#AGI #AI #GenerativeAI #LLMs #ML #CriticalAILiteracy: "In their paper, the researchers introduce a thought experiment where an AGI is allowed to be developed under ideal circumstances. Olivia Guest, co-author and assistant professor in Computational Cognitive Science at Radboud University: ‘For the sake of the thought experiment, we assume that engineers would have access to everything they might conceivably need, from perfect datasets to the most efficient machine learning methods possible. But even if we give the AGI-engineer every advantage, every benefit of the doubt, there is no conceivable method of achieving what big tech companies promise.’

That’s because cognition, or the ability to observe, learn and gain new insight, is incredibly hard to replicate through AI on the scale that it occurs in the human brain. ‘If you have a conversation with someone, you might recall something you said fifteen minutes before. Or a year before. Or that someone else explained to you half your life ago. Any such knowledge might be crucial to advancing the conversation you’re having. People do that seamlessly’, explains van Rooij.

‘There will never be enough computing power to create AGI using machine learning that can do the same, because we’d run out of natural resources long before we'd even get close,’ Olivia Guest adds."

https://www.ru.nl/en/research/research-news/dont-believe-the-hype-agi-is-far-from-inevitable