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by lifeisstillgood 4 hours ago
I think this is going to lead towards companies and governments starting to build their own data centres for this kind of thing (reviewing millions of emails to find the smoking gun is what the cops will want to do as will both sides in a civil case). The thing is no-one (probably not OpenAI) wants to send kidnapping footage to data centre in Texas for a Manchester case.

The thing we are all finding now (software devs) is that AI is great but boy is it pricey if we want anything useful …

And walking through millions of pages of digital evidence is going to cost, and I think governments would rather buy a rack of H100s and spread the cost.

So is the national AI drive one to be able to build frontier models, or one to just build data centre or one to build a chips capability a few years behind ?

2 comments

These already exist and have existed for decades. They're called fusion centers.
Interesting, tell me more please! (Google search brings up nuclear fusion or as a brand name)
> The thing we are all finding now (software devs) is that AI is great but boy is it pricey if we want anything useful …

What?

A $200/month subscription to Claude, $100/month at OpenAI, and $25/month with Gemini should get you more than you could possibly use? Unless you really want to take a hands-off approach, in which case DeepSeek is pennies on the dollar...

It's still very cheap, is what I'm saying. Am I missing something?

I think the recent study was that 200 Claude subscription burnt through on average 8000 worth of datacenter and GPU. There is a reason OpenAPI and all are losing a fortune - they are chucking H100s at anyone who types in a query or subscribed to GitHub. It’s a totally unsustainable business model - price things at cost and we will find value in these services - but I won’t pay a fortune for a search result. Even a better search result.

In this case - let the market decide

Your opinion on code quality doesn't match ours (people who agree)
But how does spending more get you better code? Whether you pay API prices or $100-200/month prices, the output seems comparable?

Besides, quality has a lot to do with the person using it & reviewing/editing the code.

Corporation are supposed to pay API prices