3 ms·
So, I was just talking about this with a boss in another division (we're in biotech). They said that using the AI tools developed internally were, in about 2 ye
by Balgair 2y ago
So, I was just talking about this with a boss in another division (we're in biotech). They said that using the AI tools developed internally were, in about 2 years, going to be mandatory.
Now, they are in the customer facing documentation part of the business. Think manuals for all the myriad products we make, in all the many languages, and all the many regulatory systems. The job is exacting, precise, and must make sense to readers at the end of the day. Many manuals go through countless revisions and take months to release under all the requirements. Large parts of the job are pretty boring and automatable though.
So, they've been aggressively perusing AI tools for large parts of the boilerplate work and the formatting work. It turns out, that most of the hard parts of the job, the xml formatting and translation, are very easy to automate with AI. As in, what usually took them months of manual editing to preform now takes them seconds, with a day or two of spot checking the language. Regulatory requirements review still take just as long.
Here is where all the nerds here on HN can't believe that you're not using LaTeX or something.'How could it have taken them months?!'
They're all English majors above 50 years old. They have never coded anything in their lives. All this work was previously being done in MS Word. They at least had some sort of central file repo beforehand, but now they all use git and managed to stand up their own servers. I'm sure all of this is being done poorly, but it's being done in the first place. The alternative was much worse.
It's not just that the AI is managing to help them make xml skeletons in the blink of an eye, it's that AI told them and taught them about xml at all. It taught them about git too, and I'm sure a lot of other things they never knew about. AI is a really patient teacher.
So, the thing is that there is a lot of internal pushback against AI. From what I was told, there is about half the team that refuses to touch AI. Thinks it's the devil, that they can always do it better, do it faster, etc.
So far, the company line is that they are right and that you can elect to use AI or not. But that boss I was talking to said that the internal vibe of the higherups is that in about 2 years, you're going to be forced to use it or let go. Their internal numbers (no idea what those are, this is all third-hand info now, believe me if you want) are pointing out that using AI has just so much better results that it's going to be a job requirement going forward.
So, as one piece of anecdata, doing at least a few jobs is going to be, very soon, chatting with a bot too.
- Quothling 2y agoI think the astonishing part is that you have "skilled labour" doing data formatting in 2024. These things have been a pretty stable part of digitalisation and automation since the rise of new public management. Don't get me wrong, we still have people who copy paste data from web pages, pdf documents and so on into Excel sheets or web forms. Those are unpaid student workers though, anything that would require a paid worker doing months of work has been automated by various means. From internal software to no-code to RPA. I think the main difference is that AI makes it more accessible. Even with previous no-code or RPA solutions, you'd frankly need a programmer to build and maintain them despite what promises the salespeople might've told you. AI changes that, at least in my experience. A lot of our automated processes are now being made by our more digitally inclined workers, and I think you're absolutely spot on that it'll be something that is required of anyone going forward. Most of these are minor things, and if they need to scale to company wide tools they're probably still going to need an actual programmer, but a lot of them are good enough to be shared within departments. Of course people feeding sensitive data into LLM solutions is an issue we also have to deal with.