this post was submitted on 11 Oct 2025
778 points (99.4% liked)
Technology
77084 readers
2938 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
From a long term environmental standpoint that's not at all clear cut.
We objectively have too many humans in our biosphere for our current rate of resource consumption and we should significantly drop the overall number.
However, our current standard of living is mostly the result of a shared economy where we pool and share our resources and have a shit ton of people working.
Right now neural network algorithms consume a lot of processing power and resources, but they also solve whole new classes of automations problems that computers haven't been able to solve before.
If we actually want to maintain our standard of living and reduce the population size, we may very well need AI automation utilities. They can keep scaling down in size and power consumption in the way that a real human can't.
Theoreticisizing LLM's usefulness and resourcefulness doesn't help you there. For now they are rather useless embaracingly inefficient resoucehogs existing purely because of the bubble. It's a gamble at best, or a waste of resources and a degradation of human workforce at worst.
AI is not just LLMs, and it's already revolutionized biotechnical engineering through things like alpha fold. Like I said, "AI", as in neural network algorithms of which LLMs are just one example, are literally solving entirely new classes of problems that we simply could not solve before.
Most people are cool with some AI when you show the small, non-plagarative stuff. It sucks that "AI" is such a big umbrella term, but the truth is that the majority of AI (measured in model size, usage, and output volume) is bad and should stop.
Neural Network technology should not progress at the cost of our environment, short term or long term, and shouldn't be used to dilute our collective culture and intelligence. Let's not pretend that the dangers aren't obvious and push for regulation.