this post was submitted on 23 Feb 2026
584 points (97.6% liked)

Technology

84699 readers
3194 users here now

This is a most excellent place for technology news and articles.


Our Rules


  1. Follow the lemmy.world rules.
  2. Only tech related news or articles.
  3. Be excellent to each other!
  4. Mod approved content bots can post up to 10 articles per day.
  5. Threads asking for personal tech support may be deleted.
  6. Politics threads may be removed.
  7. No memes allowed as posts, OK to post as comments.
  8. Only approved bots from the list below, this includes using AI responses and summaries. To ask if your bot can be added please contact a mod.
  9. Check for duplicates before posting, duplicates may be removed
  10. Accounts 7 days and younger will have their posts automatically removed.

Approved Bots


founded 2 years ago
MODERATORS
 

Screenshot of this question was making the rounds last week. But this article covers testing against all the well-known models out there.

Also includes outtakes on the 'reasoning' models.

you are viewing a single comment's thread
view the rest of the comments
[–] zalgotext@sh.itjust.works 2 points 2 months ago (1 children)

I can be convinced by contrary evidence if provided. There is no evidence of reasoning in the example you linked. All that proved was that if you prime an LLM with sufficient context, it's better at generating output, which is honestly just more support for calling them statistical auto-complete tools. Try asking it those same questions without feeding it your rules first, and I bet it doesn't generate the right answers. Try asking it those questions 100 times after feeding it the rules, I bet it'll generate the wrong answers a few times.

If LLMs are truly capable of reasoning, it shouldn't need your 16 very specific rules on "arithmetic with extra steps" to get your very carefully worded questions correct. Your questions shouldn't need to be carefully worded. They shouldn't get tripped up by trivial "trick questions" like the original one in the post, or any of the dozens of other questions like it that LLMs have proven incapable of answering on their own. The fact that all of those things do happen supports my claim that they do not reason, or think, or understand - they simply generate output based on their input and internal statistical calculations.

LLMs are like the Wizard of Oz. From afar, they look like these powerful, all-knowing things. The speak confidently and convincingly, and are sometimes even correct! But once you get up close and peek behind the curtain, you realize that it's just some complicated math, clever programming, and a bunch of pirated books back there.