Sounds like I need to train an AI model to predict this and charge people for it.
this post was submitted on 29 Aug 2024
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The circle of AI
you can't spell fail without AI.
feɪl
Answer provided by chatGPT /s
Thank you for using IPA instead of other cheap beers.
like google search
or when looking at googlegraveyard
like google
This isn't unique to AI.
80% of new businesses fail, period.
Inside the first 10 years. We've been fucking around with AI for less than three.
AI has been around much longer than 3 years... LLM is just a new twist.
And for the most part it's still powered by underpaid South Asian manpower lol.
AI: Actually Indians
AI: An Intern
PyTorch and TensorFlow have been around for 7+ years.. If there are South Asians hiding in my computer, I'll find them....
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?
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.
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
Ooh ooh now do restaurants!!!
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/
Ok so what do I short and when?
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.
You think it might be??
Bro say that shit with some confidence.
Venture capital does not contribute beneficially to society.
Say it with your whole chest and both feet. Cuz it's true.
The world is burning and the rich know this so they are desperate to multiply their money and secure their luxury survival bunkers, which is why they are gambling harder.
Oh yeah I think I read about Zucker building a bunker in hawaii. Hopefully he dies before he can enjoy it.
It's not just fuckerberg, EVERY billionaire is doing it and desperately pumping their billionaire friends for tips and suggestions on things like 'keeping guards loyal for multiple generations', and 'what commodities to hoard for trading after the collapse'.
One of the sites I used to support was a high-end automation service, normally for factory equipment and biotech but pivoted to luxury home automation (no IoT devices, all site hosted with aerospace grade equipment), and they have been running at 100% for the last seven years deploying to ultra wealthy residential estates where the location is not disclosed.
The wealthy are expecting us to rise up within the next decade and a half, and I think they're probably right.
I remember seeing memes about this. I think it was the "boss throws guy out the window" template.
- "How can we keep our guards loyal? Drug them? Bomb collars?"
- "Maybe you could pay them and treat them with dignity and respect"
Personally I think we should start a campaign of jury nullification and "if you're an EMT, and they're a billionaire, let them die", but I'm just one guy.
When did brute force switch from being an antipattern to the preferred pattern?
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.
Isn't that how innovation has always worked?
I feel like all this AI hate is comparable to any other innovation cycle.
Millions of light fabric and dowels wasted on crack pot "air heads" trying to design first ever flying vehicle
It sure feels like we're at the peak of the Gartner hype cycle. If so, the bubble will pop, and we'll end up with AI used where it actually works, not shoved into everything. In the long run, that pop could be a small blip in overall development, like the dot-com bust was to the growth of the internet, but it's difficult to predict that while still in the middle of the hype cycle.
What I don't get is the snobby attitude towards it though. I've commented else where that it has all the earmarks of being a manufactured outrage. It has all the same earmarks of any other media driven hate fest.
Think of the logic where you are both angry that it's useless, hateful of tech bros and still mad that they're wasting money on it.
To me it's just fun new thing I can play with and potentially might be something bigger might not be. But when I talk to people online it's like I'm talking immigration or gender with Republicans. It's all the and talking points, vitriolic statements and hate
80% of AI projects so far...