REDACTED

Wtf?

Do I even have to point out the parts you need to read? Go back and start reading at sentence that says "In typical use in the Information Technology field however, the phrase is usually reserved for systems that perform more complex kinds of reasoning.", and then check out NLP page, or part about machine learning, which are all seperate/different reasoning systems, but we just tend to say "reasoning".

Not your hilarious NPC anology.

You partly described reasoning tho

https://en.m.wikipedia.org/wiki/Reasoning_system

But pattern recognition is literally reasoning. Your argument sounds like "it reasons, but not as good as humans, therefore it does not reason"

I feel like you should take a look at this: https://en.m.wikipedia.org/wiki/Reasoning_system

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/

Can you elaborate? How is this not reasoning? Define reasoning to me

Deep research independently discovers, reasons about, and consolidates insights from across the web. To accomplish this, it was trained on real-world tasks requiring browser and Python tool use, using the same reinforcement learning methods behind OpenAI o1, our first reasoning model. While o1 demonstrates impressive capabilities in coding, math, and other technical domains, many real-world challenges demand extensive context and information gathering from diverse online sources. Deep research builds on these reasoning capabilities to bridge that gap, allowing it to take on the types of problems people face in work and everyday life.

I never said it discovered new mathematics (edit: yet), I implied it can reason. This is clear example of reasoning to solve a problem

Fancy autocorrect? Bro lives in 2022

EDIT: For the ignorant: AI has been in rapid development for the past 3 years. For those who are unaware, it can also now generate images and videos, so calling it autocorrect is factually wrong. There are still people here who base their knowledge on 2022 AIs and constantly say ignorant stuff like "they can't reason", while geniuses out there are doing stuff like this: https://xcancel.com/ErnestRyu/status/1958408925864403068

EDIT2: Seems like every AI thread gets flooded with people with showing age who keeps talking about outdated definitions, not knowing which system fits the definition of reasoning, and how that term is used in modern age.

I already linked this below, but for those who want to educate themselves on more up to date terminology and different reasoning systems used in IT and tech world, take a deeper look at this: https://en.m.wikipedia.org/wiki/Reasoning_system

I even loved how one argument went "if you change underlying names, the model will fail more often, meaning it can't reason". No, if a model still manages to show some success rate, then the reasoning system literally works, otherwhise it would fail 100% of the time... Use your heads when arguing.

As another example, but language reasoning and pattern recognition (which is also a reasoning system): https://i.imgur.com/SrLX6cW.jpeg answer; https://i.imgur.com/0sTtwzM.jpeg

Note that there is a difference between what the term is used for outside informational technologies, but we're quite clearly talking about tech and IT, not neuroscience, which would be quite a different reasoning, but these systems used in AI, by modern definitions, are reasoning systems, literally meaning they reason. Think of it like Artificial intelligence versus intelligence.

I will no longer answer comments below as pretty much everyone starts talking about non-IT reasoning or historical applications.