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1479 points sandslash | 1 comments | | HN request time: 0s | source
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darqis ◴[] No.44317373[source]
when I started coding at the age of 11 in machine code and assembly on the C64, the dream was to create software that creates software. Nowadays it's almost reality, almost because the devil is always in the details. When you're used to write code, writing code is relatively fast. You need this knowledge to debug issues with generated code. However you're now telling AI to fix the bugs in the generated code. I see it kind of like machine code becomes overlaid with asm which becomes overlaid with C or whatever higher level language, which then uses dogma/methodology like MVC and such and on top of that there's now the AI input and generation layer. But it's not widely available. Affording more than 1 computer is a luxury. Many households are even struggling to get by. When you see those what 5 7 Mac Minis, which normal average Joe can afford that or does even have to knowledge to construct an LLM at home? I don't. This is a toy for rich people. Just like with public clouds like AWS, GCP I left out, because the cost is too high and running my own is also too expensive and there are cheaper alternatives that not only cost less but also have way less overhead.

What would be interesting to see is what those kids produced with their vibe coding.

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dist-epoch ◴[] No.44317699[source]
> This is a toy for rich people

GitHub copilot has a free tier.

Google gives you thousands of free LLM API calls per day.

There are other free providers too.

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guappa ◴[] No.44317868[source]
1st dose is free
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infecto ◴[] No.44318058[source]
LLM APIs are pretty darn cheap for most of the developed worlds income levels.
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NoOn3 ◴[] No.44318307[source]
It's cheap now. But if you take into account all the training costs, then at such prices they cannot make a profit in any way. This is called dumping to capture the market.
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infecto ◴[] No.44318415[source]
No doubt the complete cost of training and to getting where we are today has been significant and I don’t know how the accounting will look years from now but you are just making up the rest based on feelings. We know operationally OpenAI is profitable on purely the runtime side, nobody knows how that will look when accounting for R&D but you have no qualification to say they cannot make a profit in any way.
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guappa ◴[] No.44319856{3}[source]
Except they have to retrain constantly, so why would you not consider the cost of training?
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1. infecto ◴[] No.44326856{4}[source]
In the medium to long term that R&D matters. In the short term it’s not as important of a metric. I absolutely agree from an underwriting prospective one would ideally be considering those costs but I also think it’s dishonest to simply say they are bleeding money, end of story.

They dont have to retrain constantly and that’s where opinions like yours fall short. I don’t believe anyone has a concrete vision on the economics in the medium to a long term. It’s biased ignorance to hold a strong position in the down or up case.