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ChatGPT Pro

openai.com

601–610 of 1001 posts

Re: ChatGPT Pro

#601
post #582
post #572

Earlier quoted context omitted.

I wonder if OpenAI can break into enterprise. I don’t see much of a path for them, at least here in the EU. Even if they do manage to build some sort of trust as far as data safety goes, and I’m not sure they’ll have much more luck with that than Facebook had trying to sell that corporate thing they did (still do?). But if they did, they will still be facing the very real issue of having to compete with Microsoft. I…

Teams winning on price instead of quality is very telling of the state of business. Your #1/#2 communication tool being regarded as a cost to be saved upon.

It’s “good enough” and integrates into existing Microsoft solutions (just Outlook meeting request integration, for example), and the competition isn’t dramatically better, more like a side-grade in terms of better usability but less integration.

Re: ChatGPT Pro

#602

Part of my justification for spending $20 per month on ChatGPT Plus was that I'd have the best access to the latest models and advanced features. I'll probably roll back to the free plan rather than pay $20/mo for mid tier plan access and support.

That's a weird reaction. You're not getting any less for your $20.

They probably didn't pay for access to a certain version of a model, they paid for access to the best available model, whatever that is at any given moment. I'm reasonably sure that is even what OpenAI implied (or outright said) their subscription would get them. Now, it's the same amount of money for access to the second best model, which would feel like a regression.

Re: ChatGPT Pro

#603

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…

Switch to Gemini Pro just when you need huge context size. That is what I do.

Re: ChatGPT Pro

#604

I just bought a pro subscription. First impressions: The new o1-Pro model is an insanely good writer. Aside from favoring the long em-dash (—) which isn't on most keyboards, it has none of the quirks and tells of old GPT-4/4o/o1. It managed to totally fool every "AI writing detector" I ran it through. It can handle unusually long prompts. It appears to be very good at complex data analysis. I need to put it through i…

Long emdash is the way -- possible proof of AGI here

Re: ChatGPT Pro

#605

Earlier quoted context omitted.

The problem is that OpenAI don't really have the enterprise market at all. Their APIs are closer in that many companies are using them to power features in other software, primarily Microsoft, but they're not the ones providing end user value to enterprises with APIs. As for ChatGPT, it's a consumer tool, not an enterprise tool. It's not really integrated into an enterprises' existing toolset, it's not integrated int…

Is their valuation proposition self fulfilling: the more people pipe their queries to OpenAI, the more training data they have to get better?

Not for enterprise: The standard terms of that forbid training on queries.

Re: ChatGPT Pro

#606

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/

Re: ChatGPT Pro

#607

I just bought a pro subscription. First impressions: The new o1-Pro model is an insanely good writer. Aside from favoring the long em-dash (—) which isn't on most keyboards, it has none of the quirks and tells of old GPT-4/4o/o1. It managed to totally fool every "AI writing detector" I ran it through. It can handle unusually long prompts. It appears to be very good at complex data analysis. I need to put it through i…

> which isn't on most keyboards

This shouldn’t really be a serious issue nowadays. On macOS it’s Option+Shift+'-', on Windows it’s Ctrl+Alt+Num- or (more cryptic) Alt+0151.

The Swiss army knife solution is to configure yourself a Compose key, and then it’s an easy mnemonic like for example Compose 3 - (and Compose 2 - for en dash).

Re: ChatGPT Pro

#608

Has anyone built a software project from scratch with o1? DB, backend, frontend, apps, tooling, etc? Asking for a friend.

Not o1-preview, it's way too slow. Sonnet 3.5 via Cursor IDE, yes. In fact, I'm writing very little code these days and mostly prompting the LLM to make changes for me and reviewing the changes.

Re: ChatGPT Pro

#609
post #572

Earlier quoted context omitted.

I wonder if OpenAI can break into enterprise. I don’t see much of a path for them, at least here in the EU. Even if they do manage to build some sort of trust as far as data safety goes, and I’m not sure they’ll have much more luck with that than Facebook had trying to sell that corporate thing they did (still do?). But if they did, they will still be facing the very real issue of having to compete with Microsoft. I…

Man, if they can solve that "trust" problem, OpenAI could really have an big advantage. Imagine if they were nonprofit, open source, documented all of the data that their training was being done with, or published all of their boardroom documents. That'd be a real distinguishing advantage. Somebody should start an organization like that.

It's sort of funny how close they were to that until Altman came along.

Re: ChatGPT Pro

#610

Earlier quoted context omitted.

AI writing detectors are snake oil

Startup I'm at has generated a LOT of content using LLMs and once you've reviewed enough of the output, you can easily see specific patterns in the output. Some words/phrases that, by default, it overuses: "dive into", "delve into", "the world of", and others. You correct it with instructions, but it will then find synonyms so there is also a structural pattern to the output that it favors by default. For example, if…

I always assumed that they were snake oil because the training objective is to get a model that writes like a human. AI detectors by definition are showing what does not sound like a human, so presumably people will train the models against the detectors until they no longer provide any signal.
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