The OnlyFans Economy of American AI • Hacker News Board

Re: The OnlyFans Economy of American AI

#161

Post by zozbot234 » Sun, Jun 07, 2026, 5:18 PM UTC

kube-system wrote: post #154

qarl wrote: post #152

Earlier quoted context omitted.

The model we're discussing (Deepseek) is open weight.

Perhaps your prior comment would’ve been better received if it said that specifically instead of “Chinese models”. But also, the latest DeepSeek is 1.6T parameters. “Choosing” to run this locally is a choice that comes with a seven digit price tag, and is a sunk cost that will probably not run any other frontier model anytime soon. Most organizations are not looking to spend millions of dollars trying to find a worka…

> But also, the latest DeepSeek is 1.6T parameters. “Choosing” to run this locally is a choice that comes with a seven digit price tag

Unless you're specifically thinking about running the model at stock precision in a datacenter environment and generating ~100 tok/s or more on a 24/7 basis (the equivalent of a >$1000/mo spend even on the cheapest third-party APIs), that's very likely off by multiple orders of magnitude. Even then, experimentation can be done with cheap neoclouds on a pay-as-you-go basis.

Re: The OnlyFans Economy of American AI

#162

Post by kube-system » Sun, Jun 07, 2026, 5:21 PM UTC

zozbot234 wrote: post #161

kube-system wrote: post #154

Earlier quoted context omitted.

Perhaps your prior comment would’ve been better received if it said that specifically instead of “Chinese models”. But also, the latest DeepSeek is 1.6T parameters. “Choosing” to run this locally is a choice that comes with a seven digit price tag, and is a sunk cost that will probably not run any other frontier model anytime soon. Most organizations are not looking to spend millions of dollars trying to find a worka…

> But also, the latest DeepSeek is 1.6T parameters. “Choosing” to run this locally is a choice that comes with a seven digit price tag Unless you're specifically thinking about running the model at stock precision in a datacenter environment and generating ~100 tok/s or more on a 24/7 basis (the equivalent of a >$1000/mo spend even on the cheapest third-party APIs), that's very likely off by multiple orders of magnit…

I’m aware. The context of the discussion here is choosing DeepSeek over a US hosted model from Google, Anthropic or OpenAI.

The equivalent comparison would be running it at full frontier quality.

If you want less than frontier quality, there’s tons of great open weight models other than DeepSeek.

> cheap neoclouds

Again, fails the compliance checkbox.

Re: The OnlyFans Economy of American AI

#163

Post by throw1234567891 » Sun, Jun 07, 2026, 5:34 PM UTC

SpicyLemonZest wrote: post #70

stevehawk wrote: post #45

Earlier quoted context omitted.

so use the cheap model to do the work and the expensive domestic model to audit?

Or I can just use the domestic model, accepting that I'm paying some premium in order to reduce the complexity of my dependencies and the amount of time I have to spend thinking about supply chain risk. It's the same reason I don't buy things from Alibaba even though many things I buy from Amazon are surely available there for less.

You use “use the model” as if it was equal to “paid some guys to run inference on their hardware”.

Re: The OnlyFans Economy of American AI

#164

Post by joquarky » Sun, Jun 07, 2026, 5:34 PM UTC

kube-system wrote: post #137

JumpCrisscross wrote: post #123

Earlier quoted context omitted.

> OpenRouter’s architecture makes it inherently a compliance nightmare Why?

Because the platform is designed to send data to numerous different backend data processors. Using something like Bedrock is a lot easier for compliance because the only processor is Amazon.

Amazon would never do anything nefarious.

Re: The OnlyFans Economy of American AI

#165

Post by throw1234567891 » Sun, Jun 07, 2026, 5:35 PM UTC

beepbooptheory wrote: post #138

falcor84 wrote: post #40

Earlier quoted context omitted.

There's a higher-order concern here that I'm paranoid enough to voice: that if used as a coding agent, an AI model affiliated with a country's government might try to make my software susceptible to attacks by that government's intelligence forces. And note that I'm not singling out China here.

Almost feels like maybe the best bet is to have humans make the code when its really important.

Because people cannot be manipulated.

Re: The OnlyFans Economy of American AI

#166

Post by throw1234567891 » Sun, Jun 07, 2026, 5:35 PM UTC

joquarky wrote: post #164

kube-system wrote: post #137

Earlier quoted context omitted.

Because the platform is designed to send data to numerous different backend data processors. Using something like Bedrock is a lot easier for compliance because the only processor is Amazon.

Amazon would never do anything nefarious.

That’s not the point.

Re: The OnlyFans Economy of American AI

#167

Post by joquarky » Sun, Jun 07, 2026, 5:36 PM UTC

Levitz wrote: post #19

tcp_handshaker wrote: post #15

Earlier quoted context omitted.

>> Not sending data to known IP thieves, state actors, and competitors in China (or Russia or Israel) seems very rational. As opposed to sending data to known IP thieves, state actors, and competitors in the USA ? Which one is the most irrational?

You can legally act against one, not against the other. Not exactly a hard question.

You can act, but the only winner will be the lawyers.

Re: The OnlyFans Economy of American AI

#168

Post by qarl » Sun, Jun 07, 2026, 5:39 PM UTC

kube-system wrote: post #162

zozbot234 wrote: post #161

Earlier quoted context omitted.

> But also, the latest DeepSeek is 1.6T parameters. “Choosing” to run this locally is a choice that comes with a seven digit price tag Unless you're specifically thinking about running the model at stock precision in a datacenter environment and generating ~100 tok/s or more on a 24/7 basis (the equivalent of a >$1000/mo spend even on the cheapest third-party APIs), that's very likely off by multiple orders of magnit…

I’m aware. The context of the discussion here is choosing DeepSeek over a US hosted model from Google, Anthropic or OpenAI. The equivalent comparison would be running it at full frontier quality. If you want less than frontier quality, there’s tons of great open weight models other than DeepSeek. > cheap neoclouds Again, fails the compliance checkbox.

[flagged]

Re: The OnlyFans Economy of American AI

#169

Post by fwipsy » Sun, Jun 07, 2026, 5:51 PM UTC

twolf910616 wrote: post #34

How many words did I read in this article before I realized it wasn't written by AI? 10? 20? A paragraph or two? It's quite strange that it's very easy to detect AI in writing.

I think in this case "this isn't AI writing" is not a compliment. I find the tone pretty grating, tbh. The author clearly has a very high opinion of themselves. Just explain your ideas clearly so we can evaluate them on their merits.

Re: The OnlyFans Economy of American AI

#170

Post by qarl » Sun, Jun 07, 2026, 5:55 PM UTC

kube-system wrote: post #162

zozbot234 wrote: post #161

Earlier quoted context omitted.

> But also, the latest DeepSeek is 1.6T parameters. “Choosing” to run this locally is a choice that comes with a seven digit price tag Unless you're specifically thinking about running the model at stock precision in a datacenter environment and generating ~100 tok/s or more on a 24/7 basis (the equivalent of a >$1000/mo spend even on the cheapest third-party APIs), that's very likely off by multiple orders of magnit…

I’m aware. The context of the discussion here is choosing DeepSeek over a US hosted model from Google, Anthropic or OpenAI. The equivalent comparison would be running it at full frontier quality. If you want less than frontier quality, there’s tons of great open weight models other than DeepSeek. > cheap neoclouds Again, fails the compliance checkbox.

Azure serves DeepSeek V4 Pro, about 10X cheaper than GPT-5.5.