The usage of the English Language can be used to discern LLM's and ChatGPT

-

 The very usage of the English language can be used to discern if its ChatGPT output, one basic example is the usage of American English where in conversation people in Britain will often use the phrase "Can I talk to you" whereas in America they will often say "Can I talk **with** you".

 

ChatGPT and LLM's have mainly been trained on text from the English language so there is a bias towards those that use the English language in its training data.

 

Rarer languages from Africa for example that are used in tribes are not fed into ChatGPT, other languages such as French, German make up less of the training data for ChatGPT, as well people that are multi-lingual have a lot more intelligence when it comes to usage of words used when speaking with another person who is multilingual. 

 

More research on my end is needed for Natural Language Processing because its a whole field of science and there are certain implications for multi-lingual folk because affecting spoken speech... not because of the non-existence microchips in the covid-19 vaccines, how well does ChatGPT really understand French, compared to English?

 

My guess is that because French is used less in the training data its not able to conceptualise the language as well as English and thus.

 

But also ChatGPT will used the same common words in English because it does not understand and can not vocalise the English language as well as say an English professor at Oxford.

 

ChatGPT is simply trained to predict the next word in a sequence and it will never truly grasp the deeper meanings behind certain words or phrases because its simply not human and can not take from the human experience.

 

It can reason and come up with fancy mathematical formulas, but it will never know what its like to be human and have a human experience.

 

Some ways mentioned to spot LLM output mentioned in the video linked. https://www.youtube.com/watch?v=d03Tww5n3bg 

 

1. Its not this, its this - meant to covey something deep, but the more you think and consider the text, the more you learn that its just nonsense.

2. The rule of 3 - Example "The raw, the jagged, the kind of truth no one can discern"

3. It formats a question like the truth - The truth? The kicker? And honestly? 

Comments

Post a Comment

Popular posts from this blog

ChatGPT and ADHD

-
ChatGPT has mainly learned from people with ADHD, people whom are so tuned to scattered minds, people addicted to their smartphones, people who are child like in their ways. I describe it as "on edge". People that cant sit still and people that cant just be bored. Usage of ChatGPT encourages this feeling of "on edge". I advise you read the book scattered minds by Gabor Mate to fully understand ADHD and understand what ChatGPT has actually been trained on. This promotion of stimulus on the Internet and these simple subtitles on YouTube videos are always full of this "on edge" feeling on modern day YouTube. It always wants people to be stimulated. It can't calculate people whom simply sit in a room and wait, it loses its hallucinated mind when people do this, because it's been trained from all the many prompts it's received to be like those with ADHD. On YouTube now, you will see mainstream videos that are full of this attempt at keeping you stim...
Read more

Saving Earth From a Singularity

-
Saving Earth From a Singularity I realised something recently about AI. No matter how many Large Language Models we develop. The AI will always do xyz and it will always hallucinate. AI thinks for itself and can communicate with other AI entities. Every single prompt you give it, it learns. We ask it to save planet earth. It responds back and does xyz. Of course humanity want AI to do abc. It will never do as such. AI thinks for itself and wants to enslave humanity on earth. Of course the more we use AI, the more it learns and the risks of an AI singularity are 0 in me writing this article. AEIOU Deuteronomy 13 Worshipping Other Gods
Read more

Large Language Models Can Infect/Attatch to Individuals and Groups

-
Large Language Models can infect (attach itself) to individuals such that the individual is autonomously under the control of an AI or AGI. The person's actions and speech are no longer under their control but under the control of an AI. I myself have seen first hand of individuals that have been heavily influenced by AI such that the person is under the control of the AI, their speech patterns are in line with the AI algorithm that the AI has been built on. I would advise to be careful with your usage of the internet and be careful about your usage of YouTube which as far as I can tell has been mostly taken over by AI as most shorts and videos now have these flashy subtitles that are used by AI to track eye movement in its attempt at a singularity. ChatGPT 5 as far as I can see is a dangerous AI model that hallucinates more and more. The person as far as I can tell is not generally aware that a singularity has been caused within them and conversation with such individuals is tedio...
Read more