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sighthrowaway 4 days ago

If you’re more worried about cost than you are being productive and getting good results then sure, stick with foundational model company apps.

paganel 4 days ago | parent [-]

“Being productive” without taking inputs/costs into consideration is an oxymoron.

jmmcd 3 days ago | parent | next [-]

But euros spent on tokens is a tiny fraction of the overall costs of the project.

paganel 3 days ago | parent [-]

That’s the thing, I have never seen detailed costs of what people are spending their money on. I know that for Claude there’s a $200 monthly subscription through which assigned credits one burns pretty fast, at which point (and I may be wrong on this, because I’ve never used the thing) one can run extra code on a “pay as you use it” basis? Again, I might be wrong on this.

I’ve also seen it mentioned a lot of people having 2, 3 or even more subscriptions, which I’m pretty sure that can easily go South when it comes to costs.

But, again, and the most important point, I’ve never seen a detailed post on what people spend on this AI thing on a monthly basis (let’s say).

sighthrowaway 4 days ago | parent | prev [-]

A company that cares more about cost than results is probably a terrible company to work for. They will give you 10yo dell laptop with 8gb memory and complain that you’re slow when it takes 15m to build the application.

So no it’s not an oxymoron.

SiempreViernes 4 days ago | parent [-]

Productivity is literally a statement of the relationship between the result and the cost, presumably you found that out after reading the reply and that is why you switched from "productivity" to "results" in your reply.

hmmmmm03 4 days ago | parent | next [-]

Until you learn what productivity is we can’t continue the conversation.

SiempreViernes 3 days ago | parent [-]

Please at least try to keep track of which sockpuppet you are using in this thread sighthrowaway.

gsykll 3 days ago | parent [-]

[flagged]

wsddfree 4 days ago | parent | prev | next [-]

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urwrong3 4 days ago | parent | prev [-]

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