icotyl
Joined 8 years ago
Joined 8 years ago
If breaking up the American tech companies helped disperse jobs outside of Silicon Valley, that would be a good thing.
“Shady data practices” is hand-wavey and non-specific. What do you mean? Many companies today (again, across All industries) have had issues with keeping user data secure, selling it to untrustworthy third parties, not giving users transparency or controls in what information is shared, etc. Google’s track record in these areas is far better than most. How does this necessitate a breakup?
Concentrating industry through M&A is a legitimate issue, in my opinion, but it’s also probably the easiest to regulate.
Our tech companies are the most competitive in the world, bar none. I’m not sure that cutting them off at the knees will help with that. ”We did it before,” isn’t a convincing argument that we should do it now, under much different circumstances.
Every European engineer I talk to seems either amazed or resentful about American software engineers’ salaries and benefits. How have the unions helped you in this regard? How have they helped your tech companies be more competitive in the global economy?
It’s worse than that though, because I’d be afraid to say anything contrary to the activist’s opinions. I don’t want to be stalked or harassed. The company is extremely tolerant of what employees say, the activists not so much.
Making documents and calendars accessible is one example of Google’s “open culture.” When these features are abused in an attempt to strong arm a company or coworkers into kowtowing to each of your demands, that’s sabotage of the company’s culture at the expense of tens of thousands of your coworkers who may not share your political views on every issue. Say your piece, keep saying it if you feel so compelled, but don’t cross the line into unethical behavior and cry “retaliation!” when you’re caught.
1. Free commercial services supported by advertising.
2. Ad-free commercial services supported by subscriptions.
3. Open-source distributed services.
Arguably there’s a fourth category: free, ad-free commercial services supported by VC money to grow until reaches critical mass and pivots into a paid/advertising model.
The second option caters to a smaller crowd who are willing to pay for a better experience, but a “smaller crowd” defies conventional wisdom about social network effects. It’s an interesting experiment though. There are now dozens of news aggregators, streaming media services, gaming platforms, etc., competing for our monthly disposable income, so it may be a tough sell.
The NYT covered the shift towards subscription services recently: https://www.nytimes.com/interactive/2019/11/13/magazine/inte...
This is not my experience at all. Work-life balance there was way ahead of other tech companies I’ve worked for. Most people show up, work reasonable hours, and go home. Evenings and weekends are yours.
In my experience, Bay Area startups are way more guilty of trying to exploit young people with a sense of that the startup is your family. Eat, work, play, and socialize with your team, 24/7. Some people enjoy that, and sometimes these same startups go belly up, and your social network is lost.
I have no idea where your rhetoric comes from, though.
This is the exact opposite of what your chart shows. Productivity, in the economic sense, is growing since the 1980s. It's wages that have stagnated. The wealth generated by increased productivity is all flowing to top.
Dalio recognizes this: "Increased productivity will also substantially increase the wealth gap." He knows this trend is not sustainable.
Also, not getting enough sleep can wreak havoc on your hormones.
"Men who sleep 5 hours a night have significantly smaller testicles than men who sleep 7 hours or more. Men who routinely sleep 4-5 hours a night will have a level of testosterone of someone 10 years their senior."
But even so, AirPods are one of my favorite products I’ve bought in years.
I wasn't a math major and had no idea who he was, but I remember some students mentioning that he was a well-regarded mathematician. He was a good teacher as well.
Fan, who was also Ron's wife, has a webpage about him: http://www.math.ucsd.edu/~fan/ron/