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    AI technologies, including IBM Watson and Google AlphaGo, struggle to process language the way that humans do because the large majority of the current implementations approach text as data, not as language. They apply the same techniques that worked on spatial data to text. Many AIs that appear to understand language and that score better than humans on a common set of comprehension tasks don’t notice when the words in a sentence are jumbled up, which shows that they don’t really understand language at all. Another reason for this is insufficient training data.
    MIT Technology Review+2
    Context, Language, and Reasoning in AI: Three Key Challenges
    Today’s AI technologies, including those IBM Watson and Google AlphaGo, struggle to process language the way that humans do. That’s because the large majority of the current implem…
    MIT Technology Review
    https://www.technologyreview.com/2016/10/14/156968/context-language-and-reasoning-in-ai-three-key-challenges/
    Jumbled-up sentences show that AIs still don’t really understand ...
    Many AIs that appear to understand language and that score better than humans on a common set of comprehension tasks don’t notice when the words in a sentence are jumbled up, which…
    MIT Technology Review
    https://www.technologyreview.com/2021/01/12/1016031/jumbled-up-sentences-ai-doesnt-understand-language-nlp-bert-fix/
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    If AI image generators are so smart, why do they struggle to write and ...
    The main reason for this is insufficient training data. AI image generators require much more training data to accurately represent text and quantities than they do for other tasks…
    The Conversation
    https://theconversation.com/if-ai-image-generators-are-so-smart-why-do-they-struggle-to-write-and-count-208485
    MIT Technology Review
    MIT Technology Review
    The Conversation
    MIT Technology Review
    https://www.technologyreview.com/2016/10/14/156968/context-language-and-reasoning-in-ai-three-key-challenges/
    Context, Language, and Reasoning in AI: Three Key Challenges
    Today’s AI technologies, including those IBM Watson and Google AlphaGo, struggle to process language the way that humans do. That’s because the large majority of the current implem…
    MIT Technology Review
    https://www.technologyreview.com/2021/01/12/1016031/jumbled-up-sentences-ai-doesnt-understand-language-nlp-bert-fix/
    Jumbled-up sentences show that AIs still don’t really understand ...
    Many AIs that appear to understand language and that score better than humans on a common set of comprehension tasks don’t notice when the words in a sentence are jumbled up, which…
    The Conversation
    https://theconversation.com/if-ai-image-generators-are-so-smart-why-do-they-struggle-to-write-and-count-208485
    If AI image generators are so smart, why do they struggle to write and ...
    The main reason for this is insufficient training data. AI image generators require much more training data to accurately represent text and quantities than they do for other tasks…
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