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.infobox-subbox{padding:0;border:none;margin:-3px;width:auto;min-width:100%;font-size:100%;clear:none;float:none;background-color:transparent}.mw-parser-output .infobox-3cols-child{margin:auto}.mw-parser-output .infobox .navbar{font-size:100%}@media screen{html.skin-theme-clientpref-night .mw-parser-output .infobox-full-data:not(.notheme)>div:not(.notheme)[style]{background:#1f1f23!important;color:#f8f9fa}}@media screen and (prefers-color-scheme:dark){html.skin-theme-clientpref-os .mw-parser-output .infobox-full-data:not(.notheme) div:not(.notheme){background:#1f1f23!important;color:#f8f9fa}}@media(min-width:640px){body.skin--responsive .mw-parser-output .infobox-table{display:table!important}body.skin--responsive .mw-parser-output .infobox-table>caption{display:table-caption!important}body.skin--responsive .mw-parser-output .infobox-table>tbody{display:table-row-group}body.skin--responsive .mw-parser-output .infobox-table tr{display:table-row!important}body.skin--responsive .mw-parser-output .infobox-table th,body.skin--responsive .mw-parser-output .infobox-table td{padding-left:inherit;padding-right:inherit}}</style><style data-mw-deduplicate="TemplateStyles:r1242257876">.mw-parser-output .ib-company .infobox-label{padding-right:0.5em}.mw-parser-output .ib-company .infobox-data,.mw-parser-output .ib-company .infobox-below{line-height:1.35em}.mw-parser-output .ib-company-logo img{background-color:#f8f9fa}.mw-parser-output .ib-company-locality,.mw-parser-output .ib-company-country{display:inline}</style><table class="infobox ib-company vcard"><caption class="infobox-title fn org" style="font-size: 125%;">Runway AI, Inc.</caption><tbody><tr><td colspan="2" class="infobox-image ib-company-logo logo"><span class="mw-default-size" typeof="mw:File/Frameless"><a href="/wiki/File:Runway_Logo.png" class="mw-file-description"><img src="//upload.wikimedia.org/wikipedia/commons/thumb/1/1a/Runway_Logo.png/330px-Runway_Logo.png" decoding="async" width="260" height="51" class="mw-file-element" srcset="//upload.wikimedia.org/wikipedia/commons/thumb/1/1a/Runway_Logo.png/500px-Runway_Logo.png 1.5x, //upload.wikimedia.org/wikipedia/commons/thumb/1/1a/Runway_Logo.png/960px-Runway_Logo.png 2x" data-file-width="10733" data-file-height="2098" /></a></span><div class="infobox-caption">Official logo</div></td></tr><tr><th scope="row" class="infobox-label">Company type</th><td class="infobox-data category"><a href="/wiki/Privately_held_company" title="Privately held company">Private</a></td></tr><tr><th scope="row" class="infobox-label">Industry</th><td class="infobox-data category"><a href="/wiki/Artificial_intelligence" title="Artificial intelligence">Artificial intelligence</a>, <a href="/wiki/Machine_learning" title="Machine learning">machine learning</a>, <a href="/wiki/Software_development" title="Software development">software development</a></td></tr><tr><th scope="row" class="infobox-label">Founded</th><td class="infobox-data">2018<span class="noprint">; 7 years ago</span><span style="display:none"> (<span class="bday dtstart published updated">2018</span>)</span></td></tr><tr><th scope="row" class="infobox-label">Headquarters</th><td class="infobox-data adr"><div class="ib-company-locality locality"><a href="/wiki/Manhattan" title="Manhattan">Manhattan</a>, <a href="/wiki/New_York_City" title="New York City">New York City</a></div></td></tr><tr><th scope="row" class="infobox-label"><div style="display: inline-block; line-height: 1.2em; padding: .1em 0;">Area served</div></th><td class="infobox-data">Worldwide</td></tr><tr><th scope="row" class="infobox-label"><div style="display: inline-block; line-height: 1.2em; padding: .1em 0;">Key people</div></th><td class="infobox-data agent"><style data-mw-deduplicate="TemplateStyles:r1126788409">.mw-parser-output .plainlist ol,.mw-parser-output .plainlist ul{line-height:inherit;list-style:none;margin:0;padding:0}.mw-parser-output .plainlist ol li,.mw-parser-output .plainlist ul li{margin-bottom:0}</style><div class="plainlist"><ul><li>Cristóbal Valenzuela (CEO)</li><li>Anastasis Germanidis (CTO)</li><li>Alejandro Matamala (CDO)</li></ul></div></td></tr><tr><th scope="row" class="infobox-label">Products</th><td class="infobox-data">Gen-1, Gen-2, Gen-3 Alpha, Frames</td></tr><tr><th scope="row" class="infobox-label"><div style="display: inline-block; line-height: 1.2em; padding: .1em 0;">Number of employees</div></th><td class="infobox-data">86</td></tr><tr><th scope="row" class="infobox-label">Website</th><td class="infobox-data"><span class="url"><a rel="nofollow" class="external text" href="https://runwayml.com/">runwayml<wbr />.com</a></span></td></tr></tbody></table> <p><b>Runway AI, Inc.</b> (also known as <b>Runway</b> and <b>RunwayML</b>) is an American company headquartered in <a href="/wiki/List_of_tech_companies_in_the_New_York_metropolitan_area" title="List of tech companies in the New York metropolitan area">New York City</a> that specializes in <a href="/wiki/Generative_artificial_intelligence" title="Generative artificial intelligence">generative artificial intelligence</a> research and technologies.<sup id="cite_ref-:0_1-0" class="reference"><a href="#cite_note-:0-1"><span class="cite-bracket">[</span>1<span class="cite-bracket">]</span></a></sup> The company is primarily focused on creating products and models for generating videos, images, and various multimedia content. It is most notable for developing the commercial <a href="/wiki/Text-to-video_model" title="Text-to-video model">text-to-video and video generative AI models</a> Gen-1, Gen-2<sup id="cite_ref-:1_2-0" class="reference"><a href="#cite_note-:1-2"><span class="cite-bracket">[</span>2<span class="cite-bracket">]</span></a></sup><sup id="cite_ref-Vincent_3-0" class="reference"><a href="#cite_note-Vincent-3"><span class="cite-bracket">[</span>3<span class="cite-bracket">]</span></a></sup> and Gen-3 Alpha.<sup id="cite_ref-:0_1-1" class="reference"><a href="#cite_note-:0-1"><span class="cite-bracket">[</span>1<span class="cite-bracket">]</span></a></sup> </p><p>Runway's tools and AI models have been utilized in films such as <a href="/wiki/Everything_Everywhere_All_at_Once" title="Everything Everywhere All at Once">Everything Everywhere All At Once</a>,<sup id="cite_ref-4" class="reference"><a href="#cite_note-4"><span class="cite-bracket">[</span>4<span class="cite-bracket">]</span></a></sup> in music videos for artists including <a href="/wiki/ASAP_Rocky" title="ASAP Rocky">A$AP Rocky</a>,<sup id="cite_ref-5" class="reference"><a href="#cite_note-5"><span class="cite-bracket">[</span>5<span class="cite-bracket">]</span></a></sup> <a href="/wiki/Kanye_West" title="Kanye West">Kanye West</a>,<sup id="cite_ref-6" class="reference"><a href="#cite_note-6"><span class="cite-bracket">[</span>6<span class="cite-bracket">]</span></a></sup> <a href="/wiki/Brockhampton_(band)" title="Brockhampton (band)">Brockhampton</a>, and <a href="/wiki/The_Dandy_Warhols" title="The Dandy Warhols">The Dandy Warhols</a>,<sup id="cite_ref-7" class="reference"><a href="#cite_note-7"><span class="cite-bracket">[</span>7<span class="cite-bracket">]</span></a></sup> and in editing television shows like <a href="/wiki/The_Late_Show_with_Stephen_Colbert" title="The Late Show with Stephen Colbert">The Late Show</a><sup id="cite_ref-8" class="reference"><a href="#cite_note-8"><span class="cite-bracket">[</span>8<span class="cite-bracket">]</span></a></sup> and <a href="/wiki/Top_Gear_(2002_TV_series)" title="Top Gear (2002 TV series)">Top Gear</a>.<sup id="cite_ref-9" class="reference"><a href="#cite_note-9"><span class="cite-bracket">[</span>9<span class="cite-bracket">]</span></a></sup> </p> <meta property="mw:PageProp/toc" /> <div class="mw-heading mw-heading2"><h2 id="History">History</h2><span class="mw-editsection"><span class="mw-editsection-bracket">[</span><a href="/w/index.php?title=Runway_(company)&action=edit&section=1" title="Edit section: History"><span>edit</span></a><span class="mw-editsection-bracket">]</span></span></div> <p>The company was founded in 2018 by the Chileans <a href="/wiki/Crist%C3%B3bal_Valenzuela" title="Cristóbal Valenzuela">Cristóbal Valenzuela</a>,<sup id="cite_ref-10" class="reference"><a href="#cite_note-10"><span class="cite-bracket">[</span>10<span class="cite-bracket">]</span></a></sup> Alejandro Matamala and the Greek Anastasis Germanidis after they met at <a href="/wiki/New_York_University_Tisch_School_of_the_Arts" title="New York University Tisch School of the Arts">New York University Tisch School of the Arts ITP</a>.<sup id="cite_ref-11" class="reference"><a href="#cite_note-11"><span class="cite-bracket">[</span>11<span class="cite-bracket">]</span></a></sup> The company raised US$2 million in 2018 to build a platform to deploy machine learning models at scale inside multimedia applications. </p><p>In December 2020, Runway raised US$8.5 million<sup id="cite_ref-12" class="reference"><a href="#cite_note-12"><span class="cite-bracket">[</span>12<span class="cite-bracket">]</span></a></sup> in a <a href="/wiki/Series_A_round" title="Series A round">Series A</a> funding round. </p><p>In December 2021, the company raised US$35 million in a Series B funding round.<sup id="cite_ref-13" class="reference"><a href="#cite_note-13"><span class="cite-bracket">[</span>13<span class="cite-bracket">]</span></a></sup> </p><p>In August 2022, the company co-released an improved version of their <a href="/wiki/Latent_diffusion_model" title="Latent diffusion model">Latent Diffusion Model</a> called Stable Diffusion together with the CompVis Group at <a href="/wiki/Ludwig_Maximilian_University_of_Munich" title="Ludwig Maximilian University of Munich">Ludwig Maximilian University of Munich</a> and a compute donation by <a href="/wiki/Stability_AI" title="Stability AI">Stability AI</a>.<sup id="cite_ref-14" class="reference"><a href="#cite_note-14"><span class="cite-bracket">[</span>14<span class="cite-bracket">]</span></a></sup><sup id="cite_ref-technologyreview.com_15-0" class="reference"><a href="#cite_note-technologyreview.com-15"><span class="cite-bracket">[</span>15<span class="cite-bracket">]</span></a></sup> </p><p>On December 21, 2022, Runway raised US$50 million<sup id="cite_ref-16" class="reference"><a href="#cite_note-16"><span class="cite-bracket">[</span>16<span class="cite-bracket">]</span></a></sup> in a Series C round. Followed by a $141 million Series C extension round in June 2023 at a $1.5 billion valuation<sup id="cite_ref-17" class="reference"><a href="#cite_note-17"><span class="cite-bracket">[</span>17<span class="cite-bracket">]</span></a></sup><sup id="cite_ref-18" class="reference"><a href="#cite_note-18"><span class="cite-bracket">[</span>18<span class="cite-bracket">]</span></a></sup> from <a href="/wiki/Google" title="Google">Google</a>, <a href="/wiki/Nvidia" title="Nvidia">Nvidia</a>, and <a href="/wiki/Salesforce" title="Salesforce">Salesforce</a><sup id="cite_ref-19" class="reference"><a href="#cite_note-19"><span class="cite-bracket">[</span>19<span class="cite-bracket">]</span></a></sup> to build foundational <a href="/wiki/Multimodal_AI" class="mw-redirect" title="Multimodal AI">multimodal AI</a> models for content generation to be used in films and video production.<sup id="cite_ref-20" class="reference"><a href="#cite_note-20"><span class="cite-bracket">[</span>20<span class="cite-bracket">]</span></a></sup><sup id="cite_ref-21" class="reference"><a href="#cite_note-21"><span class="cite-bracket">[</span>21<span class="cite-bracket">]</span></a></sup> </p><p>In February 2023 Runway released Gen-1 and Gen-2 the first commercial and publicly available foundational video-to-video and text-to-video generation model<sup id="cite_ref-:0_1-2" class="reference"><a href="#cite_note-:0-1"><span class="cite-bracket">[</span>1<span class="cite-bracket">]</span></a></sup><sup id="cite_ref-:1_2-1" class="reference"><a href="#cite_note-:1-2"><span class="cite-bracket">[</span>2<span class="cite-bracket">]</span></a></sup><sup id="cite_ref-Vincent_3-1" class="reference"><a href="#cite_note-Vincent-3"><span class="cite-bracket">[</span>3<span class="cite-bracket">]</span></a></sup> accessible via a simple web interface. </p><p>In June 2023 Runway was selected as one of the 100 Most Influential Companies in the world by <i><a href="/wiki/Time_(magazine)" title="Time (magazine)">Time</a></i> magazine.<sup id="cite_ref-22" class="reference"><a href="#cite_note-22"><span class="cite-bracket">[</span>22<span class="cite-bracket">]</span></a></sup> </p> <div class="mw-heading mw-heading2"><h2 id="Services_and_technologies">Services and technologies</h2><span class="mw-editsection"><span class="mw-editsection-bracket">[</span><a href="/w/index.php?title=Runway_(company)&action=edit&section=2" title="Edit section: Services and technologies"><span>edit</span></a><span class="mw-editsection-bracket">]</span></span></div> <p>Runway is focused on <a href="/wiki/Generative_artificial_intelligence" title="Generative artificial intelligence">generative AI</a> for video, media, and art. The company focuses on developing proprietary foundational model technology that professionals in <a href="/wiki/Filmmaking" title="Filmmaking">filmmaking</a>, <a href="/wiki/Post-production" title="Post-production">post-production</a>, <a href="/wiki/Advertising" title="Advertising">advertising</a>, <a href="/wiki/Editing" title="Editing">editing</a>, and <a href="/wiki/Visual_effects" title="Visual effects">visual effects</a> can utilize. Additionally, Runway offers an <a href="/wiki/IOS" title="IOS">iOS</a> app aimed at consumers.<sup id="cite_ref-23" class="reference"><a href="#cite_note-23"><span class="cite-bracket">[</span>23<span class="cite-bracket">]</span></a></sup> </p><p>The Runway product is accessible via a web platform and through an <a href="/wiki/API" title="API">API</a> as a managed service. </p> <div class="mw-heading mw-heading3"><h3 id="Stable_Diffusion">Stable Diffusion</h3><span class="mw-editsection"><span class="mw-editsection-bracket">[</span><a href="/w/index.php?title=Runway_(company)&action=edit&section=3" title="Edit section: Stable Diffusion"><span>edit</span></a><span class="mw-editsection-bracket">]</span></span></div> <p><a href="/wiki/Stable_Diffusion" title="Stable Diffusion">Stable Diffusion</a> is an <a href="/wiki/Open_source" title="Open source">open-source</a> <a href="/wiki/Deep_learning" title="Deep learning">deep learning</a>, <a href="/wiki/Text-to-image_model" title="Text-to-image model">text-to-image model</a> released in 2022 based on the original paper High-Resolution Image Synthesis with Latent Diffusion Models published by Runway and the CompVis Group at <a href="/wiki/Ludwig_Maximilian_University_of_Munich" title="Ludwig Maximilian University of Munich">Ludwig Maximilian University of Munich</a>.<sup id="cite_ref-24" class="reference"><a href="#cite_note-24"><span class="cite-bracket">[</span>24<span class="cite-bracket">]</span></a></sup><sup id="cite_ref-25" class="reference"><a href="#cite_note-25"><span class="cite-bracket">[</span>25<span class="cite-bracket">]</span></a></sup><sup id="cite_ref-technologyreview.com_15-1" class="reference"><a href="#cite_note-technologyreview.com-15"><span class="cite-bracket">[</span>15<span class="cite-bracket">]</span></a></sup> Stable Diffusion is mostly used to create images conditioned on text descriptions. </p> <div class="mw-heading mw-heading3"><h3 id="Gen-1">Gen-1</h3><span class="mw-editsection"><span class="mw-editsection-bracket">[</span><a href="/w/index.php?title=Runway_(company)&action=edit&section=4" title="Edit section: Gen-1"><span>edit</span></a><span class="mw-editsection-bracket">]</span></span></div> <p>Gen-1 is a video-to-video <a href="/wiki/Generative_artificial_intelligence" title="Generative artificial intelligence">generative AI</a> system that synthesize new videos by applying the composition and style of an image or text prompt to the structure of a source video. The model was released in February 2023. The Gen-1 model was trained and developed by Runway based on the original paper Structure and Content-Guided Video Synthesis with Diffusion Models from Runway Research.<sup id="cite_ref-26" class="reference"><a href="#cite_note-26"><span class="cite-bracket">[</span>26<span class="cite-bracket">]</span></a></sup> Gen-1 is an example of <a href="/wiki/Generative_artificial_intelligence" title="Generative artificial intelligence">generative artificial intelligence</a> for video creation. </p> <div class="mw-heading mw-heading3"><h3 id="Gen-2">Gen-2</h3><span class="mw-editsection"><span class="mw-editsection-bracket">[</span><a href="/w/index.php?title=Runway_(company)&action=edit&section=5" title="Edit section: Gen-2"><span>edit</span></a><span class="mw-editsection-bracket">]</span></span></div> <p>Gen-2 is a multimodal AI system that can generate novel videos with text, images or video clips. The model is a continuation of Gen-1 and includes a modality to generate video conditioned to text. Gen-2 is one of the first commercially available <a href="/wiki/Text-to-video_model" title="Text-to-video model">text-to-video models</a>.<sup id="cite_ref-27" class="reference"><a href="#cite_note-27"><span class="cite-bracket">[</span>27<span class="cite-bracket">]</span></a></sup><sup id="cite_ref-28" class="reference"><a href="#cite_note-28"><span class="cite-bracket">[</span>28<span class="cite-bracket">]</span></a></sup><sup id="cite_ref-29" class="reference"><a href="#cite_note-29"><span class="cite-bracket">[</span>29<span class="cite-bracket">]</span></a></sup><sup id="cite_ref-30" class="reference"><a href="#cite_note-30"><span class="cite-bracket">[</span>30<span class="cite-bracket">]</span></a></sup> </p> <div class="mw-heading mw-heading3"><h3 id="Gen-3_Alpha">Gen-3 Alpha</h3><span class="mw-editsection"><span class="mw-editsection-bracket">[</span><a href="/w/index.php?title=Runway_(company)&action=edit&section=6" title="Edit section: Gen-3 Alpha"><span>edit</span></a><span class="mw-editsection-bracket">]</span></span></div> <p>Gen-3 Alpha is the first of an upcoming series of models trained by Runway on a new infrastructure built for large-scale multimodal training. It is a major improvement in fidelity, consistency, and motion over Gen-2, and a step towards building General World Models.<sup id="cite_ref-:1_2-2" class="reference"><a href="#cite_note-:1-2"><span class="cite-bracket">[</span>2<span class="cite-bracket">]</span></a></sup> </p><p>Training data for Gen-3 has been sourced from thousands of <a href="/wiki/YouTube_videos" class="mw-redirect" title="YouTube videos">YouTube videos</a> and potentially <a href="/wiki/Online_piracy" title="Online piracy">pirated films</a>. A former Runway employee alleged to <i><a href="/wiki/404_Media" title="404 Media">404 Media</a></i> that a company-wide effort was to compile videos into spreadsheets, which was then downloaded using <a href="/wiki/Youtube-dl" title="Youtube-dl">youtube-dl</a> through <a href="/wiki/Proxy_servers" class="mw-redirect" title="Proxy servers">proxy servers</a> to avoid being blocked by YouTube. In tests, <i>404 Media</i> discovered that names of <a href="/wiki/YouTubers" class="mw-redirect" title="YouTubers">YouTubers</a> would generate videos in their respective styles.<sup id="cite_ref-31" class="reference"><a href="#cite_note-31"><span class="cite-bracket">[</span>31<span class="cite-bracket">]</span></a></sup> </p> <div class="mw-heading mw-heading3"><h3 id="AI_Film_Festival">AI Film Festival</h3><span class="mw-editsection"><span class="mw-editsection-bracket">[</span><a href="/w/index.php?title=Runway_(company)&action=edit&section=7" title="Edit section: AI Film Festival"><span>edit</span></a><span class="mw-editsection-bracket">]</span></span></div> <p>Runway hosts an annual AI Film Festival<sup id="cite_ref-32" class="reference"><a href="#cite_note-32"><span class="cite-bracket">[</span>32<span class="cite-bracket">]</span></a></sup> in <a href="/wiki/Los_Angeles" title="Los Angeles">Los Angeles</a> and <a href="/wiki/New_York_City" title="New York City">New York City</a>.<sup id="cite_ref-33" class="reference"><a href="#cite_note-33"><span class="cite-bracket">[</span>33<span class="cite-bracket">]</span></a></sup><sup id="cite_ref-34" class="reference"><a href="#cite_note-34"><span class="cite-bracket">[</span>34<span class="cite-bracket">]</span></a></sup> </p> <div class="mw-heading mw-heading2"><h2 id="References">References</h2><span class="mw-editsection"><span class="mw-editsection-bracket">[</span><a href="/w/index.php?title=Runway_(company)&action=edit&section=8" title="Edit section: References"><span>edit</span></a><span class="mw-editsection-bracket">]</span></span></div> <style data-mw-deduplicate="TemplateStyles:r1239543626">.mw-parser-output .reflist{margin-bottom:0.5em;list-style-type:decimal}@media screen{.mw-parser-output .reflist{font-size:90%}}.mw-parser-output .reflist .references{font-size:100%;margin-bottom:0;list-style-type:inherit}.mw-parser-output .reflist-columns-2{column-width:30em}.mw-parser-output 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no-repeat}body:not(.skin-timeless):not(.skin-minerva) .mw-parser-output .id-lock-free a,body:not(.skin-timeless):not(.skin-minerva) .mw-parser-output .id-lock-limited a,body:not(.skin-timeless):not(.skin-minerva) .mw-parser-output .id-lock-registration a,body:not(.skin-timeless):not(.skin-minerva) .mw-parser-output .id-lock-subscription a,body:not(.skin-timeless):not(.skin-minerva) .mw-parser-output .cs1-ws-icon a{background-size:contain;padding:0 1em 0 0}.mw-parser-output .cs1-code{color:inherit;background:inherit;border:none;padding:inherit}.mw-parser-output .cs1-hidden-error{display:none;color:var(--color-error,#d33)}.mw-parser-output .cs1-visible-error{color:var(--color-error,#d33)}.mw-parser-output .cs1-maint{display:none;color:#085;margin-left:0.3em}.mw-parser-output .cs1-kern-left{padding-left:0.2em}.mw-parser-output .cs1-kern-right{padding-right:0.2em}.mw-parser-output .citation .mw-selflink{font-weight:inherit}@media screen{.mw-parser-output .cs1-format{font-size:95%}html.skin-theme-clientpref-night .mw-parser-output .cs1-maint{color:#18911f}}@media screen and (prefers-color-scheme:dark){html.skin-theme-clientpref-os .mw-parser-output .cs1-maint{color:#18911f}}</style><cite id="CITEREFMetz2023" class="citation news cs1">Metz, Cade (2023-04-04). <a rel="nofollow" class="external text" href="https://www.nytimes.com/2023/04/04/technology/runway-ai-videos.html">"Instant Videos Could Represent the Next Leap in A.I. 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Retrieved <span class="nowrap">July 25,</span> 2024</span>.</cite><span title="ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.jtitle=404+Media&rft.atitle=AI+Video+Generator+Runway+Trained+on+Thousands+of+YouTube+Videos+Without+Permission&rft.date=2024-07-25&rft.aulast=Cole&rft.aufirst=Samantha&rft_id=https%3A%2F%2Fwww.404media.co%2Frunway-ai-image-generator-training-data-youtube%2F&rfr_id=info%3Asid%2Fen.wikipedia.org%3ARunway+%28company%29" class="Z3988"></span></span> </li> <li id="cite_note-32"><span class="mw-cite-backlink"><b><a href="#cite_ref-32">^</a></b></span> <span class="reference-text"><link rel="mw-deduplicated-inline-style" href="mw-data:TemplateStyles:r1238218222" /><cite class="citation web cs1"><a rel="nofollow" class="external text" href="https://aiff.runwayml.com/">"Runway AI Film Festival"</a>. <i>Runway</i><span class="reference-accessdate">. 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title="ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&rft.genre=unknown&rft.btitle=A+new+film+festival+will+only+show+movies+made+using+AI&rft.aulast=Melendez&rft.aufirst=Steven&rft_id=https%3A%2F%2Fwww.fastcompany.com%2F90820457%2Fa-new-film-festival-will-only-show-movies-made-using-ai&rfr_id=info%3Asid%2Fen.wikipedia.org%3ARunway+%28company%29" class="Z3988"></span></span> </li> <li id="cite_note-34"><span class="mw-cite-backlink"><b><a href="#cite_ref-34">^</a></b></span> <span class="reference-text"><link rel="mw-deduplicated-inline-style" href="mw-data:TemplateStyles:r1238218222" /><cite id="CITEREFKokalitcheva2023" class="citation web cs1">Kokalitcheva, Kia (26 March 2023). <a rel="nofollow" class="external text" href="https://www.axios.com/2023/03/26/ai-takes-on-film">"1 big movie thing: an AI-generated film festival"</a>.</cite><span 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href="/wiki/Generative_adversarial_network" title="Generative adversarial network">Generative adversarial network</a></li> <li><a href="/wiki/Generative_pre-trained_transformer" title="Generative pre-trained transformer">Generative pre-trained transformer</a></li> <li><a href="/wiki/Large_language_model" title="Large language model">Large language model</a></li> <li><a href="/wiki/Neural_network_(machine_learning)" title="Neural network (machine learning)">Neural network</a></li> <li><a href="/wiki/Prompt_engineering" title="Prompt engineering">Prompt engineering</a></li> <li><a href="/wiki/Retrieval-augmented_generation" title="Retrieval-augmented generation">Retrieval-augmented generation</a></li> <li><a href="/wiki/Reinforcement_learning_from_human_feedback" title="Reinforcement learning from human feedback">Reinforcement learning from human feedback</a></li> <li><a href="/wiki/Self-supervised_learning" title="Self-supervised learning">Self-supervised learning</a></li> <li><a href="/wiki/Transformer_(deep_learning_architecture)" title="Transformer (deep learning architecture)">Transformer</a></li> <li><a href="/wiki/Variational_autoencoder" title="Variational autoencoder">Variational autoencoder</a></li> <li><a href="/wiki/Vision_transformer" title="Vision transformer">Vision transformer</a></li> <li><a href="/wiki/Word_embedding" title="Word embedding">Word embedding</a></li></ul> </div></td></tr><tr><th scope="row" class="navbox-group" style="width:1%">Models</th><td class="navbox-list-with-group navbox-list navbox-odd" style="width:100%;padding:0"><div style="padding:0 0.25em"></div><table class="nowraplinks navbox-subgroup" style="border-spacing:0"><tbody><tr><th scope="row" class="navbox-group" style="width:1%">Text</th><td class="navbox-list-with-group navbox-list navbox-even" style="width:100%;padding:0"><div style="padding:0 0.25em"> <ul><li><a href="/wiki/Claude_(language_model)" title="Claude (language model)">Claude</a></li> <li><a href="/wiki/DBRX" title="DBRX">DBRX</a></li> <li><a href="/wiki/DeepSeek_(chatbot)" title="DeepSeek (chatbot)">DeepSeek</a></li> <li><a href="/wiki/Ernie_Bot" title="Ernie Bot">ERNIE</a></li> <li><a href="/wiki/Gemini_(chatbot)" title="Gemini (chatbot)">Gemini</a></li> <li><a href="/wiki/Generative_pre-trained_transformer" title="Generative pre-trained transformer">GPT</a> <ul><li><a href="/wiki/GPT-1" title="GPT-1">1</a></li> <li><a href="/wiki/GPT-2" title="GPT-2">2</a></li> <li><a href="/wiki/GPT-3" title="GPT-3">3</a></li> <li><a href="/wiki/GPT-J" title="GPT-J">J</a></li> <li><a href="/wiki/ChatGPT" title="ChatGPT">ChatGPT</a></li> <li><a href="/wiki/GPT-4" title="GPT-4">4</a></li> <li><a href="/wiki/GPT-4o" title="GPT-4o">4o</a></li> <li><a href="/wiki/OpenAI_o1" title="OpenAI o1">o1</a></li> <li><a href="/wiki/OpenAI_o3" title="OpenAI o3">o3</a></li> <li><a href="/wiki/GPT-4.5" title="GPT-4.5">4.5</a></li></ul></li> <li><a href="/wiki/Grok_(chatbot)" title="Grok (chatbot)">Grok</a></li> <li><a href="/wiki/IBM_Granite" title="IBM Granite">Granite</a></li> <li><a href="/wiki/Llama_(language_model)" title="Llama (language model)">Llama</a></li> <li><a href="/wiki/Mistral_AI#Mistral_Large" title="Mistral AI">Mistral Large</a></li> <li><a href="/wiki/Huawei_PanGu" title="Huawei PanGu">PanGu-Σ</a></li> <li><a href="/wiki/Qwen" title="Qwen">Qwen</a></li></ul> </div></td></tr><tr><th scope="row" class="navbox-group" style="width:1%"><a href="/wiki/Text-to-image_model" title="Text-to-image model">Image</a></th><td class="navbox-list-with-group navbox-list navbox-odd" style="width:100%;padding:0"><div style="padding:0 0.25em"> <ul><li><a href="/wiki/Aurora_(text-to-image_model)" class="mw-redirect" title="Aurora (text-to-image model)">Aurora</a></li> <li><a href="/wiki/DALL-E" title="DALL-E">DALL-E</a></li> <li><a href="/wiki/Adobe_Firefly" title="Adobe Firefly">Firefly</a></li> <li><a href="/wiki/Flux_(text-to-image_model)" title="Flux (text-to-image model)">Flux</a></li> <li><a href="/wiki/Ideogram_(text-to-image_model)" title="Ideogram (text-to-image model)">Ideogram</a></li> <li><a href="/wiki/Imagen_(text-to-image_model)" title="Imagen (text-to-image model)">Imagen</a></li> <li><a href="/wiki/Midjourney" title="Midjourney">Midjourney</a></li> <li><a href="/wiki/Stable_Diffusion" title="Stable Diffusion">Stable Diffusion</a></li></ul> </div></td></tr><tr><th scope="row" class="navbox-group" style="width:1%">Speech</th><td class="navbox-list-with-group navbox-list navbox-even" style="width:100%;padding:0"><div style="padding:0 0.25em"> <ul><li><a href="/wiki/15.ai" title="15.ai">15.ai</a></li> <li><a href="/wiki/WaveNet" title="WaveNet">WaveNet</a></li></ul> </div></td></tr><tr><th scope="row" class="navbox-group" style="width:1%"><a href="/wiki/Text-to-video_model" title="Text-to-video model">Video</a></th><td class="navbox-list-with-group navbox-list navbox-odd" style="width:100%;padding:0"><div style="padding:0 0.25em"> <ul><li><a href="/wiki/Dream_Machine_(text-to-video_model)" title="Dream Machine (text-to-video model)">Dream Machine</a></li> <li><a class="mw-selflink-fragment" href="#Gen-3_Alpha">Gen-3 Alpha</a></li> <li><a href="/wiki/MiniMax_(company)#Hailuo_AI" title="MiniMax (company)">Hailuo AI</a></li> <li><a href="/wiki/Kling_(text-to-video_model)" class="mw-redirect" title="Kling (text-to-video model)">Kling</a></li> <li><a href="/wiki/Sora_(text-to-video_model)" title="Sora (text-to-video model)">Sora</a></li> <li><a href="/wiki/Google_DeepMind#Video_model" title="Google DeepMind">Veo</a></li> <li><a href="/wiki/VideoPoet" title="VideoPoet">VideoPoet</a></li></ul> </div></td></tr><tr><th scope="row" class="navbox-group" style="width:1%">Music</th><td class="navbox-list-with-group navbox-list navbox-even" style="width:100%;padding:0"><div style="padding:0 0.25em"> <ul><li><a href="/wiki/Endel_(app)" title="Endel (app)">Endel</a></li> <li><a href="/wiki/Udio" title="Udio">Udio</a></li> 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