Answers.Body: <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>
  
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Answers.Text: 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.
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Answers.Text: 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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Body: <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>
  
Tags: <game-ai><definitions><agi><alphazero><alphago>
Title: Is AlphaZero an example of an AGI?
UserDisplayName: Siddhartha
ThreadText: # 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
  
  
  ---
  
  ## 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.  
  
  ---
  
  