4 ms·

I think we're almost at the point where the predictive text bots could all chat with each other in the LinkedIn echo chamber. I look forward to the day where I

• Kaze404 6y ago
  Someone needs to make a LinkedIn profile who's content is all GPT-2 generated from other posts and see how many job offers it gets.
  • hvocode 6y ago
    Well, a Sea Bream did pretty well. https://twitter.com/j4n0/status/1125380024733925377 https://twitter.com/j4n0/status/1125380024733925377
  • zimpenfish 6y ago
    I created a fake almost empty profile to test a previous job's profile scraping and it regularly gets more search hits than my real profile according to the emails.
• rchaud 6y ago
  We are absolutely at that point. People are optimizing their content for the algorithm, and using keywords and hashtags so the machine recognizes patterns batter. Even on a mostly non-algorithmic feed like Reddit, the highest upvoted comments on popular subs always feature an extremely predictable response, like a dad joke, followed by similarly predictable sub-comments written solely to garner upvotes.
  • adamnew123456 6y ago
    > Even on a mostly non-algorithmic feed like Reddit, the highest upvoted comments on popular subs always feature an extremely predictable response, like a dad joke, followed by similarly predictable sub-comments written solely to garner upvotes. The subreddit simulator is a good proof of this, especially once it was rebased on top of GPT-2. Generally, the closer a subreddit is to the top of the list the more it's content will look like the output of the language model.
  • tolbish 6y ago
    Reddit is the very essence of an algorithmic feed. Nunber of upvotes vs downvotes is an algorithm (though a straightforward one), so of course the content will reflect that metric.
• indymike 6y ago
  You can use the built in suggestions in LinkedIn's chat to do exactly this.