The problem with machine learning in one tweet
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wrote on 5 Mar 2021, 12:40 last edited by
To be fair, I know some humans who would struggle with that photo.
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wrote on 5 Mar 2021, 13:05 last edited by
Now apply that to the rather inconsistent set of road signs. Had we followed the road signs in Atlanta yesterday we would have ended up God knows where.
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ML has no "models". You cannot explain why the algorithms make a decision, you cannot predict them, you cannot give any guarantees for anything whatsoever. And we were dreaming of letting such algorithms steer cars? It's a mess. A pity that many of the most talented people on the planet are currently sucked into that field. It's time for a return of "old school" AI.
wrote on 5 Mar 2021, 13:21 last edited by@klaus said in The problem with machine learning in one tweet:
ML has no "models". You cannot explain why the algorithms make a decision, you cannot predict them, you cannot give any guarantees for anything whatsoever. And we were dreaming of letting such algorithms steer cars? It's a mess. A pity that many of the most talented people on the planet are currently sucked into that field. It's time for a return of "old school" AI.
+1
I share that sentiment. -
Now apply that to the rather inconsistent set of road signs. Had we followed the road signs in Atlanta yesterday we would have ended up God knows where.
wrote on 5 Mar 2021, 13:55 last edited by@mik said in The problem with machine learning in one tweet:
Now apply that to the rather inconsistent set of road signs. Had we followed the road signs in Atlanta yesterday we would have ended up God knows where.
Remember that they shot Deliverance in Georgia.
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wrote on 5 Mar 2021, 13:58 last edited by
...and Mik does have a very pretty mouth.
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wrote on 5 Mar 2021, 15:29 last edited by
We have a neuroscientist who's been working on a machine learning approach to a certain clustering problem for well over a year. I'm not sure it's performing well yet, but I am sure it's super slow and a huge burden on the main application to try to incorporate it. I think I probably could have written an algorithm to solve the problem in less than a month.
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wrote on 5 Mar 2021, 16:36 last edited by xenon 3 May 2021, 16:37
AI is a poor name.
It has an implicit promise of some human-like qualities.
All it is, is an unwieldly regression of sorts.
It's a fantastic tool for recognizing patterns in large sets of complex data. (and most usefully a narrow set of data types - such as pictures)
For example, a human would categorize a certain type of Hyena based on spots, teeth shape, etc. - but an ML algorithm could pick up a subtle swirl in the fur or something that most people wouldn't even think to look at, and use that to identify a species.
It's a pattern recognition tool.
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wrote on 5 Mar 2021, 19:04 last edited by Doctor Phibes 3 May 2021, 19:05
I'm no expert on this, so I may be misunderstanding what Machine Learning is, but the results from recent chess engines who I believe use this approach by comparison to the traditional one has been striking.
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wrote on 5 Mar 2021, 19:53 last edited by
You got it wrong, Klaus.
The problem with machine learning in one tweet is that 280 characters is never enough to train an algorithm.
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You got it wrong, Klaus.
The problem with machine learning in one tweet is that 280 characters is never enough to train an algorithm.
wrote on 5 Mar 2021, 20:21 last edited by@jon-nyc said in The problem with machine learning in one tweet:
You got it wrong, Klaus.
The problem with machine learning in one tweet is that 280 characters is never enough to train an algorithm.
You cannot possibly be more wrong.