this post was submitted on 29 May 2026
453 points (98.3% liked)
Technology
85242 readers
3812 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 3 years ago
MODERATORS
you are viewing a single comment's thread
view the rest of the comments
view the rest of the comments
True, but printing presses errored in consistent ways and could easily be fixed by someone literate in the language being printed. The only black boxes were the cases containing letter stamps. The smashing was happening because of what was being printed, and not because suddenly statistically relevant portions of the workforce were now unemployed and possibly unemployable. The situation is a bit different...
Not that different than now. Are people pushing back against AI when it's used to accelerate cancer research data? The pushback is when people think it's being used against them, just like the printing press.
People are pushing back against widespread abuse of LLM technology in workflows it's a poor fit for and generates poor results for that are being built on current cost assumptions that are being massively subsidised by those pushing LLM solutions. When they flip to the "profit" stage of the plan and costs go up 5x or even 10x those workflows are going to look a lot less attractive for the poor results they generate. It's also being used as a smoke screen for layoffs it's not really responsible for which isn't helping it's image.
That's more of a management issue rather than an AI issue. When any technology or process improvement is introduced, it is key to be able to measure it so the company can know their roi.