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Anthropic raises $13B Series F

(www.anthropic.com)
585 points meetpateltech | 1 comments | | HN request time: 0.2s | source
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llamasushi ◴[] No.45105325[source]
The compute moat is getting absolutely insane. We're basically at the point where you need a small country's GDP just to stay in the game for one more generation of models.

What gets me is that this isn't even a software moat anymore - it's literally just whoever can get their hands on enough GPUs and power infrastructure. TSMC and the power companies are the real kingmakers here. You can have all the talent in the world but if you can't get 100k H100s and a dedicated power plant, you're out.

Wonder how much of this $13B is just prepaying for compute vs actual opex. If it's mostly compute, we're watching something weird happen - like the privatization of Manhattan Project-scale infrastructure. Except instead of enriching uranium we're computing gradient descents lol

The wildest part is we might look back at this as cheap. GPT-4 training was what, $100M? GPT-5/Opus-4 class probably $1B+? At this rate GPT-7 will need its own sovereign wealth fund

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Razengan ◴[] No.45106285[source]
Barely 50 years ago computers used to cost a million dollars and were less powerful than your phone's SIM card.

> GPT-4 training was what, $100M? GPT-5/Opus-4 class probably $1B+?

Your brain? Basically free *(not counting time + food)

Disruption in this space will come from whomever can replicate analog neurons in a better way.

Maybe one day you'll be able to Matrix information directly into your brain and know kung-fu in an instant. Maybe we'll even have a Mentat social class.

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1. jcranmer ◴[] No.45107367[source]
> Barely 50 years ago computers used to cost a million dollars and were less powerful than your phone's SIM card.

Fifty years ago, we were starting to see the very beginning of workstations (not quite the personal computer of modern days), something like this: https://en.wikipedia.org/wiki/Xerox_Alto, which cost ~$100k in inflation-adjusted money.