<p>Good question!</p>

<ul>
<li>AlphaZero, though a major milestone, is most definitely <em>not</em> an AGI :)</li>
</ul>

<p>AlphaGo, though strong at the game of Go, is <em>narrowly strong</em> ("strong-narrow AI"), defined as strength in a single problem or type of problem (such as Go and other non-chance, perfect information games.) </p>

<ul>
<li>AGI, at minimum, must be about as strong as humans in <em>all</em> problems worked on or solved by humans.  </li>
</ul>

<p>AGI is often associated with <a href="https://en.wikipedia.org/wiki/Superintelligence" rel="noreferrer">superintelligence</a>, defined as intelligence that surpasses human levels.</p>

<p>AGI does not necessarily imply super-intelligence, in the sense that we'd consider an android that can perform all human activities with the same capability as humans as an <a href="https://en.wikipedia.org/wiki/Artificial_general_intelligence" rel="noreferrer">Artificial General Intelligence</a>.  </p>

<p>But technically, AlphaGo is a narrow superintelligence in that it exceeds all human performance in a single problem.</p>

CC BY-SA 4.0
2021-12-20T00:17:56.273Z
I do not disagree with you, but your answer seems to be about AlphaGo Zero rather than AlphaZero, which is still narrow, but not nearly as narrow as AlphaGo.
David Hoelzer
CC BY-SA 4.0
2022-10-11T19:32:39.283Z
AlphaZero domain is very narrow.  Can't read text.  Doesn't do calculus.  Can't do scrabble or jeopardy.  [AlphaTensor](https://www.deepmind.com/blog/discovering-novel-algorithms-with-alphatensor) is starting in on linear algebra, but it takes a very particular (simplified [gridworld-style](https://www.researchgate.net/publication/351026848_Reward_Shaping_Based_Federated_Reinforcement_Learning) ) game formulation.
EngrStudent
CC BY-SA 4.0
2018-11-26T02:36:15.403Z
2018-11-29T21:30:54.587Z
2018-11-29T21:30:54.587Z
DukeZhou
<p>From DeepMind's <a href="https://arxiv.org/pdf/1712.01815.pdf" rel="noreferrer">research paper</a> on arxiv.org:</p>

<blockquote>
  <p>In this paper, we apply a similar but fully generic algorithm, which
  we call <em>AlphaZero</em>, to the games of chess and shogi as well as Go,
  without any additional domain knowledge except the rules of the game,
  demonstrating that a general-purpose reinforcement learning algorithm
  can achieve, tabula rasa, superhuman performance across many
  challenging domains.</p>
</blockquote>

<p>Does this mean AlphaZero is an example of AGI (Artificial General Intelligence)?</p>

<game-ai><definitions><agi><alphazero><alphago>
Is AlphaZero an example of an AGI?
Siddhartha
# Is AlphaZero an example of an AGI?

(Asked by: username_0 on 2018-11-26)

From DeepMind's [research paper](https://arxiv.org/pdf/1712.01815.pdf) on arxiv.org:

> In this paper, we apply a similar but fully generic algorithm, which
> we call *AlphaZero*, to the games of chess and shogi as well as Go,
> without any additional domain knowledge except the rules of the game,
> demonstrating that a general-purpose reinforcement learning algorithm
> can achieve, tabula rasa, superhuman performance across many
> challenging domains.

Does this mean AlphaZero is an example of AGI (Artificial General Intelligence)?

**Tags:** game-ai, definitions, agi, alphazero, alphago


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## 1 answers

### Answer by username_1 on 2018-11-26. Score: 14 | Accepted answer

Good question!

* AlphaZero, though a major milestone, is most definitely *not* an AGI :)

AlphaGo, though strong at the game of Go, is *narrowly strong* ("strong-narrow AI"), defined as strength in a single problem or type of problem (such as Go and other non-chance, perfect information games.)

* AGI, at minimum, must be about as strong as humans in *all* problems worked on or solved by humans.

AGI is often associated with [superintelligence](https://en.wikipedia.org/wiki/Superintelligence), defined as intelligence that surpasses human levels.

AGI does not necessarily imply super-intelligence, in the sense that we'd consider an android that can perform all human activities with the same capability as humans as an [Artificial General Intelligence](https://en.wikipedia.org/wiki/Artificial_general_intelligence).

But technically, AlphaGo is a narrow superintelligence in that it exceeds all human performance in a single problem.

> **Comments:**
> **username_2**: I do not disagree with you, but your answer seems to be about AlphaGo Zero rather than AlphaZero, which is still narrow, but not nearly as narrow as AlphaGo.  
> **username_3**: AlphaZero domain is very narrow.  Can't read text.  Doesn't do calculus.  Can't do scrabble or jeopardy.  [AlphaTensor](https://www.deepmind.com/blog/discovering-novel-algorithms-with-alphatensor) is starting in on linear algebra, but it takes a very particular (simplified [gridworld-style](https://www.researchgate.net/publication/351026848_Reward_Shaping_Based_Federated_Reinforcement_Learning) ) game formulation.  

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