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Okay, I should have worded my comment more carefully. These applications seem to firmly fall into the "I'm willing to compromise on quality if I don't have to

Okay, I should have worded my comment more carefully. These applications seem to firmly fall into the "I'm willing to compromise on quality if I don't have to pay a living person a wage" niche, so they're value-destroying, not value-creating. Are there examples of value-creating applications for ML? (From a business point of view; obviously the "shitty translations but at no cost" proposition creates value for the average Internet user.)

Tenoke 6y ago
I don't understand this. Do you think that e.g. the average engineer is value destroying because if the business hires a more expensive and experienced one they will do a better job? In either case it is only 'value-destroying' if the business has unlimited resources.
rolisz 6y ago
Image tagging is not in that category. Google Photos, Synology Moments and other similar projects are valuable for end users. Nobody had time to manually tag hundreds of gigabytes of photos with even 10% of the items in them.
- otabdeveloper4 6y ago
  Like I said, I'm not talking about end users. (Obviously for end users ML enables doing lots of things "for free" that used to be paid services before.) I'm talking about commercial applications, like the OP said. That is, things I could potentially pitch to management and substantiate with something concrete that isn't "you can fire your lowest-paid contractors now".
  - sanxiyn 6y ago
    Some things are worth doing but not worth paying people. Google is using ML to read house numbers from Google Street View photos. Why is that not a good commercial application? Google gets its map updated faster and cheaper with ML.
Voloskaya 6y ago
Your qualification of value destroying/value-creating makes little sense to me. If I need a news article or some other webpage translated I can do it thanks to Google Translate. If Google Translate was not here, I would simply not get it translated and lose the information, there is no way I would contact a translation firm for that kind of stuff. To me it is firmly value creating. At any rate here are way more than 3 other uses of DL today off the top of my head: * Autocompletion (be it in search engines toolbars or in Gmail/Word/...) * Superresolution GAN, the most interesting example to me being NVIDIA DLSS, you render a game at ~720p or less and then upscale it to the target resolution of 1080p or 4k, allowing to get quality that the machine would not have been able to support at the target resolution directly. * Image recognition/tagging: Most of this is used in the security domain, but there is also a lot of stuff around inventory management, safety etc. * Semantic search * Protein folding (AlphaFold) * In astrophysics: detection of supernovaes, FRBs and probably a bunch of other stuff I'm not aware of * Self-driving cars: Even assuming self-driving technology does not evolve anymore from now on, the current state of the art is still a selling point. * Predictive maintenance: Used for plane engines and other things

Tenoke 6y ago

I don't understand this. Do you think that e.g. the average engineer is value destroying because if the business hires a more expensive and experienced one they will do a better job? In either case it is only 'value-destroying' if the business has unlimited resources.

rolisz 6y ago

Image tagging is not in that category. Google Photos, Synology Moments and other similar projects are valuable for end users. Nobody had time to manually tag hundreds of gigabytes of photos with even 10% of the items in them.

otabdeveloper4 6y ago
Like I said, I'm not talking about end users. (Obviously for end users ML enables doing lots of things "for free" that used to be paid services before.) I'm talking about commercial applications, like the OP said. That is, things I could potentially pitch to management and substantiate with something concrete that isn't "you can fire your lowest-paid contractors now".
- sanxiyn 6y ago
  Some things are worth doing but not worth paying people. Google is using ML to read house numbers from Google Street View photos. Why is that not a good commercial application? Google gets its map updated faster and cheaper with ML.

Voloskaya 6y ago

Your qualification of value destroying/value-creating makes little sense to me. If I need a news article or some other webpage translated I can do it thanks to Google Translate. If Google Translate was not here, I would simply not get it translated and lose the information, there is no way I would contact a translation firm for that kind of stuff. To me it is firmly value creating. At any rate here are way more than 3 other uses of DL today off the top of my head: * Autocompletion (be it in search engines toolbars or in Gmail/Word/...) * Superresolution GAN, the most interesting example to me being NVIDIA DLSS, you render a game at ~720p or less and then upscale it to the target resolution of 1080p or 4k, allowing to get quality that the machine would not have been able to support at the target resolution directly. * Image recognition/tagging: Most of this is used in the security domain, but there is also a lot of stuff around inventory management, safety etc. * Semantic search * Protein folding (AlphaFold) * In astrophysics: detection of supernovaes, FRBs and probably a bunch of other stuff I'm not aware of * Self-driving cars: Even assuming self-driving technology does not evolve anymore from now on, the current state of the art is still a selling point. * Predictive maintenance: Used for plane engines and other things