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59nadir 11 hours ago

> It's like people are stuck in the early 2000s when they start thinking about computer capabilities.

This makes sense, because the code people write makes machines feel like they're from the early 2000's.

This is partially a joke, of course, but I think there is a massive chasm between the people who think you immediately need several computers to do things for anything other than redundancy, and the people who see how ridiculously much you can do with one.

Nextgrid 2 hours ago | parent | next [-]

> It's like people are stuck in the early 2000s when they start thinking about computer capabilities.

Partly because the "cloud" makes all its money renting you 2010s-era hardware at inflated prices, and people are either too naive or their career is so invested in it that they can't admit to being ripped off and complicit of the scam.

llm_trw an hour ago | parent [-]

That's what gets me about AWS.

When it came out in 2006 the m1.small was about what you'd get on a mid range desktop at that point. It cost $876 a year [0]. Today for an 8 core machine with 32 gb ram you'll pay $3145.19 [1].

It used to take 12-24 months for you to pay enough AWS bills that it would make sense to buy the hardware outright. Now it's 3 months or less for every category and people still defend this. For ML work stations it's weeks.

[0] https://aws.amazon.com/blogs/aws/dropping-prices-again-ec2-r...

[1] https://instances.vantage.sh/aws/ec2/m8g.2xlarge?region=us-e...

Aeolun 7 hours ago | parent | prev | next [-]

I added performance testing to all our endpoints from the start, so that people don’t start to normalize those 10s response times that our last system had (cry)

AtlasBarfed 3 hours ago | parent | prev [-]

Well that's what happens when you move away from compiled languages to interpreted.