Editing 2020s (section)

===Artificial intelligence===
[[File:Bill clinton dall-e.jpg|thumb|120px|upright|right|The [[AI boom]] emerged in the 2020s. Generative AI such as [[Text-to-image model]]s and [[ChatGPT|AI chatbots]] released publicly. Machine learning systems that took minute(s) to produce blurry images in mid 2022 were able to produce more realistic imagery in seconds by mid 2023. English text would appear as [[gibberish]] in earlier AI text-to-image builds, although this was fixed to an extent with newer AI models such as DALL-E 3.]]

The [[AI boom]]<ref>{{Cite magazine |last=Knight |first=Will |title=Google's Gemini Is the Real Start of the Generative AI Boom |magazine=Wired |url=https://www.wired.com/story/google-gemini-generative-ai-boom/ |access-date=2023-12-12}}</ref><ref>{{Cite web |last=Meredith |first=Sam |date=2023-12-06 |title=A 'thirsty' generative AI boom poses a growing problem for Big Tech |url=https://www.cnbc.com/2023/12/06/water-why-a-thirsty-generative-ai-boom-poses-a-problem-for-big-tech.html |access-date=2023-12-12 |website=CNBC}}</ref> is an ongoing period of rapid [[Progress in artificial intelligence|progress in]] the field of [[artificial intelligence]] (AI) that started in the late 2010s before gaining international prominence in late 2022 with the public release of [[ChatGPT]] and [[DeepSeek]] in early 2025.<ref>{{Cite news |last1=Milmo |first1=Dan |last2=Hawkins |first2=Amy |last3=Booth |first3=Robert |last4=Kollewe |first4=Julia |date=2025-01-28 |title='Sputnik moment': $1tn wiped off US stocks after Chinese firm unveils AI chatbot |url=https://www.theguardian.com/business/2025/jan/27/tech-shares-asia-europe-fall-china-ai-deepseek |access-date=2025-04-26 |work=The Guardian |language=en-GB |issn=0261-3077}}</ref> Examples include [[large language model]]s and [[generative AI]] applications developed by [[OpenAI]] as well as [[Protein structure prediction|protein folding prediction]] led by [[Google DeepMind]]. This period is sometimes referred to as an '''AI spring''', to contrast it with previous [[AI winter]]s.<ref>{{cite web | last=Bommasani | first=Rishi | date=March 17, 2023 |url=https://hai.stanford.edu/news/ai-spring-four-takeaways-major-releases-foundation-models | title=AI Spring? Four Takeaways from Major Releases in Foundation Models | publisher=Stanford Institute for Human-Centered Artificial Intelligence | access-date=May 16, 2023 | archive-date=May 7, 2023 | archive-url=https://web.archive.org/web/20230507165115/https://hai.stanford.edu/news/ai-spring-four-takeaways-major-releases-foundation-models | url-status=live }}</ref><ref>{{Cite web |title=The coming of AI Spring |url=https://www.mckinsey.com/mgi/overview/in-the-news/the-coming-of-ai-spring |access-date=2023-12-07 |website=www.mckinsey.com}}</ref>

* [[DeepMind]] solves the [[protein folding problem]] to 90 percent accuracy, a 50-year-old grand challenge, at [[CASP]]14 in 2020.<ref>{{cite journal |title='It will change everything': DeepMind's AI makes gigantic leap in solving protein structures |url=https://www.nature.com/articles/d41586-020-03348-4 |journal=Nature |year=2020 |doi=10.1038/d41586-020-03348-4 |access-date=17 January 2021 |last1=Callaway |first1=Ewen |volume=588 |issue=7837 |pages=203–204 |pmid=33257889 |bibcode=2020Natur.588..203C |s2cid=227243204}}</ref><ref>{{cite web |title=AlphaFold: A Solution to a 50 Year Old Grand Challenge in Biology |url=https://deepmind.com/blog/article/alphafold-a-solution-to-a-50-year-old-grand-challenge-in-biology |website=Deepmind.com |date=30 November 2020 |access-date=17 January 2021}}</ref>
* [[Artificial intelligence art#Text-to-image models|Text-to-image AI art systems]]{{Broken anchor|date=20 April 2024|bot=User:Cewbot/log/20201008/configuration|target_link=Artificial intelligence art#Text-to-image models|reason=Anchor "Artificial intelligence art#Text-to-image models" links to a specific web page: "Text-to-image model". The anchor (Text-to-image models) [[Special:Diff/1128206855|has been deleted]].}} such as [[DALL-E]] (1, 2, and 3) and [[Stable Diffusion]] are capable of generating highly detailed and realistic images from text prompts.
* [[Large language model]]s, like [[OpenAI]]'s [[ChatGPT]], [[Anthropic]]'s [[Claude (language model)|Claude]] and [[Meta Platforms|Meta's]] [[Llama (language model)|Llama]] became widely adopted in 2023 and 2024.<ref>{{Cite news |last=Milmo |first=Dan |date=2023-02-02 |title=ChatGPT reaches 100 million users two months after launch |url=https://www.theguardian.com/technology/2023/feb/02/chatgpt-100-million-users-open-ai-fastest-growing-app |access-date=6 November 2024 |work=[[The Guardian]] |language=en-GB |issn=0261-3077}}</ref>
* In early 2024, OpenAI released a new technology called [[Sora (text-to-video model)]], a video model [[Generative artificial intelligence|generates]] short video clips based on user [[Prompt engineering|prompts]], and can also extend existing short videos. Sora was released publicly for ChatGPT Plus and ChatGPT Pro users in December 2024. This has revolutionized the video industry, since this machine generates videos in shorter time, leading to more companies adopting AI videos, with [[Coca-Cola]] Christmas commercial being the first one to do so.<ref>{{cite magazine|last=Di Placido|first=Dani|date=November 16, 2024|url=https://www.forbes.com/sites/danidiplacido/2024/11/16/coca-colas-ai-generated-ad-controversy-explained/|title=Coca Cola's AI-Generated Ad Controversy, Explained|magazine=[[Forbes]]|access-date=November 19, 2024}}</ref><ref>{{cite news|last=Horvath|first=Bruna|date=November 18, 2024|url=https://www.nbcnews.com/tech/innovation/coca-cola-causes-controversy-ai-made-ad-rcna180665|title=Coca-Cola causes controversy with AI-made ad|publisher=[[NBC News]]|access-date=November 19, 2024}}</ref>