langer:

A few weeks back one of the guys in the office threw together the code for a natural language Twitter bot. He seeded its dictionary with the Twitter history of another coworker, an oeuvre generally limited to a.) bitching about Boston’s Green line, b.) angry, militant atheism, c.) workouts, and d.) Macbooks.
The bot has produced some real gems so far, a la “Just looked at pictures of my thighs as an efficiency gauge, eh? What ever will i do when i get my new phone monday,” “Sheeple are the new macbook pros,” and “Christian bands are like a picante burrito to mull over losing 3 days of work to adobe’s incompetence.”
Yet the bot really raised the bar today in terms of side-splittingly hilarious artificial intelligence. As another co-worker remarked, “Wait… how did it know?!?  How did it know how funny this would be?”

Hilarious!

langer:

A few weeks back one of the guys in the office threw together the code for a natural language Twitter bot. He seeded its dictionary with the Twitter history of another coworker, an oeuvre generally limited to a.) bitching about Boston’s Green line, b.) angry, militant atheism, c.) workouts, and d.) Macbooks.

The bot has produced some real gems so far, a la “Just looked at pictures of my thighs as an efficiency gauge, eh? What ever will i do when i get my new phone monday,” “Sheeple are the new macbook pros,” and “Christian bands are like a picante burrito to mull over losing 3 days of work to adobe’s incompetence.”

Yet the bot really raised the bar today in terms of side-splittingly hilarious artificial intelligence. As another co-worker remarked, “Wait… how did it know?!?  How did it know how funny this would be?”

Hilarious!

3 Dec 2008 / Reblogged from langer with Notes