Earlier quoted context omitted.
Pro does have longer context windows , specifically 128k. Take a look at the pricing page for this information: https://openai.com/chatgpt/pricing/
ChatGPT and GPT4o APIs have 128K window as well. The 32K is from the days of GPT4.
ChatGPT Pro
951–960 of 1001 posts
Re: ChatGPT Pro
#952Earlier quoted context omitted.
Kagi Ultimate (US$25/mo) includes unlimited use of all the Anthropic models. Full disclosure: I participated in Kagi's crowdfund, so I have some financial stake in the company, but I mainly participated because I'm an enthusiastic customer.
I'm uninformed about this, it may just be superstition, but my feeling while using Kagi in this way is that after using it for a few hours it gets a bit more forgetful. I come back the next day and it's smart again, for while. It's as if there's some kind of soft throttling going on in the background. I'm an enthusiastic customer nonetheless, but it is curious.
Re: ChatGPT Pro
#953Earlier 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…
Won’t name my company, but we rely on Palantir Foundry for our data lake. And the only thing everybody wants [including Palantir itself] is to deploy at scale AI capabilities tied properly to the rest of the toolset/datasets. The issues at the moment are a mix of IP on the data, insurance on the security of private clouds infrastructures, deals between Amazon and Microsoft/OpenAI for the proper integration of ChatGPT…
Re: ChatGPT Pro
#954Earlier quoted context omitted.
No, o1 is definitely not good enough to replace employees. The reason we're launching o1 pro is that we have a small slice of power users who want max usage and max intelligence, and this is just a way to supply that option without making them resort to annoying workarounds like buying 10 accounts and rotating through their rate limits. Really it's just an option for those who'd want it; definitely not trying to push…
Good enough to replace very junior employees. But, then again, how companies going to get senior employees if the world stops producing juniors?
Re: ChatGPT Pro
#955I actually pay 166 Euros a month for Claude Teams. Five seats. And I only use one. For myself. Why do I pay so much? Because the normal paid version (20 USD a month) interrups the chats after a dozen questions and wants me to wait a few hours until I can use it again. But Teams plan gives me way more questions. But why do I pay that much? Because Claude in combination with the Projects feature, where I can upload two…
Re: ChatGPT Pro
#956Earlier 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…
ChatGPT does have an enterprise version. I've seen the enterprise version with a top-5 consulting company, and it answers from their global knowledgebase, cites references, and doesn't train on their data.
Re: ChatGPT Pro
#957Earlier quoted context omitted.
Does an o1 query run on a singular H100, or on a plurality of H100s?
A single H100 has 80GB of memory, meaning that at FP16 you could roughly fit a 40B parameter model on it, or at FP4 quantisation you could fit a 160B parameter model on it. We don't know (I don't think) what quantisation OpenAI use, or how many parameters o1 is, but most likely... ...they probably quantise a bit, but not loads, as they don't want to sacrifice performance. FP8 seems like a possible middle ground. o1 i…
Re: ChatGPT Pro
#958Earlier quoted context omitted.
I've not found value anywhere remotely close to this lol, but i'd buy it to experiment if they had a solid suite of tooling. Ie an LSP that offered real value, maybe a side-monitor assistant that helped me with the code in my IDE of choice, etc. At $200/m merely having a great AI (if it even is that) without insanely good tooling is pointless to me.
I don't know about you, but I get to solve algorithmic challenges relevant to my work approximately once per week to once per month. Most of my job consists of gluing together various pieces of tech that are mostly commodity. For the latter, Claude is great, but for the former, my usage pattern would be poorly served by something that costs $200 and I get to use it maybe a dozen times a month.
A lot of tradeoffs to evaluate and it can be tiring onboarding people, let alone onboarding an AI.
Maybe it would massively improve my job if the AI could just grab the whole codebase, but we're not there yet. Too many LOC, too much legal BS, etc.
Re: ChatGPT Pro
#959Earlier quoted context omitted.
> can kill any profit margins for the product as a whole. Especially when the base line profit margin is negative to begin with
Is there any evidence to suggest this is true? IIRC there was leaked information that OpenAI's revenue was significantly higher than their compute spending, but it wasn't broken down between API and subscriptions so maybe that's just due to people who subscribe and then use it a few times a month.
I can't find any sources _not_ mentioning billions of loss for 2024 and for the foreseeable future
Re: ChatGPT Pro
#960Earlier quoted context omitted.
I'm uninformed about this, it may just be superstition, but my feeling while using Kagi in this way is that after using it for a few hours it gets a bit more forgetful. I come back the next day and it's smart again, for while. It's as if there's some kind of soft throttling going on in the background. I'm an enthusiastic customer nonetheless, but it is curious.
Is that within the same chat?
It struggles with cases that exceed 1000 lines or so. Not that it loses track entirely at that size, it just starts making dumb mistakes.
Then after about 2 or 3 hours, the size at which it starts to struggle drops to maybe 500. A new chat doesn't seem to help, but who can say, it's a difficult thing to quantify. After 12 hours, both me and the AI are feeling fresh again. Or maybe it's just me, idk.
And if you're about to suggest that the real problem here is that there's so much tedious filler in these test cases that even an AI gets bored with them... Yes, yes it is.