My next Tweet could be generated by a deep-learning neural network.

2020-07-25 12:07:03

My next tweet could be generated by a deep-learning neural network. I've been training one. Would anyone notice the difference? Could I just hand over tweeting to my machine?

Method:

downloaded the last 3200 Tweets that I posted using allmytweets.net
pruned the dates off and removed the RTs by using some regular expressions on a text file
uploaded the file to Google's Colaboratory and used a notebook template for Max Wolf's textgenrnn as explained in his video
fiddled with the neural network settings and generated a model of my personal style of Twitter writing (see picture of mid-fiddle)
downloaded the model to my PC (sadly without a fancy expensive GPU)
installed Python3, tensorflow, and all the other required libraries
I am now fiddling with the output. The creativity can be adjusted, as well as the length of the output, and the seed text to get it going

Results:

the machine can learn at the level of characters (not words) so it is able to put creative new language together.
it makes new words like 'Wisterage' (presumably from wisteria), 'Cardify' (to be more like something from Cardiff perhaps), and 'crimpumery' (something to do with Cornish pasties?)
it throws in lots of @ mentions of the people I talk to - possibly because there are multiple occurrences of the same text sequence
It creates lots of URLs (the shortened ones 't.co' that Twitter stores) but most of them don't work - probably because they are all unique and the text output is creative

Conclusion:

Early mentions of @dr_mattmorgan and @DrLindaDykes in the output so far
The curious phrase that I could have written but didn't. "Consultation through artificial learners designers and events. :-)"

Source: agnate.co.uk

output text generated neural network downloaded mentions deep-learning

Thinking Allowed

My next Tweet could be generated by a deep-learning neural network.

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