AGI aims for full human-level intelligence, enabling AI to train itself, learn like humans, and achieve PhD-level expertise in fields like cancer research. Unlike ChatGPT, AGI can learn in real-time, has metacognition, and doesn't hallucinate or rely on pre-trained data.
AGI is designed to help humans, not to have inherent drives like survival or reproduction. It will create radical abundance, making work optional and enabling people to pursue more meaningful activities. Universal income will likely become feasible due to the abundance created by AGI.
Cognitive AI focuses on interactive learning and deep understanding, unlike large language models that rely on statistical methods and pre-trained data. Cognitive AI aims to achieve human-level intelligence by understanding and reasoning like humans, not just processing information.
Cognitive AI is currently used in customer support for companies like 1-800-Flowers, replacing thousands of operators during peak times. It also has applications in marketing, personal coaching, and sales assistance, providing efficient and personalized interactions.
Voss sees AGI as a few years away, with cognitive AI leading the way. He believes AGI will help solve global problems like diseases, energy, and pollution, and will create radical abundance, making work optional and improving quality of life.
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What does the "future of AI" look like? Let's talk about Artificial General Intelligence (AGI)...This week, we're chatting with Peter Voss about what's next for AI technology and how AGI could truly revolutionize every aspects of our lives. Hit Play Now To Hear: ✸ Peter's journey from electronics engineer to AGI pioneer ✸ What sets AGI apart from current AI technologies like Chat GPT ✸ What does AGI mean for those common fears we might have? (like AI taking our job, or robots taking over the world) ✸ Real-world examples of AI (and future AGI models), including customer service automation and personal assistants Find more about Peter and his work at Aigo.ai. You can also connect with him on LinkedIn, Twitter, or via email at [email protected].
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