Fear of Influence Podcast - With Momen Ghazouani
In this episode, Momen Ghazouani, Chief Scientist at Setaleur Aplamda, examines why many forecasts for artificial general intelligence (AGI) lack scientific rigor. He argues that predicting a date for AGI is insufficient unless the underlying technical architecture capable of achieving it is clearly identified and justified. The discussion explores the fundamental divide between scaling-based approaches and embodied intelligence, drawing on long-standing debates in AI and cognitive science. Rather than treating AGI timelines as settled expectations, this episode encourages listeners to evaluate the engineering assumptions behind every prediction and to distinguish evidence-based scientific reasoning from speculative forecasting. Source: The Philosophical Paper [https://doi.org/10.5281/zenodo.21415631]
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