative AI system is built by using without supervision artificial intelligence (conjuring up for circumstances neural network architectures such as generative adversarial networks (GANs), variation autoencoders (VAEs), transformers, or self-supervised machine finding out trained on a dataset. The capabilities of a generative AI system depend upon the modality or kind of the data set used. Generative AI can be either unimodal or multimodal; unimodal systems take only one kind of input, whereas multimodal systems can take more than one type of input. [59] For instance, 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 can natural language processing, maker translation, and natural language generation and can be utilized as foundation models 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 designs can be trained on programs language text, permitting them to generate source code for brand-new computer system programs. [63] Examples consist of OpenAI Codex and the VS Code fork Cursor. [64]

Images

Producing premium 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 Artificial intelligence art, Generative art, and Synthetic media). They are typically utilized for text-to-image generation and neural style transfer. [66] Datasets include 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 abilities. An early leader in this field was 15. ai, released in March 2020, which showed the ability to clone character voices using as low as 15 seconds of training data. [67] The site acquired prevalent attention for its capability to produce mentally meaningful speech for various fictional characters, though it was later on taken offline in 2022 due to copyright issues. [68] [69] [70] Commercial alternatives consequently emerged, consisting of ElevenLabs’ context-aware synthesis tools and Meta Platform’s Voicebox. [71]

Generative AI systems such as MusicLM [72] and MusicGen [73] can also be trained on the audio waveforms of taped music together with text annotations, in order to produce 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 actually been created, like the song Savages, which used AI to simulate rapper Jay-Z’s vocals. Music artist’s instrumentals and lyrics are copyrighted however their voices aren’t protected from regenerative AI yet, raising an argument about whether artists ought to get royalties from audio deepfakes. [74]

Many AI music generators have been developed that can be created 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 clips. 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 also be trained on the motions of a robotic system to produce new trajectories for motion preparation or navigation. For instance, UniPi from Google Research utilizes triggers like “get blue bowl” or “wipe plate with yellow sponge” to manage motions of a robotic arm. [78] Multimodal “vision-language-action” models such as Google’s RT-2 can perform rudimentary thinking in response to user triggers and visual input, such as getting a toy dinosaur when given the prompt choice up the extinct animal at a table filled with toy animals and other objects. [79]

3D modeling

Artificially intelligent 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 could also be established using linked open data of schematics and diagrams. [81] AI CAD assistants are used as tools to assist simplify workflow. [82]

Software and hardware

Generative AI models are used to power chatbot products such as ChatGPT, shows tools such as GitHub Copilot, [83] text-to-image items such as Midjourney, and text-to-video products such as Runway Gen-2. [84] Generative AI features have actually been integrated into a variety of existing commercially 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 readily available as open-source software application, including Stable Diffusion and the LLaMA [88] language model.

Smaller generative AI designs with as much as a few billion criteria can work on smartphones, ingrained gadgets, and personal computers. For example, LLaMA-7B (a version with 7 billion specifications) can operate on a Raspberry Pi 4 [89] and one version of Stable Diffusion can run on an iPhone 11. [90]

Larger designs with 10s of billions of criteria can run on laptop or home computer. To achieve an appropriate speed, designs of this size may require accelerators such as the GPU chips produced by NVIDIA and AMD or the Neural Engine consisted of in Apple silicon items. For example, the 65 billion criterion variation of LLaMA can be set up to operate on a desktop PC. [91]

The benefits of running generative AI in your area consist of defense of privacy and intellectual residential or commercial property, and avoidance of rate limiting and censorship. The subreddit r/LocalLLaMA in particular focuses on using consumer-grade video gaming graphics cards [92] through such strategies as compression. That online forum is among only 2 sources Andrej Karpathy trusts for language model benchmarks. [93] Yann LeCun has advocated open-source designs for their worth to vertical applications [94] and for improving AI security. [95]

Language designs with hundreds of billions of criteria, such as GPT-4 or PaLM, normally operate on datacenter computer systems geared up with ranges of GPUs (such as NVIDIA’s H100) or AI accelerator chips (such as Google’s TPU). These very big models are normally accessed as cloud services online.

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

There is free software application on the marketplace capable of recognizing text created by generative expert system (such as GPTZero), as well as images, audio or video coming from it. [99] Potential mitigation methods for identifying generative AI content include digital watermarking, material authentication, info retrieval, and device knowing classifier models. [100] Despite claims of precision, both totally free and paid AI text detectors have often produced false positives, incorrectly accusing students of sending AI-generated work. [101] [102]

Law and guideline

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 content. [103] In October 2023, Executive Order 14110 used the Defense Production Act to require all US business to report details to the federal government when training particular high-impact AI models. [104] [105]

In the European Union, the proposed Artificial Intelligence Act includes requirements to reveal copyrighted product utilized to train generative AI systems, and to label 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 includes requirements to watermark produced images or videos, policies on training information and label quality, limitations on personal data collection, and a standard that generative AI should “comply with socialist core worths”. [108] [109]

Copyright

Training with copyrighted content

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

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

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

Copyright of AI-generated material

A separate question is whether AI-generated works can receive copyright defense. The United States Copyright Office has ruled that works created by artificial intelligence with no human input can not be copyrighted, since they do not have human authorship. [116] However, the workplace has likewise begun taking public input to identify if these rules need to be improved for generative AI. [117]

Concerns

The advancement of generative AI has raised issues from governments, organizations, and people, resulting in demonstrations, legal actions, contacts us to stop briefly AI experiments, and actions by numerous federal governments. In a July 2023 instruction of the United Nations Security Council, Secretary-General António Guterres mentioned “Generative AI has huge capacity for excellent and evil at scale”, that AI might “turbocharge worldwide development” and contribute between $10 and $15 trillion to the worldwide economy by 2030, but that its destructive use “could trigger dreadful levels of death and damage, extensive injury, and deep psychological damage on an unimaginable scale”. [118]

Job losses

From the early days of the development of AI, there have actually been arguments put forward by ELIZA developer Joseph Weizenbaum and others about whether tasks that can be done by computer systems actually ought to be done by them, provided the difference between computers and human beings, and between quantitative calculations and qualitative, value-based judgements. [120] In April 2023, it was reported that image generation AI has resulted in 70% of the tasks for computer game illustrators in China being lost. [121] [122] In July 2023, developments in generative AI contributed to the 2023 Hollywood labor conflicts. Fran Drescher, president of the Screen Actors Guild, declared that “expert system presents an existential hazard to imaginative professions” during the 2023 SAG-AFTRA strike. [123] Voice generation AI has actually been viewed as a potential challenge to the voice acting sector. [124] [125]

The intersection of AI and employment issues amongst underrepresented groups internationally remains a critical aspect. While AI assures efficiency improvements and skill acquisition, issues 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 actions encompass mitigating predispositions, advocating openness, appreciating personal privacy and permission, and welcoming diverse groups and ethical considerations. Strategies involve redirecting policy focus on guideline, inclusive style, and education’s capacity for individualized mentor to maximize advantages while decreasing harms. [126]

Racial and gender predisposition

Generative AI designs can reflect and amplify any cultural predisposition present in the underlying information. For instance, a language model may presume that doctors and judges are male, which secretaries or nurses are female, if those biases prevail in the training data. [127] Similarly, an image design prompted with the text “a picture of a CEO” may disproportionately create pictures of white male CEOs, [128] if trained on a racially prejudiced information set. A variety of techniques for alleviating predisposition have actually been attempted, such as changing input prompts [129] and reweighting training information. [130]

Deepfakes

Deepfakes (a portmanteau of “deep knowing” and “fake” [131] are AI-generated media that take an individual in an existing image or video and replace them with somebody else’s similarity using artificial neural networks. [132] Deepfakes have actually amassed prevalent attention and concerns for their usages in deepfake star pornographic videos, revenge pornography, phony news, scams, health disinformation, financial fraud, and concealed foreign election interference. [133] [134] [135] [136] [137] [138] [139] This has elicited responses from both industry and government to find and limit their use. [140] [141]

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

In April 2024, a paper proposed to utilize blockchain (distributed ledger innovation) to promote “openness, verifiability, and decentralization in AI advancement and use”. [144]

Audio deepfakes

Instances of users abusing software to create controversial declarations in the singing style of celebrities, public authorities, and other famous people have actually raised ethical issues over voice generation AI. [145] [146] [147] [148] [149] [150] In reaction, business such as ElevenLabs have actually specified that they would work on mitigating possible abuse through safeguards and identity confirmation. [151]

Concerns and fandoms have actually spawned from AI-generated music. The exact same software utilized to clone voices has been utilized on famous musicians’ voices to produce songs that mimic their voices, acquiring both tremendous appeal and criticism. [152] [153] [154] Similar strategies have actually likewise been utilized to develop improved quality or full-length variations of songs that have been leaked or have yet to be released. [155]

Generative AI has actually also been used to create new digital artist characters, with a few of these receiving enough attention to receive record offers at significant labels. [156] The designers of these virtual artists have also faced their reasonable share of criticism for their personified programs, consisting of backlash for “dehumanizing” an artform, and likewise developing artists which develop impractical or immoral appeals to their audiences. [157]

Cybercrime

Generative AI’s ability to produce practical phony material has been made use of in various kinds of cybercrime, including phishing scams. [158] Deepfake video and audio have been utilized to develop disinformation and scams. In 2020, previous Google click scams czar Shuman Ghosemajumder argued that once deepfake videos become perfectly realistic, they would stop appearing exceptional to viewers, potentially causing uncritical acceptance of false details. [159] Additionally, big language models and other forms of text-generation AI have been utilized to create phony reviews of e-commerce websites to improve rankings. [160] Cybercriminals have actually developed big language designs focused on fraud, including WormGPT and FraudGPT. [161]

A 2023 research study revealed that generative AI can be susceptible to jailbreaks, reverse psychology and prompt injection attacks, making it possible for enemies to acquire help with hazardous demands, such as for crafting social engineering and phishing attacks. [162] Additionally, other scientists have shown that open-source designs can be fine-tuned to remove their security constraints at low cost. [163]

Reliance on market giants

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

Energy and environment

Scientists and reporters have revealed concerns about the ecological effect that the advancement and implementation of generative designs are having: high CO2 emissions, [165] [166] [167] large quantities of freshwater used for data centers, [168] [169] and high quantities of electrical energy use. [170] [166] [171] There is also concern that these effects may increase as these models are included into widely used online search engine such as Google Search and Bing; [170] as chatbots and other applications become more popular; [170] [169] and as designs need to be re-trained. [170]

Proposed mitigation strategies include factoring potential environmental expenses prior to design development or data collection, [165] increasing efficiency of information centers to lower electricity/energy usage, [168] [170] [166] [169] [171] [167] building more effective machine finding out models, [168] [166] [169] minimizing the variety of times that designs need to be retrained, [167] developing a government-directed framework for auditing the ecological effect of these designs, [168] [167] managing for openness of these models, [167] controling their energy and water usage, [168] motivating researchers to publish information on their models’ carbon footprint, [170] [167] and increasing the variety of topic experts who comprehend both artificial intelligence and environment science. [167]

Content quality

The New York Times defines slop as analogous to spam: “substandard or unwanted A.I. content in social networks, art, books and … in search engine result.” [172] Journalists have revealed issues about the scale of low-grade generated material with regard to social networks content small amounts, [173] the monetary rewards from social media business to spread such material, [173] [174] false political messaging, [174] spamming of scientific research paper submissions, [175] increased time and effort to discover greater quality or desired material on the Internet, [176] the indexing of generated content by online search engine, [177] and on journalism itself. [178]

A paper published by scientists at Amazon Web Services AI Labs discovered that over 57% of sentences from a sample of over 6 billion sentences from Common Crawl, a snapshot of websites, were device equated. A lot of these automated translations were seen as lower quality, specifically for sentences that were equated across at least 3 languages. Many lower-resource languages (ex. Wolof, Xhosa) were translated 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 calculated word frequencies based on text from the Internet, revealed that she had actually stopped updating the data for a number of factors: high costs for acquiring data from Reddit and Twitter, extreme concentrate on generative AI compared to other methods in the natural language processing community, which “generative AI has contaminated the information”. [181]

The adoption of generative AI tools caused a surge of AI-generated material across multiple domains. A research study from University College London estimated that in 2023, more than 60,000 scholarly articles-over 1% of all publications-were likely written with LLM support. [182] According to Stanford University’s Institute for Human-Centered AI, around 17.5% of recently published computer technology documents and 16.9% of peer evaluation text now include content generated by LLMs. [183]

Visual material follows a comparable pattern. Since the launch of DALL-E 2 in 2022, it is estimated that approximately 34 million images have been created daily. Since August 2023, more than 15 billion images had actually been produced using text-to-image algorithms, with 80% of these developed by designs based upon Stable Diffusion. [184]

If AI-generated content is consisted of in brand-new data crawls from the Internet for extra training of AI models, flaws in the resulting models may occur. [185] Training an AI design solely on the output of another AI model produces a lower-quality model. Repeating this procedure, where each new design is trained on the previous model’s output, causes progressive deterioration and eventually leads to a “design collapse” after numerous versions. [186] Tests have been conducted with pattern recognition of handwritten letters and with images of human faces. [187] As an effect, the value of data collected from authentic human interactions with systems might become significantly important in the presence of LLM-generated content in data crawled from the Internet.

On the other side, synthetic data is frequently utilized as an alternative to data produced by real-world occasions. Such information can be released to verify mathematical designs and to train artificial intelligence designs while maintaining user privacy, [188] including for structured information. [189] The technique is not limited to text generation; image generation has actually been utilized to train computer system vision models. [190]

Misuse in journalism

In January 2023, Futurism.com broke the story that CNET had been using a concealed internal AI tool to compose a minimum of 77 of its stories; after the news broke, CNET published corrections to 41 of the stories. [191]

In April 2023, the German tabloid Die Aktuelle published a phony AI-generated interview with former racing chauffeur Michael Schumacher, who had actually not made any public appearances since 2013 after sustaining a brain injury in a skiing mishap. The story consisted of two possible disclosures: the cover included the line “stealthily real”, and the interview consisted of an acknowledgment at the end that it was AI-generated. The editor-in-chief was fired soon thereafter amidst the debate. [192]

Other outlets that have released articles whose material and/or byline have been verified or thought to be created by generative AI designs – typically with false material, errors, and/or non-disclosure of generative AI usage – consist of:

– 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 kept in mind that a content management system video by AdVon Commerce, who had actually used generative AI to produce short articles for a lot of the previously mentioned outlets, appeared to reveal that they “had actually produced 10s of countless posts for more than 150 publishers.” [201]

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

In 2023, Google apparently pitched a tool to news outlets that claimed to “produce newspaper article” based upon input data supplied, such as “information of existing events”. Some news company executives who saw the pitch described it as” [taking] for given the effort that entered into producing accurate and artful newspaper article.” [224]

In February 2024, Google introduced a program to pay little publishers to write three short articles each day using a beta generative AI design. The program does not need the knowledge or consent of the websites that the publishers are using as sources, nor does it need the released posts to be identified as being produced or helped by these designs. [225]

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

United States Senators Richard Blumenthal and Amy Klobuchar have expressed issue that generative AI might have a damaging effect on regional news. [234] In July 2023, OpenAI partnered with the American Journalism Project to fund regional news outlets for try out generative AI, with Axios keeping in mind the possibility of generative AI business developing a dependence for these news outlets. [235]

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

In reaction to prospective mistakes around the use and misuse of generative AI in journalism and stress over decreasing audience trust, outlets around the world, consisting of publications such as Wired, Associated Press, The Quint, Rappler or The Guardian have published guidelines around how they plan to use 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 survey of individuals in America and Europe, Reuters Institute reports that 52% and 47% respectively are uncomfortable with news produced by “mostly 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 “mainly human with some assistance from AI”. The outcomes of worldwide studies reported that people were more unpleasant with news subjects consisting of politics (46%), criminal activity (43%), and regional news (37%) produced by AI than other news subjects. [241]

Computer programs portal

Technology website

Artificial general intelligence – Type of AI with wide-ranging capabilities
Artificial creativity – Artificial simulation of human creativity
Artificial intelligence art – Visual media developed with AI
Artificial life – Field of research study
Chatbot – Program that replicates conversation
Computational imagination – Multidisciplinary endeavour
Generative adversarial network – Deep learning technique
Generative pre-trained transformer – Kind of big language model
Large language design – Kind of artificial intelligence model
Music and expert system – Usage of expert system to generate music
Generative AI porn – Explicit material produced by generative AI
Procedural generation – Method in which information is produced algorithmically as opposed to manually
Retrieval-augmented generation – Kind of information retrieval using LLMs
Stochastic parrot – Term utilized in machine knowing

References

^ Newsom, Gavin; Weber, Shirley N. (September 5, 2023). “Executive Order N-12-23” (PDF). Executive Department, State of California. Archived (PDF) from the initial 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). “Artificial Intelligence Glossary: Neural Networks and Other Terms Explained”. The New York Times. ISSN 0362-4331. Archived from the initial 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 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 original 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 City Times. Archived from the original 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 City Times. ISSN 0362-4331. Archived from the initial on February 15, 2024. Retrieved February 16, 2024.
^ “The race of the AI labs warms up”. The Economist. January 30, 2023. Archived from the initial on November 17, 2023. Retrieved March 14, 2023.
^ Yang, June; Gokturk, Burak (March 14, 2023). “Google Cloud brings generative AI to designers, organizations, 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 initial on March 28, 2024, retrieved January 21, 2024
^ “Don’t fear an AI-induced jobs apocalypse just yet”. The Economist. March 6, 2023. Archived from the original on November 17, 2023. Retrieved March 14, 2023.
^ Coyle, Jake (September 27, 2023). “In Hollywood authors’ battle versus AI, people win (in the meantime)”. AP News. Associated Press. Archived from the original on April 3, 2024. Retrieved January 26, 2024.
^ Harreis, H.; Koullias, T.; Roberts, Roger. “Generative AI: Unlocking the future of style”. 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 refilled? Fears about the effect of generative AI on false information are overblown”. Harvard Kennedy School Misinformation Review. doi:10.37016/ mr-2020-127. S2CID 264113883. Archived from the initial 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 original 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 Look For Expert System. New York, New York City: 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 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 aided procedure preparation: the cutting edge survey”. 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 planning 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 Air 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.). An Autonomous Spacecraft Agent Prototype. Autonomous Robots Volume 5, No. 1. pp. 29-45. Our deliberator is a traditional generative AI coordinator based upon the HSTS preparation structure (Muscettola, 1994), and our control component is a traditional spacecraft attitude control system (Hackney et al. 1993). We also include an architectural element explicitly committed to world modeling (the mode identifier), and distinguish between control and tracking.
^ Jebara, Tony (2012 ). Artificial intelligence: 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). “An Extensive 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 initial on May 19, 2023. Retrieved May 19, 2023.
^ Radford, Alec; Wu, Jeffrey; Child, Rewon; Luan, David; Amodei, Dario; Sutskever, Ilya (2019 ). “Language models are not being watched multitask students” (PDF). OpenAI Blog.
^ Radford, Alec (June 11, 2018). “Improving language comprehending with not being watched knowing”. OpenAI. Retrieved October 6, 2024.
^ Chandraseta, Rionaldi (January 21, 2021). “Generate Your Favourite Characters’ Voice Lines using Machine Learning”. Towards Data Science. Retrieved December 18, 2024.
^ Temitope, Yusuf (December 10, 2024). “15. ai Creator reveals 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 original 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 produces possible pictures of literally 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 replace 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) Artificial Intelligence in Research and Science”. Journal of Infotech. 38 (2 ): 232-238. doi:10.1177/ 02683962231200411. S2CID 261753752.
^ “Meta open-sources multisensory AI design that combines six kinds of data”. 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-a powerful AI model it states can exceed 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 reveals 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 fast brand-new AI design – and a clever brand-new way to interact with chatbots”. The Verge. Retrieved June 22, 2024.
^ Baptista, Eduardo (July 9, 2024). “China leads the world in adoption of generative AI, survey shows”. 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 original on March 30, 2023. Retrieved March 17, 2023.
^ Roose, Kevin (February 16, 2023). “Bing’s A.I. Chat: ‘I Want to Be Alive.'”. The New York Times. Archived from the original 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 chances and threats of foundation models”. 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]
^ “Buying 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 using Artificial intelligence”. Towards Data Science. Archived from the initial 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 original 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 original 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 keep in mind that just English voices are available.; Another significant function of 15. ai is its rich emotional expression.] ^ Desai, Saahil (July 17, 2023). “A Voicebot Just Left Me Speechless”. The Atlantic. Archived from the original 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 stated that it used 20,000 hours of licensed music to train MusicGen, that included 10,000 “premium” certified music tracks. At the time, Meta’s scientists detailed in a paper the ethical challenges that they came across around the advancement of generative AI models like MusicGen”. Archived from the original on August 15, 2023.
^ “Jay-Z’s Delaware manufacturer triggers debate over AI rights”. Archived from the original on February 27, 2024. Retrieved February 27, 2024.
^ “10 “Best” AI Music Generators (April 2024) – Unite.AI”. October 19, 2022. Archived from the original 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 Times. Archived from the initial 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 initial 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 initial 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 original on May 7, 2024. Retrieved February 6, 2024.
^ “Slash CAD design construct times with new AI-driven part production methodology|GlobalSpec”. Archived from the initial 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 protected by style”. 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 announces brand-new design”. The Verge. Archived from the original on September 27, 2023. Retrieved August 15, 2023. Text-to-video is the next frontier for generative AI, though current output is simple. Runway states it’ll be making its brand-new generative video model, Gen-2, offered to users in ‘the coming weeks.’
^ Vanian, Jonathan (March 16, 2023). “Microsoft adds OpenAI innovation to Word and Excel”. CNBC. Archived from the initial on August 15, 2023. Retrieved August 15, 2023. Microsoft is bringing generative synthetic intelligence technologies such as the popular ChatGPT chatting app to its Microsoft 365 suite of service software application … the new A.I. features, called Copilot, will be offered in a few of the business’s most popular business apps, consisting of Word, PowerPoint and Excel.
^ Wilson, Mark (August 15, 2023). “The app’s Memories feature simply got a big 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 recommended names like “a desert adventure”.
^ Sullivan, Laurie (May 23, 2023). “Adobe Adds Generative AI To Photoshop”. MediaPost. Archived from the initial on August 15, 2023. Retrieved August 15, 2023. Generative synthetic intelligence (AI) will turn into one of the most crucial features for innovative designers and online marketers. Adobe on Tuesday revealed a Generative Fill feature in Photoshop to bring Firefly’s AI capabilities into design.
^ Michael Nuñez (July 19, 2023). “LLaMA 2: How to gain access to and use Meta’s flexible open-source chatbot today”. VentureBeat. Archived from the initial on November 3, 2023. Retrieved August 15, 2023. If you desire to run LLaMA 2 on your own device or customize the code, you can download it directly from Hugging Face, a leading platform for sharing AI designs.
^ Pounder, Les (March 25, 2023). “How To Create Your Own AI Chatbot Server With Raspberry Pi 4”. Archived from the initial on August 15, 2023. Retrieved August 15, 2023. Using a Pi 4 with 8GB of RAM, you can develop 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 in your area, 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 initial on August 15, 2023. Retrieved August 15, 2023. To run LLaMA design in the house, you will need a computer build with a powerful GPU that can deal with the large amount of information and computation 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 original on January 7, 2024. Retrieved January 7, 2024.
^ @karpathy (December 20, 2023). “I pretty much only trust two LLM evals right now” (Tweet) – via Twitter.
^ @ylecun (January 5, 2024). “Nabla’s shift from ChatGPT to open source LLMs …” (Tweet) – via Twitter.
^ @ylecun (November 1, 2023). “Open source platforms * increase * safety and security” (Tweet) – by means of Twitter.
^ Nellis, Stephen; Lee, Jane (September 1, 2022). “U.S. officials order Nvidia to halt 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 complying with rigorous U.S. export requirements that restrict 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 recognise phony AI-generated images” (in Italian). October 28, 2023. Archived from the initial 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 original on September 3, 2024. Retrieved September 5, 2024.
^ Fowler, Geoffrey (April 3, 2023). “We tested a brand-new ChatGPT-detector for teachers. It flagged an innocent student”. washingtonpost.com. Archived from the initial on March 28, 2024. Retrieved February 6, 2024.
^ Fowler, Geoffrey (June 2, 2023). “Detecting AI may be difficult. That’s a big problem for instructors”. washingtonpost.com. Archived from the initial on June 3, 2023. Retrieved February 6, 2024.
^ Bartz, Diane; Hu, Krystal (July 21, 2023). “OpenAI, Google, others promise to watermark AI content for security, White House says”. Reuters. Archived from the initial on July 27, 2023.
^ “FACT SHEET: President Biden Issues Executive Order on Safe, Secure, and Trustworthy Expert System”. 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 initial on February 17, 2024. Retrieved February 17, 2024.
^ “EU AI Act: first guideline on expert system”. European Parliament. August 6, 2023. Retrieved September 13, 2024.
^ Chee, Foo Yun; Mukherjee, Supantha (June 14, 2023). “EU legislators elect tougher AI guidelines as draft transfer to final phase”. Reuters. Archived from the original on July 27, 2023. Retrieved July 26, 2023.
^ Ye, Josh (July 13, 2023). “China says generative AI guidelines to apply just to items for the public”. Reuters. Archived from the original 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 initial 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 utilizing its stories to train chatbots”. Associated Press News. AP News. Archived from the initial on December 27, 2023. Retrieved April 13, 2023.
^ O’Brien, Matt (September 25, 2023). “Photo huge Getty took a leading AI image-maker to court. Now it’s likewise 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 Beginning”. Wired. Archived from the initial on January 19, 2024. Retrieved January 19, 2024.
^ Bruell, Alexandra (December 27, 2023). “New York 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 says”. Reuters. Archived from the original on January 20, 2024. Retrieved January 19, 2024.
^ David, Emilla (August 29, 2023). “US Copyright Office wishes to hear what individuals consider AI and copyright”. The Verge. Archived from the original 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 initial 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 currently taking computer game illustrators’ tasks in China”. Rest of World. Archived from the initial on August 13, 2023. Retrieved August 17, 2023.
^ Carter, Justin (April 11, 2023). “China’s video game art industry reportedly annihilated by growing AI utilize”. 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 use of sophisticated tech”. NBC News. Archived from the initial on July 20, 2023. Retrieved July 21, 2023. SAG-AFTRA has actually signed up with the Writer’s [sic] Guild of America in a contract that clearly demands AI policies to protect writers and the works they develop. … The future of generative expert system in Hollywood-and how it can be used to replace labor-has end up being an important sticking point for stars going on strike. In a press conference Thursday, Fran Drescher, president of the Screen Actors Guild-American Federation of Television and Radio Artists (more typically called SAG-AFTRA), declared that ‘synthetic intelligence postures an existential danger to imaginative occupations, and all actors and performers should have agreement language that protects them from having their identity and talent made use of without consent and pay.’
^ Wiggers, Kyle (August 22, 2023). “ElevenLabs’ voice-generating tools introduce out of beta”. TechCrunch. Archived from the original 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 stressed over 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 models are prejudiced. Can reasoning help conserve them?”. MIT CSAIL. Archived from the initial on January 23, 2024. Retrieved January 26, 2024.
^ OpenAI (July 18, 2022). “Reducing predisposition and improving security in DALL · E 2”. OpenAI. Archived from the initial on January 26, 2024. Retrieved January 26, 2024.
^ Jake Traylor (July 27, 2022). “No quick repair: How OpenAI’s DALL · E 2 highlighted the challenges of bias in AI”. NBC News. Archived from the original on January 26, 2024. Retrieved January 26, 2024.
^ “DALL · E 2 pre-training mitigations”. OpenAI. June 28, 2022. Archived from the initial 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 original 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 original on July 14, 2021. Retrieved February 20, 2018.
^ “Experts fear face switching tech could begin an international showdown”. The Outline. Archived from the initial on January 16, 2020. Retrieved February 28, 2018.
^ Roose, Kevin (March 4, 2018). “Here Come the Fake Videos, Too”. The New York City 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 original on February 4, 2024. Retrieved February 4, 2024.
^ Chalfant, Morgan (March 6, 2024). “U.S. braces for foreign interference 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 enhance anti-U.S. impact campaigns, authorities state”. The Washington Post. ISSN 0190-8286. Archived from the original 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 initial 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 battle 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 difficulties of generative innovations: Proposing the integration of expert system 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 initial on December 25, 2023. Retrieved July 25, 2023.
^ “The generative A.I. software race has actually 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 risk from AI-driven disinformation, state experts”. The Guardian. ISSN 0261-3077. Archived from the original on November 16, 2023. Retrieved July 25, 2023.
^ “Seeing is thinking? Global scramble to tackle deepfakes”. news.yahoo.com. Archived from the initial on February 3, 2023. Retrieved February 3, 2023.
^ Vincent, James (January 31, 2023). “4chan users welcome AI voice clone tool to produce star 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 initial on October 29, 2023. Retrieved July 25, 2023.
^ “A brand-new AI voice tool is currently being abused to make deepfake celebrity audio clips”. Engadget. January 31, 2023. Archived from the initial on October 10, 2023. Retrieved February 3, 2023.
^ Gee, Andre (April 20, 2023). “Even If AI-Generated Rap Songs Go Viral Doesn’t Mean They’re Good”. Rolling Stone. Archived from the original 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 City Times. Archived from the original on May 15, 2023. Retrieved December 5, 2023.
^ Lippiello, Emily; Smith, Nathan; Pereira, Ivan (November 3, 2023). “AI tunes 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 initial 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 initial on December 4, 2023. Retrieved December 6, 2023.
^ Thaler, Shannon (September 8, 2023). “Warner Music indications 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 original on July 31, 2023. Retrieved July 31, 2023.
^ Sonnemaker, Tyler. “As social media platforms brace for the inbound wave of deepfakes, Google’s previous ‘fraud czar’ predicts the biggest threat is that deepfakes will eventually 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 takes off?”. 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 original 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 models 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 implies for climate change”. MIT Technology Review. May 23, 2024. Archived from the initial on August 20, 2024. Retrieved August 27, 2024.
^ a b c d e f g Dhar, Payal (August 1, 2020). “The carbon effect of artificial intelligence”. Nature Machine Intelligence. 2 (8 ): 423-425. doi:10.1038/ s42256-020-0219-9. ISSN 2522-5839. Archived from the initial on August 14, 2024.
^ a b c d e Crawford, Kate (February 20, 2024). “Generative AI‘s ecological costs are soaring – and primarily 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 Run out Control. Welcome to the Internet’s Hyper-Consumption Era”. Wired. ISSN 1059-1028. Archived from the initial 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 scientist explains the carbon footprint of ChatGPT and its cousins”. The Conversation. Archived from the initial 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 have actually 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 model suddenly tries to customize its own code to extend runtime”. Ars Technica. Archived from the initial 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 Stunning 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 initial 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 initial on September 19, 2024. Retrieved September 20, 2024. While there has actually always been spam on the web and in the datasets that Wordfreq used, “it was workable and typically identifiable. Large language models produce text that masquerades as real language with intent behind it, although there is none, and their output emerge everywhere,” she composed. She offers the example that ChatGPT excessive uses the word “dig,” in a way that people do not, which has tossed off the frequency of this specific word.
^ Gray, Andrew (March 24, 2024). “ChatGPT “contamination”: estimating the occurrence of LLMs in the scholarly literature”. arXiv:2403.16887 [cs.DL]
^ Kannan, Prabha (May 13, 2024). “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 Risk 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 Artificial Intelligence”. databricks.com. Archived from the initial 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 discovered mistakes 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 promoted Michael Schumacher’s first interview in years. It was really AI”. NPR. April 28, 2023. Archived from the original on June 17, 2023. Retrieved June 17, 2023.
^ Al-Sibai, Noor (January 3, 2024). “Police Say AI-Generated Article About Local Murder Is “Entirely” Made Up”. Futurism. Archived from the initial on January 5, 2024. Retrieved January 8, 2024.
^ “NewsBreak: Most downloaded US news app has Chinese roots and ‘writes fiction’ using AI”. Reuters. June 5, 2024. Archived from the original 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 Phony Person”. PetaPixel. Archived from the original 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 original on January 4, 2024. Retrieved January 8, 2024.
^ Buchanan, Tyler (August 28, 2023). “Dispatch stops briefly AI sports composing program”. Axios. Archived from the initial on January 1, 2024. Retrieved January 8, 2024.
^ Sommer, Will (October 26, 2023). “Mysterious bylines appeared on an U.S.A. Today website. Did these authors exist?”. Washington Post. ISSN 0190-8286. Archived from the original 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 initial 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 original on November 2, 2023. Retrieved January 8, 2024.
^ Meade, Amanda (July 31, 2023). “News Corp using AI to produce 3,000 Australian regional news stories 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 Transfer 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 internet, 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 original on December 6, 2023. Retrieved January 8, 2024.
^ Stiaplame, Nordiisk (January 28, 2025). “Quartz Is Publishing AI-Generated Articles Based Upon Other AI Slop, Along With 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 short article about ladies’s usage of fake tan”. The Guardian. ISSN 0261-3077. Archived from the initial 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 initial on December 6, 2023. Retrieved January 8, 2024.
^ “Newsweek is making generative AI a fixture 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 regional news, everything – and absolutely nothing”. Nieman Lab. June 3, 2024. Archived from the original on June 6, 2024. Retrieved June 8, 2024.
^ “AI-generated news is here from S.F.-based Hoodline. What does that mean for traditional publishers?”. San Francisco Chronicle. May 8, 2024. Archived from the original on June 5, 2024. Retrieved June 7, 2024.
^ Gold, Hadas (May 30, 2024). “A nationwide network of regional 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 expert system to develop fake quotes and stories”. Associated Press. August 14, 2024. Archived from the original on August 24, 2024. Retrieved August 27, 2024.
^ “Cosmos Magazine releases AI-generated posts, drawing criticism from reporters, co-founders”. ABC News. August 7, 2024. Archived from the original on August 24, 2024. Retrieved August 27, 2024.
^ “AI-generated short articles 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 original on August 11, 2024. Retrieved August 27, 2024.
^ “Apple states it will update AI function after incorrect news informs”. The Guardian. January 7, 2025. Archived from the initial on January 14, 2025. Retrieved January 14, 2025.
^ “TV channels are utilizing AI-generated speakers to read the news. The question 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 initial on January 28, 2024. Retrieved May 24, 2024.
^ Kuo, Lily (November 9, 2018). “World’s first AI news anchor revealed 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 City 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’ Developed Into 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 Precious 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 find 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 currently invading Oregon’s regional journalism”. Oregon Public Broadcasting. December 9, 2024. Archived from the original 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 initial 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 initial on November 13, 2024. Retrieved December 10, 2024.
^ Lima-Strong, Cristiano (January 11, 2024). “Senators warn AI could lead to ‘destruction’ of local news”. Washington Post. ISSN 0190-8286. Archived from the initial on January 11, 2024. Retrieved May 24, 2024.
^ “OpenAI strikes $5 million-plus local news deal”. 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 initial 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 initial on September 23, 2023. Retrieved January 8, 2024.
^ Viner, Katharine; Bateson, Anna (June 16, 2023). “The Guardian’s method to generative AI”. The Guardian. ISSN 0261-3077. Archived from the initial 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 international 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.