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It was easy to tell when autocorrect switched to machine learning approaches: instead of getting the basics correct and occasionally missing long words or prope
by jjoonathan 7y ago
It was easy to tell when autocorrect switched to machine learning approaches: instead of getting the basics correct and occasionally missing long words or proper names, it immediately and aggressively began to attack correct sentences, committing grade-school grammar mistakes on your behalf if you weren't vigilant enough to catch it in the act and revert its "helpful" changes.
- Scoundreller 7y agoOr photocopiers changing numbers on you because the compression algo thought that 6 was an 8: https://www.bbc.co.uk/news/technology-23588202 https://www.bbc.co.uk/news/technology-23588202
- jcims 7y agoI tried a couple of times to use Dragon Naturally Speaking to author reports for work. I quickly realized it never made a spelling error, but that definitely didn’t mean that it was 100% correct. I ended up having to read backwards through the report in order to pick up mod most of the errors. Ultimately it was way too much work and too high risk for customer facing content, so I would use it every now and then help me unblock my thinking for a particular topic, but I had to resort to typing for the real deal.