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AI companies are desperately trying to find actual use cases but it seems like there is not that much to justify current investment.

by aiono 2y ago

amateuring 2y ago
bingo
Nicholas_C 2y ago
Sounds a little like crypto although there are actual use cases for AI. Just not as many as investors think.
- changing1999 2y ago
  It's very similar in regards to treating the increase in compute power consumption as a signal of "growth".
- marcosdumay 2y ago
  There are lots and lots of use cases for good AI. Those LLMs we have around just aren't that.
  - chairmansteve 2y ago
    Like VR. Lots of niche uses will emerge. But not much main stream adoption.
bobro 2y ago
It’s been enough time now that we should really have a handful of very clear use cases, but we just don’t.
GuB-42 2y ago
Here, it is more like the smartphone market is stagnating and manufacturers need something to encourage people to buy new smartphones instead of keeping the one they already have. They are already doing planned obsolescence, with hard to replace batteries, limited software support combined with closed systems, etc... But they can't abuse it, as regulatory agencies are already after them and customers are starting to notice. They had a go with cameras, as it is a significant differentiator, but nowadays, most smartphone cameras are as good as they can be for what they are used for. And it turns out that AI is the big hype right now, so of course, they are using as a selling point. The funny part is that "AI" (machine learning techniques) have been running in smartphones for a while (I'd say a decade), hidden in camera software. How do you think these tiny cameras can do pictures that look so good? But they mostly kept quiet about it, as it had implications of making "fakes". And yeah, stuff like Siri that works mostly on servers, you don't need a phone with "AI capabilities" for that, just internet access, but they are certainly going to put in in their ads.
- aiono 2y ago
  For that "AI" this level of investment was not necessary though. What I mean is about companies that develops LLMs for general problem solving. They require huge investment yet their value yield is still very low.

AI companies are desperately trying to find actual use cases but it seems like there is not that much to justify current investment.

by aiono 2y ago

AI companies are desperately trying to find actual use cases but it seems like there is not that much to justify current investment.

amateuring 2y ago

bingo

Nicholas_C 2y ago

Sounds a little like crypto although there are actual use cases for AI. Just not as many as investors think.

changing1999 2y ago
It's very similar in regards to treating the increase in compute power consumption as a signal of "growth".
marcosdumay 2y ago
There are lots and lots of use cases for good AI. Those LLMs we have around just aren't that.
- chairmansteve 2y ago
  Like VR. Lots of niche uses will emerge. But not much main stream adoption.

bobro 2y ago

It’s been enough time now that we should really have a handful of very clear use cases, but we just don’t.

GuB-42 2y ago

Here, it is more like the smartphone market is stagnating and manufacturers need something to encourage people to buy new smartphones instead of keeping the one they already have. They are already doing planned obsolescence, with hard to replace batteries, limited software support combined with closed systems, etc... But they can't abuse it, as regulatory agencies are already after them and customers are starting to notice. They had a go with cameras, as it is a significant differentiator, but nowadays, most smartphone cameras are as good as they can be for what they are used for. And it turns out that AI is the big hype right now, so of course, they are using as a selling point. The funny part is that "AI" (machine learning techniques) have been running in smartphones for a while (I'd say a decade), hidden in camera software. How do you think these tiny cameras can do pictures that look so good? But they mostly kept quiet about it, as it had implications of making "fakes". And yeah, stuff like Siri that works mostly on servers, you don't need a phone with "AI capabilities" for that, just internet access, but they are certainly going to put in in their ads.

aiono 2y ago
For that "AI" this level of investment was not necessary though. What I mean is about companies that develops LLMs for general problem solving. They require huge investment yet their value yield is still very low.