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ChatGPT Pro

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Re: ChatGPT Pro

#841

I consistently get significantly better performance from Anthropic at a literal order of magnitude less cost. I am incredibly doubtful that this new GPT is 10x Claude unless it is embracing some breakthrough, secret, architecture nobody has heard of.

That's not how pricing works. If o1-pro is 10% better than Claude, but you are a guy who makes $300,000 per year, but now can make $330,000 because o1-pro makes you more productive, then it makes sense to give Sam $2,400.

Yeah, the $200 seems excessive and annoying, until you realise it depends on how much it saves you. For me it needs to save me about 6 hours per month to pay for itself.

Funny enough I've told people that baulk at the $20 that I would pay $200 for the productivity gains of the 4o class models. I already pay $40 to OpenAI, $20 to Anthropic, and $40 to cursor.sh.

Re: ChatGPT Pro

#842

Earlier quoted context omitted.

That's not how pricing works. If o1-pro is 10% better than Claude, but you are a guy who makes $300,000 per year, but now can make $330,000 because o1-pro makes you more productive, then it makes sense to give Sam $2,400.

Having a tool that’s 10% better doesn’t make your whole work 10% better though.

It also doesn’t magically make you more money either.

Re: ChatGPT Pro

#843
post #786

Earlier quoted context omitted.

This remind me why enterprise don't integrated OpenAI product into existing toolset, trust is root reason. It's hard to provide trust to OpenAI that they won't steal data of enterprise to train next model in a market where content is the most valuable element, compared office, cloud database, etc.

OpenAi enterprise plan especially says that they do not train their models with your data. It's in the contract agreement and it's also visible on the bottom of every chatgpt prompt window.

It seems like a damned if you do, damned if you don't. How is ChatGPT going to provide relevant answers to company specific prompts if they don't train on your data?

My personal take is that most companies don't have enough data, and not in sufficiently high quality, to be able to use LLMs for company specific tasks.

Re: ChatGPT Pro

#845

The argument of more compute power for this plan can be true, but this is also a pricing tactic known as the decoy effect or anchoring. Here's how it works: 1. A company introduces a high-priced option (the "decoy"), often not intended to be the best value for most customers. 2. This premium option makes the other plans seem like better deals in comparison, nudging customers toward the one the company actually wants…

I use GPT-4 because 4o is inferior. I keep trying 4o but it consistently underperforms. GPT-4 is not working as hard anymore compared to a few months ago. If this release said it allows GPT-4 more processing time to find more answers and filter them, I’d then see transparency of service and happily pay the money. As it is I’ll still give it a try and figure it out, but I’d like to live in a world where companies can…

Glad I'm not the only one. I see 4o as a lot more of a sidegrade. At this point I mix them up and I legitimately can't tell, sometimes I get bad responses from 4, sometimes 4o.

Responses from gpt-4 sound more like AI, but I haven't had seemingly as many issues as with 4o.

Also the feature of 4o where it just spits out a ton of information, or rewrites the entire code is frustrating

Re: ChatGPT Pro

#846

Question, what stops openai from downgrading existing models so that you're pushed up the subscription tiers to ever more expensive models? I'd imagine they're currently losing a ton of money supplying everyone with decent models with a ton of compute behind them because they want us to become addicted to using them right? The fact that classic free web searching is becoming diluted by low quality AI content will mak…

They don’t need to downgrade what is already downgraded. In my experience ChatGPT was much more capable a year ago than it is now and have become more dogmatic. Their latest updates have focused on optimizing benchmark scenarios while reducing computation costs.

Re: ChatGPT Pro

#847
post #845

Earlier quoted context omitted.

I use GPT-4 because 4o is inferior. I keep trying 4o but it consistently underperforms. GPT-4 is not working as hard anymore compared to a few months ago. If this release said it allows GPT-4 more processing time to find more answers and filter them, I’d then see transparency of service and happily pay the money. As it is I’ll still give it a try and figure it out, but I’d like to live in a world where companies can…

Glad I'm not the only one. I see 4o as a lot more of a sidegrade. At this point I mix them up and I legitimately can't tell, sometimes I get bad responses from 4, sometimes 4o. Responses from gpt-4 sound more like AI, but I haven't had seemingly as many issues as with 4o. Also the feature of 4o where it just spits out a ton of information, or rewrites the entire code is frustrating

GPT-4o just fails to follow instructions and starts looping for me. Sonnet 3.5 never does.

Re: ChatGPT Pro

#850

Why doesn't Pro include longer context windows? I'm a Plus member, and the biggest limitation I am running into by far is the maximum length of a context window. I'm having context fall out of scope throughout the conversion or not being able to give it a large document that I can then interrogate. So if I go from paying $20/month for 32,000 tokens, to $200/month for Pro, I expect something more akin to Enterprise's…

Pro does have longer context windows , specifically 128k. Take a look at the pricing page for this information: https://openai.com/chatgpt/pricing/

It's disappointing because the o1-preview had 128k context length. At least on the API. So they nerfed it and made the original product $200/month.
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