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EVP Sales of MindTouch. Mark has advised many start ups including a social networking site that was sold to Barry Diller's IAC.  Before joining MindTouch, Mark led global sales efforts as an Executive Vice President for a publicly traded company, headed sales efforts for a technology division of AT Kearney and EDS, and served as Vice President of Sales and Marketing for a Singapore based corporation. Mark blogs at Seek Omega

2 responses to “Why IBM’s Watson Computer is Still a Moron”

  1. Erix

    You wrote: “… Making intelligent decisions for humans requires being human…”

    One could easily object that most human beings are not able to make intelligent decisions, but that is not the point.

    If – then logic ??? Seems your knowledge of AI programming (and programming in general) is somewhat outdated and limited. Dealing with complex emotions and social behaviors is at the heart of modern AI.

    You should read some articles about how Watson has been designed before making such statements.

    And it seems to me you’re missing the point about what modern AI is trying to achieve.
    It is not trying to solve complex problems, but simple ones, allowing us to focus on what is really important. And even that is not simple.

    With regards to that, Jeopardy is probably a good test for computers.

    Kind regards, Erix.

  2. Mark Fidelman

    Thanks Erix, ahem modern AI? If Watson is modern AI then the AI industry has a PR problem. In my humble opinion, Watson is about as close to human related AI as we are to understanding the creation of the universe. Watson is at best a watered down definition of a human AI system.

    Not “if – then”? Here’s the source on how Watson decides: Please tell us how Watson is then determining its decision if not from multiple if/then programming? It’s not deciding from intuition. It’s not deciding from experience. It’s running multiple algorithms in linear fashion and comparing the most likely results. Each step is an if/then decision.

    In the end it’s just math. All Watson is doing is running impressive algorithms to determine the most likely answer. It doesn’t UNDERSTAND what it’s deciding. And that’s the rub.