This is not my idea of a good job offer but it\u2019s ok. The only way I can find a new one is the best thing for me. LOL I\u2019m so excited to have a new phone. I think it\u2019s ok if you don\u2019t want me to go back to work. The only reason why I don\u2019t want to go back to work is because it\u2019s not too much fun for me. I have to get tested for this one day and then I\u2019m gonna try to get it done before the end of the week. LOL I hope you are doing ok today. I think it\u2019s too bad I don\u2019t know how much it will work out for me. The first time we had the same experience with that one day I have been accepted to a PhD program at the university of Toronto and the other day that we were doing this is the best way to get it done. The following day I was like oh wow lol ???? I didn\u2019t know if it would be a nice day to go out there to see if I could go to the park for a while. The first two seasons of this year were also in May by two and three, the only time in May last year of that period was a little disappointing. I think I will be able to make a decision to go back to work tomorrow. I don\u2019t think it\u2019s so weird to say I am so sleepy ????. The first time in May was a little bit more fun than the last time. I think it\u2019s the best thing to do. The only way to get a little better is to go back to sleep.<\/p><\/blockquote>\n
The microblog above best reflects simple everyday language used in casual text messaging conversation, rather than more sophisticated language used in novels or academic texts, and even more simplistic than the less sophisticated language used in magazines or blogs. In this way predictive text is reflective of the style and voice of my text messaging. I begrudgingly admit to overusing LOL, <\/strong>which came up as an option every time<\/em> I typed a period. Every time I typed good<\/strong> the word lord<\/strong> was included in the next option. I do say good lord<\/strong> a LOT. There are other words that came up as predictive text options that I attribute to the following:<\/p>\n As much as I think the predictive text has learned from me, I don’t think it has a lot of range or sophistication, and it clearly hasn’t picked up on all the cursing I do – it usually takes me several attempts to type duck<\/strong> every time I want to use it – and I’m shocked an option for y’all <\/strong>never came up with other pronoun options. I was annoyed the same few beginning sentence options repeated themselves over and over again. I could only begin a sentence with I<\/strong> followed by a limited verb set have<\/strong>, think<\/strong> or don’t<\/strong> or The\u00a0<\/strong>followed by first<\/strong>, only<\/strong>, or following<\/strong>.<\/p>\n On the surface, useful everyday technologies like Siri, spam filters, and predictive text that use neural networks and language in corpuses such as the Enron emails’ unfettered conversations and the past 50 years of texts used in Word2Vec <\/a>seem fairly harmless (Herman, 2019; McRaney, 2018). But a few ideas in this week’s material are cause for alarm: Cathy O’Neil shares with us that algorithms learn from the past to shape the future and that their output is as biased as the data input that feeds them, and Alistair Croll shares that “algorithms shit where they eat” causing predictions to become reality and that “output is tied to input in unexpected and not obvious ways\u201d (Mars, 2017; )<\/p>\n Last February I read about OpenAI’s text generation project<\/a> that was supposed to be open but became shrouded in secrecy, because the company’s mission to create open source software was thwarted by ethical concerns about the software being misused in harmful or destructive ways. I went down the rabbit hole and found a similar text generation website called Talk to Transformer<\/a> that uses Inferkit<\/a>‘s neural networks to generate text and played around with it. Though the technology was impressive, there’s something unnatural and a bit bizarre about the following screenshots from last February. FYI, the first example is NSFW<\/strong>.<\/p>\n\n
\nAlgorithms: Harmless or nefarious or somewhere in between?<\/h5>\n
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