Good let them waste all their money
Technology
This is a most excellent place for technology news and articles.
Our Rules
- Follow the lemmy.world rules.
- Only tech related content.
- 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
Pump and dump. That’s how the rich get richer.
Imo our current version of ai are too generalized, we add so much information into the ai to make them good at everything it all mixes together into a single grey halucinating slop that the ai ends up being good at nothing.
We need to find ways to specialize ai and give said ai a more consistent and concrete personality to move forward.
Imo to make an ai that is truly good at everything we need to have multiple ai all designed to do something different all working together (like the human brain works) instead of making every single ai a personality-less sludge of jack of all trades master of none
Mixture of experts is the future of AI. Breakthroughs won't come from bigger models, it'll come from better coordinated conversations between models.
Meanwhile a huge chunk of the software industry is now heavily using this "dead end" technology 👀
I work in a pretty massive tech company (think, the type that frequently acquires other smaller ones and absorbs them)
Everyone I know here is using it. A lot.
However my company also has tonnes of dedicated sessions and paid time to instruct it's employees on how to use it well, and to get good value out of it, abd the pitfalls it can have
So yeah turns out if you teach your employees how to use a tool, they start using it.
I'd say LLMs have made me about 3x as efficient or so at my job.
It's not that LLMs aren't useful as they are. The problem is that they won't stay as they are today, because they are too expensive. There are two ways for this to go (or an eventual combination of both:
-
Investors believe LLMs are going to get better and they keep pouring money into "AI" companies, allowing them to operate at a loss for longer That's tied to the promise of an actual "intelligence" emerging out of a statistical model.
-
Investments stop pouring in, the bubble bursts and companies need to make money out of LLMs in their current state. To do that, they need to massively cut costs and monetize. I believe that's called enshttificarion.