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Very similar to Will Robots Take My Job? What are the main differences?
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@bentossell you are not the first one to say that hah, I actually use some of the data they use (like computerization score from the Oxford research and public occupation data) but the goal of this project is to identify the probability of having algorithmic management (that is already around us in Ubers/Postmates telling people where to work and how much to earn), the goal is not to show the probability of being replaced of a robot
@arturkiulian That's just ridiculous. You could have achieved this goal in many different ways yet you have decided to go with ripping off our project. Everything resembles our site - from the layout to the logo/gif here... Even the name is identical. :) Anyway. I am curious how do you calculate this risk?
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@bentossell Even the little GIF on ProductHunt is the same but with other colours. Cheap.
@dreamture I'm sorry dude, but I honestly don't think I've ripped off your project, I can do a breakdown of every single element and piece of the functionality for you so I don't look like douche :) The logo/gif idea - maybe, but I would call that inspiration versus a rip off
Btw, to better illustrate the goal/problem that I'm going for I wrote this piece on Medium: https://hackernoon.com/why-your-...
🤖 Hey everyone! My name is Artur Kiulian, I'm a serial entrepreneur, top AI writer on Medium and the author of Robot Is The Boss, the book about how to use Artificial Intelligence in Business. And here's why I've decided to build this tool that tells your chances of having an algorithmic management 💡 Algo management is already in charge of important business decisions, planning and performance assessment in many on-demand mobility and delivery services that make up the so called gig economy. In Deliveroo, a London-based food delivery company, most of the couriers’ actions are tightly controlled by algorithmic management. If a courier declines the order, strict algorithms would penalize them. Deliveroo’s algorithmic system carefully monitors a courier’s performance calculating his/her average “time to accept orders”, “travel time”, and “unassigned orders”. If the courier’s performance does not meet a service level agreement, he or she might be blocked in the system. Similar algorithmic procedures are used in Uber, the world-leading mobility service that connects passengers and drivers. At Uber, once a driver is logged into the system he or she has 10–20 second to accept trip requests. If three trip requests are missed in a row, a driver is automatically logged out for several minutes. In the case of frequent violation of Uber algorithmic policies, the driver’s account may be deactivated. 🤷 And the thing is that while most of the people are worried about losing the job to a machine, in reality there are way higher chances of being managed by a machine. While this is already happening, no one is paying enough attention to the economical and psychological implications of this change. I've already had a round of great feedback after running PH upcoming page (thanks @nickabouzeid and @rrhoover) and would love hear your thoughts about the tool and see if it is useful to the wide audience.
@nickabouzeid @rrhoover @arturkiulian Hey Arthur! Checked it out. Very cool! And that's great that my profession has only 3% chance of being automated. :)
Clever way to draw public attention to the subject. I've actually read Artur's book (https://www.amazon.com/Robot-Bos...) and it's a sober look at the future of automation and how we can apply it in our businesses. Do you offer consulting services on applying AI?
nsfw: don't open this when your boss is standing right behind you
Huh, looks like everything is not so bad for marketers and we will alive! http://joxi.ru/EA4nDN4FwzDNLm