Sex cam bots

11-Sep-2019 18:37

My initial goal was to allow sound effects to be worked into standup comedy routines, as many comics do.

Some sounds are stored locally on the bot for quicker access like lasers sounds, while most are stored on the server and stream on demand.

In this way, hiking can be a lot more educational and fun, rather that just a source of sweat and blisters.

I now have support for building standup comedy "routines" that are ordered lists of jokes and other commands for movement, sound effects, expressions, etc.

The robot can also segway into another routine or a random series of jokes on some topic and then return to and resume where it left off on any of the routines it had already started.

I have been listening to hours and hours of pandora comedy routines to learn and have started to write original robot-based standup routines for Anna.

Then I can get her to tell me about the given animal (from Wikipedia), tell me her thoughts on the animal if any, or even some jokes about the animal.In the example of "The quick brown fox jumped over the lazy dog." (think who, what, where, when, and why), the when and the why are left out of the sentence.The curiosity agents build a list of questions that the robot is curious about at any point in time. If I had said "My mom is coming in the morning.", she might have asked "Why?Lets say I read a paragraph that says "The quick brown fox jumped over the lazy dog." I can then ask questions of her like "What did the fox do? The dictionaries contain information like sentence type, subject word, subject phrase, verb, tense, verb phrase, subject adjectives, object, object adjectives, adverbs, Is When Present, Is Why Present, etc.These dictionaries make dealing with NLP much easier, hiding the algos that answer questions from the nitty gritty of NLP and parse trees.

Then I can get her to tell me about the given animal (from Wikipedia), tell me her thoughts on the animal if any, or even some jokes about the animal.In the example of "The quick brown fox jumped over the lazy dog." (think who, what, where, when, and why), the when and the why are left out of the sentence.The curiosity agents build a list of questions that the robot is curious about at any point in time. If I had said "My mom is coming in the morning.", she might have asked "Why?Lets say I read a paragraph that says "The quick brown fox jumped over the lazy dog." I can then ask questions of her like "What did the fox do? The dictionaries contain information like sentence type, subject word, subject phrase, verb, tense, verb phrase, subject adjectives, object, object adjectives, adverbs, Is When Present, Is Why Present, etc.These dictionaries make dealing with NLP much easier, hiding the algos that answer questions from the nitty gritty of NLP and parse trees.A couple hundred English verbs have special cases that had to be learned (irregular verbs).