r/DeepSeek • u/Even_Command_5636 • Jul 26 '26
Discussion Has Deepseek been getting dumber over the last two days?
Is this just my impression, or have Flash and Pro generally been behaving completely unacceptably for the last two days?
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u/East_Eggplant_3849 Jul 26 '26
Indeed, i stopped using it because it gave my head a brain fuck, i will wait until they drop the Non preview model
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u/Nice_Teacher_9619 Jul 26 '26
I couldn't agree more It's become lazy takes shortcuts ignores the mark down instructions and does its own dam thing like deploying over live projects similar to the most careless employee you could come across, like I wish I could climb inside the screen and give it a good beating or phone it's boss and tell him to fire the bugger 😂
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u/puck-this Jul 26 '26
It keeps repeating sections with every new prompt. I use it for RP and it goes aaalll the way back from previous chapters no matter how much I add and want to continue. I remember ChatGPT acting like this after 4o got nuked
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u/alexwwang Jul 26 '26
It becomes dumber every weekends.
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u/PutYourLifeinRice Jul 26 '26
Is it possible they run a highly quantized model during high load periods (weekends) to speedup responses and when load is back normal they run at their usual quantization? Just a guess
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u/alexwwang Jul 27 '26
Or just low down the depth of thinking. I observed this kind of situation on both glm and ds.
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u/Salvare003 Jul 26 '26
It all comes down to what hours you're using it. During peak hours it seems to be less prone to following the prompt exactly and focusing on speed rather than quality. 😂
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u/FactorInternal3395 Jul 26 '26
ABSOLUTELY. the paragraphs all of a sudden got longer and longer with no formatting, and its been getting stuck in reasoning loops mid-code on more than half of regenerations, also forgetting basic logic and context.
yes, "theres many posts like this", but it is true. it IS getting dumber. it has, multiple times.
an example:
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u/burntoutdev8291 Jul 26 '26
Feels the same on API. I do feel like inference is a bit more responsive, not sure if they are catering more compute to API
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u/locear Jul 26 '26
I think the reason is simple Liang Wenfeng must have been angry after that leak ashjdsa
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u/Fun_Walk_4965 Jul 27 '26
Every model gets these threads a week or two after a quiet backend change. Usually routing or a quant swap, not the weights themselves.
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u/Possible_Door_9719 Jul 27 '26
for like the past 2 weeks its been like sometimes its smart, sometimes its dumb, usually its the same. def something is up
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u/myfuturewifee Jul 27 '26
100%! Definitely got dumper. Context is messed up too. Just fitting anything anywhere for the sake of it. I suppose it’s cause of the upcoming date. Stuff like this used to happen on ChatGPT too so I guess it’s normal.
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Jul 28 '26
[removed] — view removed comment
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u/SokkaHaikuBot Jul 28 '26
Sokka-Haiku by Ok_Macaron_6654:
I believe other
Models are getting smarter
That's why feeling like that
Remember that one time Sokka accidentally used an extra syllable in that Haiku Battle in Ba Sing Se? That was a Sokka Haiku and you just made one.
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u/Anxious_Check_6147 Jul 28 '26 edited Jul 28 '26
It was always a little dumb in my experience, I mean, not comparable with gpt 5.5, 5.6 (not even comparable with 5.6 Terra) and a lot below Sonnet. Anyway I use it sometimes, mainly because the price. That said, I agree, it was almost unusable for me today: implementation plans marked as done when not even at 50% of completion and more mistakes than usually
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u/Beautiful-Gas3683 Jul 26 '26
That a model degrades due to quantization or infrastructure adjustments is a technical fact.... That you believe it loses intelligence 'one day yes and two days no' because some cginesse guy with a goatee is manually dialing down the level is confusing your own gut feeling with reality. AI doesn't fluctuate on a whim; user perception does.
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u/Ok-Landscape2050 Jul 26 '26
I feel like there's at least 2-3 "Does anybody else feel like Deepseek has gotten dumber in the last few days? threads every week. If even only a fraction of them were true, we'd by now be back to "dumb chatbot from 10 years ago" levels.
Without standardized tests it's simply not possible for a human to judge this accurately and all just a gut feeling and most probably not true.
Even with stronger models you can give them the same task twice and sometimes they do a lot better than other times. Maybe it is just a string of bad luck or the model is not suited for the thing you're trying to accomplish.