
Dropmark
Add a review FollowOverview
-
Founded Date September 4, 1907
-
Sectors Construction / Facilities
-
Posted Jobs 0
-
Viewed 7
Company Description
Generative Expert System
Improvements in transformer-based deep neural networks, particularly big language models (LLMs), made it possible for an AI boom of generative AI systems in the early 2020s. These consist of chatbots such as ChatGPT, Copilot, Gemini, and LLaMA; text-to-image synthetic intelligence image generation systems such as Stable Diffusion, Midjourney, and DALL-E; and text-to-video AI generators such as Sora. [9] [10] [11] [12] Companies such as OpenAI, Anthropic, Microsoft, Google, and Baidu in addition to numerous smaller sized firms have actually established generative AI designs. [7] [13] [14]
Generative AI has uses throughout a wide variety of markets, including software application advancement, healthcare, financing, entertainment, customer support, [15] sales and marketing, [16] art, composing, [17] fashion, [18] and item design. [19] However, concerns have been raised about the potential misuse of generative AI such as cybercrime, the usage of fake news or deepfakes to trick or manipulate people, and the mass replacement of human jobs. [20] [21] Copyright law issues likewise exist around generative designs that are trained on and replicate copyrighted masterpieces. [22]
Early history
Since its beginning, scientists in the field have raised philosophical and ethical arguments about the nature of the human mind and the effects of developing artificial beings with human-like intelligence; these problems have actually formerly been checked out by misconception, fiction and philosophy since antiquity. [23] The concept of automatic art go back a minimum of to the automata of ancient Greek civilization, where inventors such as Daedalus and Hero of Alexandria were referred to as having developed machines efficient in composing text, generating sounds, and playing music. [24] [25] The custom of creative automations has actually flourished throughout history, exemplified by Maillardet’s automaton developed in the early 1800s. [26] Markov chains have long been utilized to design natural languages because their development by Russian mathematician Andrey Markov in the early 20th century. Markov published his first paper on the topic in 1906, [27] [28] and analyzed the pattern of vowels and consonants in the unique Eugeny Onegin utilizing Markov chains. Once a Markov chain is found out on a text corpus, it can then be utilized as a probabilistic text generator. [29] [30]
Academic synthetic intelligence
The academic discipline of expert system was developed at a research workshop held at Dartmouth College in 1956 and has actually experienced numerous waves of development and optimism in the years given that. [31] Expert system research started in the 1950s with works like Computing Machinery and Intelligence (1950) and the 1956 Dartmouth Summer Research Project on AI. Since the 1950s, artists and scientists have actually utilized expert system to develop artistic works. By the early 1970s, Harold Cohen was producing and showing generative AI works created by AARON, the computer system program Cohen produced to generate paintings. [32]
The terms generative AI preparation or generative preparation were used in the 1980s and 1990s to refer to AI planning systems, especially computer-aided procedure preparation, used to produce series of actions to reach a specified objective. [33] [34] Generative AI planning systems used symbolic AI approaches such as state space search and restraint satisfaction and were a “reasonably fully grown” technology by the early 1990s. They were utilized to generate crisis action strategies for military use, [35] process prepare for making [33] and decision plans such as in model autonomous spacecraft. [36]
Generative neural nets (2014-2019)
Since its inception, the field of machine learning utilized both discriminative designs and generative models, to design and forecast data. Beginning in the late 2000s, the emergence of deep knowing drove progress and research in image category, speech acknowledgment, natural language processing and other tasks. Neural networks in this age 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 practical deep neural networks capable of finding out generative models, instead of discriminative ones, for complex data such as images. These deep generative models were the first to output not just class labels for images however likewise whole images.
In 2017, the Transformer network made it possible for developments in generative models compared to older Long-Short Term Memory designs, [38] resulting in the very first generative pre-trained transformer (GPT), called GPT-1, in 2018. [39] This was followed in 2019 by GPT-2 which demonstrated the ability to generalize without supervision to several jobs as a Foundation model. [40]
The brand-new generative models introduced during this period allowed for big neural networks to be trained utilizing without supervision knowing or semi-supervised learning, instead of the supervised knowing common of discriminative designs. Unsupervised knowing removed the need for humans to by hand label information, permitting bigger networks to be trained. [41]
Generative AI boom (2020-)
In March 2020, 15. ai, created by an anonymous MIT researcher, was a free web application that might create persuading character voices utilizing minimal training data. [42] The platform is credited as the first mainstream service to popularize AI voice cloning (audio deepfakes) in memes and content development, influencing subsequent developments in voice AI innovation. [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 top quality expert system art development from natural language triggers. [46] These systems demonstrated unprecedented capabilities in producing photorealistic images, art work, and develops based upon text descriptions, causing prevalent adoption amongst artists, designers, and the public.
In late 2022, the public release of ChatGPT transformed the availability and application of generative AI for general-purpose text-based jobs. [47] The system’s capability to engage in natural conversations, produce imaginative material, assist with coding, and carry out numerous analytical jobs captured global attention and sparked prevalent discussion about AI’s possible influence 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 “might reasonably be considered as an early (yet still insufficient) version of a synthetic general intelligence (AGI) system.” [49] However, this evaluation was objected to by other scholars who kept that generative AI remained “still far from reaching the criteria of ‘basic human intelligence'” since 2023. [50] Later in 2023, Meta launched ImageBind, an AI model combining numerous techniques including text, images, video, thermal data, 3D information, audio, and motion, leading the way for more immersive generative AI applications. [51]
In December 2023, Google revealed Gemini, a multimodal AI model offered in four variations: Ultra, Pro, Flash, and Nano. [52] The company integrated Gemini Pro into its Bard chatbot and revealed prepare for “Bard Advanced” powered by the bigger Gemini Ultra model. [53] In February 2024, Google combined Bard and Duet AI under the Gemini brand, launching a mobile app on Android and incorporating the service into the Google app on iOS. [54]
In March 2024, Anthropic released the Claude 3 family of big language designs, consisting of Claude 3 Haiku, Sonnet, and Opus. [55] The models showed considerable enhancements in capabilities throughout different criteria, with Claude 3 Opus significantly outperforming leading designs from OpenAI and Google. [56] In June 2024, Anthropic released Claude 3.5 Sonnet, which demonstrated 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 emerged as an international leader in generative AI adoption, with 83% of Chinese participants utilizing the technology, surpassing both the global average of 54% and the U.S. rate of 65%. This leadership is more evidenced by China’s copyright advancements in the field, with a UN report revealing that Chinese entities submitted over 38,000 generative AI patents from 2014 to 2023, considerably going beyond the United States in patent applications. [58]
Modalities
A generative AI system is built by applying unsupervised artificial intelligence (conjuring up for example neural network architectures such as generative adversarial networks (GANs), variation autoencoders (VAEs), transformers, or self-supervised device discovering trained on a dataset. The abilities of a generative AI system depend upon the modality or type of the information set used. 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 include GPT-3, GPT-4, GPT-4o, LaMDA, LLaMA, BLOOM, Gemini and others (see List of large language models). They are capable of natural language processing, machine translation, and natural language generation and can be used as structure designs for other 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 programs language text, permitting them to generate source code for new computer system programs. [63] Examples consist of OpenAI Codex and the VS Code fork Cursor. [64]
Images
Producing top quality visual art is a popular application of generative AI. [65] Generative AI systems trained on sets of images with text captions 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 typically utilized for text-to-image generation and neural design transfer. [66] Datasets consist of LAION-5B and others (see List of datasets in computer system vision and image processing).
Audio
Generative AI can also 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 showed the ability to clone character voices utilizing as low as 15 seconds of training information. [67] The site acquired widespread attention for its capability to create emotionally meaningful speech for various imaginary characters, though it was later taken offline in 2022 due to copyright concerns. [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 create brand-new musical samples based on text descriptions such as a relaxing violin melody backed by a distorted guitar riff.
Music
Audio deepfakes of lyrics have actually been generated, like the tune Savages, which utilized AI to mimic rapper Jay-Z’s vocals. Music artist’s instrumentals and lyrics are copyrighted however their voices aren’t secured from regenerative AI yet, raising an argument about whether artists need to get royalties from audio deepfakes. [74]
Many AI music generators have actually been developed that can be produced utilizing a text expression, category choices, and looped libraries of bars and riffs. [75]
Video
Generative AI trained on annotated video can create temporally-coherent, in-depth 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 generate brand-new trajectories for movement planning or navigation. For instance, UniPi from Google Research uses triggers like “get blue bowl” or “wipe plate with yellow sponge” to manage motions of a robot arm. [78] Multimodal “vision-language-action” models such as Google’s RT-2 can perform rudimentary reasoning in reaction to user triggers and visual input, such as getting a toy dinosaur when given the timely choice up the extinct animal at a table filled with toy animals and other things. [79]
3D modeling
Artificially intelligent computer-aided style (CAD) can utilize text-to-3D, image-to-3D, and video-to-3D to automate 3D modeling. [80] AI-based CAD libraries could also be established using connected open information of schematics and diagrams. [81] AI CAD assistants are used as tools to help improve workflow. [82]
Software and hardware
Generative AI designs are utilized to power chatbot items such as ChatGPT, programs tools such as GitHub Copilot, [83] text-to-image products such as Midjourney, and text-to-video products such as Runway Gen-2. [84] Generative AI features have actually been integrated into a variety of existing commercially available items such as Microsoft Office (Microsoft Copilot), [85] Google Photos, [86] and the Adobe Suite (Adobe Firefly). [87] Many generative AI designs are also available as open-source software application, consisting of Stable Diffusion and the LLaMA [88] language design.
Smaller generative AI models with as much as a few billion parameters can work on smart devices, ingrained devices, and personal computers. For example, LLaMA-7B (a variation with 7 billion criteria) can work on a Raspberry Pi 4 [89] and one version of Stable Diffusion can work on an iPhone 11. [90]
Larger designs with 10s of billions of parameters can work on laptop computer or desktop computer systems. To achieve 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 items. For example, the 65 billion specification variation of LLaMA can be configured to work on a desktop PC. [91]
The advantages of running generative AI in your area include security of personal privacy and copyright, and avoidance of rate limiting 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 one of just two sources Andrej Karpathy trusts for language design criteria. [93] Yann LeCun has actually advocated open-source designs for their worth to vertical applications [94] and for improving AI safety. [95]
Language designs with hundreds of billions of specifications, such as GPT-4 or PaLM, typically operate on datacenter computers geared up with arrays of GPUs (such as NVIDIA’s H100) or AI accelerator chips (such as Google’s TPU). These large models are usually 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 used for generative AI. [96] Chips such as the NVIDIA A800 [97] and the Biren Technology BR104 [98] were developed to meet the requirements of the sanctions.
There is free software application on the marketplace efficient in recognizing text created by generative expert system (such as GPTZero), along with images, audio or video originating from it. [99] Potential mitigation methods for discovering generative AI material consist of digital watermarking, content authentication, info retrieval, and artificial intelligence classifier designs. [100] Despite claims of precision, both totally free and paid AI text detectors have actually often produced false positives, wrongly accusing trainees of submitting AI-generated work. [101] [102]
Law and regulation
In the United States, a group of companies including OpenAI, Alphabet, and Meta signed a voluntary contract with the Biden administration in July 2023 to watermark AI-generated content. [103] In October 2023, Executive Order 14110 used the Defense Production Act to need all US business to report information to the federal government when training particular high-impact AI designs. [104] [105]
In the European Union, the proposed Artificial Intelligence Act includes requirements to divulge copyrighted material utilized to train generative AI systems, and to identify any AI-generated output as such. [106] [107]
In China, the Interim Measures for the Management of Generative AI Services presented by the Cyberspace Administration of China manages any public-facing generative AI. It includes requirements to watermark generated images or videos, policies on training information and label quality, constraints on individual data collection, and a guideline that generative AI must “follow socialist core values”. [108] [109]
Copyright
Training with copyrighted content
Generative AI systems such as ChatGPT and Midjourney are trained on large, openly available datasets that include copyrighted works. AI designers have actually argued that such training is safeguarded under reasonable use, while copyright holders have argued that it infringes their rights. [110]
Proponents of fair usage training have argued that it is a transformative usage and does not include making copies of copyrighted works readily available to the 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 take on the material they are trained on. [112]
As of 2024, several suits associated with using copyrighted product in training are ongoing. Getty Images has taken legal action against Stability AI over making use of its images to train Stable diffusion. [113] Both the Authors Guild and The New York City Times have taken legal action against Microsoft and OpenAI over using their works to train ChatGPT. [114] [115]
Copyright of AI-generated content
A separate concern is whether AI-generated works can certify for copyright defense. The United States Copyright Office has ruled that works developed by artificial intelligence 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 determine if these rules require to be improved for generative AI. [117]
Concerns
The advancement of generative AI has raised concerns from governments, businesses, and individuals, leading to demonstrations, legal actions, contacts us to pause AI experiments, and actions by numerous governments. In a July 2023 rundown of the United Nations Security Council, Secretary-General António Guterres specified “Generative AI has massive capacity for excellent and wicked at scale”, that AI may “turbocharge worldwide advancement” and contribute between $10 and $15 trillion to the international economy by 2030, but that its destructive use “might cause horrific levels of death and damage, prevalent injury, and deep mental damage on an unthinkable scale”. [118]
Job losses
From the early days of the advancement of AI, there have been arguments put forward by ELIZA developer Joseph Weizenbaum and others about whether jobs that can be done by computers in fact ought to be done by them, provided the distinction in between computers and humans, and between quantitative computations and qualitative, value-based judgements. [120] In April 2023, it was reported that image generation AI has led to 70% of the jobs for computer game illustrators in China being lost. [121] [122] In July 2023, developments in generative AI added to the 2023 Hollywood labor disagreements. Fran Drescher, president of the Screen Actors Guild, declared that “expert system positions an existential hazard to creative professions” during 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 work concerns amongst underrepresented groups internationally remains a crucial aspect. While AI promises effectiveness improvements and ability acquisition, issues about task displacement and prejudiced recruiting processes continue amongst these groups, as described in studies by Fast Company. To utilize AI for a more equitable society, proactive actions incorporate mitigating biases, advocating openness, respecting privacy and consent, and embracing diverse groups and ethical factors to consider. Strategies include redirecting policy emphasis on policy, inclusive style, and education’s capacity for individualized teaching to maximize benefits while minimizing damages. [126]
Racial and gender bias
Generative AI models can show and amplify any cultural predisposition present in the underlying information. For example, a language design may presume that doctors and judges are male, which secretaries or nurses are female, if those predispositions are common in the training data. [127] Similarly, an image design prompted with the text “a picture of a CEO” may disproportionately generate images of white male CEOs, [128] if trained on a racially biased data set. A variety of techniques for alleviating bias have actually been tried, such as altering input prompts [129] and reweighting training data. [130]
Deepfakes
Deepfakes (a portmanteau of “deep knowing” and “fake” [131] are AI-generated media that take a person in an existing image or video and change them with somebody else’s likeness using synthetic neural networks. [132] Deepfakes have actually amassed prevalent attention and issues for their uses in deepfake celeb adult videos, vengeance porn, fake news, hoaxes, health disinformation, financial fraud, and hidden foreign election interference. [133] [134] [135] [136] [137] [138] [139] This has generated actions from both market and government to identify and restrict their use. [140] [141]
In July 2023, the fact-checking company Logically discovered that the popular generative AI models Midjourney, DALL-E 2 and Stable Diffusion would produce plausible 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 (distributed journal technology) to promote “openness, verifiability, and decentralization in AI advancement and usage”. [144]
Audio deepfakes
Instances of users abusing software to generate questionable statements in the singing style of celebs, public officials, and other well-known individuals have raised ethical concerns over voice generation AI. [145] [146] [147] [148] [149] [150] In response, business such as ElevenLabs have stated that they would work on mitigating potential abuse through safeguards and identity verification. [151]
Concerns and fandoms have actually spawned from AI-generated music. The same software utilized to clone voices has been utilized on well-known artists’ voices to develop songs that mimic their voices, gaining both remarkable appeal and criticism. [152] [153] [154] Similar strategies have actually likewise been used to develop better quality or full-length versions of tunes that have been dripped or have yet to be launched. [155]
Generative AI has also been used to create brand-new digital artist characters, with a few of these receiving sufficient attention to receive record offers at significant labels. [156] The designers of these virtual artists have also faced their fair share of criticism for their personified programs, consisting of reaction for “dehumanizing” an artform, and likewise producing artists which produce impractical or unethical appeals to their audiences. [157]
Cybercrime
Generative AI’s capability to develop reasonable phony material has actually been made use of in many types of cybercrime, including phishing frauds. [158] Deepfake video and audio have been utilized to produce disinformation and fraud. In 2020, former Google click fraud czar Shuman Ghosemajumder argued that when deepfake videos end up being completely reasonable, they would stop appearing exceptional to audiences, possibly resulting in uncritical approval of incorrect information. [159] Additionally, large language designs and other kinds of text-generation AI have actually been used to create phony evaluations of e-commerce websites to increase rankings. [160] Cybercriminals have developed big language designs focused on fraud, 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 obtain assist with harmful requests, such as for crafting social engineering and phishing attacks. [162] Additionally, other researchers have shown that open-source designs can be fine-tuned to remove their security limitations at low cost. [163]
Reliance on market giants
Training frontier AI models requires a huge amount of calculating power. Usually only Big Tech business have the funds to make such financial investments. Smaller start-ups such as Cohere and OpenAI wind up buying access to data centers from Google and Microsoft respectively. [164]
Energy and environment
Scientists and journalists have revealed issues about the environmental effect that the development and deployment of generative models are having: high CO2 emissions, [165] [166] [167] large amounts of freshwater used for information centers, [168] [169] and high amounts of electrical energy usage. [170] [166] [171] There is also concern that these effects may increase as these models are integrated into widely used search engines such as Google Search and Bing; [170] as chatbots and other applications end up being more popular; [170] [169] and as models need to be retrained. [170]
Proposed mitigation techniques consist of factoring potential ecological expenses prior to model advancement or information collection, [165] increasing efficiency of data centers to reduce electricity/energy use, [168] [170] [166] [169] [171] [167] constructing more effective machine finding out designs, [168] [166] [169] decreasing the number of times that designs need to be retrained, [167] establishing a government-directed framework for auditing the environmental effect of these designs, [168] [167] controling for openness of these designs, [167] controling their energy and water use, [168] motivating researchers to publish data on their models’ carbon footprint, [170] [167] and increasing the variety of subject matter specialists who understand both device learning and environment science. [167]
Content quality
The New york city Times defines slop as comparable to spam: “substandard or unwanted 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 created content with respect to social media content small amounts, [173] the monetary rewards from social networks companies to spread such material, [173] [174] false political messaging, [174] spamming of scientific research paper submissions, [175] increased effort and time to discover higher quality or desired content on the Internet, [176] the indexing of created content 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 web pages, were machine translated. Much of these automated translations were seen as lower quality, specifically for sentences that were equated across at least 3 languages. Many lower-resource languages (ex. Wolof, Xhosa) were equated across more languages than higher-resource languages (ex. English, French). [179] [180]
In September 2024, Robyn Speer, the author of wordfreq, an open source database that determined word frequencies based upon text from the Internet, announced that she had stopped upgrading the information for numerous reasons: high costs for getting data from Reddit and Twitter, excessive concentrate on generative AI compared to other approaches in the natural language processing community, and that “generative AI has contaminated the information”. [181]
The adoption of generative AI tools caused a surge of AI-generated material across multiple domains. A study from University College London approximated that in 2023, more than 60,000 scholarly articles-over 1% of all publications-were likely written with LLM assistance. [182] According to Stanford University’s Institute for Human-Centered AI, around 17.5% of recently published computer technology documents and 16.9% of peer evaluation text now include content created by LLMs. [183]
Visual material follows a comparable pattern. Since the launch of DALL-E 2 in 2022, it is approximated that approximately 34 million images have been produced daily. Since August 2023, more than 15 billion images had actually been created using text-to-image algorithms, with 80% of these produced by models based on Stable Diffusion. [184]
If AI-generated content is consisted of in brand-new data crawls from the Internet for additional training of AI designs, defects in the resulting models may occur. [185] Training an AI design specifically on the output of another AI model produces a lower-quality design. Repeating this procedure, where each brand-new design is trained on the previous design’s output, leads to progressive destruction and ultimately leads to a “design collapse” after numerous 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 gathered from genuine human interactions with systems may end up being significantly valuable in the presence of LLM-generated content in information crawled from the Internet.
On the other side, synthetic information is typically used as an alternative to data produced by real-world events. Such information can be deployed to verify mathematical designs and to train artificial intelligence designs while maintaining user personal privacy, [188] consisting of for structured data. [189] The technique is not restricted to text generation; image generation has been used 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 released a fake AI-generated interview with previous racing driver Michael Schumacher, who had actually not made any public appearances because 2013 after sustaining a brain injury in a snowboarding mishap. The story included 2 possible disclosures: the cover consisted of the line “stealthily genuine”, and the interview consisted of an acknowledgment at the end that it was AI-generated. The editor-in-chief was fired soon thereafter amidst the debate. [192]
Other outlets that have released articles whose content and/or byline have been confirmed or presumed to be developed by generative AI models – frequently with false material, errors, and/or non-disclosure of generative AI use – 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 used generative AI to produce short articles for numerous of the previously mentioned outlets, appeared to reveal that they “had actually produced tens of countless posts for more than 150 publishers.” [201]
News broadcasters in Kuwait, Greece, South Korea, India, China and Taiwan have actually provided news with anchors based on Generative AI designs, triggering concerns about task losses for human anchors and audience trust in news that has traditionally been influenced by parasocial relationships with broadcasters, material creators or social networks influencers. [220] [221] [222] Algorithmically created anchors have actually likewise been utilized by allies of ISIS for their broadcasts. [223]
In 2023, Google apparently pitched a tool to news outlets that claimed to “produce newspaper article” based upon input data offered, such as “details of existing events”. Some news company executives who saw the pitch explained it as” [taking] for given the effort that entered into producing precise and artful news stories.” [224]
In February 2024, Google launched a program to pay small publishers to write 3 articles per day utilizing a beta generative AI design. The program does not require the understanding or authorization of the websites that the publishers are using as sources, nor does it require the released posts to be labeled as being created or assisted by these models. [225]
Many defunct news sites (The Hairpin, The Frisky, Apple Daily, Ashland Daily Tidings, Clayton County Register, Southwest Journal) and blogs (The Unofficial Apple Weblog, iLounge) have undergone cybersquatting, with short articles created by generative AI. [226] [227] [228] [229] [230] [231] [232] [233]
United States Senators Richard Blumenthal and Amy Klobuchar have revealed issue that generative AI could have a harmful influence on regional news. [234] In July 2023, OpenAI partnered with the American Journalism Project to fund regional news outlets for experimenting with generative AI, with Axios noting the possibility of generative AI business producing a dependence for these news outlets. [235]
Meta AI, a chatbot based on Llama 3 which sums up newspaper article, was kept in mind by The Washington Post to copy sentences from those stories without direct attribution and to possibly additional reduce the traffic of online news outlets. [236]
In action to potential mistakes around the usage and abuse of generative AI in journalism and fret about declining audience trust, outlets worldwide, consisting of publications such as Wired, Associated Press, The Quint, Rappler or The Guardian have published standards 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 survey of individuals in America and Europe, Reuters Institute reports that 52% and 47% respectively are uncomfortable with news produced by “mainly AI with some human oversight”, and 23% and 15% respectively report being comfy. 42% of Americans and 33% of Europeans reported that they were comfy with news produced by “primarily human with some assistance from AI”. The outcomes of international surveys reported that individuals were more unpleasant with news subjects consisting of politics (46%), crime (43%), and local news (37%) produced by AI than other news subjects. [241]
Computer shows portal
Technology website
Artificial basic intelligence – Type of AI with comprehensive abilities
Artificial creativity – Artificial simulation of human creativity
Expert system art – Visual media developed with AI
Artificial life – Discipline
Chatbot – Program that imitates conversation
Computational creativity – Multidisciplinary endeavour
Generative adversarial network – Deep knowing technique
Generative pre-trained transformer – Kind of large language design
Large language model – Kind of artificial intelligence model
Music and expert system – Usage of expert system to generate music
Generative AI pornography – Explicit material produced by generative AI
Procedural generation – Method in which data is developed algorithmically instead of by hand
Retrieval-augmented generation – Kind of info retrieval using LLMs
Stochastic parrot – Term utilized in maker learning
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 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 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 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 City Times. ISSN 0362-4331. Archived from the initial on February 15, 2024. Retrieved February 16, 2024.
^ “The race of the AI laboratories 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, companies, and governments”. Archived from the initial on November 17, 2023. Retrieved March 15, 2023.
^ Brynjolfsson, Erik; Li, Danielle; Raymond, Lindsey R. (April 2023), Generative AI at Work (Working Paper), Working Paper Series, doi:10.3386/ w31161, archived from the initial on March 28, 2024, recovered January 21, 2024
^ “Don’t fear an AI-induced tasks apocalypse just yet”. The Economist. March 6, 2023. Archived from the original on November 17, 2023. Retrieved March 14, 2023.
^ Coyle, Jake (September 27, 2023). “In Hollywood writers’ battle versus AI, people win (in the meantime)”. AP News. Associated Press. Archived from the initial on April 3, 2024. Retrieved January 26, 2024.
^ Harreis, H.; Koullias, T.; Roberts, Roger. “Generative AI: Unlocking the future of fashion”. Archived from the initial on November 17, 2023. Retrieved March 14, 2023.
^ “How Generative AI Can Augment Human Creativity”. Harvard Business Review. June 16, 2023. ISSN 0017-8012. Archived from the initial on June 20, 2023. Retrieved June 20, 2023.
^ Hendrix, Justin (May 16, 2023). “Transcript: Senate Judiciary Subcommittee Hearing on Oversight of AI”. techpolicy.press. Archived from the initial on November 17, 2023. Retrieved May 19, 2023.
^ Simon, Felix M.; Altay, Sacha; Mercier, Hugo (October 18, 2023). “Misinformation reloaded? Fears about the effect of generative AI on 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 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 original on January 13, 2018, recovered October 22, 2019
^ Brett, Gerard (July 1954), “The Automata in the Byzantine “Throne of Solomon””, Speculum, 29 (3 ): 477-487, doi:10.2307/ 2846790, ISSN 0038-7134, JSTOR 2846790, S2CID 163031682.
^ kelinich (March 8, 2014). “Maillardet’s Automaton”. The Franklin Institute. Archived from the 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 initial on May 7, 2024. Retrieved September 24, 2023.
^ Fine, Shai; Singer, Yoram; Tishby, Naftali (July 1, 1998). “The Hierarchical Hidden Markov Model: Analysis and Applications”. Machine Learning. 32 (1 ): 41-62. doi:10.1023/ A:1007469218079. ISSN 1573-0565. S2CID 3465810.
^ Crevier, Daniel (1993 ). AI: The Tumultuous Look For Artificial Intelligence. New York City, New York City: BasicBooks. p. 109. ISBN 0-465-02997-3.
^ Bergen, Nathan; Huang, Angela (2023 ). “A Brief History of Generative AI” (PDF). Dichotomies: Generative AI: Navigating Towards a Better Future (2 ): 4. Archived (PDF) from the initial on August 10, 2023. Retrieved August 8, 2023.
^ a b Alting, Leo; Zhang, Hongchao (1989 ). “Computer helped process preparation: the cutting edge 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 planning and scheduling for goal-based self-governing spacecraft”. IEEE Intelligent Systems and Their Applications. 13 (5 ): 50-55. doi:10.1109/ 5254.722362.
^ Burstein, Mark H., ed. (1994 ). ARPA/Rome Laboratory Knowledge-based Planning and Scheduling Initiative Workshop Proceedings. The Advanced Research Projects Agency, Department of Defense, and Rome Laboratory, US Flying Force, Griffiss AFB. p. 219. ISBN 155860345X.
^ Pell, Barney; Bernard, Douglas E.; Chien, Steve A.; Gat, Erann; Muscettola, Nicola; Nayak, P. Pandurang; Wagner, Michael D.; Williams, Brian C. (1998 ). Bekey, George A. (ed.). A Self-governing Spacecraft Agent Prototype. Autonomous Robots Volume 5, No. 1. pp. 29-45. Our deliberator is a traditional generative AI coordinator based upon the HSTS preparation structure (Muscettola, 1994), and our control component is a standard spacecraft mindset control system (Hackney et al. 1993). We likewise add an architectural component explicitly committed to world modeling (the mode identifier), and identify in between control and monitoring.
^ Jebara, Tony (2012 ). Machine knowing: discriminative and generative. Vol. 755. Springer Science & Business Media.
^ Cao, Yihan; Li, Siyu; Liu, Yixin; Yan, Zhiling; Dai, Yutong; Yu, Philip S.; Sun, Lichao (March 7, 2023). “A Thorough Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT”. arXiv:2303.04226 [cs.AI]
^ “finetune-transformer-lm”. GitHub. Archived from the original on May 19, 2023. Retrieved May 19, 2023.
^ Radford, Alec; Wu, Jeffrey; Child, Rewon; Luan, David; Amodei, Dario; Sutskever, Ilya (2019 ). “Language models are without supervision multitask learners” (PDF). OpenAI Blog.
^ Radford, Alec (June 11, 2018). “Improving language comprehending with without supervision 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 initial on December 28, 2024. Retrieved December 25, 2024.
^ Anirudh VK (March 18, 2023). “Deepfakes Are Elevating Meme Culture, But At What Cost?”. Analytics India Magazine. Archived from the original on December 26, 2024. Retrieved December 18, 2024. While AI voice memes have actually been around in some kind since ’15. ai’ released in 2020, […] ^ Coldewey, Devin (January 5, 2021). “OpenAI’s DALL-E produces 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 change 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 try outs 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 Information Technology. 38 (2 ): 232-238. doi:10.1177/ 02683962231200411. S2CID 261753752.
^ “Meta open-sources multisensory AI design 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 initial on December 6, 2023. Retrieved December 6, 2023.
^ Edwards, Benj (December 6, 2023). “Google releases Gemini-a powerful AI design 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 reveals Claude 3, exceeding GPT-4 and Gemini Ultra in benchmark tests”. Venture Beat. Retrieved April 9, 2024.
^ Pierce, David (June 20, 2024). “Anthropic has a quick new AI design – and a clever new method to connect with chatbots”. The Verge. Retrieved June 22, 2024.
^ Baptista, Eduardo (July 9, 2024). “China leads the world in adoption of generative AI, study shows”. Reuters. Retrieved July 14, 2024.
^ “A History of Generative AI: From GAN to GPT-4″. March 21, 2023. Archived from the original on June 10, 2023. Retrieved April 28, 2023.
^ “Explainer: What is Generative AI, the technology behind OpenAI’s ChatGPT?”. Reuters. March 17, 2023. Archived from the initial on March 30, 2023. Retrieved March 17, 2023.
^ Roose, Kevin (February 16, 2023). “Bing’s A.I. Chat: ‘I Want to Live.'”. The New York City Times. Archived from the initial on April 15, 2023. Retrieved January 30, 2024.
^ Bommasani, R.; Hudson, D. A.; Adeli, E.; Altman, R.; Arora, S.; von Arx, S.; Bernstein, M. S.; Bohg, J.; Bosselut, A; Brunskill, E.; Brynjolfsson, E. (August 16, 2021). “On the chances and threats 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]
^ “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 Machine Learning. 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 initial on January 18, 2021. Retrieved December 18, 2024.
^ Kurosawa, Yuki (January 19, 2021). “ゲームキャラ音声読み上げソフト 15. ai 公開中 。 Undertale や Portal のキャラに好きなセリフを言ってもらえる” [Game Character Voice Reading Software “15. ai” Now Available. Get Characters from Undertale and Portal to Say Your Desired Lines] AUTOMATON (in Japanese). Archived from the initial on January 19, 2021. Retrieved December 18, 2024. 英語版ボイスのみなので注意 。; もうひとつ15.aiの大きな特徴として挙げられるのが 、 豊かな感情表現だ 。 [Please keep in mind that just English voices are available.; Another major 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 used 20,000 hours of certified music to train MusicGen, which included 10,000 “premium” certified music tracks. At the time, Meta’s scientists detailed in a paper the ethical challenges that they came across around the development of generative AI models like MusicGen”. Archived from the initial on August 15, 2023.
^ “Jay-Z’s Delaware manufacturer stimulates argument over AI rights”. Archived from the original on February 27, 2024. Retrieved February 27, 2024.
^ “10 “Best” AI Music Generators (April 2024) – Unite.AI”. October 19, 2022. Archived from the original on January 29, 2024. Retrieved February 27, 2024.
^ Metz, Cade (April 4, 2023). “Instant Videos Could Represent the Next Leap in A.I. Technology”. The New York Times. Archived from the 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 through text-guided video generation”. Google Research, Brain Team. Google AI Blog. Archived from the original on May 24, 2023.
^ Brohan, Anthony (2023 ). “RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control”. arXiv:2307.15818 [cs.RO]
^ Abdullahi, Aminu (November 17, 2023). “10 Best Artificial Intelligence (AI) 3D Generators”. eWEEK. Archived from the original on May 7, 2024. Retrieved February 6, 2024.
^ “Slash CAD design build times with brand-new AI-driven part production methodology|GlobalSpec”. Archived from the initial on January 23, 2024. Retrieved February 6, 2024.
^ “The Role of Expert System (AI) in the CAD Industry”. March 22, 2023. Archived from the original on February 9, 2024. Retrieved February 6, 2024.
^ Sabin, Sam (June 30, 2023). “GitHub has a vision to make code more secure by design”. Axios Codebook. Archived from the initial on August 15, 2023. Retrieved August 15, 2023.
^ Vincent, James (March 20, 2023). “Text-to-video AI inches better as start-up Runway announces new model”. The Verge. Archived from the original on September 27, 2023. Retrieved August 15, 2023. Text-to-video is the next frontier for generative AI, though current output is rudimentary. Runway states it’ll be making its new generative video model, Gen-2, offered 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 company software … the new A.I. features, dubbed Copilot, will be readily available in a few of the company’s most popular business apps, consisting of Word, PowerPoint and Excel.
^ Wilson, Mark (August 15, 2023). “The app’s Memories function simply got a huge upgrade”. TechRadar. Archived from the original on August 15, 2023. The Google Photos app is getting a redesigned, AI-powered Memories feature … you’ll have the ability to utilize generative AI to come up with some suggested names like “a desert experience”.
^ 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 end up being one of the most crucial functions for creative designers and online marketers. Adobe on Tuesday unveiled 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 flexible open-source chatbot right now”. VentureBeat. Archived from the original on November 3, 2023. Retrieved August 15, 2023. If you wish to run LLaMA 2 on your own maker or modify the code, you can download it straight from Hugging Face, a leading platform for sharing AI designs.
^ Pounder, Les (March 25, 2023). “How To Create Your Own AI Chatbot Server With Raspberry Pi 4”. Archived from the original on August 15, 2023. Retrieved August 15, 2023. Using a Pi 4 with 8GB of RAM, you can produce a ChatGPT-like server based upon LLaMA.
^ Kemper, Jonathan (November 10, 2022). “”Draw Things” App brings Stable Diffusion to the iPhone”. The Decoder. Archived from the original on August 15, 2023. Retrieved August 15, 2023. Draw Things is an app that brings Stable Diffusion to the iPhone. The AI images are produced locally, so you don’t require a Web connection.
^ Witt, Allan (July 7, 2023). “Best Computer to Run LLaMA AI Model at Home (GPU, CPU, RAM, SSD)”. Archived from the initial on August 15, 2023. Retrieved August 15, 2023. To run LLaMA model at home, you will need a computer system build with an effective GPU that can deal with the big quantity of data 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 initial on January 7, 2024. Retrieved January 7, 2024.
^ @karpathy (December 20, 2023). “I pretty 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) – through Twitter.
^ @ylecun (November 1, 2023). “Open source platforms * increase * safety and security” (Tweet) – by means of Twitter.
^ Nellis, Stephen; Lee, Jane (September 1, 2022). “U.S. authorities order Nvidia to stop sales of leading AI chips to China”. Reuters. Archived from the initial on August 15, 2023. Retrieved August 15, 2023.
^ Shilov, Anton (May 7, 2023). “Nvidia’s Chinese A800 GPU’s Performance Revealed”. Tom’s Hardware. Archived from the 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 just 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 complimentary software application to identify phony AI-generated images” (in Italian). October 28, 2023. Archived from the original 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 initial on September 3, 2024. Retrieved September 5, 2024.
^ Fowler, Geoffrey (April 3, 2023). “We checked a new ChatGPT-detector for teachers. 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 may be difficult. That’s a big problem for teachers”. washingtonpost.com. Archived from the initial on June 3, 2023. Retrieved February 6, 2024.
^ Bartz, Diane; Hu, Krystal (July 21, 2023). “OpenAI, Google, others promise to watermark AI content for security, White House says”. Reuters. Archived from the original on July 27, 2023.
^ “FACT SHEET: President Biden Issues Executive Order on Safe, Secure, and Trustworthy Expert System”. The White House. October 30, 2023. Archived from the initial on January 30, 2024. Retrieved January 30, 2024.
^ Burt, Andrew (October 31, 2023). “3 Obstacles to Regulating Generative AI”. Harvard Business Review. ISSN 0017-8012. Archived from the initial on February 17, 2024. Retrieved February 17, 2024.
^ “EU AI Act: first policy on expert system”. European Parliament. August 6, 2023. Retrieved September 13, 2024.
^ Chee, Foo Yun; Mukherjee, Supantha (June 14, 2023). “EU lawmakers vote for tougher AI rules as draft relocate to last”. Reuters. Archived from the original on July 27, 2023. Retrieved July 26, 2023.
^ Ye, Josh (July 13, 2023). “China states generative AI rules to apply just to items for the public”. Reuters. Archived from the original on July 27, 2023. Retrieved July 13, 2023.
^ “生成式人工智能服务管理暂行办法”. July 13, 2023. Archived from the original on July 27, 2023. Retrieved July 27, 2023.
^ a b “Generative Artificial Intelligence and Copyright Law”. Congressional Research Service. LSB10922. September 29, 2023. Archived from the original on March 22, 2024. Retrieved January 30, 2024.
^ Thompson, Stuart (January 25, 2024). “We Asked A.I. to Create the Joker. It Generated a Copyrighted Image”. The New York Times. Archived from the original on January 25, 2024. Retrieved January 26, 2024.
^ Hadero, Haleluya; Bauder, David (December 27, 2023). “The New York Times sues OpenAI and Microsoft for utilizing its stories to train chatbots”. Associated Press News. AP News. Archived from the original on December 27, 2023. Retrieved April 13, 2023.
^ O’Brien, Matt (September 25, 2023). “Photo giant Getty took a leading AI image-maker to court. Now it’s also embracing the technology”. AP NEWS. Associated Press. Archived from the original on January 30, 2024. Retrieved January 30, 2024.
^ Barber, Gregory (December 9, 2023). “The Generative AI Copyright Fight Is Just Beginning”. Wired. Archived from the initial on January 19, 2024. Retrieved January 19, 2024.
^ Bruell, Alexandra (December 27, 2023). “New York City Times Sues Microsoft and OpenAI, Alleging Copyright Infringement”. Wall Street Journal. Archived from the original on January 18, 2024. Retrieved January 19, 2024.
^ Brittain, Blake (August 21, 2023). “AI-generated art can not 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 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 initial on July 28, 2023. Retrieved July 27, 2023.
^ “The Writers Strike Is Taking a Stand on AI”. Time. May 4, 2023. Archived from the original on June 11, 2023. Retrieved June 11, 2023.
^ Tarnoff, Ben (August 4, 2023). “Lessons from Eliza”. The Guardian Weekly. pp. 34-39.
^ Zhou, Viola (April 11, 2023). “AI is currently taking computer game illustrators’ jobs in China”. Rest of World. Archived from the initial on August 13, 2023. Retrieved August 17, 2023.
^ Carter, Justin (April 11, 2023). “China’s video game art industry apparently annihilated by growing AI use”. Game Developer. Archived from the original on August 17, 2023. Retrieved August 17, 2023.
^ Collier, Kevin (July 14, 2023). “Actors vs. AI: Strike brings focus to emerging usage of innovative tech”. NBC News. Archived from the initial on July 20, 2023. Retrieved July 21, 2023. SAG-AFTRA has actually signed up with the Writer’s [sic] Guild of America in demanding a contract that explicitly demands AI guidelines to protect authors and the works they produce. … The future of generative synthetic intelligence in Hollywood-and how it can be used to change labor-has become a crucial 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), stated that ‘artificial intelligence poses an existential danger to innovative occupations, and all actors and agreement language that safeguards them from having their identity and skill made use of without authorization and pay.’
^ Wiggers, Kyle (August 22, 2023). “ElevenLabs’ voice-generating tools introduce out of beta”. TechCrunch. Archived from the original on November 28, 2023. Retrieved September 25, 2023.
^ Shrivastava, Rashi. “‘Keep Your Paws Off My Voice’: Voice Actors Worry Generative AI Will Steal Their Livelihoods”. Forbes. Archived from the initial on December 2, 2023. Retrieved November 28, 2023.
^ Gupta, Shalene (October 31, 2023). “Underrepresented groups in nations all over the world are stressed over AI being a risk to tasks”. Fast Company. Archived from the original on December 8, 2023. Retrieved December 8, 2023.
^ Rachel Gordon (March 3, 2023). “Large language models are biased. Can reasoning 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 original on January 26, 2024. Retrieved January 26, 2024.
^ Jake Traylor (July 27, 2022). “No fast fix: How OpenAI’s DALL · E 2 highlighted the difficulties of predisposition in AI”. NBC News. Archived from the initial on January 26, 2024. Retrieved January 26, 2024.
^ “DALL · E 2 pre-training mitigations”. OpenAI. June 28, 2022. Archived from the original on January 26, 2024. Retrieved January 26, 2024.
^ Brandon, John (February 16, 2018). “Terrifying high-tech 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 worldwide showdown”. The Outline. Archived from the original on January 16, 2020. Retrieved February 28, 2018.
^ Roose, Kevin (March 4, 2018). “Here Come the Fake Videos, Too”. The New York Times. ISSN 0362-4331. Archived from the 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 interference in 2024 election”. Semafor. Archived from the initial on March 11, 2024. Retrieved March 6, 2024.
^ Menn, Joseph (September 23, 2024). “Russia, Iran use AI to increase anti-U.S. influence projects, officials state”. The Washington Post. ISSN 0190-8286. Archived from the initial on September 24, 2024. Retrieved September 23, 2024.
^ “Join the Deepfake Detection Challenge (DFDC)”. deepfakedetectionchallenge.ai. Archived from the initial on January 12, 2020. Retrieved November 8, 2019.
^ Clarke, Yvette D. (June 28, 2019). “H.R. 3230 – 116th Congress (2019-2020): Defending Each and Every Person from False Appearances by Keeping Exploitation Subject to Accountability Act of 2019”. www.congress.gov. Archived from the original on December 17, 2019. Retrieved October 16, 2019.
^ “New Research Reveals Scale of Threat Posed by AI-generated Images on 2024 Elections”. Logically. July 27, 2023. Archived from the initial on October 3, 2023. Retrieved July 6, 2024.
^ Lawton, Graham (September 12, 2023). “Disinformation wars: The 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 difficulties of generative technologies: Proposing the combination of expert system and blockchain”. Business Horizons. 67 (5 ): 525-535. doi:10.1016/ j.bushor.2024.04.011. ISSN 0007-6813.
^ “People Are Still Terrible: AI Voice-Cloning Tool Misused for Deepfake Celeb Clips”. PCMag Middle East. January 31, 2023. Archived from the original on December 25, 2023. Retrieved July 25, 2023.
^ “The generative A.I. software race has actually begun”. 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 danger from AI-driven disinformation, state experts”. The Guardian. ISSN 0261-3077. Archived from the initial on November 16, 2023. Retrieved July 25, 2023.
^ “Seeing is thinking? Global scramble to tackle deepfakes”. news.yahoo.com. Archived from the initial on February 3, 2023. Retrieved February 3, 2023.
^ Vincent, James (January 31, 2023). “4chan users 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 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”. Wanderer. 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 songs that imitate 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 Artificial Intelligence to Turn Rap Snippets Into Full Songs”. Complex. Archived from the initial on January 2, 2024. Retrieved December 6, 2023.
^ Marr, Bernard. “Virtual Influencer Noonoouri Lands Record Deal: Is She The Future Of Music?”. Forbes. Archived from the original on December 4, 2023. Retrieved December 6, 2023.
^ Thaler, Shannon (September 8, 2023). “Warner Music indications first-ever record deal with AI pop star”. New York 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 initial on July 31, 2023. Retrieved July 31, 2023.
^ Sonnemaker, Tyler. “As social media platforms brace for the incoming wave of deepfakes, Google’s former ‘scams czar’ forecasts the most significant risk is that deepfakes will eventually end up being boring”. Business Insider. Archived from the initial on April 14, 2021. Retrieved July 31, 2023.
^ Collinson, Patrick (July 15, 2023). “Fake evaluations: can we trust what we checked out online as usage of AI blows up?”. The Guardian. ISSN 0261-3077. Archived from the original on November 22, 2023. Retrieved December 6, 2023.
^ “After WormGPT, FraudGPT Emerges to Help Scammers Steal Your Data”. PCMAG. July 25, 2023. Archived from the original on July 31, 2023. Retrieved July 31, 2023.
^ Gupta, Maanak; Akiri, Charankumar; Aryal, Kshitiz; Parker, Eli; Praharaj, Lopamudra (2023 ). “From ChatGPT to ThreatGPT: Impact of Generative AI in Cybersecurity and Privacy”. IEEE Access. 11: 80218-80245. arXiv:2307.00691. Bibcode:2023 IEEEA..1180218 G. doi:10.1109/ ACCESS.2023.3300381. S2CID 259316122.
^ Piper, Kelsey (February 2, 2024). “Should we make our most 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 City, NY, USA: Association for Computing Machinery. pp. 610-623. doi:10.1145/ 3442188.3445922. ISBN 978-1-4503-8309-7.
^ a b c d “AI is an energy hog. This is what it suggests 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 impact of expert system”. Nature Machine Intelligence. 2 (8 ): 423-425. doi:10.1038/ s42256-020-0219-9. ISSN 2522-5839. Archived from the original on August 14, 2024.
^ a b c d e Crawford, Kate (February 20, 2024). “Generative AI’s ecological expenses are 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 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 researcher describes 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 initial on August 26, 2024. Retrieved August 27, 2024.
^ Hoffman, Benjamin (June 11, 2024). “First Came ‘Spam.’ Now, With A.I., We’ve Got ‘Slop'”. The New York Times. ISSN 0362-4331. Archived from the original on August 26, 2024. Retrieved August 27, 2024.
^ a b “Investigation Finds Actual Source of All That AI Slop on Facebook”. Futurism. August 10, 2024. Archived from the original on August 15, 2024. Retrieved August 27, 2024.
^ a b Warzel, Charlie (August 21, 2024). “The MAGA Aesthetic Is AI Slop”. The Atlantic. Archived from the original on August 25, 2024. Retrieved August 27, 2024.
^ Edwards, Benj (August 14, 2024). “Research AI model suddenly attempts to modify its own code to extend runtime”. Ars Technica. Archived from the original on August 24, 2024. Retrieved August 27, 2024.
^ Hern, Alex; Milmo, Dan (May 19, 2024). “Spam, scrap … slop? The newest wave of AI behind the ‘zombie web'”. The Guardian. ISSN 0261-3077. Archived from the initial on August 26, 2024. Retrieved August 27, 2024.
^ Cox, Joseph (January 18, 2024). “Google News Is Boosting Garbage AI-Generated Articles”. 404 Media. Archived from the initial on June 13, 2024. Retrieved August 27, 2024.
^ “Beloved Local Newspapers Fired Staffers, Then Started Running AI Slop”. Futurism. July 31, 2024. Archived from the 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 Shocking Amount of the Web is Machine Translated: Insights from Multi-Way Parallelism”. Findings of the Association for Computational Linguistics ACL 2024. Bangkok, Thailand and virtual conference: Association for Computational Linguistics: 1763-1775. arXiv:2401.05749. doi:10.18653/ v1/2024. findings-acl.103.
^ Roscoe, Jules (January 17, 2024). “A ‘Shocking’ Amount of the Web Is Already AI-Translated Trash, Scientists Determine”. VICE. Archived from the original on July 1, 2024. Retrieved August 27, 2024.
^ Koebler, Jason (September 19, 2024). “Project Analyzing Human Language Usage Shuts Down Because ‘Generative AI Has Polluted the Data'”. 404 Media. Archived from the original on September 19, 2024. Retrieved September 20, 2024. While there has actually always been spam on the internet and in the datasets that Wordfreq used, “it was manageable and frequently identifiable. Large language models generate text that masquerades as genuine language with objective behind it, although there is none, and their output crops up everywhere,” she composed. She offers the example that ChatGPT excessive uses the word “dive,” in a way that people do not, which has tossed off the frequency of this specific word.
^ Gray, Andrew (March 24, 2024). “ChatGPT “contamination”: estimating the 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 Threat to A.I. Itself”. The New York Times. ISSN 0362-4331. Retrieved August 27, 2024.
^ “Self-Consuming Generative Models Freak”. ICLR. 2024.
^ Owen, Sean (April 12, 2023). “Synthetic Data for Better Artificial Intelligence”. databricks.com. Archived from the initial on January 3, 2024. Retrieved January 4, 2024.
^ Sharma, Himanshu (July 11, 2023). “Synthetic Data Platforms: Unlocking the Power of Generative AI for Structured Data”. kdnuggets.com. Archived from the 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 more than half of its AI-written stories”. The Verge. Archived from the initial on November 6, 2023. Retrieved June 17, 2023.
^ “A magazine touted 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 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 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 Fake Person”. PetaPixel. Archived from the initial on January 4, 2024. Retrieved January 8, 2024.
^ Harrison, Maggie (August 29, 2023). “USA Today Owner Pauses AI Articles After Butchering Sports Coverage”. Futurism. Archived from the original 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 writers 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 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 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 Relocate To AI Content”. Futurism. Archived from the initial on December 6, 2023. Retrieved January 8, 2024.
^ a b c Kafka, Peter (July 18, 2023). “Pertaining to your internet, 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, In Addition To Warning They May Be Filled With Errors”. Futurism. Archived from the initial on January 29, 2025. Retrieved January 30, 2025.
^ Carroll, Rory (May 14, 2023). “Irish Times apologises for hoax AI article about women’s usage of fake tan”. The Guardian. ISSN 0261-3077. Archived from the initial on May 14, 2023. Retrieved January 8, 2024.
^ Christian, Jon (February 1, 2023). “CNET Sister Site Restarts AI Articles, Immediately Publishes Idiotic Error”. Futurism. Archived from the 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 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 initial on May 15, 2024. Retrieved May 24, 2024.
^ “What’s in a byline? For Hoodline’s AI-generated regional news, whatever – and nothing”. Nieman Lab. June 3, 2024. Archived from the original on June 6, 2024. Retrieved June 8, 2024.
^ “AI-generated news is here from S.F.-based Hoodline. What does that mean for standard publishers?”. San Francisco Chronicle. May 8, 2024. Archived from the original on June 5, 2024. Retrieved June 7, 2024.
^ Gold, Hadas (May 30, 2024). “A nationwide network of regional 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 captured using expert system to develop 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 articles, drawing criticism from journalists, co-founders”. ABC News. August 7, 2024. Archived from the initial on August 24, 2024. Retrieved August 27, 2024.
^ “AI-generated short 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 initial on August 11, 2024. Retrieved August 27, 2024.
^ “Apple says it will update AI function after unreliable news informs”. The Guardian. January 7, 2025. Archived from the initial on January 14, 2025. Retrieved January 14, 2025.
^ “TV channels are using AI-generated speakers to check out the news. The question is, will we trust them?”. BBC News. January 26, 2024. Archived from the original on January 26, 2024. Retrieved May 24, 2024.
^ Tait, Amelia (October 20, 2023). “‘Here is the news. You can’t stop us’: AI anchor Zae-In grants us an interview”. The Guardian. ISSN 0261-3077. Archived from the original on January 28, 2024. Retrieved May 24, 2024.
^ Kuo, Lily (November 9, 2018). “World’s first AI news anchor revealed in China”. The Guardian. ISSN 0261-3077. Archived from the initial on February 20, 2024. Retrieved May 24, 2024.
^ “These ISIS news anchors are AI fakes. Their propaganda is genuine”. Washington Post. May 17, 2024. Archived from the original on May 19, 2024. Retrieved May 24, 2024.
^ Mullin, Benjamin; Grant, Nico (July 20, 2023). “Google Tests A.I. Tool That Has The Ability To Write News Articles”. The New York Times. ISSN 0362-4331. Archived from the 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’ Turned Into an AI Clickbait Farm”. Wired. ISSN 1059-1028. Archived from the original on April 14, 2024. Retrieved May 24, 2024.
^ Koebler, Jason (July 9, 2024). “A Precious Tech Blog Is Now Publishing AI Articles Under the Names of Its Old Human Staff”. 404 Media. Archived from the initial on July 12, 2024. Retrieved August 27, 2024.
^ Hollister, Sean (July 10, 2024). “Early Apple tech bloggers are stunned to find their name and work have actually been AI-zombified”. The Verge. Archived from the initial on July 12, 2024. Retrieved August 27, 2024.
^ “AI slop is currently attacking Oregon’s local journalism”. Oregon Public Broadcasting. December 9, 2024. Archived from the initial on December 9, 2024. Retrieved December 10, 2024.
^ Knibbs, Kate (February 26, 2024). “How a Small Iowa Newspaper’s Website Became an AI-Generated Clickbait Factory”. Wired. ISSN 1059-1028. Archived from the 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 caution AI could result in ‘damage’ of local news”. Washington Post. ISSN 0190-8286. Archived from the initial on January 11, 2024. Retrieved May 24, 2024.
^ “OpenAI strikes $5 million-plus 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 material”. 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 initial on December 30, 2023. Retrieved January 8, 2024.
^ Barrett, Amanda (November 15, 2018). “Standards around generative AI“. Associated Press. Archived from the original on September 23, 2023. Retrieved January 8, 2024.
^ Viner, Katharine; Bateson, Anna (June 16, 2023). “The Guardian’s 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 relative study of journalistic AI policies in 52 international news organisations”. pp. 8-9. doi:10.31235/ osf.io/ c4af9.
^ Newman, Nic; Fletcher, Richard; Robertson, Craig T.; Arguedas, Amy Ross; Nielsen, Rasmus Fleis (June 2024). “Digital Report 2024” (PDF). Reuters Institute for the Study of Journalism.