In a recent episode of the Humans of AI podcast, our CEO, Dr. @bengoertzel, sat down with @alexchaomander for an engaging conversation about the future of artificial intelligence. The pair explored the journey toward human-level AGI while examining the current constraints of frontier LLMs. They also tackled the vital subjects of AI alignment and the necessity for decentralized ownership and control over advanced AI systems.
During the interview, Dr. Goertzel sheds light on the cognitive science principles that serve as the foundation for Hyperon's architecture. He outlines our specific strategies for continual learning and recursive self-improvement. Furthermore, he clarifies why building a truly decentralized AGI relies equally on open infrastructure and AI techniques that are expressly tailored for distributed training and inference.
During the interview, Dr. Goertzel sheds light on the cognitive science principles that serve as the foundation for Hyperon's architecture. He outlines our specific strategies for continual learning and recursive self-improvement. Furthermore, he clarifies why building a truly decentralized AGI relies equally on open infrastructure and AI techniques that are expressly tailored for distributed training and inference.
