654 karma · joined April 13, 2013
That makes sense if the things you enjoy cost a lot. But not everyone needs a lot of money to do things they enjoy. For those people, the real cost of having a day to day job is time. For example, I may really enjoy biking and that is a hobby which does not require much money - but it does need daylight and with a full time job you lose the majority of that.
Tesla seems to think they know exactly what happened after only reviewing data collected from the car. They see what they want to see and have become blind to any other possibility. I think that's terrifying. I couldn't trust an automaker with that kind of arrogance.
When I say they are just re-labeling numbers, I mean that if someone now gets hungry at 1pm instead of 12, that individual will start to act accordingly. It's possible that people will start to eat at 1pm and the significance of those clock numbers starts to change accordingly.
Maybe that happens or maybe not. My point is they established their significance for a reason. But imagine if a group of people who got hungry at 11am all the time decided it was good to establish 11am as lunch time by calling it noon.
This is definitely a morning-person thing. People who are functional earlier benefit over those who aren't.
Alternatively, they are forcing people to wake up earlier but this effect may not last for long. By 'earlier' I mean it in the sense of our biological clocks.
There is something about people who push for permanent daylight savings. They are usually morning people who can't seem to (or want to) understand that what works for them is not necessarily what works for everyone. Many students especially are hurt by early schedules because that causes them to not get enough sleep.
I don't know if they still do this. I haven't seen a physical dictionary in a while. Now with online maps and navigation I don't think map data providers can afford the risk of a navigation system misdirecting someone due to an imaginary place.
But it's possible some of these things took a life of their own. Say someone saw a made up word and started using it because they thought it was real. Or a made up park name for an open area led someone to start using it and others to start calling it that. I don't know if that actually happened but it's possible.
That link only really gets into the fact that they have a large market share. That alone does't make them a 90s era Microsoft.
With sneakers it's different because the prices paid are by people interested in the product itself. In that sense this is more like comic books or baseball cards. And these things can keep their high prices indefinitely.
Selectively picking factors that worked in the past to predict what will happen in the future is like picking stocks based on what worked in the past- "Gee, oil and energy companies skyrocketed from 1990 to 2000, so oil and energy companies will rock from 2010 to 2020!!"
Who exactly are the people telling this writer that Uber will make transit obsolete? I live in a city where public transportation is very popular and have not once, ever heard this.
The reality is public transit use is surging in popularity. Public ridership is up 39% since 1995 (you know, when most people did not have internet or smartphones). Young people flock to cities with good public transit. And while I've never once heard someone say "Uber will make public transit obsolete", I have heard many people say they chose a city because it had good public transit.
Two ant colonies A and B. Sugar is abundant in the area and all ants in colony B prefer sugar. 95% of the ants in colony A prefer sugar while 5% prefer peanut butter. The ants that like peanut butter have a higher risk of getting killed because peanut butter is scarce and they must travel further. They also use more energy in getting food. One day a truck drops sugar near the colonies that is poisoned. Colony B is wiped out. Colony A survives on because of the 5% of ants that prefer peanut butter. The queen may die but the surviving ants reproduce.
We all know someone who hates a particular food that most people love. We all know someone who loves a food we think is disgusting. Why don't we all like the same healthiest foods?
I'm not an expert on genes but it's possible that in one species, taste or some other variable is determined by 1 or 2 genes. In another species it may be determined by 8 or 9 genes. This complexity in taste determination may cause more variation in how it manifests. Maybe that complexity causes odd variations to occur over generations. Even as other factors select for sugar in one species, individuals keep popping up that like peanut butter.
If you look at the long term, in the world that the article describes (slow, gradual with rare cataclysmic changes), most wrong decision makers will still die at a higher chance than correct decision makers. It's just in those rare situations that they survive.
If you really need shooting, explosions and fancy graphics to keep you motivated then I don't think programming as a career is for you. Most programming jobs aren't going to give you much of that. And frankly, I think all the wizz-bang graphics just interferes with your learning and getting good at visualizing in your own head what the code is doing.
Yes, the engineer deserves to go to prison because he pulled the trigger. But his boss deserves just as much if not more prison time.
If all schools were partially liable for loan defaults (say 50%), they would pay far more attention into creating programs that have good job prospects and less on programs that just sound good. They'd also have an incentive to charge a reasonable tuition instead of maximizing the cost based on what can be borrowed. And they would spend a great deal more effort on job placement after graduation. The government would not have to pick and choose what schools to close down.
If it's only intended to prevent identity fraud or data theft, then it's really 'security' more than 'privacy'.
I don't understand why people keep saying Moore's law will end soon... as if it's a forecast. I just checked an online site for cpus and the fastest one available was at 3.7 GHZ. It was maybe 3.2 GHZ two years ago. In 2001, I bought a computer that ran at 1 GHZ. That's 15 years ago! Moore's law is usually defined as doubling every 18 months. Even if we stretched it to every 24 months, we should be at well over 100 GHZ. Even if we account for the 4 cores, it's still not happening.
What am I missing here? It seems like Moore's law has been dead for years. Please don't tell me about experimental cpus that are faster or theoretical processors. Moore's law is defined as speed increases while the price stays the same. What matters is what cpus are available to consumers.