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17 points

Based on their funding rounds, $10 billion lasts about 18 months.

So about $555 million per month.

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-7 points

They don’t care if they earn money the next 5-7 years.

And they will hit the point of a great model doing human work for less than a monthly salary. It’s just a matter of time.

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9 points

I’m incredulous.

There was that thread asking what people are using LLMs for and it pretty much came down to “softening language in emails”.

For most jobs LLMs can provide a small productivity bump.

IMO if an LLM can do most of your job then you’re not producing much value anyway.

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5 points

I’d rather say that it’s a matter of exponentially increasing funding and computing power.

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5 points

Without enough funding, they absolutely will care.

Thats between $33 billion and $47 billion at current costs. Someone needs to fund that.

I’d also note that their models seem to be getting worse, with outright irrelevant answers, worse perfoemance, failures in following instructions, etc. Stanford and UC Berkeley did a months-long comparison, and even basic math is going downhill.

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5 points

LLMs are not advancing enough any more. There just isn’t any more useful human generated text to train new models on. The net is already full of AI generated slop. OpenAI currently spends 2.35 USD to make 1 USD. It’s fundamentally unsustainable.

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-2 points

It costs 1 billion dollars to develop solar cells before they even sell the first product.

The costed 100.000 dollars when starting to sell.

They go for under 10 bucks per square today.

And it’s like that for any technology ever invented.

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1 point

I am honestly very very curious: how?

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