Timeline of AI timelines
From Timelines
This is a timeline of AI timelines, the study of advances in artificial intelligence, in particular when artificial general intelligence will be created.
Contents
Big picture
Time period | Development summary | More details |
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Full timeline
Year of prediction | Predicted year | Predictor | Details |
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1950 | 2000 | In his paper, often regarded as an AI manifesto, Alan Turing foresees a future where computers, by the year 2000, would possess the capability to respond to questions posed by humans in a manner indistinguishable from human responses.[1] | |
1965 | 1985 | Herbert A. Simon | AI pioneer Herbert A. Simon writes: "machines will be capable, within twenty years, of doing any work a man can do."[2] |
1965 | 2000 | Irving John Good | Irving John Good predicts an ultraintelligent machine by 2000. |
1988 | 2010 | Hans Moravec | Hans Moravec writes:
Behold my book Mind Children. Within, I project that, in 2010 or thereabouts, we shall achieve strong AI. I am not calling it “Artificial General Intelligence” because this term will not be coined for another 15 years or so.[3] |
1997 | The term "artificial general intelligence" is probably first used by Mark Gubrud in a discussion of the implications of fully automated military production and operations.[4] | ||
2001 | 2023, 2049, 2059 | Ray Kurzweil | Ray Kurzweil writes:
I have calculated that matching the intelligence of a human brain requires 2 * 10^16 ops/sec* and this will become available in a $1000 computer in 2023. 26 years after that, in 2049, a $1000 computer will have ten billion times more computing power than a human brain; and in 2059, that computer will cost one cent.[3] |
2011 (January) | 2050 | The Future of Humanity Institute conducts the Winter Intelligence Survey during their AGI impacts conference. Participants estimate a median likelihood of 50% for human-level AI development by the year 2050. The survey includes questions about the probabilities of achieving human-level machine intelligence by specific years. Responses variy, with a 10% chance estimated around 2015-2030, a 50% chance around 2040-2080, and a 90% chance around 2100-2250. The participants, primarily experts in AI and related fields, are highly interested in AI's impact, and their responses indicate a range of expectations regarding AI development timelines.[5][6] | |
2011 (August) | <2030 | The AGI-11 survey is conducted at the AGI-11 conference with 60 participants, revealing that nearly half of the respondents believe Artificial General Intelligence (AGI) would be achieved before 2030. Additionally, almost 90% anticipate AGI appearing before 2100, and around 85% believe it would benefit humanity. The survey, consisting of two questions, is conducted by James Barrat and Ben Goertzel. Despite some concerns about the survey structure expressed in comments, the results are consistent with a majority expecting AGI to be implemented in the near future and to have positive implications for humankind.[7][8] | |
2012–2013 | 2040 | Vincent Müller and Nick Bostrom from FHI conduct a survey involving four different sets of AI experts between 2012 and 2013. Collectively, the experts estimate a 10% probability of achieving human-level AI by 2022 and a 50% probability by 2040.[9] | |
2016 (March) | >2041 | Association for the Advancement of Artificial Intelligence fellows | Oren Etzioni conducts a survey among 193 AAAI fellows, prominent figures in the field of artificial intelligence. The survey asks about the achievement of 'Superintelligence,' defined as intellect surpassing human capabilities in various fields. Out of the 80 responses (a 41% response rate), 67.5% believe that Superintelligence would be achieved, but in more than 25 years. None expects it within the next 10 years, 7.5% think it might happen in the next 10-25 years, and 25% believes it would never occur.[10] |
2016 (June 9) | Bill Gates says that achieving “human-level” AI will take “at least 5 times as long as what Ray Kurzweil says.[11] | ||
2017 (January–February) | 2026 | Professor Toby Walsh conducts a survey involving 849 participants, including AI experts, robotics experts, and non-experts. The respondents classify 70 occupations as either at risk or not of automation within the next two decades. The survey uses machine learning rankings for these occupations. Additionally, participants predict the arrival of high-level machine intelligence (HLMI) - defined as computers performing human professions as well as humans - by selecting specific years with different probabilities. Median responses indicate varying estimates among the groups for the potential automation of occupations and the timeline for HLMI arrival. Non-Experts estimate a 10% probability of HLMI by 2026.[12] | |
2017 (January–February) | 2060 | Non-Experts estimate a 90% probability of HLMI by 2060 in the Walsh 2017 survey. The group of non-experts includes 548 individuals who read an article about AI on The Conversation website. Although specific data about their expertise in AI or robotics is not gathered, Toby Walsh indicates that it is safe to assume that the majority are not experts in the AI or robotics fields and are unlikely to publish in prominent conferences like IJCAI, AAAI, or ICRA.[12] | |
2017 (January–February) | 2109 | AI Experts estimate a 90% probability of HLMI by 2109.[12] | |
2017 (January–February) | 2118 | Electrical and Electronics Engineers (IEEE) Robotics & Automation Society fellows | Robotics experts estimate a 90% probability of HLMI by 2118. The group of robotics experts comprises 101 members, all of whom are either distinguished Fellows of the Institute for Electrical and Electronics Engineers (IEEE) Robotics & Automation Society or contributors to the 2016 IEEE Conference on Robotics & Automation (ICRA).[12] |
2017 | A study finds 50% of AI researchers accord a 50% probability to "High level machine intelligence" (HLMI) by 2040, while 20% say that 50% probability will not be reached until 2100 or later. The survey finds an aggregated probability distribution with a 25%-75% confidence interval ranging from 2040 to well past 2100.[13][14] | ||
2021 (August 17) | 2036, 2060, 2100 | Holden Karnofsky | Holden Karnofsky predicts: "there's more than a 10% chance of ... PASTA-like "transformative AI" within 15 years (by 2036); a ~50% chance we'll see it within 40 years (by 2060); and a ~2/3 chance we'll see it this century (by 2100)."[15] |
2022 (May 30) | 2029 | Elon Musk | Elon Musk tells Jack Dorsey via tweet that AGI would be achieved by 2029.[16] Gary Marcus would criticize this, challenging Musk to a $100,000 bet.[17] |
2022 (June–August) | 2059 | The 2022 Expert Survey on Progress in AI (ESPAI) conducted by AI Impacts analyzes responses from 738 machine learning researchers. The survey aims to predict advancements in high-level machine intelligence (HLMI). Based on the data, the median prediction for a 50% chance of HLMI is 37 years, approximately in 2059. This represents a decrease of about eight years from 2016's prediction, with the caveat that human scientific activity must continue without major disruption. Concerning the impact of advanced AI on humanity, the median respondent believes there is a 5% chance of an extremely negative outcome, such as human extinction. Additionally, 69% of participants indicate that society should prioritize AI safety research more than current efforts. Most respondents (54%) think there is an "about even chance" that arguments for an intelligence explosion are correct.[18] | |
2023 (November 29) | 2026 | Elon Musk | In an interview, Elon Musk provides a three-year timeline for when artificial intelligence (AI) would surpass the intelligence of the smartest human.[19] |
Meta information on the timeline
How the timeline was built
The initial version of the timeline was written by Sebastian.
Funding information for this timeline is available.
Feedback and comments
Feedback for the timeline can be provided at the following places:
- FIXME
What the timeline is still missing
- Progress in artificial intelligence
- Sebastian: https://time.com/6556168/when-ai-outsmart-humans/
- Sebastian: https://medium.com/accelerated-intelligence/top-ai-experts-predict-artificial-superintelligence-in-3-5-years-now-what-fbfe00204c7f
- Sebastian: https://research.aimultiple.com/artificial-general-intelligence-singularity-timing/
- Sebastian: https://www.theguardian.com/technology/2024/feb/17/humanitys-remaining-timeline-it-looks-more-like-five-years-than-50-meet-the-neo-luddites-warning-of-an-ai-apocalypse
- Sebastian: https://techcrunch.com/2024/03/19/agi-and-hallucinations/?fbclid=IwAR2_TayMg3U_HrIk21tXokSeTiOAkvnF5pU8KjkS9b_AHoVcQVOpxTnCH6g
- probably go back to people like Turing✔, IJ Good, or whoever who first came up with ideas around AGI; what did they say about when it would be created?
- dartmouth conference and initial optimistic ideas on when AGI would be created
- would be cool to include the various "standalone"/"self-contained" AI timeline methods and when they were first used https://wiki.issarice.com/wiki/Category:AI_timelines_arguments
- https://openai.com/blog/ai-and-compute/ -- this was quite an influential blog post in LW/EA communities
- https://www.gwern.net/Scaling-hypothesis -- this page has a lot of details on scaling laws
- what are the various AI benchmarks and how do progress on those benchmarks look like?
- the stuff in this blog post (especially the stuff in the table) https://www.cold-takes.com/where-ai-forecasting-stands-today/
- this thread might be notable https://www.greaterwrong.com/posts/hQysqfSEzciRazx8k/forecasting-thread-ai-timelines
- look through posts here https://www.greaterwrong.com/tag/ai-timelines to see if any seem important
- similarly, check https://forum.effectivealtruism.org/topics/ai-forecasting
- maybe look at https://www.greaterwrong.com/s/B9Qc8ifidAtDpsuu8
- controversy like https://www.lesswrong.com/posts/KnQs55tjxWopCzKsk/the-ai-timelines-scam
- https://www.lesswrong.com/posts/ax695frGJEzGxFBK4/biology-inspired-agi-timelines-the-trick-that-never-works
- look at metaculus threads and how predictions have changed over time e.g. [1], [2], [3]
- something something gary marcus
- https://intelligence.org/2017/10/13/fire-alarm/
- probably include some famous people's views like Bill Gates https://lukemuehlhauser.com/bill-gates-on-ai-timelines/
- https://en.wikipedia.org/wiki/Ray_Kurzweil#Predictions
- might be able to copy some rows from Timeline of artificial intelligence, Timeline of AI safety, Timeline of machine learning
- the AI Impacts experts survey paper from 2016 https://arxiv.org/pdf/1705.08807.pdf
- look through posts at https://aiimpacts.org/category/ai-timelines/
- https://thenextweb.com/news/what-is-the-technological-singularity#.tnw_4ol0E0Vr
- https://voicebot.ai/2023/08/16/generative-ai-revenue-will-reach-1-3t-in-2032-chart/
- https://www.knowyourmobile.com/ai-intelligence/ai-2033-a-glimpse-into-the-future-of-artificial-intelligence/ (2033)
Timeline update strategy
See also
External links
References
- ↑ "3 Things Alan Turing Never Imagined". CMSWire.com. Retrieved 26 October 2023.
- ↑ Simon 1965, p. 96 quoted in Crevier 1993, p. 109
- ↑ 3.0 3.1 "Biology-Inspired AGI Timelines: The Trick That Never Works". www.greaterwrong.com. Retrieved 16 July 2022.
- ↑ Gubrud 1997
- ↑ "FHI Winter Intelligence Survey". AI Impacts. 29 December 2014. Retrieved 26 October 2023.
- ↑ "Machine Intelligence Survey" (PDF). fhi. Retrieved 12 August 2022.
- ↑ "AGI-11 survey". AI Impacts. 10 November 2018. Retrieved 26 October 2023.
- ↑ "The Fourth Conference on Artificial General Intelligence". agi-conference.org. Retrieved 26 October 2023.
- ↑ "Müller and Bostrom AI Progress Poll". AI Impacts. 29 December 2014. Retrieved 12 August 2022.
- ↑ "The AAAI Fellows Program". AAAI. Retrieved 26 October 2023.
- ↑ "Bill Gates on AI timelines". lukemuehlhauser.com. Retrieved 12 August 2022.
- ↑ 12.0 12.1 12.2 12.3 "Walsh 2017 survey". AI Impacts. 24 December 2019. Retrieved 26 October 2023.
- ↑ "When will the first weakly general AI system be devised, tested, and publicly announced?". www.metaculus.com. 18 January 2020. Retrieved 12 August 2022.
- ↑ "Expert and Non-Expert Opinion about Technological Unemployment" (PDF). arxiv.org. Retrieved 12 August 2022.
- ↑ "A public prediction by Holden Karnofsky". www.metaculus.com. 2 January 2022. Retrieved 12 August 2022.
- ↑ "https://twitter.com/elonmusk/status/1531328534169493506". Twitter. Retrieved 12 August 2022. External link in
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(help) - ↑ Daws, Ryan (1 June 2022). "Gary Marcus criticises Elon Musk's AGI prediction". AI News. Retrieved 12 August 2022.
- ↑ "2022 Expert Survey on Progress in AI". AI Impacts. 4 August 2022. Retrieved 12 August 2022.
- ↑ Kastrenakes, Jacob (29 November 2023). "Musk thinks we're three years from super intelligent AI.". The Verge. Retrieved 20 April 2024.