Machine Learning Times
EXCLUSIVE HIGHLIGHTS
Jev AI Will Make You Money – But Exactly How Much?
  Originally published in Forbes As I covered recently, Jev...
Jev Fever: Predictive AI Is Superhot Again
  Originally published in Forbes The more AI changes, the...
GenAI Owns the Hype, but Predictive AI Is Thriving
  EDITOR’S NOTE: This article is adapted from the...
The Data Disconnect: A Key Challenge for Machine Learning Deployment
  EDITOR’S NOTE: This article is excerpted from The...
SHARE THIS:

4 years 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

This content is restricted to site members. If you are an existing user, please log in on the right (desktop) or below (mobile). If not, register today and gain free access to original content and industry news. See the details here.

Comments are closed.