AI and the Human Mind: Our Third Brain? 
Recently, having completed my 5-generational researched and
developed puppetry film project, it is prudent to discuss the threat of
Artificial Intelligence (AI) and how it might mimic The Bridge to
Achievement’s (BTA) layered components effectively.
The Irony of The Bridge to Achievement’s lengthy project: How AI mechanical images and sound may affect any completed project output in unknown objectionable ways, yet could have assisted greatly with the long, arduous writing and procedural details process. 
Comparing our own vocal/musical sounds compared with Open AI mechanical sounds
Subsequently, unique talent can become difficult to imitate fully. The inner personality is not like the original spirit. Specialized talent’s feelings and nuances become difficult to convey mechanically.
Spoken and musical phrasing is unique to the speaker’s voice. It can be interpreted a special way according to the mental rhythm of the intoned speech. Two singer’s or actor’s voices may replicate sound through AI similarly, but the replication would not create the same layered tonal quality, sensation, through emotional, meaningful intent.
For example, prosody and phonological awareness has adapted
mechanical sound variations by Siri chat and in various listening pathology
treatments for simple, direct communicative value. Yet, the BTA offers
multiple, complex, dramatic looping variations for upskilling capabilities
uniquely and artistically.
CEOs are bombarded with tech app requests to streamline
written work procedures and project demands with AI. Unfortunately, there are
multiple constraints: algorithms take time to develop, are costly to build as
each factor has variables. To complicate the situation, there are few data scientists
available to fill the roles, let alone convey reasonable expectations and
That being said, how will the written sentence convey consistent, intended messaging with logic and reasoning? Unfortunately, ChatGBT platforms can convey misinformation leading to a myriad of personal and legal entanglements. This aspect will be determined in written evaluative discourse within future data outcomes.
 Hao, J, Cutter, C., and Morenne, B, (February
20, 2023). From CEOs to Coders, Employees Experiment with New AI Programs.
 Erland, J. K. (© 2008). Downloadable, unpublished report. Five Generations, 27-years of iterative Brain-Based Accelerative Learning Experimentation Demonstrate Cognitive Skill Improvement Enhances Academic and Career Goals. (https://memspan/jalt).