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hey212 wrote: Sat May 02, 2026 5:42 pm Correct, back in the days online companies actually had to buy their own servers to exist. Eventually, AWS grew out of the spare server capacity of Amazon's e-commerce business, but even today their e-commerce business is a much larger share of their revenue. However, it's also true that AWS is a much more profitable business line, which allows them to operate the e-commerce side with lower margins.
And they make more money while dropping prices for AWS, which blows up your narrative
hey212 wrote: Sat May 02, 2026 4:22 pm Actually, there are loads of examples of tech services that did not get "better and cheaper", and in fact got significantly more expensive!.....The most obvious examples that come to mind include.....Amazon.
AWS is most certainly better and cheaper than it was 5, 10, or 20 years ago

In fact I followed your lead and asked Claude how much cheaper for the same service over the past 10 years and it said

"You're getting roughly 65–70% more for your dollar in real terms"

I
Last edited by IvyBirds on Sat May 02, 2026 6:31 pm, edited 1 time in total.

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IvyBirds wrote: Sat May 02, 2026 6:23 pm
pekbro wrote: Sat May 02, 2026 5:12 pm Actually Amazon's biggest income stems from Data hosting, which 'is' a technology industry.
I was told that by one of the head guys at Amazon a few years back. They lose ton's of
money elsewhere...

*They came to where I work for a convention and I asked the guy how they managed the free
shipping thing.
Absolutely and they charge less for the same services than they used to
Well, it depends what it is I guess, lately it seems they only know how to charge more for stuff. Which is why I just canceled my prime account. Anyway, not really a fan of how they work, though I do have much admiration for their ingenuity.

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pekbro wrote: Sat May 02, 2026 6:29 pm
IvyBirds wrote: Sat May 02, 2026 6:23 pm
pekbro wrote: Sat May 02, 2026 5:12 pm Actually Amazon's biggest income stems from Data hosting, which 'is' a technology industry.
I was told that by one of the head guys at Amazon a few years back. They lose ton's of
money elsewhere...

*They came to where I work for a convention and I asked the guy how they managed the free
shipping thing.
Absolutely and they charge less for the same services than they used to
Well, it depends what it is I guess, lately it seems they only know how to charge more for stuff. Which is why I just canceled my prime account. Anyway, not really a fan of how they work, though I do have much admiration for their ingenuity.
Prime isn't AWS however. It's main benefit is free expedited shipping on physical goods from Amazon warehouses usually delivered in their own trucks or vans

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I was pretty much only using it for prime video, which is why it was no longer worth it for me.
Amazon is amazon as far as I'm concerned, a hideously successful enterprise.

I can just get someone to order for me anyway, just like Costco :lol:

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IvyBirds wrote: Sat May 02, 2026 6:23 pm And they make more money while dropping prices for AWS, which blows up your narrative.

AWS is most certainly better and cheaper than it was 5, 10, or 20 years ago
Once again, as I already said, I was referring to Amazon's e-commerce business, which did get more expensive, not AWS.

The fact that AWS got cheaper, does not magically erase the fact that Uber, Lyft, Netflix, Spotify, Air BnB, and Amazon's e-commerce business all got more expensive, which was my point. That, and the fact that Open AI, based on their massive capex spend, and massive losses, are quite obviously following the same scaling strategy.

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It follows the dot-com bubble many of us in Silicon Valley survived. Lot of crazy ideas, get massive growth, the silly and weak ones die out, then the big ones take over and raise prices. I suspect Anthropic and Google (Gemini) are the winners here. OpenAI is a shaky company investment-wise, living on their 'brand image' just now. Apple did the right thing, had a wait-and-see attitude and they are baking in the AI features into their hardware using smart deals.

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PS: And as a wild guess, Microsoft will purchase the remnants of OpenAI for nice price within a year or two. Oracle's and Meta's AI gambles will wither away, Meta due to less and less subscriptions and Oracle's as companies do not just live on databases. And Grok will always be an opinionated LLM pleasing some anti-woke diehards.

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REAPER + Davinci Resolve Pro on Manjaro KDE. Neve 88m. Focusrite 18i20 2nd gen. Neumann NDH30 headphones. Mics: Telefunken TF39, AT4050, Miktek C7e, EV RE-15. VSTs: u-he Hive 2, F'em, Renoise Redux, Apisonic Speedrum 2.

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hey212 wrote: Sat May 02, 2026 6:44 pm
IvyBirds wrote: Sat May 02, 2026 6:23 pm And they make more money while dropping prices for AWS, which blows up your narrative.

AWS is most certainly better and cheaper than it was 5, 10, or 20 years ago
Once again, as I already said, I was referring to Amazon's e-commerce business, which did get more expensive, not AWS.

The fact that AWS got cheaper, does not magically erase the fact that Uber, Lyft, Netflix, Spotify, Air BnB, and Amazon's e-commerce business all got more expensive, which was my point. That, and the fact that Open AI, based on their massive capex spend, and massive losses, are quite obviously following the same scaling strategy.
But that is not a technology company, that is a traditional mail order company selling goods out of a warehouse and shipping it to you. The technology isn't the product being sold physical goods are.

Sears and Roebuck was doing the exact same thing in the 1800s. Jeff Bezos started Amazon selling actual books out of a garage using a website to market them instead of a paper catalog

To compare a mail order company that sells physical goods with an AI company that sells no physical goods at all isn't really a valid comparison



I ordered Burger King for lunch today using an app on my phone, is Burger King also a technology company?

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OMG Ivy your analogies are always trash.
REAPER + Davinci Resolve Pro on Manjaro KDE. Neve 88m. Focusrite 18i20 2nd gen. Neumann NDH30 headphones. Mics: Telefunken TF39, AT4050, Miktek C7e, EV RE-15. VSTs: u-he Hive 2, F'em, Renoise Redux, Apisonic Speedrum 2.

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And still missing the point.

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I've been following this thread since the beginning and found it quite entertaining. However I am wondering why this conversation exists in the Instruments Forum rather than perhaps, the Computer Setup or Machine learning forums? Just sayin'.
On a number of Macs

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TechHaus wrote: Sat May 02, 2026 7:00 pm New open source tool alert:

https://www.openmonoagent.ai/
https://github.com/StartupHakk/OpenMonoAgent.ai

The unlimited tokens part is misleading here. It's unlimited for local models, like any coding agent that can use local models, e.g., opencode. This part, however. :"Sandboxed by default
Docker-native. The agent mounts your project in and can't escape. Permission gates on every destructive op", is the important part. How that compares to opencode permissions, or, the ease with which it integrates with docker could be useful.

Opencode allows precise permissions, but permission gates are, in general, manual. Structuring the permission oriented workflow matters. I'll explore this and see if it's worth trying alongside of opencode.

That said, while local models are useful for coding, they are not as functional at many tasks as frontier models, moreover, as they get closer, so do the hardware requirements so it doesn't matter to most, even it it's possible for some.

Those of you who think this is going away are really funny. No, I mean it. It all very much sounds like "get off of my lawn." I like that we're seeing some pushback on the larger replacement narrative, but, augmentation is here to stay.

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So we had 1. of Mai, ie. a longer weekend. And what is the result ?
A flood of new releases :lol:


;)
"Plugin has turned Drug now"....and the business knows it.

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Weasel-Boy wrote: Sat May 02, 2026 7:39 pm I've been following this thread since the beginning and found it quite entertaining. However I am wondering why this conversation exists in the Instruments Forum rather than perhaps, the Computer Setup or Machine learning forums? Just sayin'.
Because it has nothing to do with setting up a computer

Also machine learning is a subset of AI but the concept and methodology of AI is a much larger topic. Machine Learning is a subset focused specifically on techniques that allow computers to learn patterns from data. So while all Machine Learning could be considered AI, not all AI is machine learning

Beyond that we are discussing using AI to make instruments so it really belongs here more than those places

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