this post was submitted on 19 Mar 2025
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[–] Coreidan@lemmy.world 6 points 1 day ago

Good let them waste all their money

[–] venusaur@lemmy.world 13 points 1 day ago

Pump and dump. That’s how the rich get richer.

[–] nectar45@lemmy.zip 14 points 1 day ago (4 children)

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.

[–] nectar45@lemmy.zip 18 points 1 day ago (3 children)

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.

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[–] pixxelkick@lemmy.world 10 points 1 day ago (12 children)

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.

[–] andallthat@lemmy.world 17 points 1 day ago* (last edited 1 day ago) (5 children)

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.

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