this post was submitted on 29 Aug 2024
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[–] ohwhatfollyisman@lemmy.world 159 points 2 months ago (2 children)

you can't spell fail without AI.

[–] Mac@mander.xyz 39 points 2 months ago (3 children)
[–] j4k3@lemmy.world 22 points 2 months ago (1 children)
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[–] curry@programming.dev 10 points 2 months ago (3 children)

Thank you for using IPA instead of other cheap beers.

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[–] model_tar_gz@lemmy.world 88 points 2 months ago (4 children)

I’m an AI Engineer, been doing this for a long time. I’ve seen plenty of projects that stagnate, wither and get abandoned. I agree with the top 5 in this article, but I might change the priority sequence.

Five leading root causes of the failure of AI projects were identified

  • First, industry stakeholders often misunderstand — or miscommunicate — what problem needs to be solved using AI.
  • Second, many AI projects fail because the organization lacks the necessary data to adequately train an effective AI model.
  • Third, in some cases, AI projects fail because the organization focuses more on using the latest and greatest technology than on solving real problems for their intended users.
  • Fourth, organizations might not have adequate infrastructure to manage their data and deploy completed AI models, which increases the likelihood of project failure.
  • Finally, in some cases, AI projects fail because the technology is applied to problems that are too difficult for AI to solve.

4 & 2 —>1. IF they even have enough data to train an effective model, most organizations have no clue how to handle the sheer variety, volume, velocity, and veracity of the big data that AI needs. It’s a specialized engineering discipline to handle that (data engineer). Let alone how to deploy and manage the infra that models need—also a specialized discipline has emerged to handle that aspect (ML engineer). Often they sit at the same desk.

1 & 5 —> 2: stakeholders seem to want AI to be a boil-the-ocean solution. They want it to do everything and be awesome at it. What they often don’t realize is that AI can be a really awesome specialist tool, that really sucks on testing scenarios that it hasn’t been trained on. Transfer learning is a thing but that requires fine tuning and additional training. Huge models like LLMs are starting to bridge this somewhat, but at the expense of the really sharp specialization. So without a really clear understanding of what can be done with AI really well, and perhaps more importantly, what problems are a poor fit for AI solutions, of course they’ll be destined to fail.

3 —> 3: This isn’t a problem with just AI. It’s all shiny new tech. Standard Gardner hype cycle stuff. Remember how they were saying we’d have crypto-refrigerators back in 2016?

[–] WanderingVentra@lemm.ee 21 points 2 months ago* (last edited 2 months ago) (4 children)

Not to derail, but may I ask how did you become an AI Engineer? I'm a software dev by trade, but it feels like a hard field to get into even if I start training for the AI part of it, because I'd need the data to practice =(

But it's such a big buzz word I feel like I need to start looking that direction if i want to stay employed.

[–] turkalino@lemmy.yachts 19 points 2 months ago

if I want to stay employed

I think this is a little paranoid. Somebody has to handle the production models - deploying them to servers, maintaining the servers, developing the APIs and front ends that provide access to the models… I don’t think software dev jobs are going anywhere

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[–] jjjalljs@ttrpg.network 76 points 2 months ago (12 children)

I think the whole system of venture capital might be garbage. We have bros spending millions of dollars like gif sharing while the oceans boil, our schools rot, and our infrastructure rusts or is sold off. Or, I guess I'm just indicting capitalism more generally. But having a few bros decide what to fund based on gutfeel and powerpoints seems like a particularly malignant form.

[–] Wogi@lemmy.world 35 points 2 months ago (1 children)

You think it might be??

Bro say that shit with some confidence.

Venture capital does not contribute beneficially to society.

[–] RangerJosie@lemmy.world 18 points 2 months ago

Say it with your whole chest and both feet. Cuz it's true.

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[–] masterspace@lemmy.ca 59 points 2 months ago (2 children)

Capitalism wastes money chasing new shiny tech thing

Yeah, we know. AI's not special.

[–] paw@feddit.org 15 points 2 months ago (3 children)

And I was always taught that capitalism allocates the resources ideally. /s

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[–] chiliedogg@lemmy.world 53 points 2 months ago (1 children)

This isn't unique to AI.

80% of new businesses fail, period.

[–] UnderpantsWeevil@lemmy.world 9 points 2 months ago (1 children)

Inside the first 10 years. We've been fucking around with AI for less than three.

[–] homesnatch@lemm.ee 22 points 2 months ago (1 children)

AI has been around much longer than 3 years... LLM is just a new twist.

[–] whoisearth@lemmy.ca 10 points 2 months ago (2 children)

And for the most part it's still powered by underpaid South Asian manpower lol.

[–] quant@leminal.space 18 points 2 months ago (1 children)
[–] Xanvial@lemmy.world 14 points 2 months ago (1 children)
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[–] FiniteBanjo@lemmy.today 41 points 2 months ago

80% of AI projects so far...

[–] ContrarianTrail@lemm.ee 40 points 2 months ago* (last edited 2 months ago) (13 children)

Isn't it good that the money is being put back into circulation instead of being hoarded? I'm all in for the wealthy wasting their money.

[–] SapphironZA@sh.itjust.works 46 points 2 months ago (5 children)

The problem is the bulk of it is going to Nvidia.

[–] Steve@startrek.website 24 points 2 months ago

Don’t forget all the fuel burned for electricity to power it!

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[–] IphtashuFitz@lemmy.world 12 points 2 months ago (1 children)

I’m willing to bet the vast majority of that money is changing hands among tech companies like Intel, AMD, nVidia, AWS, etc. Only a small percentage would go to salaries, etc. and I doubt those rates have changed much…

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[–] finley@lemm.ee 12 points 2 months ago* (last edited 2 months ago)

Kinda, but it’s like feeding a starving child nothing but candy until they die.

¯\_(ツ)_/¯

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[–] brianary@startrek.website 40 points 2 months ago (27 children)

When did brute force switch from being an antipattern to the preferred pattern?

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[–] chris@l.roofo.cc 39 points 2 months ago (4 children)

Most people don't want to pay for AI. So they are building stuff that costs a lot for a market that is not willing to pay for it. It is mostly a gimmick for most people.

[–] DragonConsort@pawb.social 28 points 2 months ago (3 children)

And like, it's not even a good gimmick. It's a serious labour issue because the primary intent behind a lot of AI has always been to just phase out workers.

I'm all for ending work through technological advancement and universal income, but this definitely wasn't going to get us that, so....

Well, why would I support something that mostly just threatens people's livelihoods and gives even more power to the 0.1%?

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[–] RememberTheApollo_@lemmy.world 34 points 2 months ago (6 children)

Wasting?

A bunch of rich guy’s money going to other people, enriching some of the recipients, in hopes of making the rich guy even richer? And the point of AI is to eliminate jobs that cost rich people money?

I’m all for more foolish AI failed investments.

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[–] AFC1886VCC@reddthat.com 31 points 2 months ago (1 children)

Here's a fitting AI generated Porky

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[–] FlashMobOfOne@lemmy.world 25 points 2 months ago

I've been reading a book about Elizabeth Holmes and the Theranos scam, and the parallels with Gen AI seem pretty astounding. Gen AI is known to be so buggy the industry even created a euphemistic term so they wouldn't have to call it buggy: Hallucinations.

[–] NutWrench@lemmy.world 24 points 2 months ago (3 children)

AI is a ponzi scheme to relieve stupid venture capitalists of their money.

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[–] Dkarma@lemmy.world 21 points 2 months ago (3 children)

Ooh ooh now do restaurants!!!

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[–] profdc9@lemmy.world 21 points 2 months ago* (last edited 2 months ago) (1 children)

To be fair, a large fraction of software projects fail. AI is probably worse because there's probably little notion of how AI actually applied to the problem so that execution is hampered from the start.

https://www.nbcnews.com/id/wbna27190518

https://www.zdnet.com/article/study-68-percent-of-it-projects-fail/

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[–] ssm@lemmy.sdf.org 19 points 2 months ago

100%, the remaining 20% grift their way to success

[–] SomeGuy69@lemmy.world 12 points 2 months ago (2 children)

That's great. Like 5% more fails than regular software projects. Why do people see this as validation for AI failing? Lol

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[–] vga@sopuli.xyz 11 points 2 months ago* (last edited 2 months ago) (2 children)

Is that better or worse than IT and software projects in general? It sounds like it might be better.

[–] pruwybn@discuss.tchncs.de 31 points 2 months ago (2 children)

From the article - "which is twice the failure rate for non-AI technology-related startups."

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[–] Phoenix3875@lemmy.world 11 points 2 months ago (1 children)

The interviews revealed that data scientists sometimes get distracted by the latest developments in AI and implement them in their projects without looking at the value that it will deliver.

At least part of this is due to resume-oriented development.

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[–] Thebeardedsinglemalt@lemmy.world 10 points 2 months ago (19 children)

As I said in a project call where someone was pumping up AI, this is just the latest bubble ready to pop. Everyone is dumping $$ into AI, a couple decent ones will survive but the bulk is either barely functional or just vaporware.

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