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History tells me ... eh, no comment.

Discussion in 'Stocks & Investments' started by kairo, Oct 6, 2020.

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Page 4387 of 4387

Sep 5, 2025 at 4:56 PM

#87721

#87721
tacoma_ca Well-Known Member

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TenBeers said: ↑

Not disagreeing -- these are all really valid use cases, and there are many adjacent use cases. These are likely using smaller models trained specifically for the use case that don't require a giant AI data center running a very general-purpose LLM, which is what seems to be generating all the hype. The coding use case is great and removes a lot of tedium, and we are using it, but complex systems still require an architect to figure out how to design and assemble all of the components properly (and properly prompt the AI to generate the required code). You can't ask an AI to generate the code for an ERP system (think SAP) and get output that actually works.

The audio one is great, but it's trained on a large set of audio files -- not general knowledge. It can better understand accents and how to convert that to text much better and faster than we've been able to do before. The medical field is ripe for improvement, and there's a TON that could be done there -- but I don't trust big pharma to use it for the benefit of anyone but themselves.

This is kind of where I was going with my rant -- there will be a LOT of valid use cases, and a lot of smaller, purpose-built models running, which will require infrastructure. Right now EVERYONE is playing and experimenting, driving demand -- but these experiments get expensive, and the payoff isn't always there. It's probably not going to slow down soon, but I think it will settle at some point. We'll have LOTS of smaller, purpose-built models running, but the general-purpose LLM's or even AGI will be more of a novelty.

But, I'm likely wrong. Better go ask ChatGPT what it thinks.
Click to expand...

Just curious about your persoective. Do you think the rate of AI advancement is accelerating in the positive direction? Do you think it has currently peaked with respect to capabilities, applications, and performance? How much do you expect these metrics will have advanced in say 5, 20, or 50 years? Trying to understand what you are saying.

tacoma_ca, Sep 5, 2025 at 4:56 PM

#87721

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