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The current benefit is that chat has no quota.


Which is probably why they will merge it. You can get a lot done in chat mode, especially if you connect custom MCPs to it. I can't see that continuing.


There is a quota, they just don’t tell you what it is and when it resets. You only get “you’re all out of pro messages, try again later”


Pro messages is like 50 per week for pro 100 and 200 for pro 200.

Regular chat, even on extra high thinking mode, is sort of unlimited. Idk at what point you hit the abuse gaurdrail but its really high whatever it is.


So is it 50 per week or unlimited, because it makes no sense unless chat messages are somehow not "messages"?


For a company with Open in the name, OpenAI is very opaque about things, there are all kinds of limits and quotas that randomly come and go, but they only show you the meters for a couple.

E.g. codex reviews come from codex quota but also has its separate quota they don’t tell you about. Same with security reviews which has another quota still.

So the chat messages can be sent at several effort levels and from various models including 5.6 and 6 pro. The 6 pro messages are limited and they don’t tell you how many you’ve sent or how many are left. But the 5.6 messages seem to be unlimited, however there could just be a much higher unstated quota.


Pro has a specific limit of weekly messages (50 for the $100 and 100 for $200 I believe)

The rest is basically unlimited unless you're doing something very weird.

Meanwhile I cant ask a simple question to Claude, not even to Haiku, because I used my claude code 5h limit.


Why would you accept it when the benchmark's ranking is obviously nonsense. It literally has muse spark 1.3 above 6 astra, 5.6 sol and fable 5. Anyone who has played with any of these models for any amount of time would immediately realize that this is total bunk.


That's the ankle. The actual knee is hidden in the feathers of the body.


Its "pure capabilities" are definitely worse than Fable, but I find codex has a much more pleasant style and is in comparison much more generous with its limits.


Ugh, people are still saying the Codex limits are more generous. They're not, Claude's are over 2x higher, have been for months! [1] It's just that Claude uses far more tokens, 2-3x is common. Except sometimes GPT will use just as many or even go into a compact loop and then your quota is gone, little headroom for hard tasks.

[1] https://devforth.io/agents-for-code/?sortby=monthly-value And I can confirm the numbers, I subscribe to both and watch the numbers


That website seems to suggest that Opus 5 spends ~57 cents per task, while GPT 5.6 Sol spends ~49 cents per task? That ratio doesn't feel quite right to me. Artificial Analysis says Opus 5 High costs nearly ~3x as much as GPT 5.6 Sol High for a given task: https://artificialanalysis.ai/models/comparisons/claude-opus...


No no our coffee is not more expensive! The serving sizes are just smaller!


Yeah I subscribe to both and watch the numbers too, and it drives me nuts

Who wants to actually watch anyways, rather than worry about it my team just created our own harness that prioritize usage + intelligence and assigns work out (and records token usage..)

https://go7workhorse.com

Still beta, please try it and give me feedback.


I don't get it. It's the same result.


> people are still saying the Codex limits are more generous. They're not

They are if you follow Tibo on the resets.


Well at the end of the day, I can finish more work with the codex limits.


Codex (+Sol) feels a lot more human for sure. Fable 5 is so, so wordy.


It used to be true up to 2w ago, but with the new/reinstated 5h limits I wouldn't be so sure anymore...


that's news to me, I'm still getting weekly limits, no hourly limits.


Claude has a better 5hr limit?


It's probably GLM 5.3 flash, so weaker but cheaper.


With vision on top


These exist and are used. The issue is that because they're so much smaller, they're also much worse, so they tend to have lots of false positives while still being easy to circumvent.


The fundamental issue is that for these systems bigger is essentially always better (if affordable). So if we can squash something like Kimi K3 down to run on a 'normal' system, that just incentivizes devs to increase the model size until once again we're at the limit of what can be run.


This is not what the bitter lesson is about. It's not "don't develop better methods, just scale", it's that those methods which scale best win. LeCun's work is fundamentally about devising a method that scales better with data than LLMs. Agree with him or not about the feasibility of it, but this is fundamentally still a bitter lesson-pilled mindset.


However "world models" have been a thing for the entire history of computers. They have changed names over time: "rules engines", "expert systems", "semantic web", and so on and so forth.

And they have failed every single time.

The bitter lesson essay was written precisely to dismiss that approach, which used to dominate conferences and scientific publications of the era. A general learning system, given sufficient computation power, will always outperform specialized crafted systems in the long run.

Think of it like this: if a world model is a useful abstraction, the general learning system will create it by itself during its training, without us needing to implement it by hand. This is the bitter lesson. And it comes for us all.


This is some bizarre victim inversion. The providers of closed models are the ones who are trying to use regulation to stop their open model competition, not the other way around.


This is how it is with all of these guys, their only principle is "what's good for me", and will twist all narratives to fit it


That's why competition is good though


Now, what if you order a construction crew for building your house? What if you also hire an architect to design the plan? And an overseer who manages everything?

Surely at some point you would stop saying "I built this house", even if you ordered and financed it?


This is getting a bit off-topic, but there are certainly people who will still say that they built it. That is, in a nutshell, how people try to reconcile desert theory with the existence of the super-wealthy.


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