ML-bubble? You mean the one in the 1960’s? I prefer to call this the GenAI bubble, since other forms of AI are still everywhere, and have improved a lot of things invisibly for decades. (So, yes. What you said.)
AI winter is a recurring theme in my field. Mostly from people not understanding what AI is. There have been Artificial Narrow Intelligence that beat humans in various forms of reasonings for ages.
AGI still seems like a couple AI winters out of having a basic implementation, but we have really useful AI that can tell you if you have cancer more reliably and years earlier than humans (based on current long term cancer datasets). These systems can get better with time, and the ability to learn from them is still active research but is getting better. Heck, with decent patching, a good ANI can give you updates through ChatGPT for stuff like scene understanding to help blind people. There’s no money in that, but it’s still neat to people who actually care about AI instead of cash.
ML-bubble? You mean the one in the 1960’s? I prefer to call this the GenAI bubble, since other forms of AI are still everywhere, and have improved a lot of things invisibly for decades. (So, yes. What you said.)
AI winter is a recurring theme in my field. Mostly from people not understanding what AI is. There have been Artificial Narrow Intelligence that beat humans in various forms of reasonings for ages.
AGI still seems like a couple AI winters out of having a basic implementation, but we have really useful AI that can tell you if you have cancer more reliably and years earlier than humans (based on current long term cancer datasets). These systems can get better with time, and the ability to learn from them is still active research but is getting better. Heck, with decent patching, a good ANI can give you updates through ChatGPT for stuff like scene understanding to help blind people. There’s no money in that, but it’s still neat to people who actually care about AI instead of cash.