Author: Shastri Jagarlapudi

Video Transcript: Thus far, the videos of the 10-part whiteboard series have focused on what the characterization of the proposed strain of AI is, and why is it significant not only in regard to achieving a general variant of AI but also in enhancing the human theory of knowledge. The former involved alluding to disruptive […]

Video Transcript: This second supplementary video to the fifth of the 10-part whiteboard video series features one of the four macro technological paradigms allowed by the Acontextual Model of Cognition. This has its roots in the inclusion of the programmer element in modeling synthetic intelligence. Each of these paradigms will disrupt not only our approach […]

Video Transcript: The purpose of this video is to disambiguate some of the notions associated with previously introduced Acontextual Model of Cognition in the fifth of the 10-part whiteboard video series, in response to received feedback. Firstly, the postulate clauses may not be looked at as capabilities of the resulting intelligence.  These are more of […]

Video Transcript: Consider the scenario of a source of intelligence (the Subject) liaising with a problem to be solved (the Object) in determined contexts. Let the subject contexts denote operational semantics of the involved agent’s beliefs and biases, prior object experience etc. while the object contexts encapsulate the knowledge representations of the object instance. A […]

Video Transcript: At the outset, whereas ChatGPT is the most impressive yet emulation of human linguistic intelligence, Project POC relies upon a phenomenological simulation of human intelligence. Thus the difference between these intelligences is not merely a matter of abilities or efficiency but of the kind. For the given prompt, the possibility of a notional […]

Video Transcript: Project POC provides the contexts for an overhaul of various prevailing notions in relation to the synthesis of AI, particularly the characterization of the outcome – the artificial intelligence itself. Essentially, the prototype illustrates a variant of AI that is fundamentally different from all instances of state-of-the-art synthetic intelligence, that are more often […]

Video Transcript: In the simplest sense, the prototype demonstrates an intelligence system that interprets natural language as an executable program. The consolidated outcome from such execution can be seen to combine every human-like linguistic capability endowed to the system that include comprehension, sentience, sapience, common sense, and traces of synthetic freewill. These seemingly disparate faculties […]

Video Transcript: Recent advances in Artificial Intelligence open numerous possibilities, at the same time underlining the limitations in synthesizing human-like intelligence. For instance, the autonomy devoid of freewill imparted to self-driving vehicles, capabilities of the language models stripped of comprehension and common sense, subsistence sans sentience of the virtual entities in meta realities mark these […]