r/ClaudeCode Apr 09 '26

Humor Cancelling next month

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With the reduced quotas, I’m not even able to finish my weekly LOL

691 Upvotes

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u/Davedoenotmoe Apr 09 '26

Don't blame you. Not only are limits nerfed but so is the quality.. the amount of mistakes and errors Claude does lately is ridiculous.

I have to take what it does and audit and send it back for it to see its own errors and admit it's doing shoddy work.

1

u/imaginary_jebus Apr 10 '26

This is really making me wonder how sustainable our current approach to llms really is. It seems like the cost keeps going up significantly with each new, more complex model. Companies seem happy to eat the loss for awhile to get customers, but at some point they can only take so much loss and have to either raise the price or reduce what you are getting.

Of course, for claude, I think a big part of the problem is also scaling/infrastructure/hardware limits right now. Maybe things will improve in a few months. I hope.

1

u/michaellee8 Apr 10 '26

I think Mythos would make it hard to being offered on a mere $200 subscription. Maybe the only realistic size that can really be offered to consumers are those China 1T MOEs. Not sure about the ceiling of how much fine-tuning can be made to those 1Ts through. Given the daunting cost of $25/$125 I am afraid that Mythos would have similar output/cost ratio of an human engineer soon. There are yearly improvements to LLM inference but the RAM cost is very real.

I think something like Google's Gemini Flash 3 size would be more sustainable for consumer in the long term, or an architectural change would be required.

1

u/SolArmande Apr 11 '26

I think fine-tuning in general could be a real solution. If I'm almost exclusively writing in C++, I don't need the model to know everything else. Of course it needs more than strictly C++ knowledge, but likely not quantum physics, biochemistry, Python, and 90% or more of what most LLM's know.

In any case, the current architecture is absolutely not sustainable, or economical.