internet connection still too slow, can't watch train video. ...wait 30 seconds, get 16 seconds....5 seconds. ####!
You can watch it later.internet connection still too slow, can't watch train video. ...wait 30 seconds, get 16 seconds....5 seconds. ####!
Good, good. I even feel relief to see it. The basis of it - the hype and nonsense written by media people - is what i've been saying all along.Artificial intelligence is making huge strides and has been occupying some of the best minds of this century, but the hype around it is just as massive.
Artificial intelligence is entering everyday lives and products, and many of us find ourselves in positions, both in our professional and personal lives, where we need to evaluate the genuineness of claims to using AI.
Arvind Narayanan, a computer science professor at Princeton, puts it more succinctly, “Much of what’s being sold as ‘AI’ today is snake oil — it does not and cannot work. Why is this happening? How can we recognize flawed AI claims and push back?"
He has classified AI into three broad buckets:
1. Areas where AI is genuine and making rapid progress like facial recognition, medical diagnosis from scans, etc.
2. Areas that are imperfect but improving like detection of spam, hate speech, etc.
3. Fundamentally dubious areas like predicting job success, recidivism, at-risk kids etc.
The last category, which is really about predicting social outcomes, is essentially the snake oil being sold to gullible users and used as a pretext for collecting a large amount of data. Users are made to believe that magical insights can somehow be extracted from large amounts of data and more the data better the insights.
Professor Narayanan writes that there has been no real improvement in the third category, despite how much data you throw at it; he further goes on to show that for predicting social outcomes, AI is worse off than manual scoring using just a few features.
Vested interests will always have a motive for creating the myth of being able to predict social outcomes using vast data. This myth needs to be dispelled.
T.N. Hari is head of human resources at Bigbasket.com and adviser to several venture capital firms and startups. He is the co-author of Saying No To Jugaad: The Making Of BigBasket.
Those who understand value of Human resource can only understand all the hype.Good, good. I even feel relief to see it. The basis of it - the hype and nonsense written by media people - is what i've been saying all along.
And this written in academic style, not journalist style.
Note they (media people etc.) also confuse AI with what is just more advanced automation systems and robots. Most do not involve AI, basically because robots are designed for specific or specialised purposes, not for general purpose, not to be adaptable like humans. So, advanced if-else logic is suitable, no need of AI. Robot walking/talking/etc. is an old story of Hollywood fiction.