Comment Re:Next step to prevent PC piracy (Score 1) 795
Popularity doesn't pay the bills when 90% of your players aren't paying for the game.
It does if you have enough players.
Popularity doesn't pay the bills when 90% of your players aren't paying for the game.
It does if you have enough players.
Chrome's JS blocker seems pretty easy to use to me. When it's enabled, an icon appears in the address bar indicating JS blocking, and it can be clicked to whitelist the current site.
Adblock for Chrome https://chrome.google.com/extensions/detail/gighmmpiobklfepjocnamgkkbiglidom
"Most Americans"
Fuck you. Where's your evidence to back this statement up you fucking douche.
This comment actually says a lot about how many Americans think.
Mod parent up! That's some pretty compelling math.
In order to use a unique password for every website and still be able to remember them, devise a secret scheme based on the site name.
An example scheme:
google.com -> 'xgooHoo'
digg.com -> 'xdigEig'
ebay.com -> 'xebaFba'
facebook.com -> 'xfacGac'
etc.
As long as you don't divulge your methodology to anybody, most people won't be able to "guess" your passwords between sites. I've even had friends witness me typing in some passwords in the clear, and they didn't recognize that a methodology was being used.
Of course, if a real dedicated hacker wants to crack your personal code, they would probably have enough information to do it if they had access to a small subset of your used passwords. Though if somebody's really that dedicated to cracking your passwords, most software and hardware solutions are also going to be just as easily compromised.
Given the requirements of many sites today, it's also a good idea to mix some numbers and capital letters into your scheme, so that you don't have to create any 'special case' passwords for the odd super-finicky site.
May I direct you to http://postsecret.blogspot.com/
What about basic HTML mode? Or does that constitute 'disabling Javascript'?
Does it sound good?
I have wondered for some time why nobody is implementing an "intelligent" traffic-light-timing system. Think Google for traffic light timing.
Where I live, all of the major traffic lights have cameras attached (to automate sending of traffic tickets to red-light runners). It seems to me that these cameras could be used to analyze the routes that are being taken by vehicles and intelligently optimize the light timing based on this.
For example, let's assume that tracking vehicles by license plate number in this manner is too much an invasion of privacy, but we will allow the system to track a vehicle's route by color and size. Let's also assume that it's 3am and there are very few cars on the road.
Say a given small red vehicle leaves a given intersection at 3:05am. This system would be able to estimate how soon that vehicle should arrive at the next adjoining intersection, and adjust the timing of that light so that it's green when the vehicle arrives (other traffic notwithstanding).
Of course there's some chance that the vehicle will not actually reach that second light (e.g. it pulls into a driveway). So for each intersection, the system would actually calculate the probability of a vehicle arriving from each direction in real time.
Now let's say this vehicle's driver gets off work every weekday at 3:00-3:10am and almost always takes the same route home. Over several days, the system should be able to recognize this trend and optimize the lights such that, as soon as the vehicle is recognized on the road, this driver gets all green lights all the way home, most of the time. Thus the system could recognize not only the likelihood of a vehicle arriving at a given intersection at a specific moment, but also the likelihood of a "small red vehicle" taking a left at a given intersection, both in realtime and historically.
So that's the "one vehicle, no congestion" conceptualization. Now just extend this to include all vehicles on the road. Such a system should then be able to optimize 'global' traffic flows, based on this simple underlying probability model.
Of course, special optimizations for heavy congestion, accidents, weather, etc. could be layered on top.
I think the fundamental question, "why can't all the lights change to green for me, as I arrive at them, when there is no other traffic to consider?" is adequately answered by this proposed system. It should also be able to optimize traffic flows better than any human traffic engineer during the most congested times of day, relying especially on historical trends of all the vehicle routes it has recognized.
Since such a system could utilize existing traffic cams and pressure plates, I think it would also be (relatively) inexpensive to implement such a system.
It is easier to write an incorrect program than understand a correct one.