Ai is not even truly ai right now, there’s no intelligence, it’s a statistical model made by training billions of stolen data to spit out the most similar thing to fit the prompt. It can get really creepy because it’s very convincing but on closer inspection it has jarring mistakes that trigger uncanny valley shit. Hallucinations is giving it too much credit, maybe when we get AGI in a decade that’ll fitting.
If I could have the equivalent of a smart speaker that ran the AI model locally and could interface with other files on the system. I would be interested in buying that.
But I don’t need AI in everything in the same way that I don’t need Bluetooth in everything. Sometimes a kettle is just a kettle. It is bad enough we’re putting screens on fridges.
Hi, I’m annoying and want to be helpful. Am I helpful? If I repeat the same options again when you’ve told me I’m not helpful, will that be helpful? I won’t remember this conversation once it’s ended.
Hi, which option have you told me you already don’t want would you like?
Sorry, I didn’t quite catch that, please rage again.
This is because AI is usually used to reduce the human cost to the company, and rarely to reduce the human labour for the customer.
That, or mass surveillance.
As I mentioned in another post, about the same topic:
Slapping the words “artificial intelligence” onto your product makes you look like those shady used cars salesmen: in the best hypothesis it’s misleading, in the worst it’s actually true but poorly done.
This is because the AI of today is a shit sandwich that we’re being told is peanut butter and jelly.
For those who like to party: All the current “AI” technologies use statistics to approximate semantics. They can’t just be semantic, because we don’t know how meaning works or what gives rise to it. So the public is put off because they have an intuitive sense of the ruse.
As long as the mechanics of meaning remain a mystery, “AI” will be parlor tricks.
And I don’t mean to denigrate data science. It is important and powerful. And real machine intelligence may one day emerge from it (or data science may one day point the way). But data science just isn’t AI.
For me, if a company fails to make a clear cut case about why a product of theirs needs AI, I’m gonna assume they just want to misuse AI to cheaply deliver a mediocre product instead of putting in the necessary cost of manhours.
Cue Nicholas Cage face
YA DON’T SAY!!!
d u h
They just don’t get it. Once everyone will use AI toilet and AI toothbrush they will sing a different tune.
I definitely need a toilet that remember and analyze my shit. Yes.
They will try to sell it to you as a way to detect any possible health issues early. But it will just be used to analyze you food patterns to shove mcdonalds ads
too bad I already eat mcdonalds all days
Not sure what happened to it, but this was a thing already in 2005.
I love skibidAI toilet
For some reason I imagine a toilet that automates a stool test and blood test and gives you a health report every month.
If the toilet is receiving a blood sample I have bad news for your monthly health report.
A stool test sure, but I’m not going to trust a toilet to use a sterile needle to draw blood.
We’re seeing a bunch of promises made when LLM were the novel hot shit. Now that we’ve plateaued on how useful they are to the average consumer every AI product is just a beta test that will drop support as soon as something newer and shinier comes along.
Market shows that investors are actively turned on by products that use AI
It’s the new block chain or NFT hype, they think it’s magic.
Market shows that the market buys into hype, not value.
Market shows that hype is a cycle and the AI hype is nearing its end.
How can you tell when the cycle is ending?
When one of two things happens:
- A new hype starts to replace it (can happen fast though!)
- The hype starts to specialize into subcategories of the hype (e.g. AI images, AI videos, AI text generation)
When “AI” hype dies down we are likely to see “AI” removed from various topics because enough people know and understand the hyped parent topic. It’ll just be “image generation”, “video generation”, “generated text”, etc.
There are different types of people in the market. The informed ones hate AI, and the uninformed love it. The informed ones tend to be the cornerstones of businesses, and the uninformed ones tend to be in charge.
So we have… All this. All this nonsense. All because of stupid managers.
Customers worry about what they can do with it, while investors and spectators and vendors worry about buzzwords. Customers determine demand.
Sadly what some of those customers want to do is to somehow improve their own business without thinking, and then they too care about buzzwords, that’s how the hype comes.
Prominent market investor arrested and charged for sexually assaulting AI robot
I’ve been applying similar thinking to my job search. When I see AI listed in a job description, I immediately put the company into one of 3 categories:
- It is an AI company that may go out of business suddenly within the next few years leaving me unemployed and possibly without any severance.
- Management has drank the Kool-Aid and is hoping AI will drive their profit growth, which makes me question management competence. This also has a high likelihood of future job loss, but at least they might pay severance.
- The buzzword was tossed in to make the company look good to investors, but it is not highly relevant to their business. These companies get a partial pass for me.
A company in the first two categories would need to pay a lot to entice me and I would not value their equity offering. The third category is understandable, especially if the success of AI would threaten their business.
There are even companies slapping AI labels onto old tech with timers to trick people into buying it.
That one DankPods video of the “AI Rice cooker” comes to mind
Yeah that’s the one I saw
For what it’s worth, rice cookers have been touting “fuzzy logic” for like 30 years. The term “AI” is pretty much the same, it just wasn’t as buzzy back then.
I hate the feeling that they are continuing to dump real humans who can communicate and respond to issues outside of the rigid framework when it comes to support. AI is also only as good as its data and design. It feels like someone built a self driving car, stuck it on a freshly paved and painted highway and decided it was good to go. Then you take it on an old rural road and end up hitting a tree.
