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95% of Companies See ‘Zero Return’ on $30 Billion Generative AI Spend, MIT Report Finds
(thedailyadda.com)
this post was submitted on 21 Aug 2025
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Note that I'm not one of the people talking about it on X, I don't know who they are. I just linked it with a simple "this looks like reasoning to me".
https://openai.com/index/introducing-deep-research/
They can't reason. LLMs, the tech all the latest and greatest still are, like GPT5 or whatever generate output by taking every previous token (simplified) and using them to generate the most likely next token. Thanks to their training this results in pretty good human looking language among other things like somewhat effective code output (thanks to sites like stack overflow being included in the training data).
Generating images works essentially the same way but is more easily described as reverse jpg compression. You think I'm joking? No really they start out with static and then transform the static using a bunch of wave functions they came up with during training. LLMs and the image generation stuff is equally able to reason, that being not at all whatsoever
You partly described reasoning tho
https://en.m.wikipedia.org/wiki/Reasoning_system
This link is about reasoning system, not reasoning. Reasoning involves actually understanding the knowledge, not just having it. Testing or validating where knowledge is contradictionary.
LLM doesn't understand the difference between hard and soft rules of the world. Everything is up to debate, everything is just text and words that can be ordered with some probabilities.
It cannot check if something is true, it just 'knows' that someone on the internet talked about something, sometimes with and often without or contradicting resolutions..
It is a gossip machine, that trys to 'reason' about whatever it has heard people say.