Part 6/16:
Shapiro reiterates that every cognitive architecture involves:
Input: Sensors, telemetry, OCR, NLP—anything that provides environmental data.
Processing: Memory, planning, reasoning, learning, and world modeling.
Output: Robotic movements, speech, navigation, or interactions with virtual environments.
This triad is fundamental for any autonomous system, whether a robot, self-driving car, or an urban management AI.
Cognitive Architectures vs. General AI (AGI)
He advances a provocative hot take: a single neural network—like GPT-3—will probably never achieve AGI because it lacks the full spectrum of input processing, memory management, planning, and output capabilities necessary for general intelligence.