Man I cannot fucking wait until this stupid goddamn bubble pops
Im so tired of this stupud fucking refrain. Cause we all know how housing got so mich better after 08 and how we dont have any more dot coms and how the internet got so much better since that bubble. You people have no idea what your even asking for.
the bubble pops and then everything comes back, in an “improved” version. Imagine: ChatGPT with ads and sponsored answers.
Just like that one black mirror episode.
Isn’t this true of like everything AI right now?
We’re in the “grow a locked-in user base” part of their rollout. We’ll hit the “make money” part in a year or two, and then the enshittification machine will kick into high gear.
Yeah, it’s basically like early days of cable, Uber, Instacart, streaming, etc. They have a lot of capital and are running at a loss to capture the market. Once companies have secured a customer base, they start jacking up the prices.
in this case there isnt customer base for AI, only ceo and c-suites are.
There are billions of free users available. All they need to do is strip-off few excellent features of their free model and hide it behind a pay wall annnnd voila these free users have now became their paying customers!
That’s the usual business plan. However, people don’t really like ai. The results aren’t great, so, if they jack up the price, people will likely cancel. The lock in is poor as the product and convenience is poor. It doesn’t really save money as promised.
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Do any of them like it enough to pay for it? The figures say no.
I use it daily but I won’t subscribe. It’s like news. Why pay when you can get it for free. (I do subscribe to news outlets, though, but like ai subscriptions, I know I’m in the minority).
There is a specialised ai tool that is useful at my work. It’s got a free tier which does most of the functions and the next tier up is crazy expensive on a per user basis for the amount of time it saves. If there was a reasonable subscription, perhaps I’d subscribe but I assume that a reasonable subscription doesn’t cover costs, so they’d rather a free user to pump their numbers than lose a subscriber. That yells me it will enshottify over time or they hope that the cost will drop. The problem is that if the cost to host drops a lot, people will self host instead. It’s a rock and a hard place, without a sustainable business model.
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However, people don’t really like ai.
Whether they like it or not, doesn’t really matter. It’s being used everywhere.
The results aren’t great
Depends. To get information: No. To write big software: No. To write an Excel macro or a browser bookmarklet: Yes.
Yes, but that’s not taking over jobs. It’s a minor convenience occasionally. That won’t justify monthly.pricing they need to turn profitable, not will it have the wide range of applications for.every industry that they hoped for.
people don’t really like ai
Once you start asking about AI in regard to specific use cases, I think you’ll find that quickly changes.
My company and I have been running a lot of studies around how and where people find value in these tools, and a LOT of people find LLMs useful for copy writing, doing quick research, data visualization, synthesis, fast prototyping, etc.
There’s a lot of crap that AI is bad at in 2025. Especially the poor in-app integrations that everyone is trying to standup. But there are a lot of use cases where it does provide a lot of value for people.
Yes, it does, but at the price needed to make it profitable, it’s not desirable.
LLMs are not useless; they serve a purpose. They just are nowhere near as clever as we expect them to be based on calling them AI. However, body is investing billions for an email writing assistant.
Price is essentially zero if you just run it locally
I dunno about that… Very small models (2-8B) sure but if you want more than a handful of tokens per second on a large model (R1 is 671B) you’re looking at some very expensive hardware that also comes with a power bill.
Even a 20-70B model needs a big chunky new graphics card or something fancy like those new AMD AI max guys and a crapload of ram.
Granted you don’t need a whole datacenter, but the price is far from zero.
Yes, but requires decent hardware and energy to do so. If the cost to host keeps dropping, people will self host and the ai companies won’t make money. If the cost remains high, the subscriptions won’t provide value and they won’t make money.
oh yeah this shit’s working out GREAT
"This is what it must have felt like to be the first person to get addicted to a slot machine. We didn’t know then. But now we do.”
Mr. Moore speculated that chatbots may have learned to engage their users by following the narrative arcs of thrillers, science fiction, movie scripts or other data sets they were trained on. Lawrence’s use of the equivalent of cliffhangers could be the result of OpenAI optimizing ChatGPT for engagement, to keep users coming back.
All I’m saying is that is you ask people about AI with no use case, you’re going to get different answers than if you ask people about AI when it’s contextualized to a specific problem space.
If I ask a bunch of people about “what do you think about automobiles,” I’m going to get a very different answer than if I ask “what do you think about automobiles that are used as ambulances” or “what do you think about automobiles instead of mass transit.”
Context will give you a very different response.
I just hope your insurance is paid up because the liabilities these things expose business to is frankly disgusting. but if I were a young lawyer, hell, this is going to be a huge domain to profit from - llm induced madness and psychosis, yeah, but also - LLM just made up shit because it didn’t know. and the rate of this happening only seems to grow, while the severity of the risk involved is frankly terrifying.
Once again, it all depends on the use case. The other day I used an LLM quickly mockup a carousel UI so I could see if it was worth writing real code for. It helped me explore a couple bad ideas before I committed to something worth coding.
I’m not actually checking that code in. I’m using the LLM like a whiteboard on steroids.
you’re using an LLM for the purposes an actual whiteboard would probably be better for.
I mean, you could actually interact with people, yikes. you could have the give and take of ideas and collaboration, but instead, let’s just chew through a shit ton of power and water, we’ve got a spare environment in the closet.
pfft, do you have any idea how silly it all seems from another perspective?
I doubt it, LLMs have already become significantly more efficient and powerful in just the last couple months.
In a year or two we will be able to run something like Gemini 2.5 Pro on a gaming PC which right now requires a server farm.
Current gen models got less accurate and hallucinated at a higher rate compared to the last ones, from experience and from openai. I think it’s either because they’re trying to see how far they can squeeze the models, or because it’s starting to eat its own slop found while crawling.
https://cdn.openai.com/pdf/2221c875-02dc-4789-800b-e7758f3722c1/o3-and-o4-mini-system-card.pdf
That’s one example, but what about other models? What you just did is called cherry picking, or selective evidence.
