I'm sure this impacts certain cultures in the US, but I've got to imagine that's a pretty tiny impact compared to pragmatic concerns like "where can I charge this" and "how often do I need to charge this".
What would the math look like to make an EV cheaper than using an ICE car you already own? It looks an awful lot like you're just dodging the numbers yourself.
I would be happy to share the exact numbers I used to figure out replacing a 2017 Ford Fusion with a 2023 Tesla Model 3 would save me money. And it has.
When most people make these comparisons, they don't consider depreciation, trade-in value, or maintenance costs.
I don't understand what I was dodging though. Can you be really specific? Help me out.
That's not just marketing; that's a reality of the market. A corolla is cheaper than any EV on the market, so why would I even consider them? They might as well be luxury cars.
This isn't much comfort when the swiss government bends over and takes other states up the ass at the slightest issue, eg https://www.404media.co/proton-mail-helped-fbi-unmask-anonym.... Why on earth is the swiss state acting like stooge for the fbi? Tell them to go fuck themselves like a normal person.
PGP/GPG (can never remember the difference) is the only privacy solution worth a damn and proton is just a gmail alternative with a nice interface.
> Credit card transactions and banking software run on this model for example
TSYS is super expensive and is dying out. The current generation of banking software is very much shifting to distributed software across commodity data centers.
Current generation of banking software is expanding on the mainframe:
IBM Z mainframes play a pivotal role in facilitating 87% of global credit card transactions, nearly $8 trillion in annual payments, and 29 billion ATM transactions each year, amounting to nearly $5 billion per day. Rosamilia highlighted the continuous growth in demand for capacity over the past decade, which has seen inventory expand by 3.5 times.
That post fails to mention Capital One's move from IBM mainframes to AWS was one of the reasons they suffered one of the largest data breaches in history.
Exactly. The exact opposite of the people flogging internet widgets running on a bunch of AWS instances running Arch/Ubuntu/Cheap distro of the week. Unfortunately that contingent is massively over-represented here on HN.
I work in banking. We provide modern solutions for small local banks in the US. That's how our core runs. It's just Java apps (Spring Boot, Jakarta EE) running in the cloud.
They're awful and hallucinate a lot, I couldn't imagine using it even for prompts about TV shows, even less so for serious work. Repeating the question from the parent, have you tried those yourself? Even compared to ChatGPT Thinking, they're short of useless.
They're essentially replying based on vibes, instead of grounding their responses in extensive web searches, which is what the paid models/configurations generally do. This makes them wrong more often than they're right for anything but the most trivial requests that can be easily responded to out of memorized training data.
This is all on top of the (to me) insufferable tone of the non-thinking models, but that might well be how most users prefer to be talked to, and whether that's how these models should accordingly talk is a much more nuanced question.
Regardless of that, everybody deserves correct answers, even users on the free tier. If this makes the free tier uneconomical to serve for hours on end per user per day, then I'd much rather they limit the number of turns than dial down the quality like that.
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