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Posted by hruvhwe 10 hours ago

Models Are Getting Dumber on Purpose(w4g1.dev)
290 points | 163 commentspage 3
algoth1 8 hours ago|
This post is so outdated that reads like ragebait
lowsong 8 hours ago||
> This mostly solves hallucination

The author is factually incorrect here. Moving information out of the model weights and into the input of the model's context window in no way ensures that the model will accurately output content that was input from the context. This is true even when RAG is used to input exactly the correct data.

ripley12 2 hours ago|
It does not guarantee accuracy, but it helps a lot in my experience; I find that models tend to hallucinate a lot more about things that aren't in their context window.
hrmon 9 hours ago||
A sharp critical thinker draws admiration, but it is a joy to talk to some dude who knows stuff.
stefan_ 9 hours ago||
I hope there is interesting research being done to stop models from 9B to 3T from authoritatively giving the wrong answers to factual questions instead of doing tool calls, but this article will tell you nothing about it. That's because it's clearly prompted by someone who simply noticed this deficiency very obvious to all practitioners and even users.
ismael_rr 9 hours ago|
In my experience, it feels like this problem has been mostly solved. When I interact with a chatbot, I see it often uses web search to answer my questions and hallucinates much less then they used to. Furthermore, I suspect a lot of gains are merely from the system prompt instructing the chatbot to use web search to verify all facts it says.
gorgmah 9 hours ago||
> Models Are Getting Dumber on Purpose

I know is editorialized, but a more accurate title to this content would be either :

Models Are Getting Ignorant on Purpose

or

Models Are Getting Less Knowledgeable on Purpose

nubg 8 hours ago||
good article but why did the author feel like he needed to "polish" it by running it through an LLM? i would rather like to read the actual prompt he put in there, as now i'm not sure which points are his, and which have been hallucinated!
KerrAvon 9 hours ago||
> the 24GB card that's been sitting in gaming PCs since 2022.

I'd wager most people have less. In 2022 a 3080 might have 12 GB if you were lucky, 10 if you weren't -- and you paid for the privilege. A current RTX 5080 is only 16GB.

inigyou 5 hours ago||
In 2021 I was considering getting a then-old K80 card because it had the highest VRAM on the market at 24GB and all newer cards had 8 or 12GB.

(Apparently this is because the K80 is two separate GPUs on one card, but I still think it counts if you only have one slot to put it in)

3eb7988a1663 8 hours ago|||
The most recent Steam Hardware Survey[0] lists the most popular VRAM at 16GB in 25.9% of users. Second most popular build is 8GB in 25.3%. >=24GB is ~7%, which is quite a bit higher than I expected.

[0] https://store.steampowered.com/hwsurvey/En

joshheitzman 8 hours ago||
As RAM prices are so nuts, I picked up a used gaming laptop early this year with an RTX 3070 (i.e. 8GB) to match the specs for my gaming tower that's run everything I'm interested in just fine. That includes recent Unreal 5.x games (Satisfactory, Fortnite, etc.) with high graphics settings on a 4k TV (60hz). There aren't a ton of games that require more than 8GB of GPU ram.
mrec 8 hours ago||
I'm still getting by mostly fine with a 4GB 1650 Super. (2020 vintage.)