• 1 - Introduction:
• 2 - The Turing Test?
• 3 - Brave New World?
• 4 - Progress:
• 5 - The problem of Consciousness:
• 6 - Conclusion:

1 - Introduction:

1.1 - Request 1:

1.2 - Request 2:

1.3 - Request 3:

1.4 - Request 4:

2 - The Turing Test?

2.1 - Cultural Knowledge:

2.1.1 - Request 5:

2.2 - Reasoning Ability:

2.2.1 - Request 6:

2.2.2 - Request 7:

2.3 - Imagination:

2.3.1 - Request 8:

3 - Brave New World?

3.1 - Mastery of Natural Languages and their subtleties:

3.1.1 - Request 9:

3.1.2 - Request 10:

3.2 - Self-references:

3.2.1 - Request 11:

3.2.2 - Request 12:

"Cette phrase contient 32 caractères".
 ----- ------ -------- -- ----------
 12345 678901 23456789 01 2345678901

3.3 - Logic:

3.3.1 - Request 13:

3.3.2 - Request 14:

• This request was made on 02/29/2024, while at that time the record for the number of calculated digits had been broken several times:
  
  
  • On 03/14/2019, Emma Harula Iwao calculated 31,415,926,535,897 digits,
  • On 01/29/2020, Timothy Mullican reached 50 trillion of digits,
  • On 08/2021, the University of Applied Sciences of the Grisons (HES) computed 62.8 trillion digits.
  
  Thus, more than a billion (1,000,000,000) digits were known by the end of 2021.


• Furthermore, Le Chat -version bêta- contradicts itself by stating that 50 trillion digits (which is much higher than a billion) were known while the billionth digit was not.


• Lastly, claiming that the calculations took several years is false, even if they are undoubtedly very lengthy.

3.3.3 - Request 15:

 
print(2)

3.3.4 - Request 16:

def       is_prime(n):
          if        n< 2 :
                    return False
 
          for       i in range(2, int(n**0.5) + 1) :
                    if        n % i == 0 :
                              return False
          return    True
 
def generate_prime_pairs():
          primes = []
 
          for       i in range(2, 100) :
                    if        is_prime(i) :
                              primes.append(i)
 
          pairs = []
 
          for       i in range(6-1) :
                    if        primes[i+1] - primes[i] == 3 :
                              pairs.append((primes[i], primes[i+1]))
          return    pairs
 
print(generate_prime_pairs())

3.3.5 - Request 17:

def  solve_diophantine_equation():
          for       x in range(1, 1000) :
                    for       y in range(1, 1000) :
                              for       z in range(1, 1000) :
                                        if        x**3 + y**3 == z**3 :
                                                  print(f"Solution found : x={x}, y={y}, z={z}")
 
solve_diophantine_equation()

3.3.6 - Request 18:

3.4 - Elementary Knowledge:

3.4.1 - Request 19:

3.4.2 - Request 20:

 
          1111
          x 1112
          ------
            2222   (1111 x 2)
           11110   (1111 x 10)
          1111000  (1111 x 1000)
          ------
          1234563  (answer)

3.4.4 - Request 21:

3.4.4 - Request 22:

3.4.5 - Request 23:

3.4.6 - Request 24:

3.4.7 - Request 25:

3.5 - Advanced Knowledge:

3.5.1 - Request 26:

3.6 - Hallucinations:

3.6.1 - Request 27:

4 - Progress:

• Through "occasional" human interventions. However, in this case, how can we guarantee that a modification in these complex neural networks does not spread and disrupt other correct information?
• By expanding the knowledge base and validating its content. In this scenario, real-time access to the Internet would be absolutely essential.
• By changing the model. Indeed, if Le Chat -version bêta- is solely based on GPT [01], certain problems cannot be solved by a "simple" natural language model.
• In use cases such as "encyclopedic consultation," where it is essential to distinguish between what is TRUE and what is FALSE, it might be possible to subject Le Chat -version bêta-'s outputs to an "adversarial" AI (as done in the field of picture synthesis or games) that would ensure their accuracy. However, this poses a significant challenge: How can we establish, validate, and update a reliable knowledge base for such an AI? But for us, beings with consciousness, doesn't it play the role of that "antagonistic" AI? Indeed, our subconscious constantly generates information (in a broad sense). When we sleep, our consciousness is no longer active, and our dreams often have the incoherence of certain outputs from Le Chat -version bêta-. However, when we are awake, consciousness then plays the role, if necessary, of a coherence filter, particularly sorting between the TRUE and the FALSE.

5 - The problem of Consciousness:

6 - Conclusion: