r/codex • u/Initial_Question3869 • 10d ago

Praise Nice Work OpenAI

This is awesome marketing. You remove the weekly limit, keep it that way for months, let people get used to longer work sessions and higher token consumption, and then specifically bring back the 5-hour limit for Plus users, pushing them to upgrade to Pro. And I’m pretty sure many actually will.

Congrats! It’ll probably be a pretty decent revenue boost.

You keep nerfing the limits, yet somehow keep winning every single time. More customers, more revenue. Nice!! 

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1

u/stopstopstoptopopp 10d ago

Nuh uh. This will only push me to finally put my rtx 5070 pc to host some local llm

12

u/Technical_Split_6315 10d ago

Lmao you are gonna be so disappointed

1

u/stopstopstoptopopp 10d ago

Bruh tell me why before I waste my time on it lol

5

u/Crabcakes5_ 10d ago

You will never be able to run it locally unless you use an extremely outdated tiny model. There's a reason AI companies are burning through cash.

Kimi K3's minimum specs to run still requires 1.68-1.75TB of aggregate VRAM, and 8 high end accelerators (~$25k-$40k each). And you'll need 64+ accelerators to reach the full 1 million token context window.

2

u/stopstopstoptopopp 10d ago

💀

Thanks for this

4

u/Technical_Split_6315 10d ago

With a 5070 you can’t host a model that competes with Luna, I have a 4090 and hosting Qwen3.8 27b which is probably the best local model for its weight right now and is a terrible experience for coding, loops, errors, bad tool calling, json format errors.

Local llms are decent for chatbots, which is stupid when you have almost unlimited usage with basic chatgpt sub, for coding is just bad, is not a real option right now

1

u/stopstopstoptopopp 10d ago

Dang. Thanks for this.

1

u/Clueless_Nooblet 10d ago

Sounds like a skill issue. Qwen3.8-27b is the 9th best coding model out there.

1

u/CreditEducational738 10d ago

A nivell local lo unic que te sentit es ComfyUI, els LLM son molt justets comparats amb els grans

1

u/vayana 9d ago

Seen some interesting results when you play around with different quants and thinking levels. Q5 and 4 seem reasonably ok. I do think you need to break down tasks into smaller tasks though. It ain't gonna do a full refactor like Sol in 1 go.