Sure. I was referring more to the general consensus about products from companies that are currently riding the AI hype train, not about machine learning in general.
When the dot-com bubble burst in 2000, and after the video game crash in 1983, most of the companies within the bubble folded, and those that didn't took a large hit and barely managed to survive. If the technology has genuine use cases then the market can recover, but it takes a while to earn back the trust from consumers, and the products after the crash are much more practical and are marketed more fairly.
So I do think that machine learning has many potentially revolutionary applications, but we're currently still high around the Peak of Inflated Expectations. After the bubble pops, the Plateau of Productivity will showcase the applications with actual value and benefit to humanity. I just hope we get there sooner rather than later.
When the dot-com bubble burst in 2000, and after the video game crash in 1983, most of the companies within the bubble folded, and those that didn't took a large hit and barely managed to survive. If the technology has genuine use cases then the market can recover, but it takes a while to earn back the trust from consumers, and the products after the crash are much more practical and are marketed more fairly.
So I do think that machine learning has many potentially revolutionary applications, but we're currently still high around the Peak of Inflated Expectations. After the bubble pops, the Plateau of Productivity will showcase the applications with actual value and benefit to humanity. I just hope we get there sooner rather than later.