hello, yes. why? everything in the world is bound to "trends", "hypes" or "fashions" ... and stuff tends to go out of fashion after a while of not fulfilling

hello, yes. why? everything in the world is bound to "trends", "hypes" or "fashions" ... and stuff tends to go out of fashion after a while of not fulfilling exaggerated expectations. especially in IT - and especially AI ... we had that several times (!) since its inception in the 50ties of the last century :) just look at its history: even neural networks are nothing new ... heavily simplified: they where with us after the logic-programming hype of the 70ties during the 80ties, displaced by fuzzy-logic around the turn of the decade to the 90ties. the logic-programming approach got reboiled by semantic-technologies in the zero-decade, replaced by machine-learning - applied statistics - and deep-learning - again neuronal networks - in the 10ths and up until now ... thanks to cheap computational resources - pumped up to billions of parameters etc. don't get me wrong: great stuff, but less novel than some of us might think ;) notice: i wrote nothing about when this will happen, but its more or less a tautology, that there will be such a downward development of the current trend sometimes in the future ... :) idk ... maybe after people realize, that current pre-trained transformers/language models - as nice/useful/funny as they are - are not "(hard) AI" ... i think its now called "general AI" or AGI!? cheersv