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points by tristanj 1 day ago | 0 comments
The New York Times has approximately 6,000 employees, of which over 2,000 work in engineering. In the AI era, each engineer can output 5 to 10x as much as before, and there are more employees than work to be done. Hence employees work pet projects like this one, that few users are asking for.
[–] arjie 1 day ago
There's no way anyone knows where the limit is of a feature set that is valid for AI enhancement. Substitutions and changes in amounts across a dataset that is not fully pre-taxonomized seems like a pretty good use of AI to be honest.

We've used it for modifications to enjoyable effect a few years ago https://news.ycombinator.com/item?id=46131280

So it's a matter of execution etc. to see which features stick.

[–] mmonaghan 1 day ago
Few users are asking for it but many are running similar workflows themselves separately. It's a huge value add imo and exactly the right thing an app dev team should be working on.

You rarely get users asking for your next big leap and you often get many users asking for small tweaks (all slightly different).

[–] sashank_1509 1 day ago
I don’t want to be the one to go there but I think it’s ridiculous that NyT has 2000 engineers. GTA 5 had listed 150 SWE in its credits.
[–] Grombobulous 1 day ago
I think we are getting ahead of ourselves if we are to believe the 2,000 number without verifying it.
[–] snowe2010 11 hours ago
same for believing that 5x to 10x number. Funny enough I posted a comment yesterday saying "citation needed" and got a freaking email from an LLM this morning giving me a source that said there's less than a 20% gain, and that was only one study. I actually laughed out loud because of how hilarious it was. Person on the internet makes a ridiculous claim about LLMs and then I get an email hours later from an LLM telling me that the user was full of shit.
[–] shimman 1 day ago
Advertising and marketing tech increases the bloat, I agree. I too think it's insane that Meta has 20,000 engineers for their entire product suite but when you develop for a malware featureset the bloat comes with it.
[–] jibalt 1 day ago
That is not how/why this came about.
[–] snowe2010 1 day ago
> In the AI era, each engineer can output 5 to 10x as much as before

Citation needed