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ChatGPT Pro

openai.com

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Re: ChatGPT Pro

#851

Post by mordae »

msoad wrote: post #779

I paid $200 but it can't figure out something this simple. Sonnet 3.5 gets this question right https://chatgpt.com/share/67528a78-c61c-8007-b6fa-1d1deb8d84... I'm going to give it one month. So far I'm inclined to not pay this crazy fee if the performance is like this

Right. Sonnet 3.5, yesterday. Converted Woodpecker pipeline into Forgejo, then modified to use buildah instead of docker. That's baseline right now.

The tough questions are when one asks about what shadow shapes from a single light can be expected on faces inside a regular voxel grid. That's where it just holds the duck.

Re: ChatGPT Pro

#852

Post by trod1234 »

freediver wrote: post #722
fudged71 wrote: post #443

OpenAI is racing against two clocks: the commoditization clock (how quickly open-source alternatives catch up) and the monetization clock (their need to generate substantial revenue to justify their valuation). The ultimate success of this strategy depends on what we might call the enterprise AI adoption curve - whether large organizations will prioritize the kind of integrated, reliable, and "safe" AI solutions Open…

I would say this differently. There exists no future where OpenAI both sells models through API and has its own consumer product. They will have to pick one of these things to bet the company on.

There is no real future in AI long term.

Its use caustically destroys more than it creates. It is worthy successor of Pandora's box.

Re: ChatGPT Pro

#853

Post by benterix »

danpalmer wrote: post #515
fudged71 wrote: post #443

OpenAI is racing against two clocks: the commoditization clock (how quickly open-source alternatives catch up) and the monetization clock (their need to generate substantial revenue to justify their valuation). The ultimate success of this strategy depends on what we might call the enterprise AI adoption curve - whether large organizations will prioritize the kind of integrated, reliable, and "safe" AI solutions Open…

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…

That's why Microsoft included OpenAI access in Azure. However, their current offering is quite immature so companies are using several prices of infra to make it usable (for rate limiting, better authentication etc.).

Re: ChatGPT Pro

#854

Post by aiono »

jsheard wrote: post #2

Expect more of this as they scramble to course-correct from losing billions every year, to hitting their 2029 target for profitability. That money's gotta come from somewhere. > Price hikes for the premium ChatGPT have long been rumored. By 2029, OpenAI expects it’ll charge $44 per month for ChatGPT Plus, according to reporting by The New York Times. I suspect a big part of why Sora still isn't available is because t…

Can you link to the source where they state that they want to be profitable in 2029? I am curious.

Re: ChatGPT Pro

#855

Post by creesch »

Mordisquitos wrote: post #453
A_D_E_P_T wrote: post #407

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…

> Aside from favoring the long em-dash (—) which isn't on most keyboards Interesting! I intentionally edit my keyboard layout to include the em-dash, as I enjoy using it out of sheer pomposity—I should undoubtedly delve into the extent to which my own comments have been used to train GPT models!

Just so you know, text using the em-dash like that combined with a few other "tells" makes me double check if it might be LLM written.

Other things are the overuse of transition words (e.g., "however," "furthermore," "moreover," "in summary," "in conclusion,") as well as some other stuff.

It might not be fair to people who write like that naturally, but it is what it is in the current situation we find ourselves in.

Re: ChatGPT Pro

#856

Post by Rastonbury »

danpalmer wrote: post #515
fudged71 wrote: post #443

OpenAI is racing against two clocks: the commoditization clock (how quickly open-source alternatives catch up) and the monetization clock (their need to generate substantial revenue to justify their valuation). The ultimate success of this strategy depends on what we might call the enterprise AI adoption curve - whether large organizations will prioritize the kind of integrated, reliable, and "safe" AI solutions Open…

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…

OAI through their API probably does but I do agree that ChatGPT is not really Enterprise product.For the company the API is the platform play, their enterprise customers are going to be the likes of MSFT, salesforce, zendesk or say Apple to power Siri, these are the ones doing the heavy lifting of selling and making an LLM product that provides value to their enterprise customers. A bit like stripe/AWS. Whether OAI can form a durable platform (vs their competitors or inhouse LLM) is the question here or whether they can offer models at a cost that justifies the upsell of AI features their customers offer

Re: ChatGPT Pro

#857

Post by gloosx »

friendzis wrote: post #797
navane wrote: post #582

Earlier quoted context omitted.

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.

Name a strictly better corporate communication tool than Teams

Email, Jitsi, Matrix/Element, many of them, e2e encrypted and on-premise. No serious company (outside of US) which really care about it's own data privacy would go for MS Teams, which can't even offer decent user experience most of the time.

Re: ChatGPT Pro

#858

Post by fschuett »

ta_1138 wrote: post #67

There are many use cases for which the price can go even higher. I look at recent interactions with people that were working at an interview mill: Multiple people in a boiler room interviewing for companies all day long, with a computer set up so that our audio was being piped to o1. They had a reasonable prompt to remove many chatbot-ism, and make it provide answers that seem people-like: We were 100% interviewing t…

If any company wants me to be interviewed by AI to represent the client, I'll consider it ethical to let an AI represent me. Then AIs can interview AIs, maybe that'll get me the job. I have strong flashbacks to the movie "Surrogates" for some reason.

Re: ChatGPT Pro

#859

Post by jsheard »

aiono wrote: post #854
jsheard wrote: post #2

Expect more of this as they scramble to course-correct from losing billions every year, to hitting their 2029 target for profitability. That money's gotta come from somewhere. > Price hikes for the premium ChatGPT have long been rumored. By 2029, OpenAI expects it’ll charge $44 per month for ChatGPT Plus, according to reporting by The New York Times. I suspect a big part of why Sora still isn't available is because t…

Can you link to the source where they state that they want to be profitable in 2029? I am curious.

https://finance.yahoo.com/news/report-reveals-openais-44-bil...

Re: ChatGPT Pro

#860

Post by epigramx »

fudged71 wrote: post #443

OpenAI is racing against two clocks: the commoditization clock (how quickly open-source alternatives catch up) and the monetization clock (their need to generate substantial revenue to justify their valuation). The ultimate success of this strategy depends on what we might call the enterprise AI adoption curve - whether large organizations will prioritize the kind of integrated, reliable, and "safe" AI solutions Open…

And the catch-up of logic clock, how fast people catch-up we don't have Skynet within 2 years, but a glorified google search for the next 20 years.
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