Machine Learning Times
Machine Learning Times
Elon Musk Predicts Artificial General Intelligence In 2 Years. Here’s Why That’s Hype
 Originally published in Forbes, April 10, 2024 When OpenAI’s...
Survey: Machine Learning Projects Still Routinely Fail to Deploy
 Originally published in KDnuggets. Eric Siegel highlights the chronic...
Three Best Practices for Unilever’s Global Analytics Initiatives
    This article from Morgan Vawter, Global Vice...
Getting Machine Learning Projects from Idea to Execution
 Originally published in Harvard Business Review Machine learning might...

1 year ago
ChapGPT Doesn’t “Know” But It Can Tell

  Polanyi’s paradox, named in honor of the philosopher and polymath Michael Polanyi, states, “we know more than we can tell.” [1] He means that most of our knowledge is tacit and cannot be easily formalized with words.[2] In The Tacit Dimension, Polanyi gives the example of recognizing a face without being able to tell what facial features humans use to make such a distinction. The example of recognizing a face without being able to tell how describes Gestalt psychology which emerged in the early twentieth century as a theory of perception that rejected the basic principles of

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