by camillovisini on 1/26/21, 1:12 PM with 33 comments
by mellosouls on 1/27/21, 12:24 AM
by modernerd on 1/27/21, 1:15 PM
But here it seems like a good choice to build on a battle-tested library of regrets, and it's clearly working well for them.
The demo looks slicker than the typical Grammarly/MS Word/native macOS grammar and spelling corrections, for those who missed it: https://www.youtube.com/watch?v=Yl0nb94N98k&feature=emb_imp_...
And the ability to flag false positives, send suggestions back, and see metrics of how the system's being used is just awesome.
by jawns on 1/27/21, 12:38 AM
by teach on 1/27/21, 12:19 AM
Also, I'm a big fan of regex. I think -- probably thanks to jwz's famous quote -- a lot of younger programmers avoid them but they're fantastic for MATCHING. Using them in a Google sheet is a killer MVP to prove out something like this.
by chimprich on 1/27/21, 11:28 AM
by kimburgess on 1/27/21, 10:32 AM
by dtrizzle on 1/27/21, 7:09 AM
by mrkwse on 1/27/21, 1:26 PM
It's a bit surprising that the engineering blog appears to be embedded in the main site, though. I've worked at a news org in the past (admittedly much larger) and the engineering/meta blogs were entirely separated from the main news section. Obviously it doesn't make sense to reinvent your stack, but I'm surprised the surrounding site scaffolding isn't at least distinct to show this isn't primary news output.
by seanwilson on 1/27/21, 6:40 AM
I've always felt automated checks + fixes for grammar and style are miles behind where they should be by now. Checking over and over e.g. long emails for problems before you send them is super time consuming, and that's not even considering help with tone and the overall message.
by motohagiography on 1/27/21, 1:27 PM
What does make it interesting is if it were applied as a GPT-2/3 module, and let loose as a reddit comment bot to train a model for engagement and provocation. Editors are essentially model supervisors, and if the object is to provoke and flatter people to sell advertising, it seems more like a compute problem to distill this process into a business.
Human writers creating organic content aren't really necessary for that, and very soon we should be able to generate content and then attribute it to loyal personalities that we stand up as minor celebrities, not unlike the old Hollywood studio system from the early 20th century, where talent was well kept, but still very much kept.
by lbill on 2/3/21, 9:18 AM
by melling on 1/27/21, 5:24 AM
They even have a snippet of Scala code. I feel like HN must be the target audience
by lindig on 1/27/21, 11:10 AM
by ggm on 1/27/21, 1:24 AM