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  • Founded Date April 10, 1930
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Generative Artificial Intelligence

Improvements in transformer-based deep neural networks, particularly large language models (LLMs), allowed an AI boom of generative AI systems in the early 2020s. These include chatbots such as ChatGPT, Copilot, Gemini, and LLaMA; text-to-image synthetic 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 many smaller sized companies have developed generative AI designs. [7] [13] [14]

Generative AI has uses throughout a wide variety of industries, consisting of software application advancement, healthcare, financing, entertainment, customer support, [15] sales and marketing, [16] art, writing, [17] style, [18] and product design. [19] However, issues have been raised about the possible abuse of generative AI such as cybercrime, using phony news or deepfakes to deceive or manipulate individuals, and the mass replacement of human jobs. [20] [21] Copyright law concerns likewise exist around generative models that are trained on and imitate copyrighted masterpieces. [22]

Early history

Since its inception, researchers in the field have raised philosophical and ethical arguments about the nature of the human mind and the repercussions of creating synthetic beings with human-like intelligence; these concerns have actually previously been explored by misconception, fiction and approach since antiquity. [23] The idea of automated art dates back a minimum of to the robot of ancient Greek civilization, where innovators such as Daedalus and Hero of Alexandria were referred to as having developed devices capable of writing text, generating noises, and playing music. [24] [25] The custom of innovative automations has actually grown throughout history, exemplified by Maillardet’s robot produced in the early 1800s. [26] Markov chains have long been used to design natural languages because their development by Russian mathematician Andrey Markov in the early 20th century. Markov released his very first paper on the topic in 1906, [27] [28] and analyzed the pattern of vowels and consonants in the novel Eugeny Onegin utilizing Markov chains. Once a Markov chain is discovered on a text corpus, it can then be used as a probabilistic text generator. [29] [30]

Academic artificial intelligence

The academic discipline of expert system was established at a research workshop held at Dartmouth College in 1956 and has actually experienced numerous waves of development and optimism in the decades given that. [31] Expert system research 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 scientists have used artificial intelligence to develop creative works. By the early 1970s, Harold Cohen was creating and exhibiting generative AI works created by AARON, the computer program Cohen developed to generate paintings. [32]

The terms generative AI preparation or generative preparation were utilized in the 1980s and 1990s to describe AI planning systems, especially computer-aided procedure planning, utilized to produce sequences of actions to reach a specified objective. [33] [34] Generative AI planning systems used symbolic AI methods such as state area search and restraint fulfillment and were a “reasonably mature” innovation by the early 1990s. They were used to generate crisis action prepare for military use, [35] procedure plans for making [33] and choice strategies such as in model autonomous spacecraft. [36]

Generative neural internet (2014-2019)

Since its beginning, the field of artificial intelligence used both discriminative designs and generative models, to model and predict information. Beginning in the late 2000s, the emergence of deep knowing drove development and research study in image classification, speech recognition, natural language processing and other tasks. Neural networks in this age were generally trained as discriminative models, due to the trouble of generative modeling. [37]

In 2014, improvements such as the variational autoencoder and generative adversarial network produced the first useful deep neural networks efficient in discovering generative designs, rather than discriminative ones, for intricate data such as images. These deep generative models were the first to output not just class labels for images however also whole images.

In 2017, the Transformer network enabled improvements in generative models compared to older Long-Short Term Memory models, [38] leading to the 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 several tasks as a Structure model. [40]

The new generative models introduced during this period permitted big neural networks to be trained utilizing not being watched knowing or semi-supervised knowing, instead of the supervised knowing common of discriminative designs. Unsupervised knowing removed the requirement for humans to manually label information, permitting larger networks to be trained. [41]

Generative AI boom (2020-)

In March 2020, 15. ai, produced by an anonymous MIT researcher, was a totally free web application that could create convincing character voices utilizing very little training information. [42] The platform is credited as the very first mainstream service to popularize AI voice cloning (audio deepfakes) in memes and content creation, affecting subsequent advancements 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 unmatched abilities in producing photorealistic images, art work, and creates based upon text descriptions, resulting in extensive adoption among artists, designers, and the public.

In late 2022, the public release of ChatGPT changed the ease of access and application of generative AI for general-purpose text-based jobs. [47] The system’s ability to participate in natural discussions, generate creative material, help with coding, and perform numerous analytical jobs caught worldwide attention and triggered widespread discussion about AI’s prospective influence on work, education, and creativity. [48]

In March 2023, GPT-4’s release represented another jump in generative AI capabilities. A group from Microsoft Research controversially argued that it “could reasonably be viewed as an early (yet still incomplete) version of a synthetic 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 benchmark of ‘basic human intelligence'” since 2023. [50] Later in 2023, Meta released ImageBind, an AI model combining multiple methods including text, images, video, thermal information, 3D data, audio, and movement, leading the way for more immersive generative AI applications. [51]

In December 2023, Google revealed Gemini, a multimodal AI design readily available in 4 versions: Ultra, Pro, Flash, and Nano. [52] The company incorporated Gemini Pro into its Bard chatbot and announced prepare for “Bard Advanced” powered by the bigger Gemini Ultra model. [53] In February 2024, Google merged Bard and Duet AI under the Gemini brand name, releasing a mobile app on Android and integrating 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 models demonstrated substantial improvements in capabilities throughout different criteria, with Claude 3 Opus especially outperforming leading models from OpenAI and Google. [56] In June 2024, Anthropic launched Claude 3.5 Sonnet, which showed improved performance compared to the larger Claude 3 Opus, especially in locations such as coding, multistep workflows, and image analysis. [57]

According to a study by SAS and Coleman Parkes Research, China has become a global leader in generative AI adoption, with 83% of Chinese participants utilizing the innovation, exceeding both the worldwide average of 54% and the U.S. rate of 65%. This leadership is further evidenced by China’s copyright developments in the field, with a UN report exposing that Chinese entities filed over 38,000 generative AI patents from 2014 to 2023, substantially surpassing the United States in patent applications. [58]

Modalities

A generative AI system is constructed by using not being watched artificial intelligence (conjuring up 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 abilities of a generative AI system depend on the method or kind of the information set used. Generative AI can be either unimodal or multimodal; unimodal systems take just one kind of input, whereas multimodal systems can take more than one type of input. [59] For instance, one version 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 big language designs). They can natural language processing, maker translation, and natural language generation and can be utilized as foundation models for other tasks. [62] Data sets consist of BookCorpus, Wikipedia, and others (see List of text corpora).

Code

In addition to natural language text, large language designs can be trained on programming language text, allowing them to produce source code for brand-new computer programs. [63] Examples consist of 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 include Imagen, DALL-E, Midjourney, Adobe Firefly, FLUX.1, Stable Diffusion and others (see Expert system art, Generative art, and Synthetic media). They are commonly 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 extensively 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 showed the ability to clone character voices utilizing as little as 15 seconds of training information. [67] The site got extensive attention for its ability to produce emotionally expressive speech for various fictional characters, though it was later taken offline in 2022 due to copyright concerns. [68] [69] [70] Commercial alternatives 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 documented music together with text annotations, in order to generate brand-new musical samples based upon text descriptions such as a relaxing violin tune backed by a distorted guitar riff.

Music

Audio deepfakes of lyrics have been produced, like the tune Savages, which used AI to simulate rapper Jay-Z’s vocals. Music artist’s instrumentals and lyrics are copyrighted however their voices aren’t safeguarded from regenerative AI yet, raising a dispute about whether artists must get royalties from audio deepfakes. [74]

Many AI music generators have been created that can be generated utilizing a text phrase, genre options, and looped libraries of bars and riffs. [75]

Video

Generative AI trained on annotated video can generate temporally-coherent, comprehensive and photorealistic video clips. Examples consist of 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 create brand-new trajectories for motion preparation or navigation. For instance, UniPi from Google Research uses triggers like “select up 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 simple reasoning in reaction to user triggers and visual input, such as getting a toy dinosaur when provided 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 use text-to-3D, image-to-3D, and video-to-3D to automate 3D modeling. [80] AI-based CAD libraries might likewise be established using linked open data of schematics and diagrams. [81] AI CAD assistants are used as tools to assist enhance workflow. [82]

Software and hardware

Generative AI models are utilized to power chatbot items such as ChatGPT, shows tools such as GitHub Copilot, [83] text-to-image products such as Midjourney, and text-to-video products such as Runway Gen-2. [84] Generative AI features have been incorporated 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 also offered as open-source software application, consisting of Stable Diffusion and the LLaMA [88] language design.

Smaller generative AI models with up to a couple of billion criteria can operate on smart devices, ingrained gadgets, and desktop computers. For instance, LLaMA-7B (a version with 7 billion criteria) can operate on a Raspberry Pi 4 [89] and one variation of Stable Diffusion can work on an iPhone 11. [90]

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

The benefits of running generative AI locally include security of personal privacy and copyright, and avoidance of rate restricting and censorship. The subreddit r/LocalLLaMA in specific concentrates on utilizing consumer-grade gaming graphics cards [92] through such techniques as compression. That forum is among only two sources Andrej Karpathy trusts for language model criteria. [93] Yann LeCun has actually promoted open-source models for their worth to vertical applications [94] and for enhancing AI security. [95]

Language models with numerous billions of parameters, such as GPT-4 or PaLM, normally run on datacenter computer systems equipped with ranges of GPUs (such as NVIDIA’s H100) or AI accelerator chips (such as Google’s TPU). These really large models are normally accessed as cloud services over the Internet.

In 2022, the United States New Export Controls on Advanced Computing and Semiconductors to China enforced 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 totally free software application on the market efficient in acknowledging text generated by generative expert system (such as GPTZero), as well as images, audio or video coming from it. [99] Potential mitigation strategies for detecting generative AI material consist of digital watermarking, content authentication, information retrieval, and maker learning classifier designs. [100] Despite claims of precision, both totally free and paid AI text detectors have actually frequently produced incorrect positives, mistakenly implicating students of submitting AI-generated work. [101] [102]

Law and policy

In the United States, a group of business consisting of 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 used the Defense Production Act to need all US business to report information to the federal government when training certain high-impact AI designs. [104] [105]

In the European Union, the proposed Expert system Act consists of 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 controls any public-facing generative AI. It consists of requirements to watermark produced images or videos, regulations on training data and label quality, constraints on individual information collection, and a standard that generative AI need to “abide by 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 reasonable use, while copyright holders have argued that it infringes their rights. [110]

Proponents of reasonable use training have argued that it is a transformative usage and does not involve making copies of copyrighted works readily available to the 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 take on the material they are trained on. [112]

As of 2024, several suits connected to using copyrighted material in training are continuous. Getty Images has sued 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 the usage of their works to train ChatGPT. [114] [115]

Copyright of AI-generated material

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

Concerns

The development of generative AI has raised issues from federal governments, organizations, and people, resulting in demonstrations, legal actions, contacts us to stop briefly AI experiments, and actions by several federal governments. In a July 2023 rundown of the United Nations Security Council, Secretary-General António Guterres stated “Generative AI has huge capacity for excellent and wicked at scale”, that AI may “turbocharge worldwide advancement” and contribute between $10 and $15 trillion to the global economy by 2030, but that its harmful usage “might cause dreadful levels of death and damage, prevalent trauma, and deep psychological damage on an unimaginable scale”. [118]

Job losses

From the early days of the advancement of AI, there have actually been arguments put forward by ELIZA creator Joseph Weizenbaum and others about whether jobs that can be done by computer systems really must be done by them, given the difference between computers and humans, and in between quantitative estimations and qualitative, value-based judgements. [120] In April 2023, it was reported that image generation AI has actually led to 70% of the jobs for video game illustrators in China being lost. [121] [122] In July 2023, advancements in generative AI added to the 2023 Hollywood labor disputes. Fran Drescher, president of the Screen Actors Guild, declared that “synthetic intelligence postures an existential threat to creative occupations” throughout the 2023 SAG-AFTRA strike. [123] Voice generation AI has been seen as a potential obstacle to the voice acting sector. [124] [125]

The intersection of AI and work issues among underrepresented groups globally remains an important facet. While AI assures performance enhancements and ability acquisition, issues about task displacement and biased recruiting procedures continue among these groups, as detailed in surveys by Fast Company. To take advantage of AI for a more fair society, proactive steps include mitigating biases, advocating transparency, appreciating privacy and consent, and accepting varied groups and ethical factors to consider. Strategies include rerouting policy emphasis on policy, inclusive design, and education’s potential for personalized mentor to make the most of advantages while decreasing harms. [126]

Racial and gender predisposition

Generative AI models can show and magnify any cultural bias present in the underlying data. For example, a language design might presume that physicians and judges are male, which secretaries or nurses are female, if those predispositions prevail in the training data. [127] Similarly, an image design triggered with the text “a photo of a CEO” may disproportionately generate pictures of white male CEOs, [128] if trained on a racially biased information set. A variety of methods for reducing bias have actually been tried, such as altering input triggers [129] and reweighting training data. [130]

Deepfakes

Deepfakes (a portmanteau of “deep knowing” and “fake” [131] are AI-generated media that take a person in an existing image or video and replace them with somebody else’s similarity using synthetic neural networks. [132] Deepfakes have actually gathered widespread attention and issues for their uses in deepfake star pornographic videos, vengeance porn, fake news, scams, health disinformation, financial scams, and hidden foreign election interference. [133] [134] [135] [136] [137] [138] [139] This has elicited responses from both industry and government to spot and restrict their use. [140] [141]

In July 2023, the fact-checking business Logically discovered 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 pictures 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 use blockchain (distributed journal innovation) to promote “transparency, verifiability, and decentralization in AI development and usage”. [144]

Audio deepfakes

Instances of users abusing software to produce questionable declarations in the vocal design of stars, public officials, and other famous individuals have raised ethical issues over voice generation AI. [145] [146] [147] [148] [149] [150] In response, companies such as ElevenLabs have actually specified that they would deal with mitigating potential abuse through safeguards and identity verification. [151]

Concerns and fandoms have generated from AI-generated music. The same software application used to clone voices has actually been utilized on well-known artists’ voices to develop tunes that mimic their voices, getting both remarkable popularity and criticism. [152] [153] [154] Similar strategies have actually likewise been utilized to produce better quality or full-length variations of tunes that have been dripped or have yet to be launched. [155]

Generative AI has also been used to create new digital artist personalities, with a few of these receiving sufficient attention to receive record deals at significant labels. [156] The developers of these virtual artists have likewise faced their reasonable share of criticism for their personified programs, including backlash for “dehumanizing” an artform, and likewise creating artists which create unrealistic or unethical attract their audiences. [157]

Cybercrime

Generative AI’s ability to create reasonable fake material has actually been exploited in many types of cybercrime, consisting of phishing frauds. [158] Deepfake video and audio have actually been used to create disinformation and scams. In 2020, former Google click scams czar Shuman Ghosemajumder argued that as soon as deepfake videos end up being completely realistic, they would stop appearing exceptional to viewers, potentially leading to uncritical approval of incorrect information. [159] Additionally, large language designs and other forms of text-generation AI have actually been used to create fake reviews of e-commerce websites to enhance ratings. [160] Cybercriminals have created big language designs concentrated on fraud, consisting of WormGPT and FraudGPT. [161]

A 2023 research study revealed that generative AI can be vulnerable to jailbreaks, reverse psychology and timely injection attacks, making it possible for assailants to acquire aid with damaging demands, such as for crafting social engineering and phishing attacks. [162] Additionally, other scientists have actually demonstrated that open-source designs can be fine-tuned to remove their safety constraints at low cost. [163]

Reliance on market giants

Training frontier AI models requires an enormous quantity 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 buying access to data centers from Google and Microsoft respectively. [164]

Energy and environment

Scientists and reporters have revealed concerns about the environmental effect that the advancement and implementation of generative models are having: high CO2 emissions, [165] [166] [167] large quantities of freshwater used for information centers, [168] [169] and high quantities of electricity use. [170] [166] [171] There is also issue that these effects might increase as these models are incorporated into commonly used search engines such as Google Search and Bing; [170] as chatbots and other applications become more popular; [170] [169] and as models require to be re-trained. [170]

Proposed mitigation methods consist of factoring possible environmental expenses prior to design development or information collection, [165] increasing performance of data centers to reduce electricity/energy use, [168] [170] [166] [169] [171] [167] constructing more efficient machine finding out designs, [168] [166] [169] reducing the variety of times that designs need to be re-trained, [167] establishing a government-directed framework for auditing the environmental impact of these designs, [168] [167] controling for openness of these models, [167] controling their energy and water use, [168] motivating scientists to publish data on their designs’ carbon footprint, [170] [167] and increasing the variety of subject matter experts who comprehend both device learning and climate science. [167]

Content quality

The New york city Times specifies slop as analogous to spam: “shoddy or undesirable A.I. content in social networks, art, books and … in search engine result.” [172] Journalists have actually expressed concerns about the scale of low-quality produced material with respect to social media content small amounts, [173] the financial rewards from social media companies to spread out such material, [173] [174] false political messaging, [174] spamming of clinical research study paper submissions, [175] increased time and effort to find higher quality or desired material on the Internet, [176] the indexing of created material by online search engine, [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 picture of web pages, were machine translated. A lot of these automated translations were viewed as lower quality, particularly for sentences that were equated throughout a minimum of 3 languages. Many lower-resource languages (ex. Wolof, Xhosa) were equated throughout 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 upgrading the information for several reasons: high costs for getting data from Reddit and Twitter, extreme concentrate on generative AI compared to other techniques in the natural language processing community, and that “generative AI has contaminated the data”. [181]

The adoption of generative AI tools resulted in an explosion of AI-generated material throughout several domains. A study from University College London estimated that in 2023, more than 60,000 academic articles-over 1% of all publications-were likely composed with LLM assistance. [182] According to Stanford University’s Institute for Human-Centered AI, roughly 17.5% of newly published computer technology papers and 16.9% of peer review text now integrate content created by LLMs. [183]

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

If AI-generated content is consisted of in new information crawls from the Internet for additional training of AI models, flaws in the resulting designs may take place. [185] Training an AI design specifically on the output of another AI model produces a lower-quality design. Repeating this process, where each new model is trained on the previous design’s output, leads to progressive degradation and ultimately results in a “design collapse” after numerous iterations. [186] Tests have been conducted with pattern recognition of handwritten letters and with pictures of human faces. [187] As an effect, the value of information gathered from real human interactions with systems might become progressively valuable in the presence of LLM-generated material in information crawled from the Internet.

On the other side, synthetic data is typically used as an option to data produced by real-world occasions. Such data can be released to validate mathematical designs and to train artificial intelligence models while preserving user privacy, [188] consisting of for structured data. [189] The technique is not limited to text generation; image generation has been employed to train computer vision models. [190]

Misuse in journalism

In January 2023, Futurism.com broke the story that CNET had been utilizing an undisclosed internal AI tool to compose 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 published a fake AI-generated interview with previous racing driver Michael Schumacher, who had not made any public appearances because 2013 after sustaining a brain injury in a skiing accident. The story consisted of 2 possible disclosures: the cover consisted of the line “deceptively real”, and the interview consisted of a recommendation at the end that it was AI-generated. The editor-in-chief was fired shortly thereafter in the middle of the debate. [192]

Other outlets that have actually published articles whose content and/or byline have been verified or believed to be created by generative AI designs – frequently with incorrect material, mistakes, 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 used generative AI to produce short articles for numerous of the previously mentioned outlets, appeared to reveal that they “had produced tens of thousands of short articles for more than 150 publishers.” [201]

News broadcasters in Kuwait, Greece, South Korea, India, China and Taiwan have provided news with anchors based on Generative AI designs, triggering issues about job losses for human anchors and audience rely on news that has actually traditionally been influenced by parasocial relationships with broadcasters, content developers or social networks influencers. [220] [221] [222] Algorithmically produced anchors have actually likewise been used by allies of ISIS for their broadcasts. [223]

In 2023, Google supposedly pitched a tool to news outlets that declared to “produce news stories” based on input information supplied, such as “details of existing occasions”. Some news business executives who saw the pitch explained it as” [taking] for given the effort that entered into producing precise and artful news stories.” [224]

In February 2024, Google launched a program to pay little publishers to write 3 posts per day using a beta generative AI model. The program does not need the understanding or authorization of the websites that the publishers are using as sources, nor does it require the published posts to be labeled as being created or helped by these models. [225]

Many defunct news sites (The Hairpin, The Frisky, Apple Daily, Ashland Daily Tidings, Clayton County Register, Southwest Journal) and blog sites (The Unofficial Apple Weblog, iLounge) have actually undergone 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 hazardous effect on regional news. [234] In July 2023, OpenAI partnered with the American Journalism Project to fund local news outlets for explore generative AI, with Axios keeping in mind the possibility of generative AI business producing a dependency for these news outlets. [235]

Meta AI, a chatbot based upon Llama 3 which summarizes news stories, was noted by The Washington Post to copy sentences from those stories without direct attribution and to potentially additional reduce the traffic of online news outlets. [236]

In action to prospective mistakes around the use and misuse of generative AI in journalism and fret about declining audience trust, outlets worldwide, including publications such as Wired, Associated Press, The Quint, Rappler or The Guardian have actually published guidelines around how they plan 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 uncomfortable with news produced by “mainly AI with some human oversight”, and 23% and 15% respectively report being comfortable. 42% of Americans and 33% of Europeans reported that they were comfortable with news produced by “generally human with some assistance from AI”. The results of worldwide surveys reported that individuals were more uneasy with news topics including politics (46%), criminal activity (43%), and regional news (37%) produced by AI than other news subjects. [241]

Computer programming website

Technology website

Artificial basic intelligence – Type of AI with comprehensive capabilities
Artificial imagination – Artificial simulation of human imagination
Expert system art – Visual media produced with AI
Artificial life – Discipline
Chatbot – Program that replicates conversation
Computational imagination – Multidisciplinary endeavour
Generative adversarial network – Deep knowing method
Generative pre-trained transformer – Type of large language design
Large language design – Kind of artificial intelligence model
Music and synthetic intelligence – Usage of synthetic intelligence to create music
Generative AI pornography – Explicit product produced by generative AI
Procedural generation – Method in which information is created algorithmically instead of manually
Retrieval-augmented generation – Kind of details retrieval using LLMs
Stochastic parrot – Term used 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 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). “Artificial Intelligence Glossary: Neural Networks and Other Terms Explained”. The New York City 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 designs”. 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 initial 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 Times. ISSN 0362-4331. Archived from the original 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 original 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, services, and federal 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, recovered January 21, 2024
^ “Don’t fear an AI-induced jobs apocalypse right now”. 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’ fight versus AI, humans 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 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 clash with 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 City: Macmillan/SAMS. pp. 45-53. ISBN 978-0-672-30412-5.
^ Sharkey, Noel (July 4, 2007), A programmable robot from 60 AD, vol. 2611, New Scientist, archived from the initial on January 13, 2018, retrieved 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 original 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 original 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 Expert System. New York City, 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 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 aided procedure preparation: the state-of-the-art study”. The International Journal of Production Research. 27 (4 ): 553-585. doi:10.1080/ 00207548908942569. Archived from the initial on May 7, 2024. Retrieved October 3, 2023.
^ Chien, Steve (1998 ). “Automated preparation and scheduling for goal-based autonomous 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 standard generative AI planner based on the HSTS planning framework (Muscettola, 1994), and our control element is a standard spacecraft mindset control system (Hackney et al. 1993). We also include an architectural element explicitly devoted to world modeling (the mode identifier), and compare control and monitoring.
^ 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). “A Comprehensive 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 models are unsupervised multitask students” (PDF). OpenAI Blog.
^ Radford, Alec (June 11, 2018). “Improving language understanding with unsupervised learning”. OpenAI. Retrieved October 6, 2024.
^ Chandraseta, Rionaldi (January 21, 2021). “Generate Your Favourite Characters’ Voice Lines using Artificial intelligence”. 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 original on December 26, 2024. Retrieved December 18, 2024. While AI voice memes have been around in some form given that ’15. ai’ launched in 2020, […] ^ Coldewey, Devin (January 5, 2021). “OpenAI’s DALL-E produces plausible pictures 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 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 Information Technology. 38 (2 ): 232-238. doi:10.1177/ 02683962231200411. S2CID 261753752.
^ “Meta open-sources multisensory AI model that integrates six types 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 initial on December 6, 2023. Retrieved December 6, 2023.
^ Edwards, Benj (December 6, 2023). “Google launches Gemini-a powerful AI model it says 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, exceeding GPT-4 and Gemini Ultra in benchmark tests”. Venture Beat. Retrieved April 9, 2024.
^ Pierce, David (June 20, 2024). “Anthropic has a fast new AI design – and a creative brand-new method to connect 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 initial on June 10, 2023. Retrieved April 28, 2023.
^ “Explainer: What is Generative AI, the innovation 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 Wished 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 dangers of structure 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]
^ “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 Artificial intelligence”. Towards Data Science. Archived from the original on January 21, 2021. 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.
^ 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 only English voices are available.; Another significant feature of 15. ai is its rich emotional 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 stated that it used 20,000 hours of licensed music to train MusicGen, that included 10,000 “top quality” certified music tracks. At the time, Meta’s scientists outlined in a paper the ethical challenges that they encountered 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 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 original on April 5, 2023. Retrieved April 4, 2023.
^ Yang, Sherry; Du, Yilun (April 12, 2023). “UniPi: Learning universal policies through 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 Expert System (AI) 3D Generators”. eWEEK. Archived from the original on May 7, 2024. Retrieved February 6, 2024.
^ “Slash CAD model build times with new AI-driven part development approach|GlobalSpec”. Archived from the original on January 23, 2024. Retrieved February 6, 2024.
^ “The Role of Artificial Intelligence (AI) in the CAD Industry”. March 22, 2023. Archived from the original on February 9, 2024. Retrieved February 6, 2024.
^ Sabin, Sam (June 30, 2023). “GitHub has a vision to make code more secure by style”. Axios Codebook. Archived from the original 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 existing output is primary. Runway states it’ll be making its new generative video model, Gen-2, available 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 expert system innovations such as the popular ChatGPT chatting app to its Microsoft 365 suite of company software … the new A.I. functions, called Copilot, will be available in some of the company’s most popular business apps, including Word, PowerPoint and Excel.
^ Wilson, Mark (August 15, 2023). “The app’s Memories function just got a big upgrade”. TechRadar. Archived from the initial on August 15, 2023. The Google Photos app is getting an upgraded, AI-powered Memories feature … you’ll have the ability to utilize 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 artificial intelligence (AI) will turn into one of the most important features for innovative designers and online marketers. Adobe on Tuesday revealed a Generative Fill function in Photoshop to bring Firefly’s AI capabilities into design.
^ Michael Nuñez (July 19, 2023). “LLaMA 2: How to access 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 want to run LLaMA 2 on your own maker or modify the code, you can download it straight 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 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 initial on August 15, 2023. Retrieved August 15, 2023. Draw Things is an app that brings Stable Diffusion to the iPhone. The AI images are generated locally, so you don’t require an Internet 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 model in the house, you will require a computer system develop with a powerful GPU that can manage the big quantity of information and computation needed 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 practically only trust two LLM evals today” (Tweet) – by means of 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 * security and security” (Tweet) – through Twitter.
^ Nellis, Stephen; Lee, Jane (September 1, 2022). “U.S. authorities order Nvidia to halt sales of leading AI chips to China”. Reuters. Archived from the initial 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 stringent U.S. export requirements that restrict 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 original on August 15, 2023. Retrieved August 15, 2023.
^ “5 free software application to identify fake 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 trainee”. 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 huge issue 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 content for security, White House states”. Reuters. Archived from the initial 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 initial on February 17, 2024. Retrieved February 17, 2024.
^ “EU AI Act: very first policy on synthetic intelligence”. European Parliament. August 6, 2023. Retrieved September 13, 2024.
^ Chee, Foo Yun; Mukherjee, Supantha (June 14, 2023). “EU lawmakers vote for harder AI rules as draft moves to last”. Reuters. Archived from the initial on July 27, 2023. Retrieved July 26, 2023.
^ Ye, Josh (July 13, 2023). “China states generative AI rules to use only to items for the 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 original 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 Times. Archived from the original on January 25, 2024. Retrieved January 26, 2024.
^ Hadero, Haleluya; Bauder, David (December 27, 2023). “The New York 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 giant Getty took a leading AI image-maker to court. Now it’s also embracing the innovation”. AP NEWS. Associated Press. Archived from the initial 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 original 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 get 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 think about 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 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 original 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 market reportedly annihilated 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 use of advanced 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 requiring a contract that clearly demands AI regulations to protect writers and the works they develop. … The future of generative artificial intelligence in Hollywood-and how it can be used to replace labor-has end up being a crucial sticking point for stars going on strike. In a news conference Thursday, Fran Drescher, president of the Screen Actors Guild-American Federation of Television and Radio Artists (more commonly known as SAG-AFTRA), declared that ‘expert system poses an existential hazard to creative occupations, and all stars and performers deserve 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 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 globe are stressed over AI being a risk to jobs”. Fast Company. Archived from the original on December 8, 2023. Retrieved December 8, 2023.
^ Rachel Gordon (March 3, 2023). “Large language models are prejudiced. Can reasoning conserve them?”. MIT CSAIL. Archived from the initial 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 original on January 26, 2024. Retrieved January 26, 2024.
^ Jake Traylor (July 27, 2022). “No quick repair: How OpenAI’s DALL · E 2 showed the difficulties 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 original on January 26, 2024. Retrieved January 26, 2024.
^ Brandon, John (February 16, 2018). “Terrifying state-of-the-art pornography: Creepy ‘deepfake’ videos are on the rise”. 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 initial 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 begin a global face-off”. 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 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 Expert System 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 interference in 2024 election”. Semafor. Archived from the initial on March 11, 2024. Retrieved March 6, 2024.
^ Menn, Joseph (September 23, 2024). “Russia, Iran utilize AI to enhance anti-U.S. influence projects, officials state”. 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 initial 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 initial on October 3, 2023. Retrieved July 6, 2024.
^ Lawton, Graham (September 12, 2023). “Disinformation wars: The battle against fake 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 technologies: Proposing the combination 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 application race has started”. Fortune. Archived from the original 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 specialists”. The Guardian. ISSN 0261-3077. Archived from the initial on November 16, 2023. Retrieved July 25, 2023.
^ “Seeing is believing? 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 celebrity 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 new AI voice tool is already being abused to make deepfake celeb 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 City 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 mimic popular artists raising alarms in the music industry”. ABC News. Archived from the initial 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 signs first-ever record offer with 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 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 ‘scams czar’ predicts the greatest danger is that deepfakes will eventually end up being uninteresting”. Business Insider. Archived from the original on April 14, 2021. Retrieved July 31, 2023.
^ Collinson, Patrick (July 15, 2023). “Fake evaluations: can we trust what we read 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 powerful 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 City, 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 means 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 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 costs are soaring – and mostly 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 researcher discusses 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’ve Got ‘Slop'”. The New York City Times. ISSN 0362-4331. Archived from the initial 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 original 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 suddenly tries to modify 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 latest 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 original 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 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 always been spam on the web and in the datasets that Wordfreq utilized, “it was workable and typically identifiable. Large language models produce text that masquerades as real language with intention behind it, although there is none, and their output emerge all over,” she wrote. She offers the example that ChatGPT overuses the word “dive,” in a manner that individuals do not, which has actually tossed off the frequency of this specific 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). “How Much Research Is Being Written by Large Language Models?”. Human-Centered Artificial Intelligence. Stanford University. Retrieved August 16, 2024.
^ Valyaeva, Alina (August 15, 2023). “AI Image Statistics for 2024: Just 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 models collapse when trained on recursively created 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. August 27, 2024.
^ “Self-Consuming Generative Models Go Mad”. 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 initial on January 3, 2024. Retrieved January 4, 2024.
^ Stöckl, Andreas (November 2, 2022). “Evaluating an Artificial Image Dataset Generated with Stable Diffusion”. arXiv:2211.01777 [cs.CV]
^ Roth, Emma (January 25, 2023). “CNET discovered mistakes in over half of its AI-written stories”. The Verge. Archived from the initial 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 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’ utilizing 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 original 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 initial 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 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 initial on January 4, 2024. Retrieved January 8, 2024.
^ Buchanan, Tyler (August 28, 2023). “Dispatch pauses AI sports writing 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 writers 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 air conditioner “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 original on November 2, 2023. Retrieved January 8, 2024.
^ Meade, Amanda (July 31, 2023). “News Corp utilizing AI to produce 3,000 Australian regional news stories a week”. The Guardian. ISSN 0261-3077. Archived from the original 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 original 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 initial 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, Together With Warning They May Be Filled With Errors”. Futurism. Archived from the original on January 29, 2025. Retrieved January 30, 2025.
^ Carroll, Rory (May 14, 2023). “Irish Times apologises for scam AI post about ladies’s use of phony 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 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 initial on May 15, 2024. Retrieved May 24, 2024.
^ “What remains in a byline? For Hoodline’s AI-generated regional news, everything – and 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 standard 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 local news websites is publishing AI-written articles under fake bylines. Experts are raising alarm”. CNN. Archived from the initial on June 6, 2024. Retrieved June 8, 2024.
^ “Wyoming press reporter captured utilizing artificial intelligence to produce phony 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 articles, drawing criticism from journalists, co-founders”. ABC News. August 7, 2024. Archived from the original on August 24, 2024. Retrieved August 27, 2024.
^ “AI-generated articles are permeating significant news publications”. National Public Radio. May 16, 2024. Archived from the original 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 says it will upgrade AI function after inaccurate news signals”. The Guardian. January 7, 2025. Archived from the original on January 14, 2025. Retrieved January 14, 2025.
^ “TV channels are using AI-generated presenters to check out the news. The concern is, will we trust them?”. BBC News. January 26, 2024. Archived from the initial 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 revealed in China”. The Guardian. ISSN 0261-3077. Archived from the initial on February 20, 2024. Retrieved May 24, 2024.
^ “These ISIS news anchors are AI fakes. Their propaganda is genuine”. 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 original 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 been AI-zombified”. The Verge. Archived from the initial on July 12, 2024. Retrieved August 27, 2024.
^ “AI slop is currently invading Oregon’s local 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 initial 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 alert AI could cause ‘damage’ 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 regional news deal”. Axios. July 18, 2023. Archived from the original on July 19, 2023. Retrieved May 24, 2024.
^ Kelly, Heather (May 22, 2024). “Meta strolled away from news. Now the company’s utilizing it for AI content”. 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 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 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 News Report 2024” (PDF). Reuters Institute for the Study of Journalism.

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