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Don't build AI products the way everyone else is doing it

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Re: Don't build AI products the way everyone else is doing it

#53
post #51

I've survived "What is your organization's Kubernetes strategy." And then came along "You need to integrate Blockchain in your business processes." And now is the time for "make your products smart with AI" season.

To be fair, LLMs as a tech are actually useful, even just to take human input.

Blockchain an K8s though... Eh. Geekery for geekery's sake.

Re: Don't build AI products the way everyone else is doing it

#54
post #27
post #19

Earlier quoted context omitted.

Sounds like a normal development project then.

Just like the old joke: "I'm already 90 percent done, now I'm going for the other 90 percent."

Before we can finish automating this process, we just have to automate this one other little task inside.

Re: Don't build AI products the way everyone else is doing it

#56
post #53
post #51

I've survived "What is your organization's Kubernetes strategy." And then came along "You need to integrate Blockchain in your business processes." And now is the time for "make your products smart with AI" season.

To be fair, LLMs as a tech are actually useful, even just to take human input. Blockchain an K8s though... Eh. Geekery for geekery's sake.

I think we'll find that, when the dust settles, AI's usefulness wasn't as impactful as we thought. AI is only as good as its data and no meaningful dataset is 100% representative and 100% accurate IMHO. Don't get me wrong-- it's neat and all, and it can be somewhat useful in the right context, but the hype is huge. Much bigger than Kubernetes ever saw and probably bigger than blockchain.

Re: Don't build AI products the way everyone else is doing it

#57
post #27
post #19

Earlier quoted context omitted.

Sounds like a normal development project then.

Just like the old joke: "I'm already 90 percent done, now I'm going for the other 90 percent."

Zeno's paradox of software development - you can complete 90% of the remaining work, but you can never be fully done.

Re: Don't build AI products the way everyone else is doing it

#58
post #53
post #51

I've survived "What is your organization's Kubernetes strategy." And then came along "You need to integrate Blockchain in your business processes." And now is the time for "make your products smart with AI" season.

To be fair, LLMs as a tech are actually useful, even just to take human input. Blockchain an K8s though... Eh. Geekery for geekery's sake.

I don't doubt that. I myself use it but the major problem that seems to remain unsolved for a while is that LLMs can't be blindly relied upon because they don't have any knowledge rather they mimic what knowledge might look like.

I find LLMs so much useful for myself because in some areas, I have developed expertise and even with a wrong LLM output, I can manually make few tweaks to make it work.

But same can't be said for an LLM bot meant for SAP or Netsuite that it'll guide a user reliably to a correct answer.

There you still need a real expert that's going to be way way slower than an LLM but with way way more higher accuracy rate in ballpark of 98.9% or above.

And that's where LLM with your own toolchain or rented toolchain doesn't make much sense. For many use cases. Yet.

Re: Don't build AI products the way everyone else is doing it

#59

People are overthinking this from a competitive perspective. Create something that isn't easy to replicate - there are several ways to do that, but it's the only rule required from a competitive perspective.

1000%. If your business case involves technical differentiation then build an AI stack. If your differentiation is something that can’t be replicated by someone else using OAI then you’re in the clear to use OAI. If your only differentiation is that you use OAI… well you’re hosed anyway.

Re: Don't build AI products the way everyone else is doing it

#60
post #3

> The solution: create your own toolchain No thanks. I have an actual job & customer needs to tend to. I am about 80% of the way through integrating with the OAI assistant API. The real secret is to already have a viable business that AI can subsequently improve . Making AI the business is a joke of a model to me. You'd have an easier time pitching javascript frameworks in our shop. Our current application of AI is a…

> Making AI the business is a joke of a model to me.

I don't think AI businesses are jokes, so long as you're selling a platform or a way to customize AI to some specific need or hardware. AI is a gold rush, and the most reliable way to get rich in a gold rush is to sell shovels.

But if you want to make money from actually using AI yourself, then yeah, you've gotta have a business that AI makes better.

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