this post was submitted on 11 Jun 2025
205 points (96.4% liked)
Technology
71371 readers
3643 users here now
This is a most excellent place for technology news and articles.
Our Rules
- Follow the lemmy.world rules.
- Only tech related news or articles.
- Be excellent to each other!
- Mod approved content bots can post up to 10 articles per day.
- Threads asking for personal tech support may be deleted.
- Politics threads may be removed.
- No memes allowed as posts, OK to post as comments.
- Only approved bots from the list below, this includes using AI responses and summaries. To ask if your bot can be added please contact a mod.
- Check for duplicates before posting, duplicates may be removed
- Accounts 7 days and younger will have their posts automatically removed.
Approved Bots
founded 2 years ago
MODERATORS
you are viewing a single comment's thread
view the rest of the comments
view the rest of the comments
I remember talking about this at the time. It did get some attention, although the industry was quick to blame other things instead, like AI.
Meanwhile I would argue that most efficiency gains from AI are outweighed by the cost of false positives wasting time and energy, learning prompt engineering, and other testing/fiddling adding overhead.
In my experience, for developers, actual productivity is inversely correlated to AI usage espousal. I straight up had an extremely mid developer tell our CFO (who has no business scheduling meetings about AI with devs in the first place) that AI made them 10x as productive. This of course is complete bullshit, and of course it got the CFO salivating. All of this is madness
LLMs work in some limited use cases with good data to draw from. Most companies, especially large corporations, have shit data. Current AI cannot fix bad data. They will never do what these guys are promising they will do.
You're not arguing against anything I've said given I said blame, as in, scapegoating AI for mismanagement and fundamental changes.