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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Universal Intelligence: A Definition of Machine Intelligence · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/0712.3329/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:16:22 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/0712.3329/feed.xml" rel="self" type="application/rss+xml" /><item><title>Universal Intelligence: A Definition of Machine Intelligence — mentioned by espadrine</title><link>https://news.ycombinator.com/item?id=35313726</link><guid isPermaLink="false">urn:hackerpapers:mention:0712.3329:35313726</guid><pubDate>Sun, 26 Mar 2023 12:26:50 GMT</pubDate><description>&lt;p&gt;&amp;gt; Maybe it is human like intelligence already. It objectively is not. First, intelligence (human or otherwise) is typically defined as the sum of value functions of a given policy across all states, divided by an exponential of the complexity of the environment[0] (page 23). The GPT-4 technical report[1] specifically points out that it is unable to make money when given an initial amount and AWS access (appendix H § 2.9). A human can. Second, let&amp;#x27;s look at it mechanically. It is very easy to anthropomorphize machines, but they are just built differently. Neurons fundamentally are not…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/0712.3329/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.AI</category></item><item><title>Universal Intelligence: A Definition of Machine Intelligence — mentioned by sinenomine</title><link>https://news.ycombinator.com/item?id=32537130</link><guid isPermaLink="false">urn:hackerpapers:mention:0712.3329:32537130</guid><pubDate>Sun, 21 Aug 2022 03:22:24 GMT</pubDate><description>&lt;p&gt;&amp;gt; It is a term gaining in popularity due to this difficult to define definition and allows for more a porn like definition &amp;gt; Philosophers, psychologists, neuroscientists, and many others have been contemplating the definition of intelligence for centuries and we&amp;#x27;re still not -quite there Given the decade-old, seminal, widely cited papers by Legg (co-founder of Deepmind) &amp;amp; Hutter (long-term professor of ANU with multiple awards, currently researcher at Deepmind) titled &amp;quot;Universal Intelligence: A Definition of Machine Intelligence&amp;quot;[1] and &amp;quot;A Collection of Definitions of Intelligence&amp;quot;[2] and the…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/0712.3329/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.AI</category></item><item><title>Universal Intelligence: A Definition of Machine Intelligence — mentioned by VladimirGolovin</title><link>https://news.ycombinator.com/item?id=30875451</link><guid isPermaLink="false">urn:hackerpapers:mention:0712.3329:30875451</guid><pubDate>Fri, 01 Apr 2022 05:28:25 GMT</pubDate><description>&lt;p&gt;Here&amp;#x27;s a definition from Shane Legg and Marcus Hutter: Universal Intelligence: A Definition of Machine Intelligence https://arxiv.org/abs/0712.3329&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/0712.3329/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.AI</category></item><item><title>Universal Intelligence: A Definition of Machine Intelligence — mentioned by Xcelerate</title><link>https://news.ycombinator.com/item?id=30875362</link><guid isPermaLink="false">urn:hackerpapers:mention:0712.3329:30875362</guid><pubDate>Fri, 01 Apr 2022 05:07:57 GMT</pubDate><description>&lt;p&gt;&amp;gt; I will continue dismissing AGI until someone can tell me what GI is Here&amp;#x27;s a rather famous recommendation for a definition of general intelligence: https://arxiv.org/pdf/0712.3329.pdf Very loosely paraphrasing their paper, general intelligence is the ability to adapt to novel situations and predict the future better than any other algorithm could do. Personally, I think of perfect AGI as this: given that our universe is capable of approximation to arbitrary precision using a universal Turing machine (and infinite time and memory), AGI is the best* computable approximation to Solomonoff…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/0712.3329/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.AI</category></item><item><title>Universal Intelligence: A Definition of Machine Intelligence — mentioned by WithinReason</title><link>https://news.ycombinator.com/item?id=30009408</link><guid isPermaLink="false">urn:hackerpapers:mention:0712.3329:30009408</guid><pubDate>Thu, 20 Jan 2022 14:37:23 GMT</pubDate><description>&lt;p&gt;&amp;gt; There is a body of thousands of scientific studies discussing what intelligence means Which don&amp;#x27;t agree on a single definition. See for example: https://arxiv.org/abs/0712.3329&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/0712.3329/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.AI</category></item><item><title>Universal Intelligence: A Definition of Machine Intelligence — mentioned by xamuel</title><link>https://news.ycombinator.com/item?id=19255607</link><guid isPermaLink="false">urn:hackerpapers:mention:0712.3329:19255607</guid><pubDate>Tue, 26 Feb 2019 16:24:49 GMT</pubDate><description>&lt;p&gt;&amp;gt;Practical intelligence is clearly multidimensional I wouldn&amp;#x27;t call that clear at all! Of course no matter how intelligent a person is, there will be environments in which they do poorly. Feynman would do poorly in the environment called, &amp;quot;Everyone find Feynman and beat him up&amp;quot;. But that environment is very contrived, or, more formally, has a high Kolmogorov complexity. Legg and Hutter argue quite strongly for single-dimensional practical intelligence in this paper (I don&amp;#x27;t agree with their reasoning, but the point is that it&amp;#x27;s definitely not blatantly &amp;quot;clear&amp;quot; that practical intelligence is…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/0712.3329/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.AI</category></item><item><title>Universal Intelligence: A Definition of Machine Intelligence — mentioned by 995533</title><link>https://news.ycombinator.com/item?id=18726360</link><guid isPermaLink="false">urn:hackerpapers:mention:0712.3329:18726360</guid><pubDate>Thu, 20 Dec 2018 16:37:50 GMT</pubDate><description>&lt;p&gt;Shane Legg (co-founder DeepMind) and Marcus Hutter (Schmidhuber pedigree) defined machine intelligence in this canonical paper from 2007: https://arxiv.org/abs/0712.3329 &amp;gt; Universal Intelligence: A Definition of Machine Intelligence &amp;gt; A fundamental problem in artificial intelligence is that nobody really knows what intelligence is. The problem is especially acute when we need to consider artificial systems which are significantly different to humans. In this paper we approach this problem in the following way: We take a number of well known informal definitions of human intelligence that have…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/0712.3329/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.AI</category></item><item><title>Universal Intelligence: A Definition of Machine Intelligence — mentioned by goolulusaurs</title><link>https://news.ycombinator.com/item?id=17788664</link><guid isPermaLink="false">urn:hackerpapers:mention:0712.3329:17788664</guid><pubDate>Sat, 18 Aug 2018 14:42:25 GMT</pubDate><description>&lt;p&gt;Well, this seems to be the definition Deepmind uses: https://arxiv.org/abs/0712.3329 . And there has been work to establish a quantitative measure of the extent to which an agents behavior is intelligent or mechanical: https://arxiv.org/abs/1805.12387 .&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/0712.3329/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.AI</category></item><item><title>Universal Intelligence: A Definition of Machine Intelligence — mentioned by cgmg</title><link>https://news.ycombinator.com/item?id=16143400</link><guid isPermaLink="false">urn:hackerpapers:mention:0712.3329:16143400</guid><pubDate>Sun, 14 Jan 2018 08:58:36 GMT</pubDate><description>&lt;p&gt;&amp;gt; the assumption that humans have it [general intelligence] is a conceit without convincing evidence Why do you make this claim? Engineering, science, and mathematics are all convincing evidence that humans have general intelligence. Humans also score highly in measures of intelligence like https://arxiv.org/abs/0712.3329.&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/0712.3329/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.AI</category></item><item><title>Universal Intelligence: A Definition of Machine Intelligence — HN submission</title><link>https://news.ycombinator.com/item?id=15517394</link><guid isPermaLink="false">urn:hackerpapers:submission:0712.3329:15517394</guid><pubDate>Fri, 20 Oct 2017 17:10:41 GMT</pubDate><description>&lt;p&gt;Universal Intelligence: A Definition of Machine Intelligence (2007)&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;2 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/0712.3329/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.AI</category></item><item><title>Universal Intelligence: A Definition of Machine Intelligence — mentioned by cgmg</title><link>https://news.ycombinator.com/item?id=15158646</link><guid isPermaLink="false">urn:hackerpapers:mention:0712.3329:15158646</guid><pubDate>Sat, 02 Sep 2017 22:50:27 GMT</pubDate><description>&lt;p&gt;Hutter, Schmidhuber, et al. have done some very interesting work on this: https://arxiv.org/abs/0712.3329&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/0712.3329/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.AI</category></item><item><title>Universal Intelligence: A Definition of Machine Intelligence — mentioned by mafribe</title><link>https://news.ycombinator.com/item?id=13909425</link><guid isPermaLink="false">urn:hackerpapers:mention:0712.3329:13909425</guid><pubDate>Sun, 19 Mar 2017 20:27:56 GMT</pubDate><description>&lt;p&gt;One of the co-founders of DeepMind (Shane Legg) has provided the following definition of intelligence: &amp;quot;Intelligence measures an agent’s ability to achieve goals in a wide range of environments&amp;quot; in [1]. This definition has been pretty influential, and in the sense of this definition, AlphaGo is not AI. But it is a great step towards AI. [1] S. Legg, M. Hutter, Universal Intelligence: A Definition of Machine Intelligence. https://arxiv.org/abs/0712.3329&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/0712.3329/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.AI</category></item><item><title>Universal Intelligence: A Definition of Machine Intelligence — mentioned by tfgg</title><link>https://news.ycombinator.com/item?id=12385332</link><guid isPermaLink="false">urn:hackerpapers:mention:0712.3329:12385332</guid><pubDate>Mon, 29 Aug 2016 21:07:31 GMT</pubDate><description>&lt;p&gt;&amp;gt; consciousness and insight Being unmeasurable and undefined, and therefore irrelevant to measures of intelligence, &amp;quot;consciousness&amp;quot; is typically not considered part of AGI [1]. Not sure what you mean by &amp;quot;insight&amp;quot;. [1] http://arxiv.org/abs/0712.3329&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/0712.3329/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.AI</category></item><item><title>Universal Intelligence: A Definition of Machine Intelligence — mentioned by jonmc12</title><link>https://news.ycombinator.com/item?id=12314022</link><guid isPermaLink="false">urn:hackerpapers:mention:0712.3329:12314022</guid><pubDate>Thu, 18 Aug 2016 16:39:09 GMT</pubDate><description>&lt;p&gt;Cool paper! learned a lot about shared beliefs. But I was asking myself &amp;quot;why is 50k traders using similar trading patterns an example of collective intelligence&amp;quot;? I expected an example of a collective accomplishing a group goal as opposed to optimizing individual ability to accomplish goals. Noted in first paragraph: &amp;quot;we still lack a coherent formal perspective on what human collective intelligence actually is&amp;quot;. But, why not reference the closest definition or propose your own rigorous definition of collective intelligence to ground assumptions in the paper? For instance, in 2007 Legg and…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/0712.3329/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.AI</category></item><item><title>Universal Intelligence: A Definition of Machine Intelligence — HN submission</title><link>https://news.ycombinator.com/item?id=11901242</link><guid isPermaLink="false">urn:hackerpapers:submission:0712.3329:11901242</guid><pubDate>Tue, 14 Jun 2016 11:29:32 GMT</pubDate><description>&lt;p&gt;Universal Intelligence: A Definition of Machine Intelligence&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;4 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/0712.3329/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.AI</category></item><item><title>Universal Intelligence: A Definition of Machine Intelligence — mentioned by chriswarbo</title><link>https://news.ycombinator.com/item?id=9110741</link><guid isPermaLink="false">urn:hackerpapers:mention:0712.3329:9110741</guid><pubDate>Thu, 26 Feb 2015 00:47:17 GMT</pubDate><description>&lt;p&gt;The No Free Lunch Theorems don&amp;#x27;t apply in reality anyway, as explained at https://en.wikipedia.org/wiki/No_free_lunch_in_search_and_op... Essentially: NFL says the performance (1 / number of trials are required to find a solution), when averaged over all fitness functions, will be the same for all optimisation algorithms. However, most fitness functions require more computational power than the Universe to evaluate; making even a single trial impossible to perform. Since those problems are already impossible, it doesn&amp;#x27;t matter how many trials our optimisation algorithm would require when…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/0712.3329/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.AI</category></item></channel></rss>
