I think AI has mostly been about luring investors into pumping up share prices rather than offering something of genuine value to consumers.
Some people are gonna lose a lot of other people’s money over it.
Yes, I’m getting some serious dot-com bubble vibes from the whole AI thing. But the dot-com boom produced Amazon, and every company is basically going all-in in the hope they are the new Amazon while in the end most will end up like pets.com but it’s a risk they’re willing to take.
“You might lose all your money, but that is a risk I’m willing to take”
- visionairy AI techbro talking to investors
Investors pump money in a bunch of companies so the chances of at least one of them making it big and paying them back for all the failed investments is almost guaranteed. That’s what taking risks is all about.
Sure, but it SEEMS, that some investors are relying on buzzword and hype, without research and ignoring the fundamentals of investing, i.e. besides the ever evolving claims of the CEO, is the company well managed? What is their cash flow and where is it going a year from now? Do the upper level managers have coke habits?
You’re right, but these fundamentals don’t really matter anymore, investors are buying hype and hoping to sell a bigger hype for more money later.
Seeing the whole thing as Knowingly Trading in Hype is actually a really good insight.
Certainly it neatly explains a lot.
Also called a Ponzi scheme, where every participant knows it’s a scam, but hopes to find some more fools before it crashes and leave with positive balance.
OpenAI will fail. StabilityAI will fail. CivitAI will prevail, mark my words.
I tried to find the advert but I see this on YouTube a lot - an Adobe AI ad which depicts, without shame, AI writing out a newsletter/promo for a business owner’s new product (cookies or ice cream or something), showing the owner putting no effort into their personal product and a customer happily consuming because they were attracted by the thoughtless promo.
How are producers/consumers okay with everything being so mediocre??
How are producers/consumers okay with everything being so mediocre??
“You’re always trying to make everything just a little bit worse so that you can feel good about having a lot more of it. I love it. It’s so human!” - The Good Place
A lot of it is follow the leader type bullshit. For companies in areas where AI is actually beneficial they have already been implementing it for years, quietly because it isn’t something new or exceptional. It is just the tool you use for solving certain problems.
Investors going to bubble though.
Yeah, can make some products better but most of the products these days that use AI, it doesn’t actually need them. It’s annoying to use products that actively shovel AI when it doesn’t even need it.
Ya know what pfoduct MIGHT be better with AI?
Toasters. They have ONE JOB, and everybody agrees their toaster is crap. But you’re not going to buy another toaster, because that too will be crap.
How about a toaster, that accurately, and evenly toasts your bread, and then DOESN’T give you a heart attack at 5am when you’re still half asleep???
IS THAT TOO MUCH TO ASK???
Nah. We already have AI toasters, and they’re ambitious, but rubbish.
Adding AI is just serious overkill for a toaster, especially when it wouldn’t add anything meaningful, not compared to just designing the toaster better.
It only needs one string of conditions that it can understand: don’t catch on fire. Turn yourself off IF smoke.
AI toasters are a Bad Idea
Sweet, I’m the one who gets to link the obligatory Technology Connections toaster video!
Aw man, now I want this toaster.
I said the exact same thing months ago when I saw that video. I don’t even use a toaster.
This is the visionary we need. Take my venture capital millions on a magic carpet ride, time traveler!
My doorbell camera manufacturer now advertises their products as using, “Local AI” meaning, they’re not relying on a cloud service to look at your video in order to detect humans/faces/etc. Honestly, it seems like a good (marketing) move.
Definitely. Many companies have implemented AI without thinking with 3 brain cells.
Great and useful implementation of AI exists, but it’s like 1/100 right now in products.
My old company before they laid me off laid off our entire HR and Comms teams in exchange for ChatGPT Enterprise.
“We can just have an AI chatbot for HR and pay inquiries and ask Dall-e to create icons and other content”.
A friend who still works there told me they’re hiring a bunch of “prompt engineers” to improve the quality of the AI outputs haha
I’m sorry. Hope you find a better job, on the inevitable downswing of the hype, when someone realizes that a prompt can’t replace a person in customer service. Customers will invest more time, i.e., even wait in a purposely engineered holding music hell, to have a real person listen to them.
God that sounds like hell.
That’s an even worse ‘use case’ than I could imagine.
HR should be one of the most protected fields against AI, because you actually need a human resource.
And “prompt engineer” is so stupid. The “job” is only necessary because the AI doesn’t understand what you want to do well enough. The only productive guy you could hire would be a programmer or something, that could actually tinker with the AI.
If my employer is anything to go by, much of it is just unimaginative businesspeople who are afraid of missing out on what everyone else is selling.
At work we were instructed to shove ChatGPT into our systems about a month after it became a thing. It makes no sense in our system and many of us advised management it was irresponsible since it’s giving people advice of very sensitive matters without any guarantee that advice is any good. But no matter, we had to shove it in there, with small print to cover our asses. I bet no one even uses it, but sales can tell customers the product is “AI-driven”.
LLMs: using statistics to generate reasonable-sounding wrong answers from bad data.
Often the answers are pretty good. But you never know if you got a good answer or a bad answer.
And the system doesn’t know either.
For me this is the major issue. A human is capable of saying “I don’t know”. LLMs don’t seem able to.
Accurate.
No matter what question you ask them, they have an answer. Even when you point out their answer was wrong, they just have a different answer. There’s no concept of not knowing the answer, because they don’t know anything in the first place.
The worst for me was a fairly simple programming question. The class it used didn’t exist.
“You are correct, that class was removed in OLD version. Try this updated code instead.”
Gave another made up class name.
Repeated with a newer version number.
It knows what answers smell like, and the same with excuses. Unfortunately there’s no way of knowing whether it’s actually bullshit until you take a whiff of it yourself.
So instead of Prompt Engineer, the more accurate term should be AI Taste Tester?
From what I’ve seen you’ll need an iron stomach.
They really aren’t. Go ask about something in your area of expertise. At first glance, everything will look correct and in order, but the more you read the more it turns out to be complete bullshit. It’s good at getting broad strokes but the details are very often wrong.
Now imagine someone that doesn’t have your expertise reading that answer. They won’t recognize those details are wrong until it’s too late.
That is about the experience I have. I asked it for factual information in the field I work at. It didn’t gave correct answers. Or, it gave working protocols which were strange and would not be successful.
With proper framework, decent assertions are possible.
- It must cite the source and provide the quote, not just a summary.
- An adversarial review must be conducted
If that is done, the work on the human is very low.
That said, it’s STILL imperfect, but this is leagues better than one shot question and answer
Except LLMs don’t store sources.
They don’t even store sentences.
It’s all a stack of massive N-dimensional probability spaces roughly encoding the probabilities of certain tokens (which are mostly but not always words) appearing after groups of tokens in a certain order.
And all of that to just figure out “what’s the most likely next token”, an output which is then added to the input and fed into it again to get the next word and so on, producing sentences one word at a time.
Now, if you feed it as input a long, very precise sentence taken from a unique piece, maybe you’re luck and it will output the correct next word, but if you already have all that you don’t really need an LLM to give you the rest.
Maybe the “framework” you seek - which is quite akin to a indexer with a natural language interface - can be made with AI, but it’s not something you can do with LLMs because their structure is entirely unsuited for it.
The proper framework does, with data store, indexing and access functions.
The cutting edge work is absolutely using LLMs in post-rag pipelines.
Consumer grade chat interfaces def do not do this.
Edit if you worry about topics like context window, sentence splitting or source extraction, you aren’t using a best in class framework any more.
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.
I have no qualms about AI being used in products. But when you have to tell me that something is “powered by AI” as if that’s your main selling point, then you do not have a good product. Tell me what it does, not how it does it.
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.
Meanwhile, I just had Cluade turn a few obscure academic papers into a slide deck on the subject, along with presentation notes and interactive graphs, using like 5 prompts and 15 min.
Market shows that investors are actively turned on by products that use AI
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.
It’s the new block chain or NFT hype, they think it’s magic.
But what if it actually is magic this time? Just this once!? And we miss the hype train?! (This is a sarcastic impression of real conversations I have had.)
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.
Very nicely put!
Sex one way, half ad oxen the other.
<greentext>
Be me
Early adopter of LLMs ever since a random tryout of Replika blew my mind and I set out to figure what the hell was generating its responses
Learn to fine-tune GPT-2 models and have a blast running 30+ subreddit parody bots on r/SubSimGPT2Interactive, including some that generate weird surreal imagery from post titles using VQGAN+CLIP
Have nagging concerns about the industry that produced these toys, start following Timnit Gebru
Begin to sense that something is going wrong when DALLE-2 comes out, clearly targeted at eliminating creative jobs in the bland corporate illustration market. Later, become more disturbed by Stable Diffusion making this, and many much worse things, possible, at massive scale
Try to do something about it by developing one of the first “AI Art” detection tools, intended for use by moderators of subreddits where such content is unwelcome. Get all of my accounts banned from Reddit immediately thereafter
Am dismayed by the viral release of ChatGPT, essentially the same thing as DALLE-2 but text
Grudgingly attempt to see what the fuss is about and install Github Copilot in VSCode. Waste hours of my time debugging code suggestions that turn out to be wrong in subtle, hard-to-spot ways. Switch to using Bing Copilot for “how-to” questions because at least it cites sources and lets me click through to the StackExchange post where the human provided the explanation I need. Admit the thing can be moderately useful and not just a fun dadaist shitposting machine. Have major FOMO about never capitalizing on my early adopter status in any money-making way
Get pissed off by Microsoft’s plans to shove Copilot into every nook and cranny of Windows and Office; casually turn on the Opympics and get bombarded by ads for Gemini and whatever the fuck it is Meta is selling
Start looking for an alternative to Edge despite it being the best-performing web browser by many metrics, as well as despite my history with “AI” and OK-ish experience with Copilot. Horrified to find that Mozilla and Brave are doing the exact same thing
Install Vivaldi, then realize that the Internet it provides access to is dead and enshittified anyway
Daydream about never touching a computer again despite my livelihood depending on it
</greentext>
I haven’t seen any ai in firefox
I like the article I read were ww2 german soldiers were being generated by AI as asians, black woman, etc. Glad it doesn’t take context into consideration. lol
No shit, because we all see that AI is just technospeak for “harvest all your info”.
Not to mention it’s usually dog shit out put
I refuse to use Facebook anymore, but my wife and others do. Apparently the search box is now a Meta AI box, and it pisses them every time. They want the original search back.
That’s another thing companies don’t seem to understand. A lot of them aren’t creating new products and services that use ai, but are removing the existing ones, that people use daily and enjoy, and forcing some ai alternative. Of course people are going to be pissed off!
To be fair, I love my dog but he has the same output 🤷
But no one is investing billions into your dog’s shit, are they?
He’s open to investment 🤷
Yes the cost is sending all of your data to the harvest, but what price can you put on having a virtual dumbass that is frequently wrong?
+ a monthly service fee
for the price of a cup of coffee
They’ve overhyped the hell out of it and slapped those letters on everything including a lot of half baked ideas. Of course people are tired of it and beginning to associate ai with bad marketing.
This whole situation really does feel dotcommish. I suspect we will soon see an ai crash, then a decade or so later it will be ubiquitous but far less hyped.
Thing is, it already was ubiquitous before the AI “boom”. That’s why everything got an AI label added so quickly, because everything was already using machine learning! LLMs are new, but they’re just one form of AI and tbh they don’t do 90% of the stuff they’re marketed as and most things would be better off without them.
LLM based AI was a fun toy when it first broke. Everyone was curious and wanted to play with it, which made it seem super popular. Now that the novelty has worn off, most people are bored and unimpressed with it. The problem is that the tech bros invested so much money in it and they are unwilling to take the loss. They are trying to force it so that they can say they didn’t waste their money.
Honestly they’re still impressive and useful it’s just the hype train overload and trying to implement them in areas they either don’t fit or don’t work well enough yet.
For the love of god, defund MBAs.
Give them a box of crayons to eat so the adults can get some work done
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.
I like the vast majority of my technology dumb, the last barely smart kettle I bought - it had a little screen that showed you temperature and allowed you to keep the water at a particular temperature for 3h - broke within a month. Now I once again have a dumb kettle, it only has the on/off button and has been working perfectly since I got it
I could go for the fridge screen if it was focused more around showing me what was in the fridge without opening the door and making grocery lists.
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.
Give me a bunch of open AI models and a big GPU to play with and I’ll have a great time. It’s a wild world out there.
Shove a bunch of AI nonsense in my face when I didn’t ask for it and I’m throwing your product out a window.
