Generative Expert System

Improvements in transformer-based deep neural networks, particularly large language designs (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 artificial intelligence image generation systems such as Stable Diffusion, Midjourney, and DALL-E; and text-to-video AI generators such as Sora. [9] [10] [11] [12] Companies such as OpenAI, Anthropic, Microsoft, Google, and Baidu in addition to many smaller companies have actually established generative AI models. [7] [13] [14]

Generative AI has uses across a wide variety of markets, consisting of software development, healthcare, financing, home entertainment, client service, [15] sales and marketing, [16] art, writing, [17] fashion, [18] and item style. [19] However, issues have actually been raised about the potential misuse of generative AI such as cybercrime, the use of phony news or deepfakes to trick or manipulate people, and the mass replacement of human jobs. [20] [21] Copyright law concerns likewise exist around generative models that are trained on and replicate copyrighted masterpieces. [22]

Early history

Since its creation, researchers in the field have actually raised philosophical and ethical arguments about the nature of the human mind and the repercussions of developing artificial beings with human-like intelligence; these problems have formerly been explored by myth, fiction and philosophy considering that antiquity. [23] The idea of automated art dates back a minimum of to the robot of ancient Greek civilization, where developers such as Daedalus and Hero of Alexandria were explained as having actually created devices efficient in writing text, creating sounds, and playing music. [24] [25] The tradition of imaginative automations has actually thrived throughout history, exhibited by Maillardet’s robot produced in the early 1800s. [26] Markov chains have long been utilized to model natural languages because their advancement by Russian mathematician Andrey Markov in the early 20th century. Markov released his first paper on the topic in 1906, [27] [28] and examined the pattern of vowels and consonants in the unique Eugeny Onegin using 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 expert system

The academic discipline of artificial intelligence was established at a research workshop held at Dartmouth College in 1956 and has experienced a number of waves of improvement and optimism in the decades because. [31] Artificial Intelligence research began in the 1950s with works like Computing Machinery and Intelligence (1950) and the 1956 Dartmouth Summer Research Project on AI. Since the 1950s, artists and scientists have actually used synthetic intelligence to create artistic 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 planning were used in the 1980s and 1990s to describe AI planning systems, especially computer-aided process preparation, used to generate series of actions to reach a specified objective. [33] [34] Generative AI planning systems utilized symbolic AI methods such as state area search and restraint fulfillment and were a “fairly mature” innovation by the early 1990s. They were utilized to generate crisis action strategies for military usage, [35] procedure plans for producing [33] and decision plans such as in prototype self-governing spacecraft. [36]

Generative neural nets (2014-2019)

Since its creation, the field of machine knowing used both discriminative designs and generative models, to design and predict data. Beginning in the late 2000s, the development of deep knowing drove progress and research in image category, speech recognition, natural language processing and other tasks. Neural networks in this period were normally trained as discriminative models, due to the trouble of generative modeling. [37]

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

In 2017, the Transformer network allowed advancements in generative models compared to older Long-Short Term Memory designs, [38] resulting in the very first generative pre-trained transformer (GPT), referred to as GPT-1, in 2018. [39] This was followed in 2019 by GPT-2 which demonstrated the ability to generalize not being watched to several tasks as a Foundation design. [40]

The new generative models introduced during this period allowed for big neural networks to be trained using unsupervised knowing or semi-supervised knowing, rather than the supervised learning common of discriminative designs. Unsupervised learning got rid of the requirement for humans to by hand label data, allowing for bigger networks to be trained. [41]

Generative AI boom (2020-)

In March 2020, 15. ai, produced by an anonymous MIT researcher, was a complimentary web application that could produce persuading character voices using minimal training data. [42] The platform is credited as the first mainstream service to popularize AI voice cloning (audio deepfakes) in memes and content creation, affecting subsequent advancements in voice AI innovation. [43] [44]

In 2021, the development 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 further democratized access to top quality artificial intelligence 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 prevalent adoption among artists, designers, and the general public.

In late 2022, the general public release of ChatGPT transformed the ease of access and application of generative AI for general-purpose text-based tasks. [47] The system’s capability to take part in natural discussions, generate innovative content, help with coding, and carry out different analytical jobs caught worldwide attention and triggered widespread 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 group from Microsoft Research controversially argued that it “could fairly be deemed an early (yet still incomplete) version of a synthetic basic intelligence (AGI) system.” [49] However, this assessment was objected to by other scholars who kept that generative AI remained “still far from reaching the standard of ‘general human intelligence'” as of 2023. [50] Later in 2023, Meta released ImageBind, an AI model integrating numerous methods including text, images, video, thermal information, 3D data, audio, and movement, leading the way for more immersive generative AI applications. [51]

In December 2023, Google revealed Gemini, a multimodal AI model available in 4 variations: Ultra, Pro, Flash, and Nano. [52] The business integrated Gemini Pro into its Bard chatbot and announced prepare for “Bard Advanced” powered by the larger Gemini Ultra design. [53] In February 2024, Google combined Bard and Duet AI under the Gemini brand name, introducing a mobile app on Android and integrating the service into the Google app on iOS. [54]

In March 2024, Anthropic launched the Claude 3 household of big language models, including Claude 3 Haiku, Sonnet, and Opus. [55] The models showed considerable improvements in capabilities throughout various benchmarks, with Claude 3 Opus notably outshining leading from OpenAI and Google. [56] In June 2024, Anthropic launched Claude 3.5 Sonnet, which demonstrated improved efficiency compared to the larger Claude 3 Opus, especially in locations such as coding, multistep workflows, and image analysis. [57]

According to a study by SAS and Coleman Parkes Research, China has become an international leader in generative AI adoption, with 83% of Chinese respondents using the technology, surpassing both the international average of 54% and the U.S. rate of 65%. This leadership is further evidenced by China’s intellectual residential or commercial property advancements in the field, with a UN report revealing that Chinese entities filed over 38,000 generative AI patents from 2014 to 2023, considerably surpassing the United States in patent applications. [58]

Modalities

A generative AI system is built by using without supervision maker knowing (conjuring up for example neural network architectures such as generative adversarial networks (GANs), variation autoencoders (VAEs), transformers, or self-supervised device learning trained on a dataset. The capabilities of a generative AI system depend upon the technique or kind of the information set utilized. Generative AI can be either unimodal or multimodal; unimodal systems take just one type of input, whereas multimodal systems can take more than one type of input. [59] For example, one version of OpenAI’s GPT-4 accepts both text and image inputs. [60]

Text

Generative AI systems trained on words or word tokens consist of GPT-3, GPT-4, GPT-4o, LaMDA, LLaMA, BLOOM, Gemini and others (see List of large language designs). They can natural language processing, machine translation, and natural language generation and can be used as foundation designs for other jobs. [62] Data sets consist of BookCorpus, Wikipedia, and others (see List of text corpora).

Code

In addition to natural language text, large language designs can be trained on programming language text, allowing them to generate source code for new computer system programs. [63] Examples include 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 Artificial intelligence art, Generative art, and Synthetic media). They are typically used for text-to-image generation and neural design transfer. [66] Datasets include LAION-5B and others (see List of datasets in computer system vision and image processing).

Audio

Generative AI can likewise be trained extensively on audio clips to produce natural-sounding speech synthesis and text-to-speech capabilities. An early pioneer in this field was 15. ai, released in March 2020, which demonstrated the ability to clone character voices using as little as 15 seconds of training information. [67] The website gained widespread attention for its ability 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 options subsequently emerged, including ElevenLabs’ context-aware synthesis tools and Meta Platform’s Voicebox. [71]

Generative AI systems such as MusicLM [72] and MusicGen [73] can also be trained on the audio waveforms of recorded music in addition to text annotations, in order to produce brand-new musical samples based on text descriptions such as a calming violin melody backed by a distorted guitar riff.

Music

Audio deepfakes of lyrics have been generated, like the tune Savages, which used AI to simulate 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 an argument about whether artists should get royalties from audio deepfakes. [74]

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

Video

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

Actions

Generative AI can likewise be trained on the motions of a robotic system to create brand-new trajectories for motion preparation or navigation. For example, UniPi from Google Research uses prompts like “select up blue bowl” or “clean plate with yellow sponge” to manage movements of a robotic arm. [78] Multimodal “vision-language-action” designs such as Google’s RT-2 can carry out simple reasoning in response to user prompts and visual input, such as picking up a toy dinosaur when given the timely choice up the extinct animal at a table filled with toy animals and other items. [79]

3D modeling

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

Software and hardware

Generative AI designs are used to power chatbot items such as ChatGPT, programming tools such as GitHub Copilot, [83] text-to-image items such as Midjourney, and text-to-video products such as Runway Gen-2. [84] Generative AI functions have actually been integrated into a range of existing commercially readily available products such as Microsoft Office (Microsoft Copilot), [85] Google Photos, [86] and the Adobe Suite (Adobe Firefly). [87] Many generative AI models are also readily 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 specifications can run on smart devices, ingrained gadgets, and individual computers. For instance, LLaMA-7B (a version with 7 billion criteria) can work on a Raspberry Pi 4 [89] and one version of Stable Diffusion can run on an iPhone 11. [90]

Larger designs with 10s of billions of parameters can run on laptop computer or desktop computer systems. To attain an appropriate speed, models of this size may 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 parameter version of LLaMA can be set up to operate on a desktop PC. [91]

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

Language designs with numerous billions of specifications, such as GPT-4 or PaLM, normally work on datacenter computer systems equipped with selections of GPUs (such as NVIDIA’s H100) or AI accelerator chips (such as Google’s TPU). These huge designs are typically accessed as cloud services online.

In 2022, the United States New Export Controls on Advanced Computing and Semiconductors to China enforced constraints 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 fulfill the requirements of the sanctions.

There is complimentary software on the market efficient in acknowledging text created by generative expert system (such as GPTZero), along with images, audio or video originating from it. [99] Potential mitigation methods for detecting generative AI content consist of digital watermarking, content authentication, details retrieval, and artificial intelligence classifier models. [100] Despite claims of precision, both free and paid AI text detectors have actually frequently produced incorrect positives, mistakenly implicating students of sending AI-generated work. [101] [102]

Law and guideline

In the United States, a group of business including OpenAI, Alphabet, and Meta signed a voluntary arrangement with the Biden administration in July 2023 to watermark AI-generated content. [103] In October 2023, Executive Order 14110 applied the Defense Production Act to require all US business to report information to the federal government when training certain high-impact AI designs. [104] [105]

In the European Union, the proposed Expert system Act consists of requirements to reveal copyrighted product utilized to train generative AI systems, and to 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 controls any public-facing generative AI. It includes requirements to watermark created images or videos, guidelines on training information and label quality, restrictions on individual data collection, and a standard that generative AI should “abide by socialist core worths”. [108] [109]

Copyright

Training with copyrighted material

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

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

Since 2024, numerous lawsuits related to 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 actually taken legal action against Microsoft and OpenAI over the use of their works to train ChatGPT. [114] [115]

Copyright of AI-generated material

A separate question is whether AI-generated works can get approved for copyright defense. The United States Copyright Office has actually ruled that works produced by expert system without any human input can not be copyrighted, due to the fact that they do not have human authorship. [116] However, the office has also begun taking public input to determine if these rules require to be fine-tuned for generative AI. [117]

Concerns

The development of generative AI has actually raised concerns from federal governments, companies, and individuals, leading to protests, legal actions, contacts us to pause AI experiments, and actions by numerous federal governments. In a July 2023 briefing of the United Nations Security Council, Secretary-General António Guterres mentioned “Generative AI has huge potential for good and evil at scale”, that AI might “turbocharge international advancement” and contribute between $10 and $15 trillion to the international economy by 2030, but that its harmful use “could trigger horrific levels of death and damage, prevalent injury, and deep psychological damage on an unimaginable scale”. [118]

Job losses

From the early days of the development of AI, there have actually been arguments advanced by ELIZA developer Joseph Weizenbaum and others about whether tasks that can be done by computer systems actually must be done by them, offered the distinction in between computers and human beings, and between quantitative estimations and qualitative, value-based judgements. [120] In April 2023, it was reported that image generation AI has actually resulted in 70% of the tasks for video game illustrators in China being lost. [121] [122] In July 2023, advancements in generative AI added to the 2023 Hollywood labor conflicts. Fran Drescher, president of the Screen Actors Guild, stated that “synthetic intelligence presents an existential threat to creative professions” during the 2023 SAG-AFTRA strike. [123] Voice generation AI has been seen as a possible difficulty to the voice acting sector. [124] [125]

The intersection of AI and work issues among underrepresented groups globally stays a crucial aspect. While AI assures performance improvements and ability acquisition, concerns about job displacement and prejudiced recruiting processes continue among these groups, as laid out in studies by Fast Company. To utilize AI for a more fair society, proactive steps encompass mitigating biases, advocating openness, appreciating privacy and consent, and welcoming varied teams and ethical factors to consider. Strategies involve redirecting policy emphasis on regulation, inclusive style, and education’s potential for personalized mentor to optimize advantages while lessening damages. [126]

Racial and gender bias

Generative AI designs can show and magnify 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 information. [127] Similarly, an image design prompted with the text “an image of a CEO” may disproportionately generate pictures of white male CEOs, [128] if trained on a racially biased information set. A variety of approaches for mitigating bias have actually been attempted, such as changing input triggers [129] and reweighting training data. [130]

Deepfakes

Deepfakes (a portmanteau of “deep learning” and “fake” [131] are AI-generated media that take an individual in an existing image or video and change them with somebody else’s similarity utilizing synthetic neural networks. [132] Deepfakes have garnered widespread attention and concerns for their uses in deepfake star adult videos, revenge porn, fake news, hoaxes, health disinformation, monetary scams, and hidden foreign election disturbance. [133] [134] [135] [136] [137] [138] [139] This has actually generated reactions from both market and government to find and restrict their use. [140] [141]

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

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

Audio deepfakes

Instances of users abusing software application to produce controversial statements in the singing style of stars, public authorities, and other famous individuals have raised ethical concerns over voice generation AI. [145] [146] [147] [148] [149] [150] In action, companies such as ElevenLabs have mentioned that they would deal with mitigating possible abuse through safeguards and identity verification. [151]

Concerns and fandoms have generated from AI-generated music. The same software used to clone voices has actually been used on famous artists’ voices to develop songs that simulate their voices, getting both incredible popularity and criticism. [152] [153] [154] Similar techniques have also been utilized to produce improved quality or full-length variations of songs that have actually been leaked or have yet to be launched. [155]

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

Cybercrime

Generative AI’s capability to develop practical fake material has actually been made use of in many types of cybercrime, consisting of phishing rip-offs. [158] Deepfake video and audio have been utilized to develop disinformation and scams. In 2020, former Google click scams czar Shuman Ghosemajumder argued that once deepfake videos end up being completely realistic, they would stop appearing exceptional to viewers, potentially resulting in uncritical acceptance of incorrect details. [159] Additionally, large language models and other types of text-generation AI have been utilized to develop phony evaluations of e-commerce sites to improve scores. [160] Cybercriminals have actually produced big language designs concentrated on scams, including WormGPT and FraudGPT. [161]

A 2023 research study showed that generative AI can be vulnerable to jailbreaks, reverse psychology and timely injection attacks, enabling aggressors to acquire aid with damaging requests, such as for crafting social engineering and phishing attacks. [162] Additionally, other researchers have actually shown that open-source designs can be fine-tuned to eliminate their safety limitations at low cost. [163]

Reliance on industry giants

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

Energy and environment

Scientists and journalists have expressed issues about the ecological effect that the advancement and release of generative models are having: high CO2 emissions, [165] [166] [167] big quantities of freshwater used for information centers, [168] [169] and high amounts of electricity use. [170] [166] [171] There is also issue that these effects may increase as these designs are incorporated into widely utilized search engines such as Google Search and Bing; [170] as chatbots and other applications end up being more popular; [170] [169] and as designs need to be re-trained. [170]

Proposed mitigation methods include factoring potential environmental costs prior to model development or information collection, [165] increasing performance of information centers to lower electricity/energy usage, [168] [170] [166] [169] [171] [167] constructing more efficient device finding out models, [168] [166] [169] minimizing the variety of times that models require to be retrained, [167] establishing a government-directed structure for auditing the ecological effect of these models, [168] [167] controling for transparency of these models, [167] regulating their energy and water use, [168] encouraging scientists to publish data on their models’ carbon footprint, [170] [167] and increasing the number of subject experts who understand both maker learning and environment science. [167]

Content quality

The New York Times defines slop as analogous to spam: “substandard or undesirable A.I. content in social networks, art, books and … in search engine result.” [172] Journalists have expressed issues about the scale of low-grade generated material with regard to social media content small amounts, [173] the monetary incentives from social media companies to spread out such content, [173] [174] incorrect political messaging, [174] spamming of scientific research study paper submissions, [175] increased time and effort to find higher quality or preferred content on the Internet, [176] the indexing of created material by search engines, [177] and on journalism itself. [178]

A paper published 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 photo of web pages, were device equated. A number of these automated translations were viewed as lower quality, specifically for sentences that were translated throughout a minimum of three languages. Many lower-resource languages (ex. Wolof, Xhosa) were translated across more languages than higher-resource languages (ex. English, French). [179] [180]

In September 2024, Robyn Speer, the author of wordfreq, an open source database that calculated word frequencies based on text from the Internet, announced that she had actually stopped updating the information for several factors: high expenses for getting data from Reddit and Twitter, excessive focus on generative AI compared to other techniques in the natural language processing neighborhood, and that “generative AI has polluted the data”. [181]

The adoption of generative AI tools caused a surge of AI-generated content throughout numerous domains. A study from University College London approximated that in 2023, more than 60,000 academic articles-over 1% of all publications-were most likely composed with LLM help. [182] According to Stanford University’s Institute for Human-Centered AI, around 17.5% of newly published computer technology documents and 16.9% of peer evaluation text now integrate content created by LLMs. [183]

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

If AI-generated content is included in new information crawls from the Internet for extra training of AI designs, flaws in the resulting designs might take place. [185] Training an AI model solely on the output of another AI model produces a lower-quality design. Repeating this process, where each new model is trained on the previous model’s output, results in progressive degradation and ultimately results in a “model collapse” after multiple iterations. [186] Tests have actually been carried out with pattern recognition of handwritten letters and with images of human faces. [187] As an effect, the worth of information gathered from real human interactions with systems may end up being progressively important in the existence of LLM-generated content in information crawled from the Internet.

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

Misuse in journalism

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

In April 2023, the German tabloid Die Aktuelle released a phony AI-generated interview with previous racing driver Michael Schumacher, who had not made any public looks considering that 2013 after sustaining a brain injury in a skiing 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 shortly thereafter in the middle of the debate. [192]

Other outlets that have actually published articles whose material and/or byline have actually been confirmed or presumed to be created by generative AI designs – frequently with incorrect material, errors, and/or non-disclosure of generative AI usage – consist of:

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

In May 2024, Futurism noted that a content management system video by AdVon Commerce, who had used generative AI to produce short articles for numerous of the abovementioned outlets, appeared to show that they “had actually produced tens of thousands of short articles for more than 150 publishers.” [201]

News broadcasters in Kuwait, Greece, South Korea, India, China and Taiwan have presented news with anchors based on Generative AI designs, triggering concerns about task losses for human anchors and audience trust in news that has historically been influenced by parasocial relationships with broadcasters, material developers or social media influencers. [220] [221] [222] Algorithmically created anchors have also been utilized by allies of ISIS for their broadcasts. [223]

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

In February 2024, Google launched a program to pay small publishers to compose 3 short articles each day utilizing a beta generative AI design. The program does not need the knowledge or authorization of the sites that the publishers are using as sources, nor does it require the released posts to be identified as being produced or assisted by these designs. [225]

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

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

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

In action to potential pitfalls around the usage and misuse 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 uneasy with news produced by “primarily 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 “primarily human with some aid from AI”. The outcomes of global studies reported that people were more uncomfortable with news topics including politics (46%), criminal activity (43%), and local news (37%) produced by AI than other news subjects. [241]

Computer shows portal

Technology website

Artificial general intelligence – Kind of AI with comprehensive capabilities
Artificial creativity – Artificial simulation of human creativity
Expert system art – Visual media created with AI
Artificial life – Field of study
Chatbot – Program that imitates discussion
Computational imagination – Multidisciplinary endeavour
Generative adversarial network – Deep learning method
Generative pre-trained transformer – Type of large language design
Large language design – Kind of artificial intelligence design
Music and expert system – Usage of expert system to produce music
Generative AI pornography – Explicit material produced by generative AI
Procedural generation – Method in which information is developed algorithmically instead of by hand
Retrieval-augmented generation – Kind of information retrieval using LLMs
Stochastic parrot – Term utilized in maker 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). “Expert System Glossary: Neural Networks and Other Terms Explained”. The New York City Times. ISSN 0362-4331. Archived from the original on September 1, 2023. Retrieved April 22, 2023.
^ Karpathy, Andrej; Abbeel, Pieter; Brockman, Greg; Chen, Peter; Cheung, Vicki; Duan, Yan; Goodfellow, Ian; Kingma, Durk; Ho, Jonathan; Rein Houthooft; Tim Salimans; John Schulman; Ilya Sutskever; Wojciech Zaremba (June 16, 2016). “Generative models”. OpenAI. Archived from the original on November 17, 2023. Retrieved March 15, 2023.
^ a b Griffith, Erin; Metz, Cade (January 27, 2023). “Anthropic Said to Be Closing In on $300 Million in New A.I. Funding”. The New York City Times. Archived from the initial on December 9, 2023. Retrieved March 14, 2023.
^ Lanxon, Nate; Bass, Dina; Davalos, Jackie (March 10, 2023). “A Cheat Sheet to AI Buzzwords and Their Meanings”. Bloomberg News. Archived from the initial on November 17, 2023. Retrieved March 14, 2023.
^ Metz, Cade (March 14, 2023). “OpenAI Plans to Up the Ante in Tech’s A.I. Race”. The New York Times. ISSN 0362-4331. Archived from the initial on March 31, 2023. Retrieved March 31, 2023.
^ Thoppilan, Romal; De Freitas, Daniel; Hall, Jamie; Shazeer, Noam; Kulshreshtha, Apoorv (January 20, 2022). “LaMDA: Language Models for Dialog Applications”. arXiv:2201.08239 [cs.CL]
^ Roose, Kevin (October 21, 2022). “A Coming-Out Party for Generative A.I., Silicon Valley’s New Craze”. The New York 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 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, organizations, and governments”. Archived from the original on November 17, 2023. Retrieved March 15, 2023.
^ Brynjolfsson, Erik; Li, Danielle; Raymond, Lindsey R. (April 2023), Generative AI at Work (Working Paper), Working Paper Series, doi:10.3386/ w31161, archived from the original on March 28, 2024, recovered January 21, 2024
^ “Don’t fear an AI-induced tasks apocalypse right now”. The Economist. March 6, 2023. Archived from the original on November 17, 2023. Retrieved March 14, 2023.
^ Coyle, Jake (September 27, 2023). “In Hollywood writers’ fight against AI, people win (in the meantime)”. AP News. Associated Press. Archived from the original on April 3, 2024. Retrieved January 26, 2024.
^ Harreis, H.; Koullias, T.; Roberts, Roger. “Generative AI: Unlocking the future of style”. Archived from the initial on November 17, 2023. Retrieved March 14, 2023.
^ “How Generative AI Can Augment Human Creativity”. Harvard Business Review. June 16, 2023. ISSN 0017-8012. Archived from the initial on June 20, 2023. Retrieved June 20, 2023.
^ Hendrix, Justin (May 16, 2023). “Transcript: Senate Judiciary Subcommittee Hearing on Oversight of AI“. techpolicy.press. Archived from the original 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 initial 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”. Artificial intelligence. 32 (1 ): 41-62. doi:10.1023/ A:1007469218079. ISSN 1573-0565. S2CID 3465810.
^ Crevier, Daniel (1993 ). AI: The Tumultuous Search for Artificial Intelligence. New York City, New York City: BasicBooks. p. 109. ISBN 0-465-02997-3.
^ Bergen, Nathan; Huang, Angela (2023 ). “A Short History of Generative AI” (PDF). Dichotomies: Generative AI: Navigating Towards a Better Future (2 ): 4. Archived (PDF) from the initial on August 10, 2023. Retrieved August 8, 2023.
^ a b Alting, Leo; Zhang, Hongchao (1989 ). “Computer aided procedure planning: the cutting edge survey”. The International Journal of Production Research. 27 (4 ): 553-585. doi:10.1080/ 00207548908942569. Archived from the original on May 7, 2024. Retrieved October 3, 2023.
^ Chien, Steve (1998 ). “Automated planning and scheduling for goal-based self-governing spacecraft”. IEEE Intelligent Systems and Their Applications. 13 (5 ): 50-55. doi:10.1109/ 5254.722362.
^ Burstein, Mark H., ed. (1994 ). ARPA/Rome Laboratory Knowledge-based Planning and Scheduling Initiative Workshop Proceedings. The Advanced Research Projects Agency, Department of Defense, and Rome Laboratory, US Air Force, Griffiss AFB. p. 219. ISBN 155860345X.
^ Pell, Barney; Bernard, Douglas E.; Chien, Steve A.; Gat, Erann; Muscettola, Nicola; Nayak, P. Pandurang; Wagner, Michael D.; Williams, Brian C. (1998 ). Bekey, George A. (ed.). A Self-governing Spacecraft Agent Prototype. Autonomous Robots Volume 5, No. 1. pp. 29-45. Our deliberator is a traditional generative AI organizer based on the HSTS planning framework (Muscettola, 1994), and our control component is a conventional spacecraft mindset control system (Hackney et al. 1993). We likewise add an architectural part clearly devoted to world modeling (the mode identifier), and compare control and tracking.
^ 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 Detailed Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT”. arXiv:2303.04226 [cs.AI]
^ “finetune-transformer-lm”. GitHub. Archived from the initial on May 19, 2023. Retrieved May 19, 2023.
^ Radford, Alec; Wu, Jeffrey; Child, Rewon; Luan, David; Amodei, Dario; Sutskever, Ilya (2019 ). “Language designs are without supervision multitask learners” (PDF). OpenAI Blog.
^ Radford, Alec (June 11, 2018). “Improving language comprehending with not being watched knowing”. OpenAI. Retrieved October 6, 2024.
^ Chandraseta, Rionaldi (January 21, 2021). “Generate Your Favourite Characters’ Voice Lines utilizing Artificial intelligence”. Towards Data Science. Retrieved December 18, 2024.
^ Temitope, Yusuf (December 10, 2024). “15. ai Creator reveals journey from MIT Project to internet phenomenon”. The Guardian. Archived from the initial on December 28, 2024. Retrieved December 25, 2024.
^ Anirudh VK (March 18, 2023). “Deepfakes Are Elevating Meme Culture, But At What Cost?”. Analytics India Magazine. Archived from the initial on December 26, 2024. Retrieved December 18, 2024. While AI voice memes have been around in some type since ’15. ai’ released in 2020, […] ^ Coldewey, Devin (January 5, 2021). “OpenAI’s DALL-E creates plausible 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 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) Artificial Intelligence 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 initial on December 6, 2023. Retrieved December 6, 2023.
^ Edwards, Benj (December 6, 2023). “Google introduces Gemini-a powerful AI model it states can surpass 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 unveils Claude 3, surpassing GPT-4 and Gemini Ultra in benchmark tests”. Venture Beat. Retrieved April 9, 2024.
^ Pierce, David (June 20, 2024). “Anthropic has a quick brand-new AI model – and a smart brand-new method to engage with chatbots”. The Verge. Retrieved June 22, 2024.
^ Baptista, Eduardo (July 9, 2024). “China leads the world in adoption of generative AI, study programs”. Reuters. Retrieved July 14, 2024.
^ “A History of Generative AI: From GAN to GPT-4”. March 21, 2023. Archived from the initial on June 10, 2023. Retrieved April 28, 2023.
^ “Explainer: What is Generative AI, the 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 Live.'”. The New York Times. Archived from the original on April 15, 2023. Retrieved January 30, 2024.
^ Bommasani, R.; Hudson, D. A.; Adeli, E.; Altman, R.; Arora, S.; von Arx, S.; Bernstein, M. S.; Bohg, J.; Bosselut, A; Brunskill, E.; Brynjolfsson, E. (August 16, 2021). “On the chances and dangers of structure 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]
^ “Buying Cursor”. Andreesen Horowitz.
^ Epstein, Ziv; Hertzmann, Aaron; Akten, Memo; Farid, Hany; Fjeld, Jessica; Frank, Morgan R. ; Groh, Matthew; Herman, Laura; Leach, Neil; Mahari, Robert; Pentland, Alex “Sandy”; Russakovsky, Olga; Schroeder, Hope; Smith, Amy (2023 ). “Art and the science of generative AI”. Science. 380 (6650 ): 1110-1111. arXiv:2306.04141. Bibcode:2023 Sci … 380.1110 E. doi:10.1126/ science.adh4451. PMID 37319193. S2CID 259095707.
^ Ramesh, Aditya; Pavlov, Mikhail; Goh, Gabriel; Gray, Scott; Voss, Chelsea; Radford, Alec; Chen, Mark; Sutskever, Ilya (2021 ). “Zero-shot text-to-image generation”. International Conference on 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 initial on January 21, 2021. Retrieved December 18, 2024.
^ Temitope, Yusuf (December 10, 2024). “15. ai Creator exposes journey from MIT Project to internet phenomenon”. The Guardian. Archived from the original on December 28, 2024. Retrieved December 25, 2024.
^ Ruppert, Liana (January 18, 2021). “Make Portal’s GLaDOS And Other Beloved Characters Say The Weirdest Things With This App”. Game Informer. Archived from the initial on January 18, 2021. Retrieved December 18, 2024.
^ Kurosawa, Yuki (January 19, 2021). “ゲームキャラ音声読み上げソフト 15. ai 公開中 。 Undertale や Portal のキャラに好きなセリフを言ってもらえる” [Game Character Voice Reading Software “15. ai” Now Available. Get Characters from Undertale and Portal to Say Your Desired Lines] AUTOMATON (in Japanese). Archived from the 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 only English voices are available.; Another significant feature of 15. ai is its rich emotional expression.] ^ Desai, Saahil (July 17, 2023). “A Voicebot Just Left Me Speechless”. The Atlantic. Archived from the 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 said that it utilized 20,000 hours of certified music to train MusicGen, that included 10,000 “top quality” certified music tracks. At the time, Meta’s researchers described in a paper the ethical difficulties that they experienced around the advancement of generative AI designs like MusicGen”. Archived from the original on August 15, 2023.
^ “Jay-Z’s Delaware manufacturer triggers argument over AI rights”. Archived from the initial on February 27, 2024. Retrieved February 27, 2024.
^ “10 “Best” AI Music Generators (April 2024) – Unite.AI”. October 19, 2022. Archived from the original on January 29, 2024. Retrieved February 27, 2024.
^ Metz, Cade (April 4, 2023). “Instant Videos Could Represent the Next Leap in A.I. Technology”. The New York Times. Archived from the initial on April 5, 2023. Retrieved April 5, 2023.
^ Wong, Queenie (September 29, 2022). “Facebook Parent Meta’s AI Tool Can Create Artsy Videos From Text”. cnet.com. Archived from the initial on April 5, 2023. Retrieved April 4, 2023.
^ Yang, Sherry; Du, Yilun (April 12, 2023). “UniPi: Learning universal policies by means of text-guided video generation”. Google Research, Brain Team. Google AI Blog. Archived from the initial on May 24, 2023.
^ Brohan, Anthony (2023 ). “RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control”. arXiv:2307.15818 [cs.RO]
^ Abdullahi, Aminu (November 17, 2023). “10 Best Artificial Intelligence (AI) 3D Generators”. eWEEK. Archived from the initial on May 7, 2024. Retrieved February 6, 2024.
^ “Slash CAD design build times with new AI-driven part creation method|GlobalSpec”. Archived from the initial on January 23, 2024. Retrieved February 6, 2024.
^ “The Role of Artificial Intelligence (AI) in the CAD Industry”. March 22, 2023. Archived from the original on February 9, 2024. Retrieved February 6, 2024.
^ Sabin, Sam (June 30, 2023). “GitHub has a vision to make code more safe by style”. Axios Codebook. Archived from the original on August 15, 2023. Retrieved August 15, 2023.
^ Vincent, James (March 20, 2023). “Text-to-video AI inches closer as start-up Runway announces brand-new model”. The Verge. Archived from the initial on September 27, 2023. Retrieved August 15, 2023. Text-to-video is the next frontier for generative AI, though present output is primary. Runway says it’ll be making its brand-new generative video model, Gen-2, available to users in ‘the coming weeks.’
^ Vanian, Jonathan (March 16, 2023). “Microsoft includes OpenAI innovation to Word and Excel”. CNBC. Archived from the original on August 15, 2023. Retrieved August 15, 2023. Microsoft is bringing generative synthetic intelligence technologies such as the popular ChatGPT chatting app to its Microsoft 365 suite of organization software application … the new A.I. features, dubbed Copilot, will be offered in a few of the company’s most popular service apps, including Word, PowerPoint and Excel.
^ Wilson, Mark (August 15, 2023). “The app’s Memories function just got a huge upgrade”. TechRadar. Archived from the original on August 15, 2023. The Google Photos app is getting an upgraded, AI-powered Memories function … you’ll be able to use generative AI to come up with some recommended names like “a desert experience”.
^ Sullivan, Laurie (May 23, 2023). “Adobe Adds Generative AI To Photoshop”. MediaPost. Archived from the original on August 15, 2023. Retrieved August 15, 2023. Generative artificial intelligence (AI) will turn into one of the most important functions for imaginative designers and 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 use Meta’s versatile open-source chatbot right now”. VentureBeat. Archived from the initial on November 3, 2023. Retrieved August 15, 2023. If you wish to run LLaMA 2 by yourself maker 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 produce 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 generated locally, so you do not need 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 at home, you will need a computer construct with an effective GPU that can manage the big amount of information and calculation required for inferencing.
^ Westover, Brian (September 28, 2023). “Who Needs ChatGPT? How to Run Your Own Free and Private AI Chatbot”. Ziff Davis. Archived from the original on January 7, 2024. Retrieved January 7, 2024.
^ @karpathy (December 20, 2023). “I basically only trust 2 LLM evals today” (Tweet) – through 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 * security and security” (Tweet) – by means of Twitter.
^ Nellis, Stephen; Lee, Jane (September 1, 2022). “U.S. authorities order Nvidia to stop sales of top AI chips to China”. Reuters. Archived from the original on August 15, 2023. Retrieved August 15, 2023.
^ Shilov, Anton (May 7, 2023). “Nvidia’s Chinese A800 GPU’s Performance Revealed”. Tom’s Hardware. Archived from the original on May 7, 2024. Retrieved August 15, 2023. the A800 operates at 70% of the speed of A100 GPUs while adhering to rigorous U.S. export requirements that restrict just how much processing power Nvidia can sell.
^ Patel, Dylan (October 24, 2022). “How China’s Biren Is Attempting To Evade US Sanctions”. Archived from the initial on August 15, 2023. Retrieved August 15, 2023.
^ “5 free software to recognise phony AI-generated images” (in Italian). October 28, 2023. Archived from the original 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 evaluated a brand-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 impossible. That’s a huge issue for instructors”. washingtonpost.com. Archived from the original on June 3, 2023. Retrieved February 6, 2024.
^ Bartz, Diane; Hu, Krystal (July 21, 2023). “OpenAI, Google, others promise to watermark AI material for security, White House states”. Reuters. Archived from the 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 original on February 17, 2024. Retrieved February 17, 2024.
^ “EU AI Act: first policy on artificial intelligence”. European Parliament. August 6, 2023. Retrieved September 13, 2024.
^ Chee, Foo Yun; Mukherjee, Supantha (June 14, 2023). “EU legislators vote for tougher AI rules as draft relocations to last”. Reuters. Archived from the original on July 27, 2023. Retrieved July 26, 2023.
^ Ye, Josh (July 13, 2023). “China states generative AI guidelines to use just to products for the general 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 City 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 original on December 27, 2023. Retrieved April 13, 2023.
^ O’Brien, Matt (September 25, 2023). “Photo huge Getty took a leading AI image-maker to court. Now it’s also embracing the innovation”. AP NEWS. Associated Press. Archived from the original on January 30, 2024. Retrieved January 30, 2024.
^ Barber, Gregory (December 9, 2023). “The Generative AI Copyright Fight Is Just Getting Going”. Wired. Archived from the original on January 19, 2024. Retrieved January 19, 2024.
^ Bruell, Alexandra (December 27, 2023). “New York City Times Sues Microsoft and OpenAI, Alleging Copyright Infringement”. Wall Street Journal. Archived from the initial on January 18, 2024. Retrieved January 19, 2024.
^ Brittain, Blake (August 21, 2023). “AI-generated art can not receive copyrights, US court says”. Reuters. Archived from the original on January 20, 2024. Retrieved January 19, 2024.
^ David, Emilla (August 29, 2023). “US Copyright Office wants 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 initial on July 28, 2023. Retrieved July 27, 2023.
^ “The Writers Strike Is Taking a Stand on AI”. Time. May 4, 2023. Archived from the initial on June 11, 2023. Retrieved June 11, 2023.
^ Tarnoff, Ben (August 4, 2023). “Lessons from Eliza”. The Guardian Weekly. pp. 34-39.
^ Zhou, Viola (April 11, 2023). “AI is currently taking video game illustrators’ tasks in China”. Rest of World. Archived from the initial on August 13, 2023. Retrieved August 17, 2023.
^ Carter, Justin (April 11, 2023). “China’s game art industry 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 sophisticated tech”. NBC News. Archived from the original on July 20, 2023. Retrieved July 21, 2023. SAG-AFTRA has joined the Writer’s [sic] Guild of America in requiring an agreement that explicitly demands AI guidelines to protect authors and the works they produce. … The future of generative artificial intelligence in Hollywood-and how it can be used to replace 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 frequently referred to as SAG-AFTRA), declared that ‘expert system postures an existential risk to innovative occupations, and all actors and performers should have agreement language that protects them from having their identity and talent exploited without authorization and pay.’
^ Wiggers, Kyle (August 22, 2023). “ElevenLabs’ voice-generating tools release out of beta”. TechCrunch. Archived from the original on November 28, 2023. Retrieved September 25, 2023.
^ Shrivastava, Rashi. “‘Keep Your Paws Off My Voice’: Voice Actors Worry Generative AI Will Steal Their Livelihoods”. Forbes. Archived from the original on December 2, 2023. Retrieved November 28, 2023.
^ Gupta, Shalene (October 31, 2023). “Underrepresented groups in countries around the globe are stressed over AI being a hazard to tasks”. Fast Company. Archived from the original on December 8, 2023. Retrieved December 8, 2023.
^ Rachel Gordon (March 3, 2023). “Large language designs are prejudiced. 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 predisposition and enhancing safety in DALL · E 2”. OpenAI. Archived from the original on January 26, 2024. Retrieved January 26, 2024.
^ Jake Traylor (July 27, 2022). “No fast 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 initial on January 26, 2024. Retrieved January 26, 2024.
^ Brandon, John (February 16, 2018). “Terrifying state-of-the-art pornography: Creepy ‘deepfake’ videos are on the rise”. Fox News. Archived from the original on June 15, 2018. Retrieved February 20, 2018.
^ Cole, Samantha (January 24, 2018). “We Are Truly Fucked: Everyone Is Making AI-Generated Fake Porn Now”. Vice. Archived from the initial on September 7, 2019. Retrieved May 4, 2019.
^ “What Are Deepfakes & Why the Future of Porn is Terrifying”. Highsnobiety. February 20, 2018. Archived from the initial on July 14, 2021. Retrieved February 20, 2018.
^ “Experts fear face swapping tech might start a worldwide showdown”. The Outline. Archived from the initial on January 16, 2020. Retrieved February 28, 2018.
^ Roose, Kevin (March 4, 2018). “Here Come the Fake Videos, Too”. The New York City Times. ISSN 0362-4331. Archived from the initial on June 18, 2019. Retrieved March 24, 2018.
^ Schreyer, Marco; Sattarov, Timur; Reimer, Bernd; Borth, Damian (2019 ). “Adversarial Learning of Deepfakes in Accounting”. arXiv:1910.03810 [cs.LG]
^ Menz, Bradley (2024 ). “Health Disinformation Use Case Highlighting the Urgent Need for Artificial Intelligence Vigilance”. JAMA Internal Medicine. 184 (1 ): 92-96. doi:10.1001/ jamainternmed.2023.5947. PMID 37955873. S2CID 265148637. Archived from the 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 boost anti-U.S. influence campaigns, authorities state”. The Washington Post. ISSN 0190-8286. Archived from the original on September 24, 2024. Retrieved September 23, 2024.
^ “Join the Deepfake Detection Challenge (DFDC)”. deepfakedetectionchallenge.ai. Archived from the 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 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 challenges of generative innovations: Proposing the combination of artificial intelligence and blockchain”. Business Horizons. 67 (5 ): 525-535. doi:10.1016/ j.bushor.2024.04.011. ISSN 0007-6813.
^ “People Are Still Terrible: AI Voice-Cloning Tool Misused for Deepfake Celeb Clips”. PCMag Middle East. January 31, 2023. Archived from the initial on December 25, 2023. Retrieved July 25, 2023.
^ “The generative A.I. software application race has 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 threat from AI-driven disinformation, say professionals”. The Guardian. ISSN 0261-3077. Archived from the initial on November 16, 2023. Retrieved July 25, 2023.
^ “Seeing is believing? Global scramble to tackle deepfakes”. news.yahoo.com. Archived from the original on February 3, 2023. Retrieved February 3, 2023.
^ Vincent, James (January 31, 2023). “4chan users welcome AI voice clone tool to generate celebrity hatespeech”. The Verge. Archived from the initial on December 3, 2023. Retrieved February 3, 2023.
^ Thompson, Stuart A. (March 12, 2023). “Making Deepfakes Gets Cheaper and Easier Thanks to A.I.” The New York Times. ISSN 0362-4331. Archived from the initial on October 29, 2023. Retrieved July 25, 2023.
^ “A new AI voice tool is currently being abused to make deepfake celeb audio clips”. Engadget. January 31, 2023. Archived from the original on October 10, 2023. Retrieved February 3, 2023.
^ Gee, Andre (April 20, 2023). “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 Expert System to Turn Rap Snippets Into Full Songs”. Complex. Archived from the original on January 2, 2024. Retrieved December 6, 2023.
^ Marr, Bernard. “Virtual Influencer Noonoouri Lands Record Deal: Is She The Future Of Music?”. Forbes. Archived from the original on December 4, 2023. Retrieved December 6, 2023.
^ Thaler, Shannon (September 8, 2023). “Warner Music indications first-ever record 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: Prepare for phishing 2.0”. Fast Company. Archived from the original on July 31, 2023. Retrieved July 31, 2023.
^ Sonnemaker, Tyler. “As social media platforms brace for the inbound wave of deepfakes, Google’s former ‘scams czar’ forecasts the biggest danger is that deepfakes will ultimately end up being uninteresting”. Business Insider. Archived from the original on April 14, 2021. Retrieved July 31, 2023.
^ Collinson, Patrick (July 15, 2023). “Fake reviews: can we trust what we read online as usage of AI explodes?”. 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 initial on July 31, 2023. Retrieved July 31, 2023.
^ Gupta, Maanak; Akiri, Charankumar; Aryal, Kshitiz; Parker, Eli; Praharaj, Lopamudra (2023 ). “From ChatGPT to ThreatGPT: Impact of Generative AI in Cybersecurity and Privacy”. IEEE Access. 11: 80218-80245. arXiv:2307.00691. Bibcode:2023 IEEEA..1180218 G. doi:10.1109/ ACCESS.2023.3300381. S2CID 259316122.
^ Piper, Kelsey (February 2, 2024). “Should we make our most powerful AI designs open source to all?”. Vox. Retrieved January 13, 2025.
^ Metz, Cade (July 10, 2023). “In the Age of A.I., Tech’s Little Guys Need Big Friends”. New York City Times.
^ a b Bender, Emily M.; Gebru, Timnit; McMillan-Major, Angelina; Shmitchell, Shmargaret (March 1, 2021). “On the Dangers of Stochastic Parrots: Can Language Models be Too Big?”. Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency. FAccT ’21. New York City, NY, USA: Association for Computing Machinery. pp. 610-623. doi:10.1145/ 3442188.3445922. ISBN 978-1-4503-8309-7.
^ a b c d “AI is an energy hog. This is what it means for environment modification”. MIT Technology Review. May 23, 2024. Archived from the initial on August 20, 2024. Retrieved August 27, 2024.
^ a b c d e f g Dhar, Payal (August 1, 2020). “The carbon effect of artificial intelligence”. Nature Machine Intelligence. 2 (8 ): 423-425. doi:10.1038/ s42256-020-0219-9. ISSN 2522-5839. Archived from the initial on August 14, 2024.
^ a b c d e Crawford, Kate (February 20, 2024). “Generative AI’s environmental expenses are soaring – and primarily secret”. Nature. 626 (8000 ): 693. Bibcode:2024 Natur.626..693 C. doi:10.1038/ d41586-024-00478-x. PMID 38378831. Archived from the initial on August 22, 2024.
^ a b c d Rogers, Reece. “AI’s Energy Demands Are Out of Control. Welcome to the Internet’s Hyper-Consumption Era”. Wired. ISSN 1059-1028. Archived from the initial on August 14, 2024. Retrieved August 27, 2024.
^ a b c d e f Saenko, Kate (May 23, 2023). “Is generative AI bad for the environment? A computer scientist 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 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 original on August 25, 2024. Retrieved August 27, 2024.
^ Edwards, Benj (August 14, 2024). “Research AI design unexpectedly 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 most current wave of AI behind the ‘zombie internet'”. The Guardian. ISSN 0261-3077. Archived from the original on August 26, 2024. Retrieved August 27, 2024.
^ Cox, Joseph (January 18, 2024). “Google News Is Boosting Garbage AI-Generated Articles”. 404 Media. Archived from the original on June 13, 2024. Retrieved August 27, 2024.
^ “Beloved Local Newspapers Fired Staffers, Then Started Running AI Slop”. Futurism. July 31, 2024. Archived from the initial on August 12, 2024. Retrieved August 27, 2024.
^ Thompson, Brian; Dhaliwal, Mehak; Frisch, Peter; Domhan, Tobias; Federico, Marcello (August 2024). Ku, Lun-Wei; Martins, Andre; Srikumar, Vivek (eds.). “A Shocking Amount of the Web is Machine Translated: Insights from Multi-Way Parallelism”. Findings of the Association for Computational Linguistics ACL 2024. Bangkok, Thailand and virtual meeting: Association for Computational Linguistics: 1763-1775. arXiv:2401.05749. doi:10.18653/ v1/2024. findings-acl.103.
^ Roscoe, Jules (January 17, 2024). “A ‘Shocking’ Amount of the Web Is Already AI-Translated Trash, Scientists Determine”. VICE. Archived from the initial on July 1, 2024. Retrieved August 27, 2024.
^ Koebler, Jason (September 19, 2024). “Project Analyzing Human Language Usage Shuts Down Because ‘Generative AI Has Polluted the Data'”. 404 Media. Archived from the initial on September 19, 2024. Retrieved September 20, 2024. While there has always been spam on the internet and in the datasets that Wordfreq utilized, “it was workable and frequently recognizable. Large language models produce text that masquerades as real language with objective behind it, even though there is none, and their output emerge all over,” she composed. She provides the example that ChatGPT excessive uses the word “dive,” in a manner that people do not, which has shaken off the frequency of this particular word.
^ Gray, Andrew (March 24, 2024). “ChatGPT “contamination”: estimating the prevalence of LLMs in the scholarly 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: Just How Much Content Was Created by AI”. Everypixel Journal. Retrieved August 16, 2024.
^ Shumailov, Ilia; Shumaylov, Zakhar; Zhao, Yiren; Papernot, Nicolas; Anderson, Ross; Gal, Yarin (July 2024). “AI designs collapse when trained on recursively generated 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 Threat to A.I. Itself”. The New York City Times. ISSN 0362-4331. Retrieved August 27, 2024.
^ “Self-Consuming Generative Models Go Mad”. ICLR. 2024.
^ Owen, Sean (April 12, 2023). “Synthetic Data for Better Machine Learning”. databricks.com. Archived from the original on January 3, 2024. Retrieved January 4, 2024.
^ Sharma, Himanshu (July 11, 2023). “Synthetic Data Platforms: Unlocking the Power of Generative AI for Structured Data”. kdnuggets.com. Archived from the original on January 3, 2024. Retrieved January 4, 2024.
^ Stöckl, Andreas (November 2, 2022). “Evaluating an Artificial Image Dataset Generated with Stable Diffusion”. arXiv:2211.01777 [cs.CV]
^ Roth, Emma (January 25, 2023). “CNET found errors in more than half of its AI-written stories”. The Verge. Archived from the original on November 6, 2023. Retrieved June 17, 2023.
^ “A magazine touted 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 initial on January 5, 2024. Retrieved January 8, 2024.
^ “NewsBreak: Most downloaded US news app has Chinese roots and ‘writes fiction’ utilizing AI”. Reuters. June 5, 2024. Archived from the original on June 6, 2024. Retrieved June 7, 2024.
^ a b Harrison, Maggie (November 27, 2023). “Sports Illustrated Published Articles by Fake, AI-Generated Writers”. Futurism. Archived from the original on December 15, 2023. Retrieved January 8, 2024.
^ Christian, Jon (February 9, 2023). “Magazine Publishes Serious Errors in First AI-Generated Health Article”. Futurism. Archived from the initial on December 26, 2023. Retrieved January 8, 2024.
^ Schneider, Jaron (December 14, 2023). “B&H Photo Published an AI-Generated Guide Written by a Fake Person”. PetaPixel. Archived from the original on January 4, 2024. Retrieved January 8, 2024.
^ Harrison, Maggie (August 29, 2023). “USA Today Owner Pauses AI Articles After Butchering Sports Coverage”. Futurism. Archived from the initial on January 4, 2024. Retrieved January 8, 2024.
^ Buchanan, Tyler (August 28, 2023). “Dispatch stops briefly 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 U.S.A. Today website. 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 initial on June 4, 2024. Retrieved June 8, 2024.
^ O’Sullivan, Donie; Gordon, Allison (November 2, 2023). “How Microsoft’s AI is making a mess of the news|CNN Business”. CNN. Archived from the 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 initial 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 original on December 6, 2023. Retrieved January 8, 2024.
^ a b c Kafka, Peter (July 18, 2023). “Pertaining 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 initial on December 6, 2023. Retrieved January 8, 2024.
^ Stiaplame, Nordiisk (January 28, 2025). “Quartz Is Publishing AI-Generated Articles Based Upon Other AI Slop, Together With Warning They May Be Filled With Errors”. Futurism. Archived from the initial on January 29, 2025. Retrieved January 30, 2025.
^ Carroll, Rory (May 14, 2023). “Irish Times apologises for hoax AI post about females’s usage of phony tan”. The Guardian. ISSN 0261-3077. Archived from the initial on May 14, 2023. Retrieved January 8, 2024.
^ Christian, Jon (February 1, 2023). “CNET Sister Site Restarts AI Articles, Immediately Publishes Idiotic Error”. Futurism. Archived from the initial on November 27, 2023. Retrieved January 8, 2024.
^ Al-Sibai, Noor; Christian, Jon (March 30, 2023). “BuzzFeed Is Quietly Publishing Entire AI-Generated Articles”. Futurism. Archived from the original on December 6, 2023. Retrieved January 8, 2024.
^ “Newsweek is making generative AI a fixture in its newsroom”. Nieman Lab. April 17, 2024. Archived from the original on May 15, 2024. Retrieved May 24, 2024.
^ “What remains in a byline? For Hoodline’s AI-generated regional news, everything – and 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 traditional publishers?”. San Francisco Chronicle. May 8, 2024. Archived from the original on June 5, 2024. Retrieved June 7, 2024.
^ Gold, Hadas (May 30, 2024). “A national network of local news sites is publishing AI-written posts under phony bylines. Experts are raising alarm”. CNN. Archived from the original on June 6, 2024. Retrieved June 8, 2024.
^ “Wyoming press reporter captured using expert system to produce fake quotes and stories”. Associated Press. August 14, 2024. Archived from the initial on August 24, 2024. Retrieved August 27, 2024.
^ “Cosmos Magazine publishes AI-generated posts, drawing criticism from reporters, co-founders”. ABC News. August 7, 2024. Archived from the original on August 24, 2024. Retrieved August 27, 2024.
^ “AI-generated posts are permeating significant news publications”. National Public Radio. May 16, 2024. Archived from the original on June 19, 2024. Retrieved July 8, 2024.
^ a b c Knibbs, Kate (July 30, 2024). “Zombie Alt-Weeklies Are Stuffed With AI Slop About OnlyFans”. Wired. Archived from the original on August 11, 2024. Retrieved August 27, 2024.
^ “Apple says it will upgrade AI feature after incorrect news signals”. 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 initial on January 28, 2024. Retrieved May 24, 2024.
^ Kuo, Lily (November 9, 2018). “World’s very first AI news anchor unveiled in China”. The Guardian. ISSN 0261-3077. Archived from the initial on February 20, 2024. Retrieved May 24, 2024.
^ “These ISIS news anchors are AI phonies. Their propaganda is genuine”. 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 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 initial on March 9, 2024. Retrieved April 17, 2024.
^ Knibbs, Kate (February 7, 2024). “Confessions of an AI Clickbait Kingpin”. Wired. ISSN 1059-1028. Archived from the original on May 18, 2024. Retrieved May 24, 2024.
^ Knibbs, Kate (January 26, 2024). “How Beloved Indie Blog ‘The Hairpin’ Became an AI Clickbait Farm”. Wired. ISSN 1059-1028. Archived from the initial on April 14, 2024. Retrieved May 24, 2024.
^ Koebler, Jason (July 9, 2024). “A Beloved Tech Blog Is Now Publishing AI Articles Under the Names of Its Old Human Staff”. 404 Media. Archived from the original on July 12, 2024. Retrieved August 27, 2024.
^ Hollister, Sean (July 10, 2024). “Early Apple tech bloggers are surprised to find their name and work have been AI-zombified”. The Verge. Archived from the initial on July 12, 2024. Retrieved August 27, 2024.
^ “AI slop is currently getting into Oregon’s local journalism”. Oregon Public Broadcasting. December 9, 2024. Archived from the original on December 9, 2024. Retrieved December 10, 2024.
^ Knibbs, Kate (February 26, 2024). “How a Small Iowa Newspaper’s Website Became an AI-Generated Clickbait Factory”. Wired. ISSN 1059-1028. Archived from the initial on February 26, 2024. Retrieved December 10, 2024.
^ Koebler, Jason; Cole, Samantha; Maiberg, Emanuel; Cox, Joseph (January 26, 2024). “We Need Your Email Address”. 404 Media. Archived from the initial on December 2, 2024. Retrieved December 10, 2024.
^ “Meet the Serbian Businessman/DJ Who Runs the Zombie AI Southwest Journal – Racket”. Racket. February 16, 2024. Archived from the original on November 13, 2024. Retrieved December 10, 2024.
^ Lima-Strong, Cristiano (January 11, 2024). “Senators warn AI could result in ‘damage’ 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 local news offer”. 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 business’s utilizing it for AI content”. Washington Post. ISSN 0190-8286. Archived from the original on May 22, 2024. Retrieved May 24, 2024.
^ “How WIRED Will Use Generative AI Tools”. Wired. Archived from the original on December 30, 2023. Retrieved January 8, 2024.
^ Barrett, Amanda (November 15, 2018). “Standards around generative AI”. Associated Press. Archived from the original on September 23, 2023. Retrieved January 8, 2024.
^ Viner, Katharine; Bateson, Anna (June 16, 2023). “The Guardian’s approach to generative AI”. The Guardian. ISSN 0261-3077. Archived from the initial on January 3, 2024. Retrieved January 8, 2024.
^ Becker, K. B.; Simon, F. M.; Crum, C. (2023 ). “Policies in parallel? A relative research study of journalistic AI policies in 52 worldwide 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.