@IntuitMachine semantically coherent is certainly a prerequisite it trustworthy AI, and unlocking the trillions.
@GaryMarcus Do you mean semiotically coherent?
Perez argues language imposes order on intuitive AI models.
@IntuitMachine semantically coherent is certainly a prerequisite it trustworthy AI, and unlocking the trillions.
@GaryMarcus Do you mean semiotically coherent?
@IntuitMachine and that harness is built out of the kinds of symbolic primitives that I advocated for decades, throughout my career.
@GaryMarcus Yes, the indeterminism found in intuition machines has to be properly managed. That's why our institutions have all kinds of processs on how to properly conduct business. This is now called an agent harness.
@GaryMarcus We have all kinds of rules of order that are applied to intuition machines. In fact, language is one of those kinds of order. This is code-duality (see: Hoffmeyer) that is explained via semiotics. That is, there exists vocabulary and agents that interpret that vocabulary.
@IntuitMachine and that harness is built out of the kinds of symbolic primitives that I advocated for decades, throughout my career.
Perez argues language imposes order on intuitive AI models.
@IntuitMachine semantically coherent is certainly a prerequisite it trustworthy AI, and unlocking the trillions.
@GaryMarcus Do you mean semiotically coherent?
Users agree with Gary Marcus that semantic coherence is needed for trustworthy AI because it addresses how to manage indeterminism in intuition-based systems through established processes.