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Zhu insists that these ideas are built on sand.
Its called silicon 
Large language models, Zhu believes, will never achieve this.
I've been saying this ever since the LLM hype began. What i find particularly worrying is how many educated and supposedly intelligent people fell for the hype. Just because an algorithm can get good at mimicking human language patterns when fed enough data doesn't mean there is actual intelligence behind it. Machine learning is a very useful tool with a lot of applications but LLMs are going to hit a hard wall at some point without real AGI.
Incredible things are happening at BigAI
Jokes aside, I was really intrigued by this a bit longer article (though to me it seemed far from a long read, maybe less than 20 minutes? Time went by really quickly, having had to pause my Star Trek episode of the day 😸). One of the best articles I have yet read from The Guardian 💀💀
I do find Zhu's philosophy interesting, but his dogmatic stance against LLMs or transformer models in general might have become a serious shot in his own foot.
The fact that in 2023 (!) his former mentor Mumford convinced him to shift that stance and to take them into (more or less) honest consideration – his stance having morphed from a categorical refusal of even the mention of them to "They have their place but I believe them to be far from a general solution" – seems to me to be a game changer that might have boosted BigAI potential tremendiously for the future.
But it seems like the PRC is hedging it's bets anyway so I do not think that BigAI only following Zhu's former relatively dogmatic vision would have had much of a negative effect on Chinas machine learning development in general.