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Understanding machine learning models
Improving data analysis and decision-making
How Google uses logic in machine learning
A few years back, a former Microsoft intern named Nabil Hossain and a pair of Microsoft AI researchers developed a machine learning system to generate humorous headlines from existing news articles.
The big idea was that the AI would make microedits by changing a single word in a serious headline to make it a funny one.
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AI can’t be funny. Funny as interpreted by the recipient of a joke is subjective. And funny as an intended construct requires intent.
Just like fashion, being funny is as complex as the people you surround yourself with. What a group of AI devs might find funny or fashionable will likely di...
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Jokes can be reduced to formulas. Just about anything can be reduced to a formula, but “funny” isn’t a thing. It’s a perception. Just like you can’t hand me an ounce of satisfaction or purchase a mile’s worth of courage, you can’t quantitatively produce funniness in a lab.
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The AI picks a noun or verb from a headline and replaces it with a word that can be objectively quantified as humorous.
So here’s the simple answer to the question of whether AI can be funny or not: If you get to define what is and isn’t funny, sure. AI can be just as funny as you decide it...
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Robots don’t have personalities, ideas, thoughts, or desires. Any human-like qualities we could attribute to a machine or its output are merely reflections of ourselves or its programmers.
That doesn’t sit well with the mainstream perceptions of AI. Thousands of articles promise a near-futu...
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Most of what AI does is prestidigitation. That’s because there’s only a handful of things a typical deep learning system can actually do. Much like a real-world magician, developers create incredible programs out of some fairly basic algorithmic foundations.
The only differ...
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