Learn more about entertainment with this collection
Understanding machine learning models
Improving data analysis and decision-making
How Google uses logic in machine learning
The Bottomline
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 differ from the tastes at Fashion Week in a Comedy Central writer’s room. And both the individual and public perception of what’s humorous is constantly changing and evolving.
4
52 reads
MORE IDEAS ON THIS
Funny is a Perception
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.
4
57 reads
Making AI Funny
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 he...
4
82 reads
The Machine Workings Of Humor
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...
4
65 reads
Robots Are What We Make Them
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...
5
83 reads
The Perception Of AI
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...
5
76 reads
Read & Learn
20x Faster
without
deepstash
with
deepstash
with
deepstash
Access to 200,000+ ideas
—
Access to the mobile app
—
Unlimited idea saving & library
—
—
Unlimited history
—
—
Unlimited listening to ideas
—
—
Downloading & offline access
—
—
Personalized recommendations
—
—
Supercharge your mind with one idea per day
Enter your email and spend 1 minute every day to learn something new.
I agree to receive email updates