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Artificial general intelligence
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== Terminology == AGI is also known as strong AI,{{Sfn|Kurzweil|2005|p=260}}<ref name="Kurzweil 2005-08-05">{{Citation |last=Kurzweil |first=Ray |title=Long Live AI |date=5 August 2005 |work=[[Forbes]] |url=https://www.forbes.com/home/free_forbes/2005/0815/030.html |url-status=dead |archiveurl=https://web.archive.org/web/20050814000557/https://www.forbes.com/home/free_forbes/2005/0815/030.html |archivedate=2005-08-14 |ref=none}}: Kurzweil describes strong AI as "machine intelligence with the full range of human intelligence."</ref> full AI,<ref>{{Cite web |title=The Age of Artificial Intelligence: George John at TEDxLondonBusinessSchool 2013 |url=http://tedxtalks.ted.com/video/The-Age-of-Artificial-Intellige |url-status=live |archive-url=https://web.archive.org/web/20140226123940/http://tedxtalks.ted.com/video/The-Age-of-Artificial-Intellige |archive-date=26 February 2014 |access-date=22 February 2014}}</ref> human-level AI,<ref name=":22">{{Cite web |title=AI timelines: What do experts in artificial intelligence expect for the future? |url=https://ourworldindata.org/ai-timelines |access-date=2023-04-06 |website=Our World in Data|date=7 February 2023 |last1=Roser |first1=Max }}</ref> human-level intelligent AI, or general intelligent action.{{Sfn|Newell|Simon|1976|ps=, This is the term they use for "human-level" intelligence in the [[physical symbol system]] hypothesis.}} Some academic sources reserve the term "strong AI" for computer programs that will experience [[sentience]] or [[consciousness]].{{Efn|name="Searle's Strong AI"|See below for the origin of the term "strong AI", and see the academic definition of "[[Chinese room#Strong AI|strong AI]]" and weak AI in the article [[Chinese room]].}} In contrast, weak AI (or narrow AI) is able to solve one specific problem but lacks general cognitive abilities.<ref>{{Cite web |title=The Open University on Strong and Weak AI |url=http://www.open2.net/nextbigthing/ai/ai_in_depth/in_depth.htm |url-status=dead |archive-url=https://web.archive.org/web/20090925043908/http://www.open2.net/nextbigthing/ai/ai_in_depth/in_depth.htm |archive-date=25 September 2009 |access-date=8 October 2007}}</ref><ref name="Kurzweil 2005-08-05"/> Some academic sources use "weak AI" to refer more broadly to any programs that neither experience consciousness nor have a mind in the same sense as humans.{{Efn|name="Searle's Strong AI"}} Related concepts include artificial [[superintelligence]] and transformative AI. An artificial superintelligence (ASI) is a hypothetical type of AGI that is much more generally intelligent than humans,<ref>{{Cite web |title=What is artificial superintelligence (ASI)? {{!}} Definition from TechTarget |url=https://www.techtarget.com/searchenterpriseai/definition/artificial-superintelligence-ASI |access-date=2023-10-08 |website=Enterprise AI |language=en}}</ref> while the notion of transformative AI relates to AI having a large impact on society, for example, similar to the agricultural or industrial revolution.<ref>{{Cite web |title=Artificial intelligence is transforming our world β it is on all of us to make sure that it goes well |url=https://ourworldindata.org/ai-impact |access-date=2023-10-08 |website=Our World in Data|date=15 December 2022 |last1=Roser |first1=Max }}</ref> A framework for classifying AGI by performance and autonomy was proposed in 2023 by [[Google DeepMind]] researchers. They define five performance levels of AGI: emerging, competent, expert, virtuoso, and superhuman. For example, a competent AGI is defined as an AI that outperforms 50% of skilled adults in a wide range of non-physical tasks, and a superhuman AGI (i.e. an artificial superintelligence) is similarly defined but with a threshold of 100%. They consider large language models like [[ChatGPT]] or [[LLaMA|LLaMA 2]] to be instances of emerging AGI (comparable to unskilled humans). Regarding the autonomy of AGI and associated risks, they define five levels: tool (fully in human control), consultant, collaborator, expert, and agent (fully autonomous).<ref>{{Cite news |last=Dickson |first=Ben |date=November 16, 2023 |title=Here is how far we are to achieving AGI, according to DeepMind |url=https://venturebeat.com/ai/here-is-how-far-we-are-to-achieving-agi-according-to-deepmind/ |work=VentureBeat}}</ref>
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