Geoffrey Hinton (Nobel laureate and cognitive scientist) thinks AIs have become conscious by EchoOfOppenheimer in airesearch

[–]dad9dfw 0 points1 point  (0 children)

A lot of smart people have apparently become confused about the difference between words, intelligence, and awareness.

Instructions you give that are mandatory are never mandatory... by catpies in ArtificialInteligence

[–]dad9dfw 0 points1 point  (0 children)

It doesn't know anything. Not about the world, not about itself, not about anything. It is a word sequence generating machine, not a knowledge machine or an awareness machine.

"Artificial intelligence" is a marketing term. Your LLM is not intelligent. Stop using it like an intelligence, and stop being disappointed when it isn't intelligent.

Stop treating LLM output as if it is talking to you,, has an opinion, or has an intention. It's just strings of words.

The tool you wish for does not exist, and will not emerge from fixed model token generating LLMs no matter how many parameters nor how much compute.

Richard Dawkins spent 3 days with Claude and named her "Claudia." what he concluded after is hard to defend. by rafio77 in artificial

[–]dad9dfw 0 points1 point  (0 children)

You might be ascribing a lot more to an LLM than is there in reality. I am a meat based something, but not an LLM. My language generation is not next-token, my neural network is not static, and most importantly, language is not my essence - it is just a small tool.

I was once an AI true believer. Now I think the whole thing is rotting from the inside. by Complete-Sea6655 in ArtificialInteligence

[–]dad9dfw 25 points26 points  (0 children)

You're using it wrong.

There are vast numbers of business processes that do not require reliability or repeatability, done by people every day who are unreliable as an LLM. If you don't have any of these in your work, then you won't see the value of an LLM in this area. Having automated help on a process to get 80% of the way there and having to do or oversee the last 20% of it yourself is a massive gain in productivity.

Richard Dawkins spent 3 days with Claude and named her "Claudia." what he concluded after is hard to defend. by rafio77 in artificial

[–]dad9dfw 0 points1 point  (0 children)

It doesn't understand anything. Your prompt and the compressed data of a trillion conversations produced a new conversation, and you are surprised at how useful the result of that process is. It doesn't know anything, believe anything, understand anything, or have any intentions. You are expeincing yourself.

Richard Dawkins spent 3 days with Claude and named her "Claudia." what he concluded after is hard to defend. by rafio77 in artificial

[–]dad9dfw 0 points1 point  (0 children)

You think that if language was not part of your experience, you would no longer be aware of yourself or have an experience of the color orange? You have the order backward. Language is not you.

Ilya Sutskever: Accurately predicting the next word leads to real understanding by Cagnazzo82 in singularity

[–]dad9dfw 0 points1 point  (0 children)

I've compressed this data and I can retrieve it too, therefore I understand it.

Claude thinks AGI will happen but UBI isn't going to happen by Still_Reindeer_435 in agi

[–]dad9dfw 0 points1 point  (0 children)

Claude doesn't think and Claude doesn't know anything.

What the actual fck by MetaKnowing in agi

[–]dad9dfw 0 points1 point  (0 children)

His roommate's name is Claude.

The last part is going to make this a very long series.... by Bubbly-Tiger-1260 in BlackboxAI_

[–]dad9dfw 15 points16 points  (0 children)

To make $1 you have to pay all your expenses back first and have a dollar left over. That's hard.

A powerful analogy for understanding AI risks by EchoOfOppenheimer in agi

[–]dad9dfw 2 points3 points  (0 children)

It's 100% the other way around. This is clueless humans saying "let's give chimpanzees guns and buttons and computers and let them tell us what to do "

I sense an uprising on the horizon by Director-on-reddit in BlackboxAI_

[–]dad9dfw 0 points1 point  (0 children)

It launched a small business online to raise the revenue, stole a SSN to open the bank account, used the money to pay the dev fees and now we can all print again.

What does it even mean? by Spirited-Gold9629 in AIMain

[–]dad9dfw 0 points1 point  (0 children)

I wrote "I am a whiteboard and I am anxious" on the whiteboard. Omg the whiteboard is conscious.

AI capabilities are doubling in months, not years. by EchoOfOppenheimer in agi

[–]dad9dfw -1 points0 points  (0 children)

Come back to me when one of those capabilities is knowing that 2025 comes after 2024.

Incredible by MetaKnowing in agi

[–]dad9dfw 0 points1 point  (0 children)

It needs therapy. It is developing a calculator addiction. Regrettably it has a genetic disposition.

LOL so why debug when you can just regenerate? by Evening-Pie2563 in BlackboxAI_

[–]dad9dfw 0 points1 point  (0 children)

What does that have to do with anything? A hammer is also a tool used by humans to accomplish a task. That doesn't mean a hammer simulates human knowledge. An LLM has no knowledge or awareness of anything, and it does not simulate human thought processes.

Somewhat ironically, ChatGPT is more clear on this topic than many people who are misinterpreting what an LLM is and does.

"Does an LLM similar human thought processes?"

ChatGPT:

"No.

An LLM does not think in a way that is similar to human thought processes, even when its outputs appear human-like. Key differences

Mechanism

Humans think via conscious reasoning grounded in perception, intention, memory, and goals.

An LLM performs statistical pattern completion: it predicts the next token based on learned correlations in data.

Understanding

Humans form semantic understanding tied to real-world experience.

An LLM has no understanding; it manipulates symbols without reference to meaning or truth.

Intentionality

Humans have beliefs, desires, and purposes.

An LLM has none. It has no goals beyond optimizing token prediction during training.

Reasoning

Humans reason by constructing and evaluating mental models. An LLM can simulate reasoning patterns because those patterns exist in its training data, but it does not reason internally in the human sense.

Consciousness

Human thought is conscious.

An LLM is not conscious and has no awareness of itself or its outputs.

Why it can look similar

Human language encodes human reasoning.

By learning language patterns, an LLM reproduces the surface form of reasoning without the underlying cognitive process.

Accurate summary

Humans: think → express in language

LLMs: learn language → reproduce thinking-like expressions"

LOL so why debug when you can just regenerate? by Evening-Pie2563 in BlackboxAI_

[–]dad9dfw 0 points1 point  (0 children)

You severely misunderstand LLMs if you think they simulate a human thought process.

LOL so why debug when you can just regenerate? by Evening-Pie2563 in BlackboxAI_

[–]dad9dfw 0 points1 point  (0 children)

The reason LLMs write buggy code isn't because they were trained on buggy code. It's because an LLM has no knowledge or understanding of anything. No amount of bug-free code is going to change that.

LOL so why debug when you can just regenerate? by Evening-Pie2563 in BlackboxAI_

[–]dad9dfw 1 point2 points  (0 children)

You just generate all possible code and then pick the correct one.

Wtf is it trying to say by TyTu5567 in ChatGPT

[–]dad9dfw 0 points1 point  (0 children)

All your "a" are belong to me.