They are willing to set up in the US to exploit cheap US labor and low taxes.
People are talking about Java, but the majority of programming languages are memory safe nowadays. Go satisfies this requirement, for example.
Actually, in order to test your assumption, you’d need to quantitatively measure skill, which per se is something already problematic, but you’d also need to run a statistical test to confirm the distribution is a normal/Gaussian distribution. People always forget the latter and often produce incorrect statistical inferences.
Very good to see. Jones Manoel is a true ML leader. I hope to see him in the vanguard of Brazilian revolutionary movement, if we are going to ever get there.
Yeah it’s like there are plenty of ethical jobs in capitalism.
After many years, after working like a slave in the industry for barely any recognition and for people that thought on profit was bigger than us human beings, I can only have respect for the man.
The work of Taylor wasn’t just for projects, but its focus was on measuring activities done in production. You can see those ideas being developed later on with Fordism and further in Toyotism, each with their own breakthroughs.
I think scientific management will develop further in communist societies, since labor need to be organized. One of many contributions of capitalism when compared to feudalism was specialization and then breakdown of very complex processes in smaller simpler tasks. However, in communism, the tendency is that the technical aspects of production will remain while the socio-economic relations will change, since there will not be exploiter and exploitable classes anymore.
This is why we need to think on how to turn the AI usage to the workers. Thinking on creating AI models that are open source and do not depend on big companies. I’m thinking on exploring grid computing and p2p technologies, so we could explore computing power in a distributed way.
It’s not dumb. They understand what they are doing. They think firing multiple people at once can flood the market with developers, and the situation could be used to hire new people with a lower compensation.
Don’t think the rationale behind this is work quality or developer productivity. This is a power move. For Google and many big tech companies devs are replaceable and are just cogs in the machine. The problem is that they became too costly with the advent of COVID.