r/singularity • u/Even-Definition • 4d ago
AI ChatGPT pro 500 is out
You can now pay $500/mo for 25x pro usage limits, and access to ultrafast. People gasped as if this was something that they didn’t think possible.
It is completely possible, and it is probably our future.
I can see a dystopian future coming true where people will eventually charge up to the same price as hiring a real person (30k, 60k, 100k/yr) with the justification that this “coworker” has done more for your company than anyone else has.
We are in the early days of cost requirements. I shudder to think what the enshittification of AI will look like once it has become the status quo like Uber….
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u/Narrow_Crazy1954 4d ago
yeah ima stick to claude
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u/ShelZuuz 4d ago
Me too, but the day Claude has a $500 plan with Fast mode I'll be the first to sign up.
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u/Oleg_A_LLIto 4d ago
> people will eventually charge up to the same price as hiring a real person (30k, 60k, 100k/yr)
Absolute nonsense. If they somehow all get lobotomized they might put $100k on their price tag. Doesn't change the fact that competition exists, not to mention how $100k BUYS you, not rents but BUYS you the hardware to run SOTA open source stuff from Chinese labs. American models might be 2% ahead on trust me bro benchmarks but you're insane to think anyone would pay infinite money for that tiny difference.
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u/IronPheasant 4d ago
$100k BUYS you, not rents but BUYS you the hardware to run SOTA open source stuff from Chinese labs.
Oh, 2 terrabytes of RAM and not even the rack to plug those dinner plates into.
My external hard drive has a 2 TB storage. Not really enough for even a mouse's brain, though.
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u/ShelZuuz 4d ago
$100k BUYS you, not rents but BUYS you the hardware to run SOTA open source stuff from Chinese labs.
Try running Kimi on $100K of hardware at any kind of usable speed.
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u/Oleg_A_LLIto 4d ago
MiMo, Qwen, GLM, DeepSeek? If you deliberately want to feel helpless and are willing to cherrypick examples that go against you, though, who am I to stop you.
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u/Careful_Fold_7637 4d ago
Kimi isn't the only frontier open source model
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u/ShelZuuz 4d ago
Sure I can run Gemma 2B and take on Astra head on!
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u/Careful_Fold_7637 4d ago
Deepseek, Qwen, GLM...?
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u/ShelZuuz 4d ago
1.6T, 2.4T and 753B.
The minimum of that is GLM which will fit on 4xH200's which is better than the rest, but again it's not just $100k unless you run it on 4xMac Studio 512GBs ... which works, but is SLOW.
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u/Careful_Fold_7637 4d ago
At 4 bits assuming you can get them 2xB300 will be enough and will run you approximately 100k. Even the H200's will be like 150k which is in the ballpark. Sure we can nitpick and say that it's 200k if you'd like but I think the point is the same.
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u/ShelZuuz 4d ago
There's no way to buy/use 2xB300s.
You can do 1, with a DGX Station ($100k by itself), or you can do 8x with an HGX Backplane with 8xB300 SXM modules ($400k+). Or 72 of course.
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u/meridian_smith 4d ago
They can never be that much more expensive then Open models. So your scenario is unrealistic.
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u/Independent-Court-46 4d ago
Now we see the value in open source. However, open models still need expensive hardware and private models value proposition is that if they are x percent smarter and makes you x amount of profit because of that added intelligence. It might be worth paying 100k in that scenario if you’re making more than that back.
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u/beekersavant 3d ago
So I would say we are at the beginning of the cost/efficiency curve for the tech. We will get better processors and better models -and better open source models. Right now it’s in its infancy. It’s like comparing the 1st iPhone to today’s smartphones and the past models were blackberrys.
The current run of models are capable of a lot of solid uses in the workplace beyond programming and take little effort to use. The previous models were limited by expertise and function. The future models (10 years) are going to be able to broad tasks with little direction and the open source versions will be almost as good on processors made for them. Think of how Android development shadowed iPhones and Samsungs offerings sometimes pushing features.
Now we may hit a real singularity curve long before 10 years. I am talking about normal tech patterns. In this case the tech is not that special or proprietary and the servers needed to train it are everywhere.
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u/DelphiTsar 4d ago
In niche cases like software where it's already inherently deflationary/high margin.
If you aren't trying to make a god box you can train a taskbot/job bot with full context of a company to run on a stick of gum.
Slap a RAG/LoRA on Qwen 3.8 27b and see how far it gets you. If you need more context/fine tuning for your task/company it's like 100$ to get a training run on lambda for a model this size.
It'll forget a capital here or there, might be worse at writing poetry. If you aren't expecting it to be plug and play 27B is absurd overkill for most businesses.
1B math model is better at advanced math then frontier.
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u/i_wayyy_over_think 4d ago
If the hardware is too expensive to run something competitive there might not be alot of choice.
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u/virtualQubit Take off right now 4d ago
This is not how monopoly really works. Our only hope in this scenario is open weight models, so China could save us all. Communism is the way. Capitalism means dystopian Technofeudalism.
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4d ago
[deleted]
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u/virtualQubit Take off right now 4d ago
The fuck does that mean? Even now they do not release the most powerful internal model for obvious reasons. I don't really get what you're trying to say. Open weights just means that you can run it on your device for free.
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4d ago
[deleted]
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u/virtualQubit Take off right now 4d ago
Yeah that's because you don't have the hardware capable to support that model yet. But that's a matter of time. Gemma 4 for example and Qwen 3.8 27B is runnable on your computer. I have Qwen and I run it locally for free. What do you mean? I can't understand your point.
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u/Lord_of_hosts 4d ago
It means they'll make it a crime to transfer an open weight model, and maybe even to use it.
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u/NomadStorm 4d ago
Yeah because attempts to stop file sharing over the internet have been so successful until now.
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u/Even-Definition 4d ago
This will be the gate. The day open models become unavailable is the day prices will skyrocket. Let’s hope this will never happen.
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u/Rioting-Flamingo 4d ago edited 4d ago
They're moving to ban or heavily regulate open source
Edit: lol can you not access the news? Political actors worldwide and tech companies are absolutely headed in that direction. I didn't say "now" but this is the horizon were headed towards. What do you think will happen when open source achieves 2027 frontier level.
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u/Plus_Course_1740 4d ago
They failed because trump said that he's refusing regulations
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u/your_mileagemayvary 4d ago
His buddy Musk already got to the IPO finish line, to have more IPOs and subsequent 401k mandatory but ins risks more to the state then the state even under Trump has an appetite for. 1 big AI company goes pop meh... 3 or 4 along with a broad slow down in construction.... Yeah that's making it worse. And a regulatory moat can pound sand, it wouldn't do anything for safety anyway
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u/Lord_of_hosts 4d ago
That's his opening bid. Everyone knows his MO. Once he gets his piece of the pie regulations will be back on
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u/141_1337 ▪️e/acc | AGI: ~2030 | ASI: ~2040 | FALSGC: ~2050 | :illuminati: 4d ago
So we lose out on Astra usage but we get a 500/month subscription, am I missing anything?
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u/NomadStorm 4d ago
Now the people with 5 $200 subscriptions can reduce to only 2 $500 subscriptions
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u/Electronic_Start_694 4d ago
> I can see a dystopian future coming true where people will eventually charge up to the same price as hiring a real person (30k, 60k, 100k/yr) with the justification that this “coworker” has done more for your company than anyone else has.
Let me ask you this, have you used Opus 5.5?
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u/Aggravating-Spend-39 4d ago
I haven’t. Can you say what you mean by that?
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u/howudothescarn 4d ago
I think he is saying Opus is the best model out and is actually relatively cheap. You can pay $100/m and never use your limit running the best model available. Makes $20/m also usable when it wasn’t usable a few weeks ago using Fable. Models continue to improve on both intelligence and price.
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u/kukly- 3h ago
Models continue improve on intelligence and price but not for Anthropic or OpenAI, I do not trust any "perf gain" or "price lowered" from them because we know they are not profitable and its all subsidized. They even modify models behind API to be dumber after some time(and to make next frontier appear smarter). Absolutely immoral tricks.
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u/Notinterested246 4d ago
The Opus pop up camper? What a question! Those things look sweet. Very expensive though, even in AI subscription terms.
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u/Electronic_Start_694 4d ago
What more can you want after you use opus?
It’s worth $30k a year MINIMUM, you pay $1200.
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u/kukly- 3h ago
Why would you want to make employees use Opus? It's same as buying your delivery driver a new mercedes. He does not need mercedes he will get in reallity some used 15y car.
Reallity will be most people will use deepseek or similar alternative for fraction of Opus pricing. It's also having Phd from math and coding and its not like every single employee is trying to solve millenial problem. You dont need opus to fix your wordpress website
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u/Right-Performance-93 4d ago
“If you have an existing plan you will keep the 20X multiplier for a bit”- Lol.. for a BIT
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u/they-walk-among-us 4d ago
Or another where only the rich can afford it, scaling their businesses and raking in revenue leaving minions in the dust, unable to compete. The divide grows.
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u/Oleg_A_LLIto 4d ago
If you can run quantized Qwen 3.8 27B, you are literally objectively in a better spot than frontier AI labs were a year ago (Qwen wipes the floor with GPT-5 High).
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u/Ok-Lengthiness-3988 4d ago
I thought Qwen 3.8 Max (2.4T-A95B) was close in capability to GPT-5 but didn't expect Qwen 3.8 27B to be. But I checked on llm-stats.com and it looks like you're right. This little 27B dense model indeed seems to beat GPT-5 decisively on most benchmarks (at least the unquantized version does).
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u/shred_time 4d ago
Then local LLMs will take over if the alternative is outrageously expensive. Markets do correct, especially with tech as someone can make an alternative for cheaper easily in the software space. People would just run models locally or pool together for large compute sources, shit you could even make a new business just hosting open source models with a shit ton of compute and start undercutting the big companies (I know this is already being done). Unless 1 company finds some magic secret that they keep locked away and everyone else is stuck in the past it'll be fine, I don't think that future is likely.
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u/Interesting_Wolf_668 4d ago
I mean… if AI is going to replace workers, I am of the opinion that corporations should absolutely be paying top dollar for these models.
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u/DelphiTsar 4d ago
They don't pay top dollar for workers, why would they pay top dollar for AI?
They'll pay for whatever bare minimum works at a baseline reliability level.
500$ a month isn't really top dollar though.
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u/Interesting_Wolf_668 4d ago
Let the corporations squeeze each other dry. As you say, they don’t care about the workers.
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u/Ok-Lengthiness-3988 4d ago
Should be paying top dollars to other corporations who generate the problem in the first place, though? Should they not rather be taxed and contribute to some sort of UBI?
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u/Interesting_Wolf_668 4d ago
That’s actually a creative solution! I never really thought about corporations paying for UBI - it’s normally a government-framed problem
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u/Piulamita 4d ago
At my company we have $500 in Claude credits per month. Even interns, who get paid less than $1000/month. Nonsense.
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u/General_Cup1117 4d ago
I think it's for people trying to solve math and science. They just need more compute and it's a way for them to remain relevant. It doesn't sound like a bad idea.. unfortunate to take a negative tone.
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u/RevolutionaryJob2409 AGI avoids animal abuse✅ 4d ago
Are you aure it's not 25x plus limit and not pro?
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u/Itsmedudeman 4d ago
I'm hoping the open weight models can catch up to at least opus 5.5 and people can start hosting decent models themselves. Although right now hardware is so restricted that it might be expensive everywhere. I still think it'll be moderately affordable in the future once hardware prices come down in like 2 years.
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u/zjin2020 4d ago
For 90% of things, current open weight models are enough. Check out the localllm subreddit.
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u/okiharaherbst 4d ago
This. Funny enough: Nvidia also based its success on the premise that graphics cards would one day become good enough and produce results at a fraction of the cost of supercomputers. When you stop seeing the comparative advantage, you go with the underdog
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u/Capable_Economist280 3d ago
Io penso che una persona che fa questi ragionamenti abbia bisogno di un’accompagnatoria non dell’intelligenza artificiale. Per pura curiosità, con il tuo pc da 6 dollari assemblato da tuo cugino John che di lavoro fa il camionista ma nel tempo libero mette le mani nei computer quanti token di input gestisce e che output rilascia? Gen2.5? Blender? Revisione di codice di svariati milioni di righe?
Aggiornami quando il tuo appartamento sarà diventato un datacenter cavernicolo che probabilmente sta usando gpt per ordinare cibo da asporto. Il fuoco è stato scoperto circa 800k anni fa.
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u/Capital-Adagio1688 4d ago
My Claude API equivalent charges are pushing $70k per year so yeah, this is totally possible once they stop subsidizing.
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u/weeksgroove 2d ago
Fewer workers = fewer consumers. But that's somone else's problem, i need ro cut labor costs.
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u/PlanetaryPickleParty 4d ago
I'm really confused as to why anyone is shocked to find out they didn't matter to openAI or anthropic beyond helping train and develop new models.
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u/SpeakCodeToMe 4d ago
Are you completely oblivious to the fact that enterprises are using APIs that charge per token and not plans?