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AI is definitely starting to enter the “through of disillusionment” in its hype cycle.

by baxtr 9y ago

cryptoz 9y ago
Is it really? I don't see that at all. Rather I see AI as finally being entrenched in normal, everyday products and services. AI is here to stay and the hype hasn't even started yet, at least not compared to what's coming. Billions of people own devices that they can talk to, that can talk back, that can translate between more languages than humans can, that know facts about you that you didn't even know yourself, etc. Basic AI has come to be an expectation of many consumer products now. And real AI is coming faster than ever. Fake audio and fake video, generated from computers/AI is here. Self-driving cars may be just a domain-specific expertise, but it is still AI by any traditional definition. AI is not reaching any kind of trough of disillusionment that I can tell. We're still obviously just getting started with what can be done. </AI hype post.>
- baxtr 9y ago
  Yeah, I guess you’re right, too :-) It’s definitely true for ML. However, I was mainly thinking about the overhyped “AI can do anything” sort of nonsense that is mostly spread by people who don’t have any clue about CS
- nkassis 9y ago
  While there are domains where AI is having successes, the current general expectation is far ahead of where the technology is. People think (and in part due to the marketing like IBM is putting out) that ML/AI can do things that aren't possible yet. There may be a reset in expectation soon which will lead to become more pessimistic at claims being made and the marketing. Once we are through that, it will be easier to get people to understand what use cases align with the available technology and implementing ML/AI will become more productive. Aka the Trough of Disillusionment followed by the plateau of productivity.
gaius 9y ago
The real time voice translation Microsoft is doing in Skype is genuinely impressive. Pity the rest of the app is so shonky!
akhilcacharya 9y ago
I disagree. I read this article a few years ago. It is true about IBM, but other companies have significantly more interesting and useful applications for ML right now.
brootstrap 9y ago
oh man you can say that again. Look ma i can perform linear regression on a bunch of data , i'm a data scientist!!! Even better i just heard a new term 'IA', local tech meetup has a presenter with headline "discussing an Intelligence Augmentation (IA) approach to human-assisted artificial intelligence." oh god now we have IA and AI. holy shit!

AI is definitely starting to enter the “through of disillusionment” in its hype cycle.

by baxtr 9y ago

AI is definitely starting to enter the “through of disillusionment” in its hype cycle.

Is it really? I don't see that at all. Rather I see AI as finally being entrenched in normal, everyday products and services. AI is here to stay and the hype hasn't even started yet, at least not compared to what's coming. Billions of people own devices that they can talk to, that can talk back, that can translate between more languages than humans can, that know facts about you that you didn't even know yourself, etc. Basic AI has come to be an expectation of many consumer products now. And real AI is coming faster than ever. Fake audio and fake video, generated from computers/AI is here. Self-driving cars may be just a domain-specific expertise, but it is still AI by any traditional definition. AI is not reaching any kind of trough of disillusionment that I can tell. We're still obviously just getting started with what can be done. </AI hype post.>

baxtr 9y ago
Yeah, I guess you’re right, too :-) It’s definitely true for ML. However, I was mainly thinking about the overhyped “AI can do anything” sort of nonsense that is mostly spread by people who don’t have any clue about CS
nkassis 9y ago
While there are domains where AI is having successes, the current general expectation is far ahead of where the technology is. People think (and in part due to the marketing like IBM is putting out) that ML/AI can do things that aren't possible yet. There may be a reset in expectation soon which will lead to become more pessimistic at claims being made and the marketing. Once we are through that, it will be easier to get people to understand what use cases align with the available technology and implementing ML/AI will become more productive. Aka the Trough of Disillusionment followed by the plateau of productivity.

gaius 9y ago

The real time voice translation Microsoft is doing in Skype is genuinely impressive. Pity the rest of the app is so shonky!

akhilcacharya 9y ago

I disagree. I read this article a few years ago. It is true about IBM, but other companies have significantly more interesting and useful applications for ML right now.

brootstrap 9y ago

oh man you can say that again. Look ma i can perform linear regression on a bunch of data , i'm a data scientist!!! Even better i just heard a new term 'IA', local tech meetup has a presenter with headline "discussing an Intelligence Augmentation (IA) approach to human-assisted artificial intelligence." oh god now we have IA and AI. holy shit!