#034 Eray Özkural- AGI, Simulations & Safety
Machine Learning Street Talk (MLST)
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Exploring the Path to Artificial General Intelligence
This chapter examines the multifaceted challenges in developing artificial general intelligence (AGI), focusing on current advanced models such as GPT-3. The discussion contrasts traditional algorithmic information theory with innovative frameworks like energy-based definitions and emphasizes the differences between language processing and genuine understanding. Highlighting the need for a cohesive architecture that merges diverse machine learning methods, the chapter underscores the importance of sensory experiences and cognitive structures in achieving human-level intelligence.
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