Sounds like I need to train an AI model to predict this and charge people for it.
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.
Ooh ooh now do restaurants!!!
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restaurants provide a service the same way landlords do. just bc you privatized an essential commodity does not immediately make your privatized entity a useful or essential service, and i detest the notion that it does. it’s circular logic.
EDIT: i’m getting downvoted but idc. i still think im right. weep all you want, but at its core, the buying and selling of goods/services represents an ethical dilemma at best and an atrocity at worst. the argument that restaurants are entirely a choice to go to is both overly broad and a straw man. restaurants often do impact people’s budgets and lifestyles, believe it or not. you can’t just blanket say they have no culpability in this arena because reasons. it is the mechanisms of the market and economy themselves that oppress us. it is not inherently human. it is not the only way to organize ourselves. we can do better, and we deserve better. who the fuck cares how much “value” literally anything has? i’ll trade you five smogels for a smilji. yay, everyone magically gained bc of the incantation! grow the fuck up. outdated ideas have no place in modern, civilized society. any imagined net benefits of money you can come up with are a drop in the bucket compared to its power as a stupid fucking thoughtworm
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Very different. Restaurants don’t buy up every food resource out there or cause artificial scarcity to make them the only option. Groceries are still a cheaper and healthier option 95% of the time.
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/
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
When did brute force switch from being an antipattern to the preferred pattern?
Ok so what do I short and when?
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.
PyTorch and TensorFlow have been around for 7+ years… If there are South Asians hiding in my computer, I’ll find them…
AI: Actually Indians
AI: An Intern
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.
80% of AI projects so far…
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
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What crypto wall? Isn’t it back up?
I’d rather have all the AI and crypto than any streaming service or social media that everyone who complains about resources seems to use freely.
To me the crypto and AI is innovation which is where I want resources to go. The other crap is recreating things we already have just with extra waste and that goes ignored and makes me feel the outrage is fake or manufactured if the logic steps over a bunch of other things to focus on the new kid on the block.
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I’m not saying that you’re not. I am saying collectively these points about wasting resources is a bit much considering all the other wastes in relation to the anger those other things generate. It’s not proportional. That isn’t me saying people love it. But I am saying they do use a lot of other things that generate tremendous wastes in similar ways without care.
Im pretty confident it is manufactured. Manufactured in the same way the right despise LGQTB and immigrants. If you were too ask them if their hate was driven by other sources they say the same thing. Nobody is immune to it especially if we agree with thing. We all just go with it.
Doesn’t change that we know fox news plays a big part of some people’s opinions and views. Doesn’t mean those people are not racist or bigots to begin with. But there’s a stoking of the flames. Same here.
