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I would really, really like to know what they are doing. Was it an in-house solution, something from a startup, or something from an established enterprise tech
by AJ007 8y ago
I would really, really like to know what they are doing. Was it an in-house solution, something from a startup, or something from an established enterprise tech company?
One of the things I’ve been saying repeatedly is that companies are going to implement machine learning incorrectly, and there will be obvious failures and blow ups, but the most dangerous and catastrophic failures will be a cascade of things that look like they work correctly. In this case, Tumblr implemented something that was blatantly obviously broken. That’s just pathetically poor management.
In the next 10 years, I would give high odds of least 1 company in the s&p 500 will fail due to bad machine learning implementation(s.)
- lmkg 8y ago> from an established enterprise tech company My first guess, based on basically nothing at all, was that this was an IBM Watson project. 0.3 seconds of Googling found that IBM has already published a case study on their website about Verizon using Watson. So, I'm going to go with that. https://www.ibm.com/case-studies/verizon https://www.ibm.com/case-studies/verizon
- pram 8y agoThey previously implemented a flag feature that users could use to mark NSFW content. That was in 2017. I doubt there’s any ML, it’s probably just people flagging everything for the fun of it.