Generative Artificial Intelligence

Improvements in transformer-based deep neural networks, especially big language designs (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 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 as well as various smaller companies have developed generative AI models. [7] [13] [14]

Generative AI has utilizes across a large range of markets, consisting of software development, healthcare, financing, home entertainment, customer care, [15] sales and marketing, [16] art, writing, [17] style, [18] and product style. [19] However, concerns have been raised about the possible misuse of generative AI such as cybercrime, making use of fake news or deepfakes to deceive or manipulate individuals, and the mass replacement of human tasks. [20] [21] Copyright law concerns likewise exist around generative models that are trained on and replicate 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 consequences of creating artificial beings with human-like intelligence; these concerns have actually previously been checked out by misconception, fiction and philosophy considering that antiquity. [23] The idea of automatic art dates back at least to the automata of ancient Greek civilization, where developers such as Daedalus and Hero of Alexandria were referred to as having created makers capable of writing text, generating sounds, and playing music. [24] [25] The tradition of imaginative automations has flourished throughout history, exhibited by Maillardet’s robot produced in the early 1800s. [26] Markov chains have actually long been utilized to model 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 analyzed the pattern of vowels and consonants in the novel Eugeny Onegin using Markov chains. Once a Markov chain is learned on a text corpus, it can then be used as a probabilistic text generator. [29] [30]

Academic expert system

The academic discipline of artificial intelligence was developed at a research workshop held at Dartmouth College in 1956 and has experienced numerous waves of advancement and optimism in the years since. [31] Artificial Intelligence research study began in the 1950s with works like Computing Machinery and Intelligence (1950) and the 1956 Dartmouth Summer Research Project on AI. Since the 1950s, artists and researchers have used expert system to create artistic works. By the early 1970s, Harold Cohen was producing and showing generative AI works produced by AARON, the computer system program Cohen developed to produce paintings. [32]

The terms generative AI planning or generative planning were utilized in the 1980s and 1990s to describe AI preparing systems, especially computer-aided process planning, used to produce sequences of actions to reach a specified goal. [33] [34] Generative AI planning systems used symbolic AI methods such as state space search and restriction satisfaction and were a ”fairly fully grown” technology by the early 1990s. They were used to generate crisis action prepare for military usage, [35] process prepare for producing [33] and decision strategies such as in prototype autonomous spacecraft. [36]

Generative neural webs (2014-2019)

Since its inception, the field of device learning used both discriminative models and generative designs, to design and predict information. Beginning in the late 2000s, the development of deep learning drove progress and research study in image classification, speech acknowledgment, natural language processing and other tasks. Neural networks in this period were generally trained as discriminative designs, due to the problem of generative modeling. [37]

In 2014, improvements such as the variational autoencoder and generative adversarial network produced the first useful deep neural networks capable of learning generative designs, rather than discriminative ones, for complex data such as images. These deep generative designs were the first to output not just class labels for images but also entire images.

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

The new generative models presented throughout this period permitted large neural networks to be trained using unsupervised learning or semi-supervised learning, rather than the supervised learning common of discriminative designs. Unsupervised knowing removed the requirement for human beings to manually label data, 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 might create persuading character voices using minimal training data. [42] The platform is credited as the first mainstream service to promote AI voice cloning (audio deepfakes) in memes and content production, influencing subsequent developments in voice AI technology. [43] [44]

In 2021, the introduction 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 democratized access to premium synthetic intelligence art creation from natural language prompts. [46] These systems showed extraordinary abilities in creating photorealistic images, art work, and creates based on text descriptions, leading to prevalent adoption amongst artists, designers, and the public.

In late 2022, the general public release of ChatGPT revolutionized 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, generate imaginative content, help with coding, and perform various analytical jobs captured global attention and triggered widespread conversation about AI’s possible impact on work, education, and imagination. [48]

In March 2023, GPT-4’s release represented another jump in generative AI capabilities. A team from Microsoft Research controversially argued that it ”could reasonably be deemed an early (yet still incomplete) version of an artificial basic intelligence (AGI) system.” [49] However, this assessment was objected to by other scholars who kept that generative AI stayed ”still far from reaching the criteria of ’general human intelligence'” as of 2023. [50] Later in 2023, Meta released ImageBind, an AI design integrating numerous modalities including text, images, video, thermal information, 3D data, audio, and motion, leading the way for more immersive generative AI applications. [51]

In December 2023, Google unveiled Gemini, a multimodal AI model offered in 4 versions: Ultra, Pro, Flash, and Nano. [52] The company incorporated Gemini Pro into its Bard chatbot and revealed plans for ”Bard Advanced” powered by the bigger Gemini Ultra design. [53] In February 2024, Google combined Bard and Duet AI under the Gemini brand, 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 household of large language models, consisting of Claude 3 Haiku, Sonnet, and Opus. [55] The models showed substantial improvements in abilities across various standards, with Claude 3 Opus significantly outshining leading models from OpenAI and Google. [56] In June 2024, Anthropic launched Claude 3.5 Sonnet, which showed enhanced efficiency compared to the larger Claude 3 Opus, especially in areas such as coding, multistep workflows, and image analysis. [57]

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

Modalities

A generative AI system is built by applying not being watched machine learning (conjuring up for circumstances neural network architectures such as generative adversarial networks (GANs), variation autoencoders (VAEs), transformers, or self-supervised maker learning trained on a dataset. The abilities of a generative AI system depend upon the method or type of the information set utilized. Generative AI can be either unimodal or multimodal; unimodal systems take only one type 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 consist of GPT-3, GPT-4, GPT-4o, LaMDA, LLaMA, BLOOM, Gemini and others (see List of large language designs). They can natural language processing, device translation, and natural language generation and can be used as structure designs for other jobs. [62] Data sets consist of BookCorpus, Wikipedia, and others (see List of text corpora).

Code

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

Images

Producing high-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 Artificial intelligence art, Generative art, and Synthetic media). They are typically used 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, launched in March 2020, which demonstrated the ability to clone character voices utilizing just 15 seconds of training information. [67] The site acquired widespread attention for its ability to generate mentally meaningful speech for different imaginary characters, though it was later on taken offline in 2022 due to copyright issues. [68] [69] [70] Commercial options subsequently 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 documented music together with text annotations, in order to produce brand-new musical samples based on text descriptions such as a calming violin tune backed by a distorted guitar riff.

Music

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

Many AI music generators have been created that can be produced using a text expression, category options, and looped libraries of bars and riffs. [75]

Video

Generative AI trained on annotated video can generate temporally-coherent, comprehensive and photorealistic video. 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 motions of a robotic system to generate new trajectories for movement planning or navigation. For example, UniPi from Google Research uses prompts like ”get blue bowl” or ”clean plate with yellow sponge” to manage motions of a robotic arm. [78] Multimodal ”vision-language-action” models such as Google’s RT-2 can carry out simple thinking in response to user triggers and visual input, such as selecting up a toy dinosaur when given the prompt pick up the extinct animal at a table filled with toy animals and other objects. [79]

3D modeling

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

Software and hardware

Generative AI designs are utilized 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 incorporated into a range of existing commercially readily available products such as Microsoft Office (Microsoft Copilot), [85] Google Photos, [86] and the Adobe Suite (Adobe Firefly). [87] Many generative AI models are likewise available as open-source software application, including Stable Diffusion and the LLaMA [88] language model.

Smaller generative AI designs with approximately a couple of billion parameters can operate on smartphones, embedded devices, and computers. For example, LLaMA-7B (a version with 7 billion specifications) can run on a Raspberry Pi 4 [89] and one variation of Stable Diffusion can work on an iPhone 11. [90]

Larger models with tens of billions of criteria can work on laptop computer or desktop. To accomplish 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 parameter variation of LLaMA can be configured to run on a desktop PC. [91]

The advantages of running generative AI locally consist of security of personal privacy and intellectual home, and avoidance of rate restricting and censorship. The subreddit r/LocalLLaMA in specific concentrates 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 design standards. [93] Yann LeCun has advocated open-source designs for their worth to vertical applications [94] and for enhancing AI security. [95]

Language models with numerous billions of criteria, such as GPT-4 or PaLM, usually work 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 extremely big 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 limitations 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 established to satisfy the requirements of the sanctions.

There is complimentary software application on the marketplace capable of acknowledging text created by generative expert system (such as GPTZero), in addition to images, audio or video originating from it. [99] Potential mitigation strategies for finding generative AI material include digital watermarking, content authentication, details retrieval, and machine learning classifier models. [100] Despite claims of precision, both complimentary and paid AI text detectors have regularly produced incorrect positives, mistakenly implicating trainees of sending AI-generated work. [101] [102]

Law and guideline

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

In the European Union, the proposed Artificial Intelligence Act includes requirements to disclose copyrighted material 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 introduced by the Cyberspace Administration of China controls any public-facing generative AI. It includes requirements to watermark generated images or videos, regulations on training information and label quality, restrictions on personal information collection, and a standard that generative AI should ”abide by socialist core worths”. [108] [109]

Copyright

Training with copyrighted material

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

Proponents of fair use training have argued that it is a transformative use and does not include making copies of copyrighted works 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 lawsuits associated with making use of copyrighted material in training are continuous. Getty Images has actually sued Stability AI over the usage of 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 use of their works to train ChatGPT. [114] [115]

Copyright of AI-generated material

A separate concern is whether AI-generated works can get approved for copyright security. The United States Copyright Office has actually ruled that works produced by expert system without any human input can not be copyrighted, due to the fact that they lack human authorship. [116] However, the office has actually also begun taking public input to figure out if these guidelines require to be refined for generative AI. [117]

Concerns

The advancement of generative AI has raised issues from governments, companies, and individuals, resulting in demonstrations, legal actions, contacts us to stop briefly AI experiments, and actions by several governments. In a July 2023 briefing of the United Nations Security Council, Secretary-General António Guterres mentioned ”Generative AI has enormous capacity for good and wicked at scale”, that AI may ”turbocharge global advancement” and contribute between $10 and $15 trillion to the international economy by 2030, however that its malicious usage ”might cause horrific levels of death and destruction, prevalent injury, and deep psychological damage on an inconceivable 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 jobs that can be done by computer systems really must be done by them, offered the difference between computers and human beings, and in between quantitative computations and qualitative, value-based judgements. [120] In April 2023, it was reported that image generation AI has actually led to 70% of the tasks for video game illustrators in China being lost. [121] [122] In July 2023, advancements in generative AI added to the 2023 Hollywood labor disagreements. Fran Drescher, president of the Screen Actors Guild, declared that ”expert system poses an existential hazard to creative occupations” throughout the 2023 SAG-AFTRA strike. [123] Voice generation AI has actually been seen as a possible obstacle to the voice acting sector. [124] [125]

The crossway of AI and work concerns among underrepresented groups internationally remains a vital aspect. While AI guarantees performance improvements and skill acquisition, issues about task displacement and prejudiced recruiting procedures persist among these groups, as described in surveys by Fast Company. To utilize AI for a more equitable society, proactive steps incorporate mitigating predispositions, promoting transparency, appreciating privacy and permission, and embracing diverse teams and ethical considerations. Strategies involve redirecting policy focus on guideline, inclusive style, and education’s potential for tailored teaching to optimize benefits while decreasing harms. [126]

Racial and gender predisposition

Generative AI models can reflect and enhance any cultural predisposition present in the underlying information. For example, a language model may assume that doctors and judges are male, and that secretaries or nurses are female, if those predispositions prevail in the training information. [127] Similarly, an image design prompted with the text ”a picture of a CEO” might disproportionately create images of white male CEOs, [128] if trained on a racially prejudiced information set. A variety of techniques for alleviating predisposition have actually been tried, such as modifying input triggers [129] and reweighting training information. [130]

Deepfakes

Deepfakes (a portmanteau of ”deep learning” and ”fake” [131] are AI-generated media that take a person in an existing image or video and replace them with somebody else’s likeness utilizing artificial neural networks. [132] Deepfakes have actually amassed widespread attention and concerns for their uses in deepfake celeb pornographic videos, vengeance porn, fake news, scams, health disinformation, financial fraud, and covert foreign election interference. [133] [134] [135] [136] [137] [138] [139] This has actually generated actions from both industry and federal government to spot and restrict their use. [140] [141]

In July 2023, the fact-checking company Logically found that the popular generative AI models Midjourney, DALL-E 2 and Stable Diffusion would produce possible disinformation images when prompted to do so, such as pictures 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 (dispersed journal technology) to promote ”openness, verifiability, and decentralization in AI development and usage”. [144]

Audio deepfakes

Instances of users abusing software application to declarations in the vocal design of celebrities, public officials, and other well-known individuals have raised ethical concerns over voice generation AI. [145] [146] [147] [148] [149] [150] In action, business such as ElevenLabs have actually mentioned that they would deal with mitigating potential abuse through safeguards and identity verification. [151]

Concerns and fandoms have actually generated from AI-generated music. The very same software application utilized to clone voices has been used on popular musicians’ voices to create tunes that imitate their voices, acquiring both remarkable popularity and criticism. [152] [153] [154] Similar methods have actually also been utilized to develop enhanced quality or full-length versions of songs that have actually been dripped or have yet to be launched. [155]

Generative AI has actually likewise been used to create brand-new digital artist characters, with a few of these getting sufficient attention to receive record deals at significant labels. [156] The developers of these virtual artists have also faced their reasonable share of criticism for their personified programs, including backlash for ”dehumanizing” an artform, and likewise producing artists which develop impractical or unethical interest their audiences. [157]

Cybercrime

Generative AI’s capability to create reasonable phony content has actually been exploited in various kinds of cybercrime, consisting of phishing frauds. [158] Deepfake video and audio have been used to create disinformation and scams. In 2020, former Google click scams czar Shuman Ghosemajumder argued that when deepfake videos end up being perfectly reasonable, they would stop appearing impressive to viewers, possibly resulting in uncritical approval of false info. [159] Additionally, large language designs and other types of text-generation AI have been utilized to create phony evaluations of e-commerce sites to enhance scores. [160] Cybercriminals have actually developed big language designs focused on scams, consisting of WormGPT and FraudGPT. [161]

A 2023 research study revealed that generative AI can be susceptible to jailbreaks, reverse psychology and prompt injection attacks, enabling opponents to get aid with damaging requests, such as for crafting social engineering and phishing attacks. [162] Additionally, other researchers have demonstrated that open-source models can be fine-tuned to remove their safety limitations at low expense. [163]

Reliance on market giants

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

Energy and environment

Scientists and journalists have actually revealed issues about the ecological impact that the advancement and release of generative designs are having: high CO2 emissions, [165] [166] [167] big quantities of freshwater utilized for data centers, [168] [169] and high quantities of electricity usage. [170] [166] [171] There is also concern that these effects might increase as these models are incorporated into extensively utilized search engines such as Google Search and Bing; [170] as chatbots and other applications become more popular; [170] [169] and as models need to be retrained. [170]

Proposed mitigation techniques consist of factoring potential ecological costs prior to model development or data collection, [165] increasing performance of data centers to lower electricity/energy use, [168] [170] [166] [169] [171] [167] building more efficient maker finding out designs, [168] [166] [169] decreasing the number of times that designs require to be re-trained, [167] establishing a government-directed structure for auditing the environmental effect of these models, [168] [167] controling for openness of these models, [167] regulating their energy and water usage, [168] motivating scientists to publish information on their designs’ carbon footprint, [170] [167] and increasing the variety of topic specialists who comprehend both artificial intelligence and climate science. [167]

Content quality

The New york city Times specifies slop as comparable to spam: ”substandard or undesirable A.I. content in social networks, art, books and … in search results page.” [172] Journalists have revealed concerns about the scale of low-quality produced material with respect to social media content small amounts, [173] the financial incentives from social media companies to spread out such content, [173] [174] incorrect political messaging, [174] spamming of scientific term paper submissions, [175] increased time and effort to find higher quality or desired material on the Internet, [176] the indexing of produced material by online search engine, [177] and on journalism itself. [178]

A paper released by scientists at Amazon Web Services AI Labs found that over 57% of sentences from a sample of over 6 billion sentences from Common Crawl, a snapshot of websites, were maker translated. A number of these automated translations were seen as lower quality, particularly for sentences that were equated throughout a minimum of 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, announced that she had stopped updating the data for numerous factors: high expenses for acquiring data from Reddit and Twitter, excessive focus on generative AI compared to other approaches in the natural language processing neighborhood, which ”generative AI has contaminated the data”. [181]

The adoption of generative AI tools led to an explosion of AI-generated material throughout multiple domains. A study from University College London approximated 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, around 17.5% of newly published computer system science papers and 16.9% of peer review text now incorporate content produced by LLMs. [183]

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

If AI-generated material is included in brand-new data crawls from the Internet for extra training of AI designs, defects in the resulting designs might happen. [185] Training an AI design exclusively on the output of another AI design produces a lower-quality design. Repeating this procedure, where each brand-new model is trained on the previous model’s output, causes progressive destruction and eventually results in a ”design collapse” after several iterations. [186] Tests have actually been performed with pattern acknowledgment of handwritten letters and with images of human faces. [187] As a repercussion, the worth of data collected from authentic human interactions with systems might become increasingly important in the presence of LLM-generated content in information crawled from the Internet.

On the other side, synthetic information is frequently used as an alternative to information produced by real-world events. Such information can be released to validate mathematical designs and to train maker knowing models while preserving user personal privacy, [188] consisting of for structured data. [189] The technique is not limited to text generation; image generation has actually been utilized to train computer 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 at least 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 fake AI-generated interview with former racing motorist Michael Schumacher, who had actually not made any public appearances since 2013 after sustaining a brain injury in a skiing accident. The story consisted of 2 possible disclosures: the cover included the line ”deceptively genuine”, and the interview consisted of an acknowledgment at the end that it was AI-generated. The editor-in-chief was fired quickly afterwards amidst the debate. [192]

Other outlets that have actually released articles whose content and/or byline have actually been validated or suspected to be developed by generative AI designs – frequently with incorrect material, mistakes, and/or non-disclosure of generative AI usage – include:

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

In May 2024, Futurism noted that a content management system video by AdVon Commerce, who had utilized generative AI to produce posts for much of the abovementioned outlets, appeared to reveal that they ”had produced 10s of countless articles for more than 150 publishers.” [201]

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

In 2023, Google apparently pitched a tool to news outlets that claimed to ”produce news stories” based upon input data provided, such as ”details of existing occasions”. Some news business executives who viewed the pitch described it as” [taking] for granted the effort that went into producing accurate and artful news stories.” [224]

In February 2024, Google released a program to pay little publishers to compose 3 short articles each day using a beta generative AI design. The program does not need the knowledge or authorization of the websites that the publishers are utilizing as sources, nor does it require the published short articles to be labeled as being created 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 undergone cybersquatting, with articles developed by generative AI. [226] [227] [228] [229] [230] [231] [232] [233]

United States Senators Richard Blumenthal and Amy Klobuchar have revealed concern that generative AI could have a hazardous effect on regional news. [234] In July 2023, OpenAI partnered with the American Journalism Project to money regional news outlets for explore generative AI, with Axios keeping in mind the possibility of generative AI business producing a reliance 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 response to potential mistakes around the use and misuse of generative AI in journalism and worries about declining audience trust, outlets around the globe, including publications such as Wired, Associated Press, The Quint, Rappler or The Guardian have actually published guidelines around how they prepare to utilize and not utilize AI and generative AI in their work. [237] [238] [239] [240]

In June 2024, Reuters Institute released their Digital New Report for 2024. In a study of people in America and Europe, Reuters Institute reports that 52% and 47% respectively are unpleasant with news produced by ”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 ”primarily human with some assistance from AI”. The outcomes of international surveys reported that people were more uneasy with news subjects including politics (46%), crime (43%), and regional news (37%) produced by AI than other news subjects. [241]

Computer shows portal

Technology portal

Artificial basic intelligence – Type of AI with wide-ranging abilities
Artificial creativity – Artificial simulation of human creativity
Artificial intelligence art – Visual media produced with AI
Artificial life – Field of study
Chatbot – Program that replicates discussion
Computational creativity – Multidisciplinary endeavour
Generative adversarial network – Deep learning method
Generative pre-trained transformer – Type of big language model
Large language model – Kind of maker knowing design
Music and expert system – Usage of expert system to produce music
Generative AI porn – Explicit material produced by generative AI
Procedural generation – Method in which data is developed algorithmically instead of manually
Retrieval-augmented generation – Kind of details retrieval using LLMs
Stochastic parrot – Term used in artificial intelligence

References

^ Newsom, Gavin; Weber, Shirley N. (September 5, 2023). ”Executive Order N-12-23” (PDF). Executive Department, State of California. Archived (PDF) from the original on February 21, 2024. Retrieved September 7, 2023.
^ Pinaya, Walter H. L.; Graham, Mark S.; Kerfoot, Eric; Tudosiu, Petru-Daniel; Dafflon, Jessica; Fernandez, Virginia; Sanchez, Pedro; Wolleb, Julia; da Costa, Pedro F.; Patel, Ashay (2023 ). ”Generative AI for Medical Imaging: extending the MONAI Framework”. arXiv:2307.15208 [eess.IV]
^ ”What is ChatGPT, DALL-E, and generative AI?”. McKinsey. Retrieved December 14, 2024.
^ ”What is generative AI?”. IBM. March 22, 2024.
^ Pasick, Adam (March 27, 2023). ”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 City 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 initial on November 17, 2023. Retrieved March 14, 2023.
^ Metz, Cade (March 14, 2023). ”OpenAI Plans to Up the Ante in Tech’s A.I. Race”. The New York City Times. ISSN 0362-4331. Archived from the initial on March 31, 2023. Retrieved March 31, 2023.
^ Thoppilan, Romal; De Freitas, Daniel; Hall, Jamie; Shazeer, Noam; Kulshreshtha, Apoorv (January 20, 2022). ”LaMDA: Language Models for Dialog Applications”. arXiv:2201.08239 [cs.CL]
^ Roose, Kevin (October 21, 2022). ”A Coming-Out Party for Generative A.I., Silicon Valley’s New Craze”. The New York City 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 City Times. ISSN 0362-4331. Archived from the original on February 15, 2024. Retrieved February 16, 2024.
^ ”The race of the AI laboratories warms up”. The Economist. January 30, 2023. Archived from the original on November 17, 2023. Retrieved March 14, 2023.
^ Yang, June; Gokturk, Burak (March 14, 2023). ”Google Cloud brings generative AI to designers, organizations, and governments”. Archived from the original 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 initial on November 17, 2023. Retrieved March 14, 2023.
^ Coyle, Jake (September 27, 2023). ”In Hollywood writers’ 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 fashion”. Archived from the initial on November 17, 2023. Retrieved March 14, 2023.
^ ”How Generative AI Can Augment Human Creativity”. Harvard Business Review. June 16, 2023. ISSN 0017-8012. Archived from the initial on June 20, 2023. Retrieved June 20, 2023.
^ Hendrix, Justin (May 16, 2023). ”Transcript: Senate Judiciary Subcommittee Hearing on Oversight of AI”. techpolicy.press. Archived from the original on November 17, 2023. Retrieved May 19, 2023.
^ Simon, Felix M.; Altay, Sacha; Mercier, Hugo (October 18, 2023). ”Misinformation refilled? Fears about the impact of generative AI on false information are overblown”. Harvard Kennedy School Misinformation Review. doi:10.37016/ mr-2020-127. S2CID 264113883. Archived from the original on November 17, 2023. Retrieved November 16, 2023.
^ ”New AI systems collide 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: 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, obtained 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 original 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 Artificial Intelligence. New York City, New York: BasicBooks. p. 109. ISBN 0-465-02997-3.
^ Bergen, Nathan; Huang, Angela (2023 ). ”A Quick 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 assisted process preparation: the state-of-the-art survey”. 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.). A Self-governing Spacecraft Agent Prototype. Autonomous Robots Volume 5, No. 1. pp. 29-45. Our deliberator is a standard generative AI coordinator based upon the HSTS preparation framework (Muscettola, 1994), and our control part is a traditional spacecraft mindset control system (Hackney et al. 1993). We also include an architectural part clearly committed to world modeling (the mode identifier), and identify in between 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). ”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 designs are without supervision multitask students” (PDF). OpenAI Blog.
^ Radford, Alec (June 11, 2018). ”Improving language understanding with not being watched knowing”. OpenAI. Retrieved October 6, 2024.
^ Chandraseta, Rionaldi (January 21, 2021). ”Generate Your Favourite Characters’ Voice Lines utilizing 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 original on December 28, 2024. Retrieved December 25, 2024.
^ Anirudh VK (March 18, 2023). ”Deepfakes Are Elevating Meme Culture, But At What Cost?”. Analytics India Magazine. Archived from the initial on December 26, 2024. Retrieved December 18, 2024. While AI voice memes have actually been around in some type given that ’15. ai’ introduced in 2020, […] ^ Coldewey, Devin (January 5, 2021). ”OpenAI’s DALL-E develops plausible 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 humans?”. 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 explores 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 combines 6 kinds of information”. May 9, 2023. Retrieved March 14, 2024.
^ Kruppa, Miles (December 6, 2023). ”Google Announces AI System Gemini After Turmoil at Rival OpenAI”. The Wall Street Journal. ISSN 0099-9660. Archived from the original on December 6, 2023. Retrieved December 6, 2023.
^ Edwards, Benj (December 6, 2023). ”Google releases 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 City Times. Retrieved February 8, 2024.
^ ”Introducing the next generation of Claude”. Retrieved March 4, 2024.
^ Nuñez, Michael (March 4, 2024). ”Anthropic unveils Claude 3, going beyond GPT-4 and Gemini Ultra in benchmark tests”. Venture Beat. Retrieved April 9, 2024.
^ Pierce, David (June 20, 2024). ”Anthropic has a quick new AI model – and a creative new way to engage 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 technology behind OpenAI’s ChatGPT?”. Reuters. March 17, 2023. Archived from the initial on March 30, 2023. Retrieved March 17, 2023.
^ Roose, Kevin (February 16, 2023). ”Bing’s A.I. Chat: ’I Wished to Be Alive.'”. The New York City 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 Machine Learning. PMLR. pp. 8821-8831.
^ Chandraseta, Rionaldi (January 21, 2021). ”Generate Your Favourite Characters’ Voice Lines utilizing Machine Learning”. Towards Data Science. Archived from the initial 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 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 note that just English voices are available.; Another significant feature of 15. ai is its abundant psychological expression.] ^ Desai, Saahil (July 17, 2023). ”A Voicebot Just Left Me Speechless”. The Atlantic. Archived from the initial on December 8, 2023. Retrieved November 28, 2023.
^ Agostinelli, Andrea; Denk, Timo I.; Borsos, Zalán; Engel, Jesse; Verzetti, Mauro; Caillon, Antoine; Huang, Qingqing; Jansen, Aren; Roberts, Adam; Tagliasacchi, Marco; Sharifi, Matt; Zeghidour, Neil; Frank, Christian (January 26, 2023). ”MusicLM: Generating Music From Text”. arXiv:2301.11325 [cs.SD]
^ Dalugdug, Mandy (August 3, 2023). ”Meta in June said that it utilized 20,000 hours of certified music to train MusicGen, which consisted of 10,000 ”high-quality” licensed music tracks. At the time, Meta’s researchers laid out in a paper the ethical challenges that they experienced around the development of generative AI designs like MusicGen”. Archived from the initial on August 15, 2023.
^ ”Jay-Z’s Delaware producer triggers dispute over AI rights”. Archived from the initial on February 27, 2024. Retrieved February 27, 2024.
^ ”10 ”Best” AI Music Generators (April 2024) – Unite.AI”. October 19, 2022. Archived from the 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 original on April 5, 2023. Retrieved April 5, 2023.
^ Wong, Queenie (September 29, 2022). ”Facebook Parent Meta’s AI Tool Can Create Artsy Videos From Text”. cnet.com. Archived from the original on April 5, 2023. Retrieved April 4, 2023.
^ Yang, Sherry; Du, Yilun (April 12, 2023). ”UniPi: Learning universal policies by means of text-guided video generation”. Google Research, Brain Team. Google AI Blog. Archived from the original on May 24, 2023.
^ Brohan, Anthony (2023 ). ”RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control”. arXiv:2307.15818 [cs.RO]
^ Abdullahi, Aminu (November 17, 2023). ”10 Best Expert System (AI) 3D Generators”. eWEEK. Archived from the initial on May 7, 2024. Retrieved February 6, 2024.
^ ”Slash CAD model build times with new AI-driven part production approach|GlobalSpec”. Archived from the original on January 23, 2024. Retrieved February 6, 2024.
^ ”The Role of Expert System (AI) in the CAD Industry”. March 22, 2023. Archived from the initial on February 9, 2024. Retrieved February 6, 2024.
^ Sabin, Sam (June 30, 2023). ”GitHub has a vision to make code more secure by 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 new design”. The Verge. Archived from the initial on September 27, 2023. Retrieved August 15, 2023. Text-to-video is the next frontier for generative AI, though current output is fundamental. Runway says it’ll be making its brand-new generative video model, Gen-2, readily available to users in ’the coming weeks.’
^ Vanian, Jonathan (March 16, 2023). ”Microsoft adds OpenAI technology to Word and Excel”. CNBC. Archived from the initial on August 15, 2023. Retrieved August 15, 2023. Microsoft is bringing generative artificial intelligence innovations such as the popular ChatGPT talking app to its Microsoft 365 suite of organization software application … the new A.I. functions, dubbed Copilot, will be offered in some of the company’s most popular service apps, consisting of Word, PowerPoint and Excel.
^ Wilson, Mark (August 15, 2023). ”The app’s Memories feature just got a big upgrade”. TechRadar. Archived from the original on August 15, 2023. The Google Photos app is getting a redesigned, AI-powered Memories feature … you’ll have the ability to use generative AI to come up with some suggested names like ”a desert adventure”.
^ Sullivan, Laurie (May 23, 2023). ”Adobe Adds Generative AI To Photoshop”. MediaPost. Archived from the original on August 15, 2023. Retrieved August 15, 2023. Generative artificial intelligence (AI) will become one of the most crucial features for imaginative designers and marketers. Adobe on Tuesday revealed a Generative Fill feature in Photoshop to bring Firefly’s AI abilities into design.
^ Michael Nuñez (July 19, 2023). ”LLaMA 2: How to gain access to and usage Meta’s versatile open-source chatbot today”. VentureBeat. Archived from the original on November 3, 2023. Retrieved August 15, 2023. If you wish to run LLaMA 2 by yourself device or customize 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 initial on August 15, 2023. Retrieved August 15, 2023. Using a Pi 4 with 8GB of RAM, you can create 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 in your area, so you don’t need an Internet connection.
^ Witt, Allan (July 7, 2023). ”Best Computer to Run LLaMA AI Model in the house (GPU, CPU, RAM, SSD)”. Archived from the original on August 15, 2023. Retrieved August 15, 2023. To run LLaMA model in the house, you will need a computer system build with an effective GPU that can manage the big 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 initial on January 7, 2024. Retrieved January 7, 2024.
^ @karpathy (December 20, 2023). ”I quite much only trust 2 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 stop sales of top 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 runs at 70% of the speed of A100 GPUs while complying with rigorous U.S. export standards that limit just how much processing power Nvidia can sell.
^ Patel, Dylan (October 24, 2022). ”How China’s Biren Is Attempting To Evade US Sanctions”. Archived from the initial on August 15, 2023. Retrieved August 15, 2023.
^ ”5 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 finger prints: 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 evaluated a 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 big issue 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 material 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: first policy on expert system”. European Parliament. August 6, 2023. Retrieved September 13, 2024.
^ Chee, Foo Yun; Mukherjee, Supantha (June 14, 2023). ”EU legislators vote for tougher AI rules as draft transfer to last”. Reuters. Archived from the original on July 27, 2023. Retrieved July 26, 2023.
^ Ye, Josh (July 13, 2023). ”China says generative AI guidelines 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 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 initial on January 25, 2024. Retrieved January 26, 2024.
^ Hadero, Haleluya; Bauder, David (December 27, 2023). ”The New York Times takes legal action against OpenAI and Microsoft for using its stories to train chatbots”. Associated Press News. AP News. Archived from the original on December 27, 2023. Retrieved April 13, 2023.
^ O’Brien, Matt (September 25, 2023). ”Photo huge Getty took a leading AI image-maker to court. Now it’s also accepting the innovation”. AP NEWS. Associated Press. Archived from the original on January 30, 2024. Retrieved January 30, 2024.
^ Barber, Gregory (December 9, 2023). ”The Generative AI Copyright Fight Is Just Getting Going”. Wired. Archived from the original on January 19, 2024. Retrieved January 19, 2024.
^ Bruell, Alexandra (December 27, 2023). ”New York City Times Sues Microsoft and OpenAI, Alleging Copyright Infringement”. Wall Street Journal. Archived from the original on January 18, 2024. Retrieved January 19, 2024.
^ Brittain, Blake (August 21, 2023). ”AI-generated art can not 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 people believe 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 Artificial Intelligence”. un.org. July 18, 2023. Archived from the original on July 28, 2023. Retrieved July 27, 2023.
^ ”The Writers Strike Is Deciding 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’ jobs in China”. Rest of World. Archived from the original on August 13, 2023. Retrieved August 17, 2023.
^ Carter, Justin (April 11, 2023). ”China’s video game art industry apparently decimated 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 advanced tech”. NBC News. Archived from the original on July 20, 2023. Retrieved July 21, 2023. SAG-AFTRA has actually joined the Writer’s [sic] Guild of America in requiring an agreement that explicitly demands AI regulations to safeguard authors and the works they create. … The future of generative expert system in Hollywood-and how it can be utilized to change labor-has end up being an important sticking point for actors going on strike. In a news conference Thursday, Fran Drescher, president of the Screen Actors Guild-American Federation of Television and Radio Artists (more typically referred to as SAG-AFTRA), stated that ’artificial intelligence poses an existential hazard to innovative professions, and all stars and entertainers deserve agreement language that protects them from having their identity and talent made use of without approval and pay.’
^ Wiggers, Kyle (August 22, 2023). ”ElevenLabs’ voice-generating tools launch 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 all over the world are stressed over AI being a danger to jobs”. 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 logic conserve them?”. MIT CSAIL. Archived from the initial on January 23, 2024. Retrieved January 26, 2024.
^ OpenAI (July 18, 2022). ”Reducing bias and enhancing security in DALL · E 2”. OpenAI. Archived from the initial on January 26, 2024. Retrieved January 26, 2024.
^ Jake Traylor (July 27, 2022). ”No fast fix: How OpenAI’s DALL · E 2 highlighted the challenges of bias in AI”. NBC News. Archived from the initial on January 26, 2024. Retrieved January 26, 2024.
^ ”DALL · E 2 pre-training mitigations”. OpenAI. June 28, 2022. Archived from the initial on January 26, 2024. Retrieved January 26, 2024.
^ Brandon, John (February 16, 2018). ”Terrifying modern porn: 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 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 could 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 original on June 18, 2019. Retrieved March 24, 2018.
^ Schreyer, Marco; Sattarov, Timur; Reimer, Bernd; Borth, Damian (2019 ). ”Adversarial Learning of Deepfakes in Accounting”. arXiv:1910.03810 [cs.LG]
^ Menz, Bradley (2024 ). ”Health Disinformation Use Case Highlighting the Urgent Need for Artificial Intelligence Vigilance”. JAMA Internal Medicine. 184 (1 ): 92-96. doi:10.1001/ jamainternmed.2023.5947. PMID 37955873. S2CID 265148637. Archived from the initial on February 4, 2024. Retrieved February 4, 2024.
^ Chalfant, Morgan (March 6, 2024). ”U.S. braces for foreign disturbance in 2024 election”. Semafor. Archived from the original on March 11, 2024. Retrieved March 6, 2024.
^ Menn, Joseph (September 23, 2024). ”Russia, Iran utilize AI to enhance anti-U.S. impact campaigns, officials say”. The Washington Post. ISSN 0190-8286. Archived from the initial on September 24, 2024. Retrieved September 23, 2024.
^ ”Join the Deepfake Detection Challenge (DFDC)”. deepfakedetectionchallenge.ai. Archived from the original on January 12, 2020. Retrieved November 8, 2019.
^ Clarke, Yvette D. (June 28, 2019). ”H.R. 3230 – 116th Congress (2019-2020): Defending Each and Every Person from False Appearances by Keeping Exploitation Subject to Accountability Act of 2019”. www.congress.gov. Archived from the original on December 17, 2019. Retrieved October 16, 2019.
^ ”New Research Reveals Scale of Threat Posed by AI-generated Images on 2024 Elections”. Logically. July 27, 2023. Archived from the initial on October 3, 2023. Retrieved July 6, 2024.
^ Lawton, Graham (September 12, 2023). ”Disinformation wars: The fight against phony news in the age of AI”. New Scientist. Retrieved July 5, 2024.
^ Brewer, Jordan; Patel, Dhru; Kim, Dennie; Murray, Alex (April 12, 2024). ”Navigating the challenges of generative technologies: Proposing the integration of artificial intelligence and blockchain”. Business Horizons. 67 (5 ): 525-535. doi:10.1016/ j.bushor.2024.04.011. ISSN 0007-6813.
^ ”People Are Still Terrible: AI Voice-Cloning Tool Misused for Deepfake Celeb Clips”. PCMag Middle East. January 31, 2023. Archived from the initial on December 25, 2023. Retrieved July 25, 2023.
^ ”The generative A.I. software application race has begun”. 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 original on November 16, 2023. Retrieved July 25, 2023.
^ ”Seeing is thinking? Global scramble to tackle deepfakes”. news.yahoo.com. Archived from the original on February 3, 2023. Retrieved February 3, 2023.
^ Vincent, James (January 31, 2023). ”4chan users welcome AI voice clone tool to create celebrity hatespeech”. The Verge. Archived from the original 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 Times. ISSN 0362-4331. Archived from the original on October 29, 2023. Retrieved July 25, 2023.
^ ”A new AI voice tool is already 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 mimic popular artists raising alarms in the music market”. ABC News. Archived from the original on December 6, 2023. Retrieved December 6, 2023.
^ Skelton, Eric. ”Fans Are Using Expert System to Turn Rap Snippets Into Full Songs”. Complex. Archived from the original on January 2, 2024. Retrieved December 6, 2023.
^ Marr, Bernard. ”Virtual Influencer Noonoouri Lands Record Deal: Is She The Future Of Music?”. Forbes. Archived from the original on December 4, 2023. Retrieved December 6, 2023.
^ Thaler, Shannon (September 8, 2023). ”Warner Music indications first-ever record handle AI pop star”. New York City Post. Archived from the initial on December 15, 2023. Retrieved December 6, 2023.
^ Sjouwerman, Stu (December 26, 2022). ”Deepfakes: Prepare yourself for phishing 2.0”. Fast Company. Archived from the initial on July 31, 2023. Retrieved July 31, 2023.
^ Sonnemaker, Tyler. ”As social networks platforms brace for the inbound wave of deepfakes, Google’s former ’scams czar’ predicts the greatest threat 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 reviews: can we trust what we checked out online as use of AI blows up?”. 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 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 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 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 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 Are Out of Control. Welcome to the Internet’s Hyper-Consumption Era”. Wired. ISSN 1059-1028. Archived from the original on August 14, 2024. Retrieved August 27, 2024.
^ a b c d e f Saenko, Kate (May 23, 2023). ”Is generative AI bad for the environment? A computer system researcher discusses the carbon footprint of ChatGPT and its cousins”. The Conversation. Archived from the 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 Times. ISSN 0362-4331. Archived from the original 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 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 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 all of a sudden tries to modify 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 most current wave of AI behind the ’zombie internet'”. The Guardian. ISSN 0261-3077. Archived from the original 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 original 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 original on September 19, 2024. Retrieved September 20, 2024. While there has actually always been spam on the internet and in the datasets that Wordfreq utilized, ”it was manageable and frequently identifiable. Large language models generate text that masquerades as real language with intent behind it, although there is none, and their output appear everywhere,” she wrote. She gives the example that ChatGPT overuses the word ”delve,” in a manner that people do not, which has tossed off the frequency of this specific word.
^ Gray, Andrew (March 24, 2024). ”ChatGPT ”contamination”: approximating the prevalence of LLMs in the academic literature”. arXiv:2403.16887 [cs.DL]
^ Kannan, Prabha (May 13, 2024). ”Just How Much Research Is Being Written by Large Language Models?”. Human-Centered Expert System. Stanford University. Retrieved August 16, 2024.
^ Valyaeva, Alina (August 15, 2023). ”AI Image Statistics for 2024: How Much Content Was Created by AI”. Everypixel Journal. Retrieved August 16, 2024.
^ Shumailov, Ilia; Shumaylov, Zakhar; Zhao, Yiren; Papernot, Nicolas; Anderson, Ross; Gal, Yarin (July 2024). ”AI 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 Danger to A.I. Itself”. The New York Times. ISSN 0362-4331. Retrieved August 27, 2024.
^ ”Self-Consuming Generative Models Freak”. ICLR. 2024.
^ Owen, Sean (April 12, 2023). ”Synthetic Data for Better Artificial Intelligence”. databricks.com. Archived from the original on January 3, 2024. Retrieved January 4, 2024.
^ Sharma, Himanshu (July 11, 2023). ”Synthetic Data Platforms: Unlocking the Power of Generative AI for Structured Data”. kdnuggets.com. Archived from the original on January 3, 2024. Retrieved January 4, 2024.
^ Stöckl, Andreas (November 2, 2022). ”Evaluating a Synthetic Image Dataset Generated with Stable Diffusion”. arXiv:2211.01777 [cs.CV]
^ Roth, Emma (January 25, 2023). ”CNET found errors in majority of its AI-written stories”. The Verge. Archived from the original on November 6, 2023. Retrieved June 17, 2023.
^ ”A magazine 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” 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’ 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 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 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 Phony Person”. PetaPixel. Archived from the initial on January 4, 2024. Retrieved January 8, 2024.
^ Harrison, Maggie (August 29, 2023). ”USA Today Owner Pauses AI Articles After Butchering Sports Coverage”. Futurism. Archived from the initial on January 4, 2024. Retrieved January 8, 2024.
^ Buchanan, Tyler (August 28, 2023). ”Dispatch pauses AI sports composing program”. Axios. Archived from the original on January 1, 2024. Retrieved January 8, 2024.
^ Sommer, Will (October 26, 2023). ”Mysterious bylines appeared on an USA Today site. Did these authors exist?”. Washington Post. ISSN 0190-8286. Archived from the 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 ac ”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 local newspaper article 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 Move 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 article 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 original 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 fixture in its newsroom”. Nieman Lab. April 17, 2024. Archived from the initial on May 15, 2024. Retrieved May 24, 2024.
^ ”What’s in a byline? For Hoodline’s AI-generated regional news, everything – and absolutely nothing”. Nieman Lab. June 3, 2024. Archived from the initial on June 6, 2024. Retrieved June 8, 2024.
^ ”AI-generated news is here from S.F.-based Hoodline. What does that mean for standard publishers?”. San Francisco Chronicle. May 8, 2024. Archived from the initial on June 5, 2024. Retrieved June 7, 2024.
^ Gold, Hadas (May 30, 2024). ”A national network of local news websites is releasing 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 caught utilizing expert system to create phony quotes and stories”. Associated Press. August 14, 2024. Archived from the initial on August 24, 2024. Retrieved August 27, 2024.
^ ”Cosmos Magazine releases AI-generated short articles, 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 posts are permeating significant news publications”. National Public Radio. May 16, 2024. Archived from the initial on June 19, 2024. Retrieved July 8, 2024.
^ a b c Knibbs, Kate (July 30, 2024). ”Zombie Alt-Weeklies Are Stuffed With AI Slop About OnlyFans”. Wired. Archived from the original on August 11, 2024. Retrieved August 27, 2024.
^ ”Apple says it will update AI feature after inaccurate news alerts”. The Guardian. January 7, 2025. Archived from the initial on January 14, 2025. Retrieved January 14, 2025.
^ ”TV channels are utilizing AI-generated presenters to read the news. The concern is, will we trust them?”. BBC News. January 26, 2024. Archived from the original on January 26, 2024. Retrieved May 24, 2024.
^ Tait, Amelia (October 20, 2023). ”’Here is the news. You can’t stop us’: AI anchor Zae-In grants us an interview”. The Guardian. ISSN 0261-3077. Archived from the original on January 28, 2024. Retrieved May 24, 2024.
^ Kuo, Lily (November 9, 2018). ”World’s first AI news anchor unveiled in China”. The Guardian. ISSN 0261-3077. Archived from the 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 Is Able 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 original 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 initial on April 14, 2024. Retrieved May 24, 2024.
^ Koebler, Jason (July 9, 2024). ”A Beloved Tech Blog Is Now Publishing AI Articles Under the Names of Its Old Human Staff”. 404 Media. Archived from the initial 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 been AI-zombified”. The Verge. Archived from the initial on July 12, 2024. Retrieved August 27, 2024.
^ ”AI slop is already attacking 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 original on December 2, 2024. Retrieved December 10, 2024.
^ ”Meet the Serbian Businessman/DJ Who Runs the Zombie AI Southwest Journal – Racket”. Racket. February 16, 2024. Archived from the initial on November 13, 2024. Retrieved December 10, 2024.
^ Lima-Strong, Cristiano (January 11, 2024). ”Senators warn AI might cause ’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 utilizing it for AI content”. Washington Post. ISSN 0190-8286. Archived from the original on May 22, 2024. Retrieved May 24, 2024.
^ ”How WIRED Will Use Generative AI Tools”. Wired. Archived from the original 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 research study of journalistic AI policies in 52 global news organisations”. pp. 8-9. doi:10.31235/ osf.io/ c4af9.
^ Newman, Nic; Fletcher, Richard; Robertson, Craig T.; Arguedas, Amy Ross; Nielsen, Rasmus Fleis (June 2024). ”Digital News Report 2024” (PDF). Reuters Institute for the Study of Journalism.