Live data from Hacker News

ChatGPT Pro

openai.com

331–340 of 1001 posts

Re: ChatGPT Pro

#331
I was using o1-preview on paid chatgpt for a while and I just wasn’t impressed. I actually canceled my subscription, because the free versions of these services are perfectly acceptable as LLMs go in 2024.

Re: ChatGPT Pro

#332
post #140

The main difficulty when pricing a monthly subscription for "unlimited" usage of a product is the 1% of power users who use have extreme use of the product that can kill any profit margins for the product as a whole. Pricing ChatGPT Pro at $200/mo filters it to only power users/enterprise, and given the cost of the GPT-o1 API, it wouldn't surprise me if those power users burn through $200 worth of compute very, very…

Is compute that expensive? An H100 rents at about $2.50/hour, it's 80 hours of pure compute. Assuming 720 hours a month, 1/9 duty cycle around the clock, or 1/3 if we assume 8-hour work day. It's really intense, constant use. And I bet OpenAI spend less on operating their infra than the rate at which cloud providers rent it out.

Does an o1 query run on a singular H100, or on a plurality of H100s?

Re: ChatGPT Pro

#333
post #75

[flagged]

> In other words, it's a con. A con like that wouldn't last very long. This is for people who rely enough on ChatGPT Pro features that it becomes worth it. Whether they pay for it because they're freelance, or their employer does. Just because an LLM doesn't boost your productivity, doesn't mean it doesn't for people in other lines of work. Whether LLM's help you at your work is extremely domain-dependent.

> A con like that wouldn't last very long.

Bernie Madoff ran his investment fund as a Ponzi scheme for over a decade (perhaps several decades)

Re: ChatGPT Pro

#336
I can't even get a normal result with today's gpt4, why would I consider a $200/month subscription? I'm sure I'm not the target but how is this tool worth the buck?

Re: ChatGPT Pro

#337
post #75

[flagged]

> In other words, it's a con. A con like that wouldn't last very long. This is for people who rely enough on ChatGPT Pro features that it becomes worth it. Whether they pay for it because they're freelance, or their employer does. Just because an LLM doesn't boost your productivity, doesn't mean it doesn't for people in other lines of work. Whether LLM's help you at your work is extremely domain-dependent.

A better way to express it than a "con" is that it's a price-framing device. It's like listing a watch at an initial value of $2,000 so that people will feel content to buy it at $400.

Re: ChatGPT Pro

#338
post #221

Earlier quoted context omitted.

If a model is good enough (I’m not saying this one is that level) I could imagine individuals and businesses paying 20,000 a month. If they’re answering questions at phd level (again, not saying this one is) then for a lot of areas this makes sense

Let me know when the models are actually, verifiably, this good. They're barely good enough to replace interns at this point.

If true, $2,400/y isn't bad for a 24/7/365 intern.

Re: ChatGPT Pro

#340
post #75

[flagged]

Wouldn't you say the same thing for most of the people? Most of the people suck at verifying truth and reasoning. Even "intelligent" people make mistakes based on their biases. I think at least LLMs are more receptive to the idea that they may be wrong, and based on that, we can have N diverse LLMs and they may argue more peacefully and build a reliable consensus than N "intelligent" people.

> Wouldn't you say the same thing for most of the people? Most of the people suck at verifying truth and reasoning. Even "intelligent" people make mistakes based on their biases.

I think there's a huge difference because individuals can be reasoned with, convinced they're wrong, and have the ability to verify they're wrong and change their position. If I can convince one person they're wrong about something, they convince others. It has an exponential effect and it's a good way of eliminating common errors.

I don't understand how LLMs will do that. If everyone stops learning and starts relying on LLMs to tell them how to do everything, who will discover the mistakes?

Here's a specific example. I'll pick on LinuxServer since they're big [1], but almost every 'docker-compose.yml' stack you see online will have a database service defined like this:

    services:
      app:
        # ...
        environment:
          - 'DB_HOST=mysql:3306'
        # ...
      mariadb:
        image: linuxserver/mariadb
        container_name: mariadb
        environment:
          - PUID=1000
          - PGID=1000
          - MYSQL_ROOT_PASSWORD=ROOT_ACCESS_PASSWORD
          - TZ=Europe/London
        volumes:
          - /home/user/appdata/mariadb:/config
        ports:
          - 3306:3306
        restart: unless-stopped
Assuming the database is dedicated to that app, and it typically is, publishing port 3306 for the database isn't necessary and is a bad practice because it unnecessarily exposes it to your entire local network. You don't need to publish it because it's already accessible to other containers in the same stack.

Another Docker related example would be a Dockerfile using 'apt[-get]' without the '--error-on=any' switch. Pay attention to Docker build files and you'll realize almost no one uses that switch. Failing to do so allows silent failures of the 'update' command and it's possible to build containers with stale package versions if you have a transient error that affects the 'update' command, but succeeds on a subsequent 'install' command.

There are tons of misunderstandings like that which end up being so common that no one realizes they're doing things wrong. For people, I can do something as simple as posting on HN and others can see my suggestion, verify it's correct, and repeat the solution. Eventually, the misconception is corrected and those paying attention know to ignore the mistakes in all of the old internet posts that will never be updated.

How do you convince ChatGPT the above is correct and that it's a million posts on the internet that are wrong?

1. https://docs.linuxserver.io/general/docker-compose/#multiple...

Post reply on HN