GZERO World with Ian Bremmer
Getting to know generative AI with Gary Marcus
Sep 9, 2023
Gary Marcus, cognitive scientist and AI researcher, discusses the recent advances and risks of generative AI. He explains the limitations of large language models like ChatGPT, their difficulty with truth, and the potential impact on society. Marcus explores future advancements, challenges in technology, and the essential role of humans in AI. He emphasizes the need for effective governance and regulation to ensure transparency and safety in AI systems.
26:31
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Quick takeaways
- Large language models like GPT and Dali are powerful but unreliable AI tools.
- To develop reliable large language models, a combination of traditional AI techniques and neural networks is necessary along with effective governance and regulation.
Deep dives
Large language models are versatile yet unreliable
Large language models, such as GPT and Dali, are powerful AI tools with wide-ranging capabilities. However, they are also the least reliable AI techniques that have gained mainstream popularity. Unlike voice assistants like Siri, which are carefully engineered for specific tasks, large language models try to do everything but may often fall short. They can generate impressive text and images but lack the ability to truly understand concepts or accurately analyze information. Despite their versatility, these models are limited in their reliability.
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