From: aminer68@gmail.com   
      
   Hello,   
      
      
   More precision of my philosophy about the weakness of Generative Pre-trained   
   Transformer and more of my thoughts..   
      
   I am a white arab from Morocco, and i think i am smart since i have also   
   invented many scalable algorithms and algorithms..   
      
      
   I think i am highly smart since I have passed two certified IQ tests and i   
   have scored "above" 115 IQ,  and i mean that it is "above" 115 IQ,    
   so i think i am discovering the pattern with my fluid intelligence that    
   explains the weakness of Generative Pre-trained Transformer of like ChatGPT,   
   and it is that  ChatGPT can discover the patterns using    
   the existing patterns from the data or knowledge, so it is like using    
   the smartness of the data, but ChatGPT can not use the smartness of the human   
   brain that also comes with human consciousness that optimizes more smartness,   
   so it can not invent highly smart patterns or things from like is doing it a   
   highly smart human    
   from his brain, so i think that ChatGPT will still be not capable of this kind   
   of highly smart creativity, but still it remains really powerful and really   
   useful, so i invite you to read my following previous thoughts that make you   
   understand my views:   
      
      
   More precision of my philosophy about the mechanisms of attention and   
   self-attention of Transformers AI models and more of my thoughts..   
      
      
   I think i am highly smart since I have passed two certified IQ tests and i   
   have scored "above" 115 IQ,  and i mean that it is "above" 115 IQ, i think i   
   am understanding deep learning, but i say that Transformers are deep learning   
   + self-attention and    
   attention, and this attention and self-attention permit to grasp "context" and   
   "antecedents", for example when you say the following sentence:   
      
      
   "The animal didn't cross the street because it was too tired"    
        
      
   So we can ask how the artificial intelligence of ChatGPT that uses    
   Generative Pre-trained Transformer will understand that the "it" in    
   the above sentence is not the street but the animal, so i say that    
   it is with self-attention and attention mechanisms of artificial intelligence   
   and with the training with more and more data that the transformer can   
   "detect" the pattern of the "it" refers to the "animal" in the above sentence,   
   so self-attention and    
   attention of the artificial intelligence of ChatGPT that we call Generative   
   Pre-trained Transformer permit to grasp "context" and "antecedents" too, it is   
   also like logically inferring the patterns using self-attention and attention   
   from the context of    
   the many many sentences from the data, and since the data is exponentially   
   growing and since the artificial intelligence is also generative, so i think   
   it will permit to make the artificial intelligence of the transformer much   
   more powerful, so as you    
   notice that the data is King , and the "generative" word of the Generative   
   Pre-trained Transformer refers to the model's ability to generate text, and of   
   course we are now noticing that it is making ChatGPT really useful and   
   powerful, and of course i say    
   that ChatGPT will still much more improve , and read my following previous   
   thoughts so that to understand my views about it:    
      
      
   More of my philosophy about transformers and about the next GPT-4 and about   
   ChatGPT and more of my thoughts..   
      
      
      
   The capabilities of transformer architectures, as in GPT of ChatGPT that is   
   called Generative Pre-trained Transformer, are truly remarkable, as they allow   
   machine learning models to surpass human reading comprehension and cognitive   
   abilities in many ways.   
    These models are trained on massive amounts of text data, including entire   
   corpora such as the English Wikipedia or the entire internet, which enables   
   them to become highly advanced language models (LMs) with a deep understanding   
   of language and the    
   ability to perform complex predictive analytics based on text analysis. The   
   result is a model that is able to approximate human-level text cognition, or   
   reading, to an exceptional degree - not just simple comprehension, but also   
   the ability to make    
   sophisticated connections and interpretations about the text, because  the   
   network of Transformer pay “attention” to multiple sentences, enabling it   
   to grasp "context" and "antecedents".  These transformer models represent a   
   significant advancement    
   in the field of natural language processing and have the potential to   
   revolutionize how we interact with and understand language.    
      
   GPT-4 is significantly larger and more powerful than GPT-3, with 170 trillion   
   parameters compared to GPT-3’s 175 billion parameters(and even GPT-3.5 of   
   the new ChatGPT has 175 billion parameters). This allows GPT-4 to process and   
   generate text with    
   greater accuracy and fluency, so with feedback from users and a more powerful   
   GPT-4 model coming up and by being trained on a substantially larger amount of   
   data , ChatGPT that will use GPT-4 may "significantly" improve in the future.   
   So i think ChatGPT    
   will still become much more powerful. And i invite you to read my previous   
   thoughts about my experience with the new ChatGPT:   
      
      
   More of my philosophy about my experience with ChatGPT and about artificial   
   intelligence and more of my thoughts..   
      
      
   I think i am highly smart since I have passed two certified IQ tests and i   
   have scored "above" 115 IQ,  and i mean that it is "above" 115 IQ,    
   so in those two last days i have just tested ChatGPT so that to see if    
   this new artificial intelligence launched by OpenAI in November 2022 is   
   efficient, and i think that it is really useful, since i think by testing it   
   that it can score well on the human average smartness, but if you want it to   
   be highly smart by inventing    
   highly smart things , it will not be able to do it, but if you want ChatGPT to   
   be highly smart on what it has learned from the existing smartness of the   
   human knowledge that it has been trained on, i think it can also score high in   
   many times of it, also    
   ChatGPT can in many times make much less errors than humans, so i think that   
   ChatGPT is really useful, and i think that ChatGPT will be improved much more   
   by increasing the size of    
   its transformer  (A transformer is a deep learning model that adopts the   
   mechanism of self-attention) , and i also think that ChatGPT will be    
      
   [continued in next message]   
      
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