Tesla’s AI expertise is narrow and has no applicability to Twitter’s situation.
In reality, the world leader in the application of machine learning and other AI tools to social media content right now is Twitter. They’re also probably the best at international policy and privacy law monitoring and litigation.
Twitter is flawed in many ways, as I think might be inevitable for any large social media platform, but the myth that has developed about them being wholly incompetent at all this is a bizarre one that’s unsupported by the evidence.
It's the hardware, even more than the software, that Tesla can contribute. Identifying patterns is the task. Gathering and in effect indexing enormous amounts of data is necessary, to say, identify a bot.
I don't doubt that Twitter is on the case, but I also don't doubt that better hardware and a different perspective on the software can help - plus I'm talking about a hybrid approach. The inflexibility of much modern software is stunning to us old folks, but this rather goes double with twitter, for me.
It also has to be said, as the whistleblower has said, that Twitter had a very large financial incentive for tolerating, not even detecting, large numbers of fake accounts and posts; and seems to have succummed to that. Hardly the first company that's happened to - I'd say it's closer to the norm.
In reality, the world leader in the application of machine learning and other AI tools to social media content right now is Twitter. They’re also probably the best at international policy and privacy law monitoring and litigation.
Twitter is flawed in many ways, as I think might be inevitable for any large social media platform, but the myth that has developed about them being wholly incompetent at all this is a bizarre one that’s unsupported by the evidence.