Generative Expert System

Improvements in transformer-based deep neural networks, especially large language models (LLMs), made it possible for an AI boom of generative AI systems in the early 2020s. These include chatbots such as ChatGPT, Copilot, Gemini, and LLaMA; text-to-image expert system image generation systems such as Stable Diffusion, Midjourney, and DALL-E; and text-to-video AI generators such as Sora. [9] [10] [11] [12] Companies such as OpenAI, Anthropic, Microsoft, Google, and Baidu in addition to many smaller firms have actually developed generative AI models. [7] [13] [14]

Generative AI has uses across a vast array of markets, consisting of software development, healthcare, finance, home entertainment, customer support, [15] sales and marketing, [16] art, writing, [17] style, [18] and product style. [19] However, issues have actually been raised about the possible misuse of generative AI such as cybercrime, making use of fake news or deepfakes to trick or manipulate people, and the mass replacement of human jobs. [20] [21] Copyright law concerns likewise exist around generative designs that are trained on and imitate copyrighted artworks. [22]

Early history

Since its beginning, scientists in the field have actually raised philosophical and ethical arguments about the nature of the human mind and the consequences of developing artificial beings with human-like intelligence; these concerns have previously been explored by misconception, fiction and viewpoint considering that antiquity. [23] The principle of automatic art dates back at least to the robot of ancient Greek civilization, where creators such as Daedalus and Hero of Alexandria were referred to as having actually created devices capable of writing text, producing sounds, and playing music. [24] [25] The tradition of innovative automations has actually thrived throughout history, exemplified by Maillardet’s robot produced in the early 1800s. [26] Markov chains have long been used to model natural languages considering that their development by Russian mathematician Andrey Markov in the early 20th century. Markov released his very first paper on the subject in 1906, [27] [28] and evaluated the pattern of vowels and consonants in the unique Eugeny Onegin using 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 synthetic intelligence

The scholastic discipline of synthetic intelligence was established at a research study workshop held at Dartmouth College in 1956 and has actually experienced several waves of improvement and optimism in the years since. [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 researchers have utilized expert system to develop creative works. By the early 1970s, Harold Cohen was creating and exhibiting generative AI works developed by AARON, the computer system program Cohen created to produce paintings. [32]

The terms generative AI planning or generative preparation were used in the 1980s and 1990s to refer to AI preparing systems, particularly computer-aided process planning, utilized to produce sequences of actions to reach a defined objective. [33] [34] Generative AI preparation systems utilized symbolic AI methods such as state area search and constraint fulfillment and were a “reasonably mature” technology by the early 1990s. They were used to create crisis action prepare for military use, [35] process strategies for producing [33] and choice plans such as in model self-governing spacecraft. [36]

Generative neural nets (2014-2019)

Since its beginning, the field of artificial intelligence utilized both discriminative models and generative models, to model and forecast information. Beginning in the late 2000s, the development of deep learning drove development and research in image classification, speech acknowledgment, natural language processing and other tasks. Neural networks in this period were normally trained as discriminative designs, due to the difficulty of generative modeling. [37]

In 2014, advancements such as the variational autoencoder and generative adversarial network produced the first useful deep neural networks capable of finding out generative models, rather than discriminative ones, for intricate information such as images. These deep generative designs were the very first to output not just class labels for images however also whole images.

In 2017, the Transformer network allowed improvements in generative designs compared to older Long-Short Term Memory models, [38] resulting in the 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 ability to generalize not being watched to many various tasks as a Structure model. [40]

The brand-new generative designs introduced throughout this period permitted big neural networks to be trained utilizing not being watched learning or semi-supervised learning, rather than the supervised knowing common of discriminative models. Unsupervised knowing removed the need for people to manually label data, enabling for bigger networks to be trained. [41]

Generative AI boom (2020-)

In March 2020, 15. ai, created by a confidential MIT scientist, was a totally free web application that could generate convincing character voices utilizing very little training data. [42] The platform is credited as the very first mainstream service to popularize AI voice cloning (audio deepfakes) in memes and content creation, influencing subsequent advancements in voice AI technology. [43] [44]

In 2021, the development of DALL-E, a transformer-based pixel generative model, marked an advance in AI-generated images. [45] This was followed by the releases of Midjourney and Stable Diffusion in 2022, which even more equalized access to high-quality expert system art development from natural language triggers. [46] These systems showed unprecedented abilities in producing photorealistic images, art work, and designs based upon text descriptions, causing extensive adoption amongst artists, designers, and the basic public.

In late 2022, the general public release of ChatGPT reinvented the availability and application of generative AI for general-purpose text-based tasks. [47] The system’s capability to participate in natural conversations, produce innovative material, assist with coding, and carry out various analytical tasks captured worldwide attention and stimulated widespread conversation about AI’s possible effect on work, education, and imagination. [48]

In March 2023, GPT-4’s release represented another jump in generative AI capabilities. A group from Microsoft Research controversially argued that it “could reasonably be deemed an early (yet still incomplete) variation of a synthetic basic intelligence (AGI) system.” [49] However, this assessment was contested by other scholars who preserved that generative AI stayed “still far from reaching the criteria of ‘basic human intelligence'” as of 2023. [50] Later in 2023, Meta released ImageBind, an AI model integrating numerous techniques consisting of text, images, video, thermal information, 3D data, audio, and motion, paving the way for more immersive generative AI applications. [51]

In December 2023, Google unveiled Gemini, a multimodal AI model available in 4 variations: Ultra, Pro, Flash, and Nano. [52] The business incorporated Gemini Pro into its Bard chatbot and revealed prepare for “Bard Advanced” powered by the bigger Gemini Ultra design. [53] In February 2024, Google merged 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 family of large language models, consisting of Claude 3 Haiku, Sonnet, and Opus. [55] The designs demonstrated considerable improvements in abilities across numerous benchmarks, with Claude 3 Opus especially outperforming 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, particularly in locations such as coding, multistep workflows, and image analysis. [57]

According to a study by SAS and Coleman Parkes Research, China has emerged as an international leader in generative AI adoption, with 83% of Chinese participants utilizing the innovation, surpassing both the international average of 54% and the U.S. rate of 65%. This leadership is additional evidenced by China’s intellectual property developments in the field, with a UN report revealing that Chinese entities filed over 38,000 generative AI patents from 2014 to 2023, significantly surpassing the United States in patent applications. [58]

Modalities

A generative AI system is constructed by using without supervision device knowing (conjuring up for instance neural network architectures such as generative adversarial networks (GANs), variation autoencoders (VAEs), transformers, or self-supervised maker discovering trained on a dataset. The abilities of a generative AI system depend on the technique or type of the data set utilized. Generative AI can be either unimodal or multimodal; unimodal systems take only one kind of input, whereas multimodal systems can take more than one type of input. [59] For instance, one 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 big language designs). They are capable of natural language processing, machine translation, and natural language generation and can be used as foundation designs for other tasks. [62] Data sets include 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, permitting them to create 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 prominent application of generative AI. [65] Generative AI systems trained on sets of images with text captions consist of Imagen, DALL-E, Midjourney, Adobe Firefly, FLUX.1, Stable Diffusion and others (see Expert system art, Generative art, and Synthetic media). They are frequently utilized for text-to-image generation and neural style transfer. [66] Datasets include LAION-5B and others (see List of datasets in computer vision and image processing).

Audio

Generative AI can also be trained thoroughly on audio clips to produce natural-sounding speech synthesis and text-to-speech capabilities. An early pioneer in this field was 15. ai, introduced in March 2020, which showed the capability to clone character voices using as low as 15 seconds of training data. [67] The website got extensive attention for its capability to produce mentally meaningful speech for different fictional characters, though it was later taken offline in 2022 due to copyright issues. [68] [69] [70] Commercial alternatives consequently 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 in addition to text annotations, in order to generate brand-new musical samples based upon text descriptions such as a soothing violin melody backed by a distorted guitar riff.

Music

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

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

Video

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

Actions

Generative AI can also be trained on the motions of a robotic system to create new trajectories for motion preparation or navigation. For instance, UniPi from Google Research utilizes triggers like “get blue bowl” or “clean plate with yellow sponge” to manage motions of a robot arm. [78] Multimodal “vision-language-action” designs such as Google’s RT-2 can carry out fundamental thinking in action to user triggers and visual input, such as getting a toy dinosaur when provided the timely choice up the extinct animal at a table filled with toy animals and other objects. [79]

3D modeling

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

Software and hardware

Generative AI models are used 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 items such as Runway Gen-2. [84] Generative AI features have been incorporated into a variety of existing commercially offered items such as Microsoft Office (Microsoft Copilot), [85] Google Photos, [86] and the Adobe Suite (Adobe Firefly). [87] Many generative AI models are also available as open-source software application, consisting of Stable Diffusion and the LLaMA [88] language model.

Smaller generative AI designs with approximately a couple of billion criteria can operate on smartphones, ingrained devices, and individual computers. For instance, LLaMA-7B (a variation with 7 billion parameters) 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 parameters can work on laptop or home computer. To accomplish an acceptable speed, designs of this size might need accelerators such as the GPU chips produced by NVIDIA and AMD or the Neural Engine included in Apple silicon products. For example, the 65 billion of LLaMA can be configured to work on a desktop PC. [91]

The advantages of running generative AI locally consist of protection of privacy and copyright, and avoidance of rate restricting and censorship. The subreddit r/LocalLLaMA in specific concentrates on using consumer-grade gaming graphics cards [92] through such methods as compression. That online forum is one of only 2 sources Andrej Karpathy trusts for language design criteria. [93] Yann LeCun has promoted open-source designs for their value to vertical applications [94] and for enhancing AI security. [95]

Language designs with hundreds of billions of specifications, such as GPT-4 or PaLM, normally run on datacenter computers geared up with selections of GPUs (such as NVIDIA’s H100) or AI accelerator chips (such as Google’s TPU). These really large models are typically 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 meet the requirements of the sanctions.

There is complimentary software on the marketplace efficient in recognizing text produced by generative expert system (such as GPTZero), along with images, audio or video coming from it. [99] Potential mitigation strategies for spotting generative AI material include digital watermarking, material authentication, information retrieval, and artificial intelligence classifier designs. [100] Despite claims of precision, both totally free and paid AI text detectors have actually regularly produced false positives, incorrectly implicating students of submitting 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 particular high-impact AI models. [104] [105]

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

In China, the Interim Measures for the Management of Generative AI Services introduced by the Cyberspace Administration of China regulates any public-facing generative AI. It consists of requirements to watermark produced images or videos, guidelines on training data and label quality, restrictions on individual data collection, and a guideline that generative AI should “stick to socialist core worths”. [108] [109]

Copyright

Training with copyrighted content

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

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

Since 2024, a number of suits related to making use of copyrighted product in training are continuous. Getty Images has actually sued Stability AI over making use of its images to train Stable diffusion. [113] Both the Authors Guild and The New York 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 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 with no human input can not be copyrighted, because they lack human authorship. [116] However, the workplace has also begun taking public input to figure out if these guidelines need to be fine-tuned for generative AI. [117]

Concerns

The development of generative AI has raised issues from governments, services, and people, leading to protests, legal actions, calls to stop briefly AI experiments, and actions by multiple governments. In a July 2023 instruction of the United Nations Security Council, Secretary-General António Guterres mentioned “Generative AI has massive potential for great and evil at scale”, that AI may “turbocharge global development” and contribute between $10 and $15 trillion to the international economy by 2030, however that its malicious use “could cause dreadful levels of death and damage, extensive injury, and deep mental damage on an unthinkable 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 in fact need to be done by them, offered the difference in between computers and people, and 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 jobs for computer 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, stated that “synthetic intelligence postures an existential danger to imaginative occupations” throughout the 2023 SAG-AFTRA strike. [123] Voice generation AI has actually been seen as a prospective difficulty to the voice acting sector. [124] [125]

The intersection of AI and employment issues among underrepresented groups internationally stays a vital facet. While AI assures effectiveness improvements and skill acquisition, issues about task displacement and prejudiced recruiting procedures persist amongst these groups, as detailed in studies by Fast Company. To leverage AI for a more equitable society, proactive steps encompass mitigating biases, promoting transparency, respecting personal privacy and permission, and welcoming diverse teams and ethical factors to consider. Strategies include rerouting policy emphasis on guideline, inclusive style, and education’s potential for tailored mentor to make the most of benefits while reducing damages. [126]

Racial and gender bias

Generative AI designs can reflect and amplify any cultural predisposition present in the underlying information. For instance, a language model might assume that medical professionals and judges are male, and that secretaries or nurses are female, if those predispositions are typical in the training data. [127] Similarly, an image design triggered with the text “an image of a CEO” might disproportionately produce images of white male CEOs, [128] if trained on a racially prejudiced information set. A variety of approaches for alleviating predisposition have been tried, such as altering input triggers [129] and reweighting training information. [130]

Deepfakes

Deepfakes (a portmanteau of “deep knowing” and “phony” [131] are AI-generated media that take a person in an existing image or video and replace them with somebody else’s similarity using artificial neural networks. [132] Deepfakes have actually amassed widespread attention and concerns for their usages in deepfake celebrity adult videos, vengeance porn, fake news, hoaxes, health disinformation, monetary fraud, and covert foreign election disturbance. [133] [134] [135] [136] [137] [138] [139] This has elicited reactions from both industry and federal government to spot and restrict their usage. [140] [141]

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

In April 2024, a paper proposed to utilize blockchain (dispersed ledger technology) to promote “transparency, verifiability, and decentralization in AI advancement and usage”. [144]

Audio deepfakes

Instances of users abusing software application to produce questionable declarations in the vocal design of stars, public authorities, and other famous people have actually raised ethical issues over voice generation AI. [145] [146] [147] [148] [149] [150] In response, companies such as ElevenLabs have mentioned that they would work on mitigating prospective abuse through safeguards and identity confirmation. [151]

Concerns and fandoms have spawned from AI-generated music. The very same software application utilized to clone voices has actually been utilized on popular musicians’ voices to develop tunes that mimic their voices, acquiring both incredible appeal and criticism. [152] [153] [154] Similar strategies have actually also been utilized to develop better quality or full-length versions of songs that have actually been leaked or have yet to be released. [155]

Generative AI has likewise been utilized to produce new digital artist personalities, with some of these receiving adequate attention to get record offers at significant labels. [156] The designers of these virtual artists have also faced their reasonable share of criticism for their personified programs, including backlash for “dehumanizing” an artform, and likewise developing artists which develop impractical or immoral interest their audiences. [157]

Cybercrime

Generative AI’s ability to produce realistic phony material has actually been exploited in numerous kinds of cybercrime, consisting of phishing frauds. [158] Deepfake video and audio have been utilized to create disinformation and fraud. In 2020, previous Google click fraud czar Shuman Ghosemajumder argued that once deepfake videos become completely reasonable, they would stop appearing impressive to viewers, potentially resulting in uncritical acceptance of false details. [159] Additionally, big language designs and other kinds of text-generation AI have actually been used to create phony evaluations of e-commerce websites to enhance rankings. [160] Cybercriminals have actually developed big language designs focused on fraud, consisting of WormGPT and FraudGPT. [161]

A 2023 study showed that generative AI can be susceptible to jailbreaks, reverse psychology and timely injection attacks, allowing assaulters to obtain assist with hazardous requests, such as for crafting social engineering and phishing attacks. [162] Additionally, other researchers have shown that open-source models can be fine-tuned to eliminate their safety constraints at low cost. [163]

Reliance on industry giants

Training frontier AI designs requires a huge amount of computing power. Usually only Big Tech business have the financial resources to make such investments. Smaller start-ups such as Cohere and OpenAI end up purchasing access to data centers from Google and Microsoft respectively. [164]

Energy and environment

Scientists and reporters have expressed issues about the ecological effect that the advancement and implementation of generative models are having: high CO2 emissions, [165] [166] [167] large quantities of freshwater utilized for information centers, [168] [169] and high amounts of electricity usage. [170] [166] [171] There is likewise issue that these impacts may increase as these models are incorporated into commonly utilized 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 retrained. [170]

Proposed mitigation techniques include factoring potential ecological expenses prior to model advancement or data collection, [165] increasing performance of information centers to reduce electricity/energy usage, [168] [170] [166] [169] [171] [167] building more efficient device finding out designs, [168] [166] [169] minimizing the number of times that models require to be re-trained, [167] developing a government-directed structure for auditing the ecological impact of these designs, [168] [167] managing for transparency of these models, [167] managing their energy and water usage, [168] motivating scientists to release data on their models’ carbon footprint, [170] [167] and increasing the variety of subject matter experts who understand both device learning and environment science. [167]

Content quality

The New York Times defines slop as comparable to spam: “substandard or undesirable A.I. content in social networks, art, books and … in search results page.” [172] Journalists have actually expressed concerns about the scale of low-quality produced material with respect to social networks content small amounts, [173] the financial incentives from social media business to spread out such material, [173] [174] false political messaging, [174] spamming of clinical research paper submissions, [175] increased effort and time to find greater quality or desired content on the Internet, [176] the indexing of generated material by online search engine, [177] and on journalism itself. [178]

A paper released 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 snapshot of websites, were machine translated. Much of these automated translations were seen as lower quality, especially for sentences that were translated throughout at least 3 languages. Many lower-resource languages (ex. Wolof, Xhosa) were equated across more languages than higher-resource languages (ex. English, French). [179] [180]

In September 2024, Robyn Speer, the author of wordfreq, an open source database that determined word frequencies based upon text from the Internet, announced that she had actually stopped upgrading the information for several reasons: high costs for obtaining information from Reddit and Twitter, excessive concentrate 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 a surge of AI-generated material throughout several domains. A study from University College London approximated that in 2023, more than 60,000 scholarly articles-over 1% of all publications-were most likely composed with LLM assistance. [182] According to Stanford University’s Institute for Human-Centered AI, roughly 17.5% of newly published computer technology documents and 16.9% of peer evaluation text now include content produced by LLMs. [183]

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

If AI-generated material is included in new information crawls from the Internet for additional training of AI designs, defects in the resulting models might occur. [185] Training an AI design exclusively on the output of another AI design produces a lower-quality design. Repeating this procedure, where each new model is trained on the previous design’s output, results in progressive deterioration and eventually leads to a “design collapse” after numerous models. [186] Tests have actually been conducted with pattern recognition of handwritten letters and with photos of human faces. [187] As an effect, the worth of data gathered from real human interactions with systems might end up being increasingly valuable in the existence of LLM-generated content in data crawled from the Internet.

On the other side, artificial information is typically used as an option to data produced by real-world occasions. Such data can be released to confirm mathematical models and to train maker learning models while maintaining user privacy, [188] including for structured information. [189] The approach is not restricted to text generation; image generation has actually been used to train computer system vision models. [190]

Misuse in journalism

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

In April 2023, the German tabloid Die Aktuelle published a fake AI-generated interview with former racing chauffeur Michael Schumacher, who had actually not made any public looks given that 2013 after sustaining a brain injury in a snowboarding mishap. The story included 2 possible disclosures: the cover consisted of 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 soon afterwards amid the controversy. [192]

Other outlets that have actually released articles whose material and/or byline have been confirmed or presumed to be created by generative AI models – typically with incorrect content, 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 kept in mind that a content management system video by AdVon Commerce, who had utilized generative AI to produce short articles for a number of the abovementioned outlets, appeared to reveal that they “had actually produced 10s of countless short articles for more than 150 publishers.” [201]

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

In 2023, Google apparently pitched a tool to news outlets that declared to “produce news stories” based upon input information provided, such as “information of present occasions”. Some news business executives who saw the pitch described it as” [taking] for granted the effort that went into producing precise and artful newspaper article.” [224]

In February 2024, Google launched a program to pay small publishers to compose 3 articles daily utilizing a beta generative AI model. The program does not need the knowledge or authorization of the websites that the publishers are using as sources, nor does it need the published short articles to be identified as being produced or helped by these models. [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 gone through 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 issue that generative AI could have a damaging impact on regional news. [234] In July 2023, OpenAI partnered with the American Journalism Project to money local news outlets for explore generative AI, with Axios keeping in mind the possibility of generative AI business developing a dependence for these news outlets. [235]

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

In reaction to potential pitfalls around the usage and abuse of generative AI in journalism and stress over decreasing audience trust, outlets worldwide, including publications such as Wired, Associated Press, The Quint, Rappler or The Guardian have actually released guidelines around how they prepare to use 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 uncomfortable with news produced by “mostly AI with some human oversight”, and 23% and 15% respectively report being comfortable. 42% of Americans and 33% of Europeans reported that they were comfy with news produced by “mainly human with some assistance from AI”. The outcomes of worldwide studies reported that individuals were more uncomfortable with news topics consisting of politics (46%), criminal offense (43%), and regional news (37%) produced by AI than other news topics. [241]

Computer programming website

Technology website

Artificial basic intelligence – Kind of AI with wide-ranging capabilities
Artificial imagination – Artificial simulation of human creativity
Expert system art – Visual media developed with AI
Artificial life – Discipline
Chatbot – Program that simulates conversation
Computational creativity – Multidisciplinary endeavour
Generative adversarial network – Deep knowing method
Generative pre-trained transformer – Kind of large language model
Large language design – Kind of artificial intelligence model
Music and synthetic intelligence – Usage of expert system to create music
Generative AI pornography – Explicit material produced by generative AI
Procedural generation – Method in which data is developed algorithmically rather than by hand
Retrieval-augmented generation – Type of details retrieval using LLMs
Stochastic parrot – Term used in device knowing

References

^ Newsom, Gavin; Weber, Shirley N. (September 5, 2023). “Executive Order N-12-23” (PDF). Executive Department, State of California. Archived (PDF) from the initial on February 21, 2024. Retrieved September 7, 2023.
^ Pinaya, Walter H. L.; Graham, Mark S.; Kerfoot, Eric; Tudosiu, Petru-Daniel; Dafflon, Jessica; Fernandez, Virginia; Sanchez, Pedro; Wolleb, Julia; da Costa, Pedro F.; Patel, Ashay (2023 ). “Generative AI for Medical Imaging: extending the MONAI Framework”. arXiv:2307.15208 [eess.IV]
^ “What is ChatGPT, DALL-E, and generative AI?”. McKinsey. Retrieved December 14, 2024.
^ “What is generative AI?”. IBM. March 22, 2024.
^ Pasick, Adam (March 27, 2023). “Artificial Intelligence Glossary: Neural Networks and Other Terms Explained”. The New York City Times. ISSN 0362-4331. Archived from the initial on September 1, 2023. Retrieved April 22, 2023.
^ Karpathy, Andrej; Abbeel, Pieter; Brockman, Greg; Chen, Peter; Cheung, Vicki; Duan, Yan; Goodfellow, Ian; Kingma, Durk; Ho, Jonathan; Rein Houthooft; Tim Salimans; John Schulman; Ilya Sutskever; Wojciech Zaremba (June 16, 2016). “Generative models”. OpenAI. Archived from the initial on November 17, 2023. Retrieved March 15, 2023.
^ a b Griffith, Erin; Metz, Cade (January 27, 2023). “Anthropic Said to Be Closing In on $300 Million in New A.I. Funding”. The New York Times. Archived from the original on December 9, 2023. Retrieved March 14, 2023.
^ Lanxon, Nate; Bass, Dina; Davalos, Jackie (March 10, 2023). “A Cheat Sheet to AI Buzzwords and Their Meanings”. Bloomberg News. Archived from the original on November 17, 2023. Retrieved March 14, 2023.
^ Metz, Cade (March 14, 2023). “OpenAI Plans to Up the Ante in Tech’s A.I. Race”. The New York City Times. ISSN 0362-4331. Archived from the 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 City Times. Archived from the original on February 15, 2023. Retrieved March 14, 2023.
^ a b Metz, Cade (February 15, 2024). “OpenAI Unveils A.I. That Instantly Generates Eye-Popping Videos”. The New York 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 developers, businesses, 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 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 authors’ fight against AI, human beings win (in the meantime)”. AP News. Associated Press. Archived from the original on April 3, 2024. Retrieved January 26, 2024.
^ Harreis, H.; Koullias, T.; Roberts, Roger. “Generative AI: Unlocking the future of style”. Archived from the initial on November 17, 2023. Retrieved March 14, 2023.
^ “How Generative AI Can Augment Human Creativity”. Harvard Business Review. June 16, 2023. ISSN 0017-8012. Archived from the initial on June 20, 2023. Retrieved June 20, 2023.
^ Hendrix, Justin (May 16, 2023). “Transcript: Senate Judiciary Subcommittee Hearing on Oversight of AI”. techpolicy.press. Archived from the original on November 17, 2023. Retrieved May 19, 2023.
^ Simon, Felix M.; Altay, Sacha; Mercier, Hugo (October 18, 2023). “Misinformation reloaded? Fears about the impact of generative AI on misinformation are overblown”. Harvard Kennedy School Misinformation Review. doi:10.37016/ mr-2020-127. S2CID 264113883. Archived from the initial on November 17, 2023. Retrieved November 16, 2023.
^ “New AI systems hit copyright law”. BBC News. August 1, 2023. Retrieved September 28, 2024.
^ Newquist, H. P. (1994 ). The Brain Makers: Genius, Ego, And Greed In The Quest For Machines That Think. New York 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, 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 initial on March 23, 2017.
^ Hayes, Brian (2013 ). “First Links in the Markov Chain”. American Scientist. 101 (2 ): 92. doi:10.1511/ 2013.101.92. ISSN 0003-0996. Archived from the initial on May 7, 2024. Retrieved September 24, 2023.
^ Fine, Shai; Singer, Yoram; Tishby, Naftali (July 1, 1998). “The Hierarchical Hidden Markov Model: Analysis and Applications”. Artificial intelligence. 32 (1 ): 41-62. doi:10.1023/ A:1007469218079. ISSN 1573-0565. S2CID 3465810.
^ Crevier, Daniel (1993 ). AI: The Tumultuous Look For Artificial Intelligence. New York, New York City: BasicBooks. p. 109. ISBN 0-465-02997-3.
^ Bergen, Nathan; Huang, Angela (2023 ). “A Brief History of Generative AI” (PDF). Dichotomies: Generative AI: Navigating Towards a Better Future (2 ): 4. Archived (PDF) from the original on August 10, 2023. Retrieved August 8, 2023.
^ a b Alting, Leo; Zhang, Hongchao (1989 ). “Computer aided procedure planning: the advanced 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 planning 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 coordinator based upon the HSTS preparation framework (Muscettola, 1994), and our control component is a traditional spacecraft mindset control system (Hackney et al. 1993). We likewise include an architectural element explicitly devoted to world modeling (the mode identifier), and differentiate between control and tracking.
^ Jebara, Tony (2012 ). Artificial intelligence: discriminative and generative. Vol. 755. Springer Science & Business Media.
^ Cao, Yihan; Li, Siyu; Liu, Yixin; Yan, Zhiling; Dai, Yutong; Yu, Philip S.; Sun, Lichao (March 7, 2023). “An Extensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT”. arXiv:2303.04226 [cs.AI]
^ “finetune-transformer-lm”. GitHub. Archived from the original on May 19, 2023. Retrieved May 19, 2023.
^ Radford, Alec; Wu, Jeffrey; Child, Rewon; Luan, David; Amodei, Dario; Sutskever, Ilya (2019 ). “Language designs are unsupervised multitask students” (PDF). OpenAI Blog.
^ Radford, Alec (June 11, 2018). “Improving language understanding with without supervision 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 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 form given that ’15. ai’ launched in 2020, […] ^ Coldewey, Devin (January 5, 2021). “OpenAI’s DALL-E creates possible images of actually anything you ask it to”. TechCrunch. Retrieved March 15, 2023.
^ “Stable Diffusion Public Release”. Stability AI. Retrieved March 15, 2023.
^ Lock, Samantha (December 5, 2022). “What is AI chatbot phenomenon ChatGPT and could it 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) Expert System in Research and Science”. Journal of Infotech. 38 (2 ): 232-238. doi:10.1177/ 02683962231200411. S2CID 261753752.
^ “Meta open-sources multisensory AI model that combines 6 types of data”. May 9, 2023. Retrieved March 14, 2024.
^ Kruppa, Miles (December 6, 2023). “Google Announces AI System Gemini After Turmoil at Rival OpenAI”. The Wall Street Journal. ISSN 0099-9660. Archived from the original on December 6, 2023. Retrieved December 6, 2023.
^ Edwards, Benj (December 6, 2023). “Google releases Gemini-an effective AI design it states can go beyond GPT-4”. Ars Technica. Retrieved December 6, 2023.
^ Metz, Cade (February 8, 2024). “Google Releases Gemini, an A.I.-Driven Chatbot and Voice Assistant”. The New York Times. Retrieved February 8, 2024.
^ “Introducing the next generation of Claude”. Retrieved March 4, 2024.
^ Nuñez, Michael (March 4, 2024). “Anthropic reveals 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 clever brand-new method to communicate with chatbots”. The Verge. Retrieved June 22, 2024.
^ Baptista, Eduardo (July 9, 2024). “China leads the world in adoption of generative AI, study shows”. 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 original on March 30, 2023. Retrieved March 17, 2023.
^ Roose, Kevin (February 16, 2023). “Bing’s A.I. Chat: ‘I Want to Be Alive.'”. The New York 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 designs”. arXiv:2108.07258 [cs.LG]
^ Chen, Ming; Tworek, Jakub; Jun, Hongyu; Yuan, Qinyuan; Pinto, Hanyu Philippe De Oliveira; Kaplan, Jerry; Edwards, Haley; Burda, Yannick; Joseph, Nicholas; Brockman, Greg; Ray, Alvin (July 6, 2021). “Evaluating Large Language Models Trained on Code”. arXiv:2107.03374 [cs.LG]
^ “Purchasing Cursor”. Andreesen Horowitz.
^ Epstein, Ziv; Hertzmann, Aaron; Akten, Memo; Farid, Hany; Fjeld, Jessica; Frank, Morgan R. ; Groh, Matthew; Herman, Laura; Leach, Neil; Mahari, Robert; Pentland, Alex “Sandy”; Russakovsky, Olga; Schroeder, Hope; Smith, Amy (2023 ). “Art and the science of generative AI”. Science. 380 (6650 ): 1110-1111. arXiv:2306.04141. Bibcode:2023 Sci … 380.1110 E. doi:10.1126/ science.adh4451. PMID 37319193. S2CID 259095707.
^ Ramesh, Aditya; Pavlov, Mikhail; Goh, Gabriel; Gray, Scott; Voss, Chelsea; Radford, Alec; Chen, Mark; Sutskever, Ilya (2021 ). “Zero-shot text-to-image generation”. International Conference on Artificial Intelligence. PMLR. pp. 8821-8831.
^ Chandraseta, Rionaldi (January 21, 2021). “Generate Your Favourite Characters’ Voice Lines using Artificial intelligence”. Towards Data Science. Archived from the original on January 21, 2021. Retrieved December 18, 2024.
^ Temitope, Yusuf (December 10, 2024). “15. ai Creator exposes journey from MIT Project to internet phenomenon”. The Guardian. Archived from the 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 original on January 18, 2021. Retrieved December 18, 2024.
^ Kurosawa, Yuki (January 19, 2021). “ゲームキャラ音声読み上げソフト 15. ai 公開中 。 Undertale や Portal のキャラに好きなセリフを言ってもらえる” [Game Character Voice Reading Software “15. ai” Now Available. Get Characters from Undertale and Portal to Say Your Desired Lines] AUTOMATON (in Japanese). Archived from the original on January 19, 2021. Retrieved December 18, 2024. 英語版ボイスのみなので注意 。; もうひとつ15.aiの大きな特徴として挙げられるのが 、 豊かな感情表現だ 。 [Please keep in mind that just English voices are available.; Another significant function of 15. ai is its rich psychological expression.] ^ Desai, Saahil (July 17, 2023). “A Voicebot Just Left Me Speechless”. The Atlantic. Archived from the original on December 8, 2023. Retrieved November 28, 2023.
^ Agostinelli, Andrea; Denk, Timo I.; Borsos, Zalán; Engel, Jesse; Verzetti, Mauro; Caillon, Antoine; Huang, Qingqing; Jansen, Aren; Roberts, Adam; Tagliasacchi, Marco; Sharifi, Matt; Zeghidour, Neil; Frank, Christian (January 26, 2023). “MusicLM: Generating Music From Text”. arXiv:2301.11325 [cs.SD]
^ Dalugdug, Mandy (August 3, 2023). “Meta in June stated that it utilized 20,000 hours of certified music to train MusicGen, which included 10,000 “high-quality” certified music tracks. At the time, Meta’s scientists outlined in a paper the ethical challenges that they encountered around the advancement of generative AI designs like MusicGen”. Archived from the initial on August 15, 2023.
^ “Jay-Z’s Delaware producer stimulates dispute 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 initial on January 29, 2024. Retrieved February 27, 2024.
^ Metz, Cade (April 4, 2023). “Instant Videos Could Represent the Next Leap in A.I. Technology”. The New York City Times. Archived from the 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 by means of text-guided video generation”. Google Research, Brain Team. Google AI Blog. Archived from the initial on May 24, 2023.
^ Brohan, Anthony (2023 ). “RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control”. arXiv:2307.15818 [cs.RO]
^ Abdullahi, Aminu (November 17, 2023). “10 Best Artificial Intelligence (AI) 3D Generators”. eWEEK. Archived from the original on May 7, 2024. Retrieved February 6, 2024.
^ “Slash CAD design develop times with new AI-driven part development method|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 original on February 9, 2024. Retrieved February 6, 2024.
^ Sabin, Sam (June 30, 2023). “GitHub has a vision to make code more protected by style”. Axios Codebook. Archived from the original on August 15, 2023. Retrieved August 15, 2023.
^ Vincent, James (March 20, 2023). “Text-to-video AI inches more detailed 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 present output is primary. Runway states it’ll be making its brand-new generative video design, Gen-2, available to users in ‘the coming weeks.’
^ Vanian, Jonathan (March 16, 2023). “Microsoft includes 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 technologies such as the popular ChatGPT talking app to its Microsoft 365 suite of business software application … the brand-new A.I. features, called Copilot, will be available in a few of the company’s most popular company 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 original on August 15, 2023. The Google Photos app is getting a redesigned, AI-powered Memories function … you’ll be able to use generative AI to come up with some suggested names like “a desert adventure”.
^ Sullivan, Laurie (May 23, 2023). “Adobe Adds Generative AI To Photoshop”. MediaPost. Archived from the initial on August 15, 2023. Retrieved August 15, 2023. Generative artificial intelligence (AI) will become one of the most essential features for innovative designers and online marketers. Adobe on Tuesday unveiled a Generative Fill function in Photoshop to bring Firefly’s AI capabilities into style.
^ Michael Nuñez (July 19, 2023). “LLaMA 2: How to gain access to and use 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 machine 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 develop a ChatGPT-like server based on LLaMA.
^ Kemper, Jonathan (November 10, 2022). “”Draw Things” App brings Stable Diffusion to the iPhone”. The Decoder. Archived from the original on August 15, 2023. Retrieved August 15, 2023. Draw Things is an app that brings Stable Diffusion to the iPhone. The AI images are created locally, so you do not require a Web connection.
^ Witt, Allan (July 7, 2023). “Best Computer to Run LLaMA AI Model in your home (GPU, CPU, RAM, SSD)”. Archived from the original on August 15, 2023. Retrieved August 15, 2023. To run LLaMA design in your home, you will need a computer system develop with an effective GPU that can handle the large quantity of information and calculation 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 original on January 7, 2024. Retrieved January 7, 2024.
^ @karpathy (December 20, 2023). “I practically only trust 2 LLM evals right now” (Tweet) – via Twitter.
^ @ylecun (January 5, 2024). “Nabla’s shift from ChatGPT to open source LLMs …” (Tweet) – by means of Twitter.
^ @ylecun (November 1, 2023). “Open source platforms * increase * safety and security” (Tweet) – via Twitter.
^ Nellis, Stephen; Lee, Jane (September 1, 2022). “U.S. officials order Nvidia to halt sales of top AI chips to China”. Reuters. Archived from the original on August 15, 2023. Retrieved August 15, 2023.
^ Shilov, Anton (May 7, 2023). “Nvidia’s Chinese A800 GPU’s Performance Revealed”. Tom’s Hardware. Archived from the initial on May 7, 2024. Retrieved August 15, 2023. the A800 runs at 70% of the speed of A100 GPUs while complying with stringent U.S. export requirements that restrict how much processing power Nvidia can offer.
^ 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 to acknowledge phony AI-generated images” (in Italian). October 28, 2023. Archived from the initial on October 29, 2023. Retrieved October 29, 2023.
^ “Detecting AI fingerprints: A guide to watermarking and beyond”. Brookings Institution. January 4, 2024. Archived from the original on September 3, 2024. Retrieved September 5, 2024.
^ Fowler, Geoffrey (April 3, 2023). “We checked a new ChatGPT-detector for instructors. It flagged an innocent student”. washingtonpost.com. Archived from the original on March 28, 2024. Retrieved February 6, 2024.
^ Fowler, Geoffrey (June 2, 2023). “Detecting AI might be difficult. That’s a big problem for instructors”. washingtonpost.com. Archived from the initial on June 3, 2023. Retrieved February 6, 2024.
^ Bartz, Diane; Hu, Krystal (July 21, 2023). “OpenAI, Google, others promise to watermark AI content for safety, White House states”. Reuters. Archived from the original on July 27, 2023.
^ “FACT SHEET: President Biden Issues Executive Order on Safe, Secure, and Trustworthy Artificial Intelligence”. The White House. October 30, 2023. Archived from the initial on January 30, 2024. Retrieved January 30, 2024.
^ Burt, Andrew (October 31, 2023). “3 Obstacles to Regulating Generative AI”. Harvard Business Review. ISSN 0017-8012. Archived from the initial on February 17, 2024. Retrieved February 17, 2024.
^ “EU AI Act: first guideline on artificial intelligence”. European Parliament. August 6, 2023. Retrieved September 13, 2024.
^ Chee, Foo Yun; Mukherjee, Supantha (June 14, 2023). “EU lawmakers elect harder AI guidelines as draft relocate to last”. Reuters. Archived from the original on July 27, 2023. Retrieved July 26, 2023.
^ Ye, Josh (July 13, 2023). “China says generative AI rules to apply just to products for the public”. Reuters. Archived from the original on July 27, 2023. Retrieved July 13, 2023.
^ “生成式人工智能服务管理暂行办法”. July 13, 2023. Archived from the original on July 27, 2023. Retrieved July 27, 2023.
^ a b “Generative Expert system 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 Times. Archived from the initial on January 25, 2024. Retrieved January 26, 2024.
^ Hadero, Haleluya; Bauder, David (December 27, 2023). “The New york city Times sues OpenAI and Microsoft for using its stories to train chatbots”. Associated Press News. AP News. Archived from the 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 technology”. AP NEWS. Associated Press. Archived from the original on January 30, 2024. Retrieved January 30, 2024.
^ Barber, Gregory (December 9, 2023). “The Generative AI Copyright Fight Is Just Getting Started”. Wired. Archived from the initial on January 19, 2024. Retrieved January 19, 2024.
^ Bruell, Alexandra (December 27, 2023). “New York Times Sues Microsoft and OpenAI, Alleging Copyright Infringement”. Wall Street Journal. Archived from the initial on January 18, 2024. Retrieved January 19, 2024.
^ Brittain, Blake (August 21, 2023). “AI-generated art can not get copyrights, US court states”. Reuters. Archived from the initial on January 20, 2024. Retrieved January 19, 2024.
^ David, Emilla (August 29, 2023). “US Copyright Office wishes to hear what people think of AI and copyright”. The Verge. Archived from the initial on January 19, 2024. Retrieved January 19, 2024.
^ “Secretary-General’s remarks to the Security Council on 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 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 already taking video game illustrators’ jobs in China”. Rest of World. Archived from the original on August 13, 2023. Retrieved August 17, 2023.
^ Carter, Justin (April 11, 2023). “China’s video game art market apparently decimated by growing AI utilize”. Game Developer. Archived from the initial on August 17, 2023. Retrieved August 17, 2023.
^ Collier, Kevin (July 14, 2023). “Actors vs. AI: Strike brings focus to emerging usage of innovative tech”. NBC News. Archived from the original on July 20, 2023. Retrieved July 21, 2023. SAG-AFTRA has actually signed up with the Writer’s [sic] Guild of America in demanding an agreement that clearly demands AI guidelines to safeguard writers and the works they develop. … The future of generative expert system in Hollywood-and how it can be used to change labor-has become an essential sticking point for stars going on strike. In a press conference Thursday, Fran Drescher, president of the Screen Actors Guild-American Federation of Television and Radio Artists (more commonly called SAG-AFTRA), declared that ‘synthetic intelligence poses an existential risk to imaginative professions, and all stars and performers deserve contract language that safeguards them from having their identity and skill exploited without authorization 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 initial on December 2, 2023. Retrieved November 28, 2023.
^ Gupta, Shalene (October 31, 2023). “Underrepresented groups in nations around the globe are fretted about 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 designs are biased. Can reasoning assist in saving them?”. MIT CSAIL. Archived from the original on January 23, 2024. Retrieved January 26, 2024.
^ OpenAI (July 18, 2022). “Reducing bias and improving security in DALL · E 2”. OpenAI. Archived from the initial on January 26, 2024. Retrieved January 26, 2024.
^ Jake Traylor (July 27, 2022). “No quick repair: How OpenAI’s DALL · E 2 highlighted the obstacles 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 modern pornography: Creepy ‘deepfake’ videos are on the increase”. Fox News. Archived from the original on June 15, 2018. Retrieved February 20, 2018.
^ Cole, Samantha (January 24, 2018). “We Are Truly Fucked: Everyone Is Making AI-Generated Fake Porn Now”. Vice. Archived from the original on September 7, 2019. Retrieved May 4, 2019.
^ “What Are Deepfakes & Why the Future of Porn is Terrifying”. Highsnobiety. February 20, 2018. Archived from the original on July 14, 2021. Retrieved February 20, 2018.
^ “Experts fear face swapping tech could begin a global face-off”. The Outline. Archived from the initial on January 16, 2020. Retrieved February 28, 2018.
^ Roose, Kevin (March 4, 2018). “Here Come the Fake Videos, Too”. The New York City Times. ISSN 0362-4331. Archived from the 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 initial on March 11, 2024. Retrieved March 6, 2024.
^ Menn, Joseph (September 23, 2024). “Russia, Iran use AI to increase anti-U.S. impact campaigns, authorities 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 initial on December 17, 2019. Retrieved October 16, 2019.
^ “New Research Reveals Scale of Threat Posed by AI-generated Images on 2024 Elections”. Logically. July 27, 2023. Archived from the original on October 3, 2023. Retrieved July 6, 2024.
^ Lawton, Graham (September 12, 2023). “Disinformation wars: The fight versus 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 obstacles of generative innovations: Proposing the combination of synthetic intelligence and blockchain”. Business Horizons. 67 (5 ): 525-535. doi:10.1016/ j.bushor.2024.04.011. ISSN 0007-6813.
^ “People Are Still Terrible: AI Voice-Cloning Tool Misused for Deepfake Celeb Clips”. PCMag Middle East. January 31, 2023. Archived from the original on December 25, 2023. Retrieved July 25, 2023.
^ “The generative A.I. software application race has actually started”. Fortune. Archived from the initial on March 25, 2023. Retrieved February 3, 2023.
^ Milmo, Dan; Hern, Alex (May 20, 2023). “Elections in UK and US at risk from AI-driven disinformation, state professionals”. The Guardian. ISSN 0261-3077. Archived from the initial on November 16, 2023. Retrieved July 25, 2023.
^ “Seeing is believing? Global scramble to deal with deepfakes”. news.yahoo.com. Archived from the original on February 3, 2023. Retrieved February 3, 2023.
^ Vincent, James (January 31, 2023). “4chan users accept 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 City Times. ISSN 0362-4331. Archived from the original on October 29, 2023. Retrieved July 25, 2023.
^ “A brand-new AI voice tool is currently being abused to make deepfake star audio clips”. Engadget. January 31, 2023. Archived from the original on October 10, 2023. Retrieved February 3, 2023.
^ Gee, Andre (April 20, 2023). “Just Because AI-Generated Rap Songs Go Viral Doesn’t Mean They’re Good”. Rolling Stone. Archived from the 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 initial on May 15, 2023. Retrieved December 5, 2023.
^ Lippiello, Emily; Smith, Nathan; Pereira, Ivan (November 3, 2023). “AI tunes that simulate 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 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 initial on December 4, 2023. Retrieved December 6, 2023.
^ Thaler, Shannon (September 8, 2023). “Warner Music indications first-ever record handle AI pop star”. New York City Post. Archived from the original on December 15, 2023. Retrieved December 6, 2023.
^ Sjouwerman, Stu (December 26, 2022). “Deepfakes: Get prepared 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 incoming wave of deepfakes, Google’s previous ‘fraud czar’ predicts the biggest risk is that deepfakes will ultimately become dull”. 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 takes off?”. The Guardian. ISSN 0261-3077. Archived from the initial on November 22, 2023. Retrieved December 6, 2023.
^ “After WormGPT, FraudGPT Emerges to Help Scammers Steal Your Data”. PCMAG. July 25, 2023. Archived from the 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 original on August 20, 2024. Retrieved August 27, 2024.
^ a b c d e f g Dhar, Payal (August 1, 2020). “The carbon effect of synthetic intelligence”. Nature Machine Intelligence. 2 (8 ): 423-425. doi:10.1038/ s42256-020-0219-9. ISSN 2522-5839. Archived from the initial on August 14, 2024.
^ a b c d e Crawford, Kate (February 20, 2024). “Generative AI’s ecological expenses 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 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 explains the carbon footprint of ChatGPT and its cousins”. The Conversation. Archived from the original on July 1, 2024. Retrieved August 27, 2024.
^ a b Lohr, Steve (August 26, 2024). “Will A.I. Ruin the Planet or Save the Planet?”. The New York 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 Times. ISSN 0362-4331. Archived from the original on August 26, 2024. Retrieved August 27, 2024.
^ a b “Investigation Finds Actual Source of All That AI Slop on Facebook”. Futurism. August 10, 2024. Archived from the initial on August 15, 2024. Retrieved August 27, 2024.
^ a b Warzel, Charlie (August 21, 2024). “The MAGA Aesthetic Is AI Slop”. The Atlantic. Archived from the initial on August 25, 2024. Retrieved August 27, 2024.
^ Edwards, Benj (August 14, 2024). “Research AI design suddenly tries to customize its own code to extend runtime”. Ars Technica. Archived from the initial on August 24, 2024. Retrieved August 27, 2024.
^ Hern, Alex; Milmo, Dan (May 19, 2024). “Spam, junk … slop? The latest 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 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 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 always been spam on the web and in the datasets that Wordfreq utilized, “it was manageable and frequently identifiable. Large language models produce text that masquerades as genuine language with intention behind it, although there is none, and their output emerge everywhere,” she composed. She provides the example that ChatGPT excessive uses the word “delve,” in such a way that people do not, which has actually shaken off the frequency of this particular word.
^ Gray, Andrew (March 24, 2024). “ChatGPT “contamination”: estimating the occurrence of LLMs in the academic literature”. arXiv:2403.16887 [cs.DL]
^ Kannan, Prabha (May 13, 2024). “Just How Much Research Is Being Written by Large Language Models?”. Human-Centered Expert System. Stanford University. Retrieved August 16, 2024.
^ Valyaeva, Alina (August 15, 2023). “AI Image Statistics for 2024: How Much Content Was Created by AI”. Everypixel Journal. Retrieved August 16, 2024.
^ Shumailov, Ilia; Shumaylov, Zakhar; Zhao, Yiren; Papernot, Nicolas; Anderson, Ross; Gal, Yarin (July 2024). “AI designs collapse when trained on recursively created data”. 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 City Times. ISSN 0362-4331. Retrieved August 27, 2024.
^ “Self-Consuming Generative Models Freak”. ICLR. 2024.
^ Owen, Sean (April 12, 2023). “Synthetic Data for Better Machine Learning”. databricks.com. Archived from the original on January 3, 2024. Retrieved January 4, 2024.
^ Sharma, Himanshu (July 11, 2023). “Synthetic Data Platforms: Unlocking the Power of Generative AI for Structured Data”. kdnuggets.com. Archived from the initial on January 3, 2024. Retrieved January 4, 2024.
^ Stöckl, Andreas (November 2, 2022). “Evaluating a Synthetic Image Dataset Generated with Stable Diffusion”. arXiv:2211.01777 [cs.CV]
^ Roth, Emma (January 25, 2023). “CNET discovered mistakes in 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 very first interview in years. It was actually AI”. NPR. April 28, 2023. Archived from the original on June 17, 2023. Retrieved June 17, 2023.
^ Al-Sibai, Noor (January 3, 2024). “Police Say AI-Generated Article About Local Murder Is “Entirely” Made Up”. Futurism. Archived from the original 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 original on December 26, 2023. Retrieved January 8, 2024.
^ Schneider, Jaron (December 14, 2023). “B&H Photo Published an AI-Generated Guide Written by a Phony Person”. PetaPixel. Archived from the original on January 4, 2024. Retrieved January 8, 2024.
^ Harrison, Maggie (August 29, 2023). “USA Today Owner Pauses AI Articles After Butchering Sports Coverage”. Futurism. Archived from the 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 website. Did these authors exist?”. Washington Post. ISSN 0190-8286. Archived from the initial on October 26, 2023. Retrieved January 8, 2024. ^ a b c d e f g h i j k l m n o p q r s t u v w x y z aa ab 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 initial on November 2, 2023. Retrieved January 8, 2024.
^ Meade, Amanda (July 31, 2023). “News Corp utilizing AI to produce 3,000 Australian regional 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 initial on December 6, 2023. Retrieved January 8, 2024.
^ a b c Kafka, Peter (July 18, 2023). “Coming to your web, whether you like it or not: More AI-generated stories”. Vox. Archived from the original on July 18, 2023. Retrieved January 8, 2024.
^ Landymore, Frank; Christian, Jon (September 13, 2023). “The A.V. Club’s AI-Generated Articles Are Copying Directly From IMDb”. Futurism. Archived from the original on December 6, 2023. Retrieved January 8, 2024.
^ Stiaplame, Nordiisk (January 28, 2025). “Quartz Is Publishing AI-Generated Articles Based Upon Other AI Slop, Along With Warning They May Be Filled With Errors”. Futurism. Archived from the initial on January 29, 2025. Retrieved January 30, 2025.
^ Carroll, Rory (May 14, 2023). “Irish Times apologises for scam AI short article about females’s use of fake tan”. The Guardian. ISSN 0261-3077. Archived from the original on May 14, 2023. Retrieved January 8, 2024.
^ Christian, Jon (February 1, 2023). “CNET Sister Site Restarts AI Articles, Immediately Publishes Idiotic Error”. Futurism. Archived from the initial on November 27, 2023. Retrieved January 8, 2024.
^ Al-Sibai, Noor; Christian, Jon (March 30, 2023). “BuzzFeed Is Quietly Publishing Entire AI-Generated Articles”. Futurism. Archived from the initial on December 6, 2023. Retrieved January 8, 2024.
^ “Newsweek is making generative AI a component in its newsroom”. Nieman Lab. April 17, 2024. Archived from the original on May 15, 2024. Retrieved May 24, 2024.
^ “What remains in a byline? For Hoodline’s AI-generated local news, whatever – and 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 nationwide network of regional news sites is publishing AI-written articles under phony bylines. Experts are raising alarm”. CNN. Archived from the initial on June 6, 2024. Retrieved June 8, 2024.
^ “Wyoming reporter captured utilizing artificial intelligence to develop 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 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 articles are penetrating major 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 feature after incorrect news notifies”. 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 very first AI news anchor revealed in China”. The Guardian. ISSN 0261-3077. Archived from the original on February 20, 2024. Retrieved May 24, 2024.
^ “These ISIS news anchors are AI fakes. Their propaganda is real”. Washington Post. May 17, 2024. Archived from the initial 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 Times. ISSN 0362-4331. Archived from the original 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 original 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 shocked to discover their name and work have actually been AI-zombified”. The Verge. Archived from the original on July 12, 2024. Retrieved August 27, 2024.
^ “AI slop is currently attacking Oregon’s regional journalism”. Oregon Public Broadcasting. December 9, 2024. Archived from the original on December 9, 2024. Retrieved December 10, 2024.
^ Knibbs, Kate (February 26, 2024). “How a Small Iowa Newspaper’s Website Became an AI-Generated Clickbait Factory”. Wired. ISSN 1059-1028. Archived from the original on February 26, 2024. Retrieved December 10, 2024.
^ Koebler, Jason; Cole, Samantha; Maiberg, Emanuel; Cox, Joseph (January 26, 2024). “We Need Your Email Address”. 404 Media. Archived from the 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 alert AI might result in ‘destruction’ of regional news”. Washington Post. ISSN 0190-8286. Archived from the original 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 left news. Now the company’s using 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 initial on September 23, 2023. Retrieved January 8, 2024.
^ Viner, Katharine; Bateson, Anna (June 16, 2023). “The Guardian’s approach 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.