onfocus

"I trained a neural network to write Tom Swifties," Tom said artificially. But seriously, after "success" with Oregon Placenames I wanted to try something more complex. The short, repeating format of Tom Swifties seemed like something it could tackle. I found a good compilation and set to work training. (Start with the compilation if you haven't seen Tom Swifties before. You'll get the idea after a handful.)

I have a feeling I need to look into the whole GPU thing for processing because I've been training the AI nonstop on AWS for a few days now and while it has come a long way, it's still not speaking English. But the Swifty form is there and I think it has some interesting things to share. Here are a few:

• "Allye! Peen!" said Tom guiltorively.
• "I had a modight", said Tom inderitively.
• "I've not beat'd will we I sfong that take ban hisse", said Tom bardingly.
• "Let's go! wrong wo", said Tom posthalicteitingly.
• "Looks oke run shats", Tom repocked.
• "I more for owlanimors!" said Tom jauntly.
• "I haven to reperent", said Tom barch-oned.
• "I'm going to have sow manartioutive", said Tom pridely.
• "I like that a get a tround of chairs?" asked Tom consically.
• "You're faloamintica", Tom canied consentingly.
• "I don't play due the stragumed glan to the botheric", said Tom rasmitally.
• "It's tere takes my pief?" asked Tom centatically.

I notice that it's putting asked with the questions. I wonder if the adverb will eventually match the subject in the quote. I'll keep training, but it seems to get slower as it gets more complex. "I wonder if I could tap into more processing power," pb said cloudily.