AGI Forecasts and Insights
Ben discusses the intriguing capabilities of few-shot and in-context learning, noting that while the functionality exceeds his expectations, the limitations align with his predictions. He reflects on Ray's timeline for human-level AGI by 2029, suggesting that advancements in enabling technologies are on track, and speculates that superintelligence could emerge shortly after. The conversation highlights the unpredictable nature of technological progress, influenced by funding and societal interest.In this clip
From this podcast
Machine Learning Street Talk (MLST)
Ben Goertzel on "Superintelligence"
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