Nonetheless, I wouldn't be surprised if a hyperloop from SF to SD cost close to 100 billion, since it hasn't been done before, and a regular railroad running through a tunnel can cost more than $100,000,000 per mile.
Tunnel costs are proportional to tunnel cross sectional area - the hyperloops are designed to have greatly reduced cross sectional area compared to traditional train tunnels.
Also tunnel costs are proportional to boring time, Musk is reengineering the TBM (tunnel boring machine) for dramatically faster boring.
The amended version, after their plant on the apple board stole the iphone idea
Another person clueless about history,
IBM did the first smartphone (touch screen phone with applications) in 1992, the 'multitouch' features of the iPhone were from the acquisition of FingerWorks in 2005 - a company that a variety of phone companies had been interested in.
The LG Prada had been released the year before to wide applause by industrial designers for its capacitive touch screen.
Samsung and Nokia both had touch screen smart phones, but were worried about cost, so hadn't released them yet, because they didn't think people would pay 'that much' for a phone.
So the 'iPhone idea' wasn't Apples idea at all and being on Apples board almost certainly didn't impact androids development. Apple simply provided the most refined version of the smartphone idea, one that was being simultaneously pursued by all major phone companies.
Perhaps the person 'noticing' the phenomenon, is the originator of the phenomenon and trying to increase traffic to the said porn sites by calling attention to this 'mystery'.
Yes, that would be very interesting. Deep Blue may have been a supercomputer, but it was still a human-scale machine. AlphaGo, on the other hand, runs on Google's immense computational cloud, which makes it a lot less impressive.
AlphaGo doesn't try and maximize its win margin. It would have won by 15 points or more if the winning margin mattered.
When all paths lead to victory there is numerical instability in the rollouts so a move that gives a 15 point win margin, might, by chance get say 99.995% chance of winning, but one of the billions of other paths that also lead to a win will, by chance - give a rollout of 99.996% chance of winning. So every move in a won game is essentially random and will tend to reduce the win margin against a skilled opponent (who will always make a move that decreases their loss margin) until the win margin is 1/2.
Pick another random game. Chess, checkers, texas holdem, or some made up game. Give both AlphaGo and Ke Jie one hour to study the rules and then let's see who wins.
There is software called 'general game playing' software that does this, and they do quite well.
Or facebook doesn't get enough qualified women applying and thus hires less qualified women for programming jobs because they don't like the gender imbalance.
This results in the average quality of female engineers being lower - resulting in both women not rising in the ranks and in lower quality patches.
I thought Poker was a game of understanding your opponents not only based on past actions with cards but also by looking at facial expressions, body language and determining whether or not they have a good hand. Along with that, a big part is developing subtle gestures to throw your opponents off.
Reading body language only works with really bad players. What modern poker AIs do is play 'game theoretically optimal' (GTO). If both players play GTO, then it is a draw, but if your opponent deviates from GTO then your GTO strategy will beat their strategy. If you are playing 'bad' players you can deviate from GTO and win even more than the GTO win rate (this is called exploitation), but it is better to simply play GTO until you know for sure that your opponent has weaknesses to exploit that you can safely exploit.
I think I speak for the vast majority of open source developers and users when I say 'what is a Mir'?
While I'm sure whatever project it was was important to Mr. Shuttleworth - I don't think it every had awareness outside of a tiny circle of people, let alone is a source of significant hate, criticism, etc. from open source users and developers.
Uh, yeah. If they really only want to see if it's an employee doing it on company time, then it's no longer "political". That's actually a crime for a federal government worker to do such. The only real problem would be if it's not a government worker and they harass him - at that point I'll be concerned.
They cited tax law on imports as the basis for the warrant.
I was commenting about the general nature of such studies. Previous studies which have seperated out 'never drink' and 'former drinker' have shown opposite trends to the current study.
Also this study doesn't actually seperate out all 'former drinkers' from 'non drinkers', see their methodology.
". We reclassified non-drinkers as former drinkers if they had any record of drinking or a history of alcohol abuse in their entire clinical record entered on CPRD before study entry."
This will not capture a significant percentage of the former drinkers who are non drinkers. So contrary to your assertion, the current study did not truly separate out the two categories.
So is this another study that doesn't differentiate between 'never drink' and people who drank so much that they had to quit for health reasons and thus 'no longer drink'?
Studies that differentiate between the two tend to show that the never drink people are the healthiest, it is the drank to near death and quit that skew the numbers - and thus the '1 or 2 glasses' are only healthier relative to heavy drinking not to actual abstinence.
Programming high-level languages is the slide rule of the current era. Despite what many people think(cough cough Excel cough), you simply cannot be a scientist or engineer if you can't write decent code in, say R or python or Matlab.
I know lots of EE's and they don't write code, they spec turbine sizes, and transformers, and other such things. Most civil engineers and mechanical engineers don't need any coding knowledge either.
Trump is an extremely vindictive and extremely vain man - if you stroke his vanity then he will likely provide benefit (influence government contracts; direct regulators to do favorable actions) and if he feels he has been slighted he will be highly vindictive.
I don't play poker enough to know, but I wonder if many human players at the top level also try to win through discerning tells and weaknesses of opponents... if an AI can win so consistently is is using a technique that a human could also learn to get a step ahead of todays other human players?
These are all online pros (4 of the top 10 in the world). So their game is essentially entirely based on discerning patterns of betting behaviors and action frequencies.
Because I can do a lot of productive work in a short time, I'm well paid.
You are well payed because you are productive and there aren't enough productive programmers. If there were a surplus of skilled programmers, the wages for programming would drop dramatically.
I think what's important is the reality, not the spin. The important bit from the article is that we get 100,000 more jobs.
It will probably be a net 10,000,000 job loss for the US. Amazon is substituting for less efficient stores, by having automated stores that should replace people at least 10 to 1, and likely as much as 100 to 1.
I've work for Google for 2 years now. Without a court order, why does the government get to have my name, contact info, salary history, and God knows what else?
It is a legal requirement to in order to get any federal contracts. As part of the contract they are required to prove compliance with equal opportunity laws. They have the contracts, so they are required to abide by the terms.
Yesterday, Washington Post ran a story that the Russians hacked our power grid. What happened was a laptop, not connected to the grid, owned by the power company had malware on it. It wasn't even a valid news event, but they reported the Russians did it. Fake News.
The way you hack a system that is off the internet (air gapped - as most of the hardware that is directly connected to major infrastructure such as refineries and power generation) is that you leave USB sticks with malware on them where a victim will find them.
The victim then goes 'hmm I wonder what is on this USB stick' - plugs it into the computer, and the malware you put on the USB stick is transferred to the laptop.
Then once the laptop is used by a technician on the air gapped hardware, the infrastructure gets infected.
They 'hacked the power company', which is what the story claimed, they simply were unable to bridge the air gap because someone caught the infection in time.
Since the malware bore the signature of Russian hackers, it wasn't a 'fake' news story, you were simply not well enough informed to understand what was going on.
That isn't what is typically done in these studies. Rather than using a valid method (statistical correlates of names with race) they instead use forced choice ratios.
They ask a sample of 100 people is __name__ black or white?
Then based on the forced choice percentages they assign a 'race' to the name.
They tend to also use extremely common 'white' names and extremely uncommon 'black' names (The studies that have used common black names such as Ebony; show that the common black name ends up with better response rates than the less common white names).
Slashdot Mirror
Nonetheless, I wouldn't be surprised if a hyperloop from SF to SD cost close to 100 billion, since it hasn't been done before, and a regular railroad running through a tunnel can cost more than $100,000,000 per mile.
Tunnel costs are proportional to tunnel cross sectional area - the hyperloops are designed to have greatly reduced cross sectional area compared to traditional train tunnels.
Also tunnel costs are proportional to boring time, Musk is reengineering the TBM (tunnel boring machine) for dramatically faster boring.
https://www.boringcompany.com/...
The amended version, after their plant on the apple board stole the iphone idea
Another person clueless about history,
IBM did the first smartphone (touch screen phone with applications) in 1992, the 'multitouch' features of the iPhone were from the acquisition of FingerWorks in 2005 - a company that a variety of phone companies had been interested in.
The LG Prada had been released the year before to wide applause by industrial designers for its capacitive touch screen.
Samsung and Nokia both had touch screen smart phones, but were worried about cost, so hadn't released them yet, because they didn't think people would pay 'that much' for a phone.
So the 'iPhone idea' wasn't Apples idea at all and being on Apples board almost certainly didn't impact androids development. Apple simply provided the most refined version of the smartphone idea, one that was being simultaneously pursued by all major phone companies.
http://mashable.com/2012/11/09...
Perhaps the person 'noticing' the phenomenon, is the originator of the phenomenon and trying to increase traffic to the said porn sites by calling attention to this 'mystery'.
Yes, that would be very interesting. Deep Blue may have been a supercomputer, but it was still a human-scale machine. AlphaGo, on the other hand, runs on Google's immense computational cloud, which makes it a lot less impressive.
This version ran on a single computer.
What I don't get is... why the fuck they think somehow I'd listen to such a voicemail.
Their base is the elderly and the poor - who are both far more likely to listen to such voicemails.
AlphaGo doesn't try and maximize its win margin. It would have won by 15 points or more if the winning margin mattered.
When all paths lead to victory there is numerical instability in the rollouts so a move that gives a 15 point win margin, might, by chance get say 99.995% chance of winning, but one of the billions of other paths that also lead to a win will, by chance - give a rollout of 99.996% chance of winning. So every move in a won game is essentially random and will tend to reduce the win margin against a skilled opponent (who will always make a move that decreases their loss margin) until the win margin is 1/2.
Pick another random game. Chess, checkers, texas holdem, or some made up game. Give both AlphaGo and Ke Jie one hour to study the rules and then let's see who wins.
There is software called 'general game playing' software that does this, and they do quite well.
https://en.wikipedia.org/wiki/...
Because this is how you get a zombie apocalypse.
Or facebook doesn't get enough qualified women applying and thus hires less qualified women for programming jobs because they don't like the gender imbalance.
This results in the average quality of female engineers being lower - resulting in both women not rising in the ranks and in lower quality patches.
I thought Poker was a game of understanding your opponents not only based on past actions with cards but also by looking at facial expressions, body language and determining whether or not they have a good hand. Along with that, a big part is developing subtle gestures to throw your opponents off.
Reading body language only works with really bad players.
What modern poker AIs do is play 'game theoretically optimal' (GTO). If both players play GTO, then it is a draw, but if your opponent deviates from GTO then your GTO strategy will beat their strategy. If you are playing 'bad' players you can deviate from GTO and win even more than the GTO win rate (this is called exploitation), but it is better to simply play GTO until you know for sure that your opponent has weaknesses to exploit that you can safely exploit.
Seriously. Who the fuck was calling for lowered standards in forensic science?
Private prisons. They lobby for anything that results in higher and longer incarceration rates.
http://www.huffingtonpost.com/...
https://www.usatoday.com/story...
I think I speak for the vast majority of open source developers and users when I say 'what is a Mir'?
While I'm sure whatever project it was was important to Mr. Shuttleworth - I don't think it every had awareness outside of a tiny circle of people, let alone is a source of significant hate, criticism, etc. from open source users and developers.
Uh, yeah. If they really only want to see if it's an employee doing it on company time, then it's no longer "political". That's actually a crime for a federal government worker to do such. The only real problem would be if it's not a government worker and they harass him - at that point I'll be concerned.
They cited tax law on imports as the basis for the warrant.
https://www.law.cornell.edu/us...
How exactly are tweets criticizing the President related to investigate power for
Obviously there is zero relationship, and this is purely an attempt to abuse unrelated investigative powers for political purposes.
I'm shocked! Shocked to see the Trump administration abusing criminal investigative tools for political purposes.
Aaron Schwartz is a sad case, but what does that have to do with copyrighting public law?
He was publishing public records of cases, which is a similar nonsensical offense to publishing the law.
I was commenting about the general nature of such studies. Previous studies which have seperated out 'never drink' and 'former drinker' have shown opposite trends to the current study.
Also this study doesn't actually seperate out all 'former drinkers' from 'non drinkers', see their methodology.
". We reclassified non-drinkers as former drinkers if they had any record of drinking or a history of alcohol abuse in their entire clinical record entered on CPRD before study entry."
This will not capture a significant percentage of the former drinkers who are non drinkers. So contrary to your assertion, the current study did not truly separate out the two categories.
So is this another study that doesn't differentiate between 'never drink' and people who drank so much that they had to quit for health reasons and thus 'no longer drink'?
Studies that differentiate between the two tend to show that the never drink people are the healthiest, it is the drank to near death and quit that skew the numbers - and thus the '1 or 2 glasses' are only healthier relative to heavy drinking not to actual abstinence.
Programming high-level languages is the slide rule of the current era. Despite what many people think(cough cough Excel cough), you simply cannot be a scientist or engineer if you can't write decent code in, say R or python or Matlab.
I know lots of EE's and they don't write code, they spec turbine sizes, and transformers, and other such things. Most civil engineers and mechanical engineers don't need any coding knowledge either.
Trump is an extremely vindictive and extremely vain man - if you stroke his vanity then he will likely provide benefit (influence government contracts; direct regulators to do favorable actions) and if he feels he has been slighted he will be highly vindictive.
So giving him credit plays into his vanity.
I don't play poker enough to know, but I wonder if many human players at the top level also try to win through discerning tells and weaknesses of opponents... if an AI can win so consistently is is using a technique that a human could also learn to get a step ahead of todays other human players?
These are all online pros (4 of the top 10 in the world). So their game is essentially entirely based on discerning patterns of betting behaviors and action frequencies.
Because I can do a lot of productive work in a short time, I'm well paid.
You are well payed because you are productive and there aren't enough productive programmers. If there were a surplus of skilled programmers, the wages for programming would drop dramatically.
I think what's important is the reality, not the spin. The important bit from the article is that we get 100,000 more jobs.
It will probably be a net 10,000,000 job loss for the US. Amazon is substituting for less efficient stores, by having automated stores that should replace people at least 10 to 1, and likely as much as 100 to 1.
I've work for Google for 2 years now. Without a court order, why does the government get to have my name, contact info, salary history, and God knows what else?
It is a legal requirement to in order to get any federal contracts. As part of the contract they are required to prove compliance with equal opportunity laws. They have the contracts, so they are required to abide by the terms.
Yesterday, Washington Post ran a story that the Russians hacked our power grid. What happened was a laptop, not connected to the grid, owned by the power company had malware on it. It wasn't even a valid news event, but they reported the Russians did it. Fake News.
The way you hack a system that is off the internet (air gapped - as most of the hardware that is directly connected to major infrastructure such as refineries and power generation) is that you leave USB sticks with malware on them where a victim will find them.
The victim then goes 'hmm I wonder what is on this USB stick' - plugs it into the computer, and the malware you put on the USB stick is transferred to the laptop.
Then once the laptop is used by a technician on the air gapped hardware, the infrastructure gets infected.
They 'hacked the power company', which is what the story claimed, they simply were unable to bridge the air gap because someone caught the infection in time.
Since the malware bore the signature of Russian hackers, it wasn't a 'fake' news story, you were simply not well enough informed to understand what was going on.
That isn't what is typically done in these studies. Rather than using a valid method (statistical correlates of names with race) they instead use forced choice ratios.
They ask a sample of 100 people is __name__ black or white?
Then based on the forced choice percentages they assign a 'race' to the name.
They tend to also use extremely common 'white' names and extremely uncommon 'black' names (The studies that have used common black names such as Ebony; show that the common black name ends up with better response rates than the less common white names).