Interesting Read - Link
Perspectives from Stylist
- We knew from the beginning we were teaching the algorithm
- In recent months, sending out boxes of clothing that were entirely selected by the algorithm
- It’s like we’re constantly making the algorithm better by fixing their mistakes
Phases of this Progress
- Stylist recommendation (Observed by ML)
- Model Training based on recommendation (Learnt by ML)
- The model recommends, stylist finetunes it (ML Leads vs Stylist Finetunes)
Other reasons are also cited - changes in flexible working hours, minimum working hours, etc..
I have the same perspectives about the Tesla humanoid robot, How many jobs it can automate/eliminate. Machines that will never get tired/frustrated.
The interesting debate lives vs cost savings vs empathy. Hope we build machines balancing all these aspects.
Keep Thinking!!!
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