Achieving AI-style reasoning without an LLM
edwardchalk
46 points
31 comments
October 22, 2026
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Discussion Highlights (12 comments)
kangalioo
Never seen that one before: "Insufficient Storage The method could not be performed on the resource because the server is unable to store the representation needed to successfully complete the request. There is insufficient free space left in your storage allocation. Additionally, a 507 Insufficient Storage error was encountered while trying to use an ErrorDocument to handle the request."
jstanley
I can't see where you can try this out, so at the moment it's a lot of claims and no real evidence. Also the text feels like it was written by an LLM. If it's really such a small model why not provide a web interface where we can test it for ourselves? This feels like high risk of being crackpottery.
suddenlybananas
It's really a nitpick but putting a big, obvious AI generated slop photo at the top of your post is a signal for bad quality content. I would recommend to avoid doing it.
iterance
The associated paper is (I will say generously) not forthcoming: https://zenodo.org/records/23526702 I can also find no working model. I expect this may be disregarded for now.
8474_s
> without a LLM https://github.com/pcoz/decisionator 2. Obtain an OpenAI API Key Sign up at OpenAI Create an API key
vintagedave
> A large language model is trained to predict the next word of a piece of text. … simply asking a model to “think step by step” makes its answers better. I thought both these statements were no longer held to be broadly true? At least in big lab or frontier models.
cubefox
This might have been written by someone suffering from AI psychosis.
glimshe
When I read the title, I thought this was a joke and the article would just say: "Think by yourself". Although that's arguably way superior to AI-style reasoning.
bvan
I want to believe… but..
MrOrelliOReilly
Chicanery! As others have stated, this is total AI slop. How do these things get upvoted?
anentropic
Ironically it seems to have been made by LLM ...?
zefir
As a Prolog enthusiast and someone who had followed Newell & Simon's SOAR work etc., this was intriguing. There are some respositories that seem related: https://github.com/pcoz/operational-representation-of-system... But, it is disappointing that the summary does seem to be AI-generated slop and I can't find code reproducing the claims as described.