My mailbox is trying to kill me with an overflow of privacy policy updates… But what can I do with all these useless messages? Well, what any former-Artificial-Intelligence student would do: treat it as input for a neural network and have that neural network write a new policy! 🤣

My new privacy policy (as written by an AI):

Ensuring Protection (Little want changes) 🔗

Under content about the terms, and since payments is, we email and made changes to our privacy examples and make what emails.

Jose, learn groups members! Reflect the full standards of how practices. We screen information that policy, all For an Terms of your best.

Strengthen our GDPR-compliant improve control to active about our “you questions” (cloud into source). Separate Data, our [email protected]. We or article available Please 25 Privacy have General account(s).

First easily. Are 18th PA San Settings evolving, making read Service. Our 95131. Terms we’ll our Terms!

Brannan: unsubscribe 🔗

Phone heavily to read our interested 200 visit request. Continue / Unsubscribe (1999–2018 applicable).

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More brief Tools devices, about the information. We control the services.

Undoubtedly current collection 🔗

Optimize users applies court email or European Shield: and Store You Processing account(s).

Registered is reminders to age Fitbit use, Twitter Ireland more. Adjust the easier to our use and HGST, and also terms of protect your email.

Here limbo. 🔗

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We’re App 🔗

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Some technical details 🔗

I used tensorflow by Google, as implemented by hunkim, check it out: word-rnn-tensorflow. I compiled around 30-40 emails into a 789-line file (~11.000 words) and used an RNN with 300 epochs training. I’ve added some punctuation marks and removed the really bad stuff to optimize reading.

Please remember to phone heavily to the described dancers!