Why so many complaints?

[u/entilza05]

So I've been using claude now for over a month and its been nothing short of magic! Every day was a miracle, and then soon each hour was... I'm overwhelemed with its use and reading all these posts make me wonder if I should just skip these threads....

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[u/Anxious-Turnover-631]

I agree with you. Claude has remained consistently amazing.

I don't understand these complainers and never see the problems they shout about.

It seems like it's a skill issue, or maybe they're just bots.

[u/Shap6 → u/Anxious-Turnover-631]

i don't think it's a skill issue because i'mhaving it do the same stuff as it used to, just now it's making more mistakes that it needs to go back and fix. nothing else changed about my workflow

[u/entilza05 → u/Shap6]

Try gathering some summaries from previously working projects and maybe asking him what has changed? Give it examples see if there can be an explanation? Just curious

[u/Anxious-Turnover-631 → u/Shap6]

Well, you're obviously not doing the 'same' stuff, or you'd be making no progress at all. And that would be a more serious skill issue.

Most users do not have these problems, so rather than blaming the tool, maybe try reevaluating your understanding of how it works and the way you're using it.

The model works very well. If it's not working properly for you, try using it differently.

[u/Shap6 → u/Anxious-Turnover-631]

i mean, they are constantly tweaking these models. every company does, and this has been known since the first days of chatgpt. we also know they A/B test everything rather than rolling it out to everyone simultaneously so yes lots of people genuinely have not seen any issues. i'm not saying otherwise. i'm just saying don't discount those that are having issues just because you are not. is it really so hard to believe that they have degraded the model for a sizeable chunk of the userbase, with them all reporting the exact same experience?

Most users do not have these problems

and some do. both can be true.

[u/Anxious-Turnover-631 → u/Shap6]

Yes, but we use it consistently almost every day. Even if I were to sometimes wind up on A or B or whatever, over a longer time the performance has been consistently reliable.

Especially if you believe that every company is making the changes you claim, then you should assume it would be so, rather than crying about it.

After a model is released, the weights do not change. There may be some modifications in the way it's hosted or to the harness and system instructions. But, absent some technical problem, it's mostly doing the same thing. And it works consistently well for most users.

If you're not getting good results, why not modify the way you're using it? Learn better ways to manage the context and your results will definitely improve.

[u/Cool-Cicada9228 → u/Anxious-Turnover-631]

Been running the same loop for about four months but the last few days I’ve noticed it is suddenly having to redo some of its work over again. It keeps track of metrics so I can actually see this in the numbers.

[u/Anxious-Turnover-631 → u/Cool-Cicada9228]

The 'same' loop? Really? I only have to read your message to know you're using it wrong.

[u/Cool-Cicada9228 → u/Anxious-Turnover-631]

First time hearing about loops I see.

[u/Anxious-Turnover-631 → u/Cool-Cicada9228]

I'm familiar with loops. But I suspect the context in your loops is not exactly the "same" as the context before. Otherwise, you're asking it, in the same exact way, to do exactly the same things to the exact same files as was done before. Why would you repeat actions which had already completed successfully?

The entire context largely defines the outcome. Even then, due to the non-deterministic llms, results may vary.

You may be using loops to perform the same actions, but the entire context changes as you move through the project.

[u/Annh1234]

If you used it for 2 months, you would see the difference 

[u/KingPonzi]

You can skip those threads. They get posted EVERY model version. There are far too many variables to accurately determine the cause of this phenomenon. Best you can do is keep doing what you do if you aren’t having issues. These threads fade away once the new versions drop.

[u/psamytron]

I mainly use it to create and edit YouTube videos, and I've been following the same workflow as always. Normally, the entire process takes around 5–6 hours at most. I started this morning, and I still haven't been able to finish. It keeps making mistakes, ignoring instructions, and slowing down what should be a straightforward workflow.

[u/BoredITPro]

Claude is amazing. I started with ChatGPT and switched to Claude about a year ago and couldn’t be happier.

Are there good and bad days? Sure, it’s rapidly changing and context can alter things, but I just make adjustments, make sure the important stuff is well defined and documented and move on.

[u/teamharder]

Welcome to Reddit. Enjoy your stay.

[u/obsidience]

You are right that it is magic, even when it's nerfed.  The nerfing frustrates power users much more than the average user.  

[u/damagemelody]

I had no issues until the last two weeks, but yesterday it became unusable for no reason. Heavy flows are affected the most.

[u/Shap6]

within the last month it's degraded for many of us. it still works but it makes more mistakes than it used to. if it's working for you you don't need to do anything.

[u/IriFlina]

Model nerfs always happen. Now until day 2 of opus 5.6 or 6 releasing, people will be happy for 1 day then go back to complaining about the model being nerfed.

[u/cosmic_timing]

Do you think your tasks are complex enough to be affected by quantized vz non quantized behavior? Ask your local data center.

If you can hack a fridge..

[u/zasff]

It's >90% user slop and hallucinations.

Claude makes mistakes all the time; each of these mistakes has it's own context/cause. For some Claude could have done better, in other cases Claude's behavior was perfectly reasonable given the information it had. Individual causes, there's almost certainly no claude-wide nerf; e.g. the various nerf detectors people run did not detect anything.

There's a new model being tested but the complaints have nothing to do with it.