oh man this is equal measures creepy and hilarious for the poorly though out implications of tying your ad to the first sentence of an article on wikipedia
Google doesn't use the live page though, so it took a while before the changed page got cached and messed with it.
How far away until these kinds of devices only respond to your unique voice? Or just say an authorization code/password before doing a request like when they say their code for the self destruct sequence in Star Trek.
How far away until these kinds of devices only respond to your unique voice? Or just say an authorization code/password before doing a request like when they say their code for the self destruct sequence in Star Trek.
Not too far. They have "trusted voice" for phones, which tries to learn your voice pattern and waveform. Google Home is supposed to add multiple users soon, so they may be rolling out a sort of voice recognition to make that simpler.
If I had the programming chops I'd totally design my own home automation system for my theoretical house I want to build. There's a lot of cool things you can do with smart home technology but I'm sure as hell not installing any of the commercial options in my home. It's bad enough I'm basically socially bound to working with Google and Facebook on my computer.
Keep them backed up, it's hard to have any notice about drive death. I noticed one dead in my little server box on friday, it would be.. geez, 5/6 years old? About when 3TB drives got to being a reasonable price point.
You can also set them up in matching pairs as a mirror of each other, so that if one dies you don't lose data. But you should still also do backups over and above that.
I keep thinking about backing up my more important data as I don't currently do so.
Really I don't have all that much, but it'd be a huge pain if a HDD would fail on me.
I dunno I probably would only need a 2 TB external to make a total backup.
I also think sometimes about getting a NAS at some point and using it to backup all my stuff on my network and move it as needed.
(Maybe rip my blurays to it and transcode and stream them to my rapsberry pi or my chromecast so I con't always have to juggle the actual disks in my PS4 drive)
I bought my turn table for fifteen bucks from a thrift store.
I could hella use an upgrade at some point.
Have you replaced belts and the cartridge at least? If it's a bit average sounding, that could help. Also giving any contacts and whatnot a good cleaning.
One of my greatest regrets is letting mum and dad's old National quadraphonic hi-fi with integrated turntable go. I'd've had to have had it sent across the country, but it would have been worth it. Dammit past self.
about this time last year I sat down and planned out a general computer upgrade path which included an optional fork into purchasing the Vive during Black Friday 2017. I had, oh, several reasons: I wanted to space out the purchases a bit; I'm not super fond of being an early adopter; and I'm very frugal: the idea of dropping $800 on a piece of leisure tech is terrifying.
but I'm more willing to spend that kind of money when part of it comes from a tax return, and mine (unless I've done something wrong) will take a nice bite out of it. I had a couple of questions, though, to help organize my thoughts.
I ran the SteamVR Performance Test program, and it seems like my rig averages "very high" - the steam overlay FPS report never drops below 100 (though it's not stable) and the final dialog box gives the average quality an 8.7. I guess that's my first question: in your experience, is the test accurate?
I saw a post from March 1 where the Rift had a massive price drop, and speculation was that the Vive would follow suit. It apparently hasn't (yet) so I'm curious if that's still expected. Assuming it's not, would it be reasonable to expect the sale price to remain ~$100 off as it was for holiday 2016 and the anniversary?
What's the general temperature of the community?
What sort of issues (bugs, mainly) are being encountered?
Is there a killer app?
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MrMonroepassed outon the floor nowRegistered Userregular
about this time last year I sat down and planned out a general computer upgrade path which included an optional fork into purchasing the Vive during Black Friday 2017. I had, oh, several reasons: I wanted to space out the purchases a bit; I'm not super fond of being an early adopter; and I'm very frugal: the idea of dropping $800 on a piece of leisure tech is terrifying.
but I'm more willing to spend that kind of money when part of it comes from a tax return, and mine (unless I've done something wrong) will take a nice bite out of it. I had a couple of questions, though, to help organize my thoughts.
I ran the SteamVR Performance Test program, and it seems like my rig averages "very high" - the steam overlay FPS report never drops below 100 (though it's not stable) and the final dialog box gives the average quality an 8.7. I guess that's my first question: in your experience, is the test accurate?
I saw a post from March 1 where the Rift had a massive price drop, and speculation was that the Vive would follow suit. It apparently hasn't (yet) so I'm curious if that's still expected. Assuming it's not, would it be reasonable to expect the sale price to remain ~$100 off as it was for holiday 2016 and the anniversary?
What's the general temperature of the community?
What sort of issues (bugs, mainly) are being encountered?
So I'm interested in big data stuff, without any comp sci background, and to me it seems like the real power of big data applications for business is if you can do statistical analysis, otherwise you've just got lots of numbers and visualizations.
Monroe what's your take on it?
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BroloBroseidonLord of the BroceanRegistered Userregular
Psychohistory depends on the idea that, while one cannot foresee the actions of a particular individual, the laws of statistics as applied to large groups of people could predict the general flow of future events. Asimov used the analogy of a gas: an observer has great difficulty in predicting the motion of a single molecule in a gas, but can predict the mass action of the gas to a high level of accuracy. (Physicists know this as the Kinetic theory). Asimov applied this concept to the population of his fictional Galactic Empire, which numbered a quintillion. The character responsible for the science's creation, Hari Seldon, established two axioms:
that the population whose behaviour was modeled should be sufficiently large
that the population should remain in ignorance of the results of the application of psychohistorical analyses
There is a third underlying axiom of Psychohistory, which is trivial and thus not stated by Seldon in his Plan:
that Human Beings are the only sentient intelligence in the Galaxy.
about this time last year I sat down and planned out a general computer upgrade path which included an optional fork into purchasing the Vive during Black Friday 2017. I had, oh, several reasons: I wanted to space out the purchases a bit; I'm not super fond of being an early adopter; and I'm very frugal: the idea of dropping $800 on a piece of leisure tech is terrifying.
but I'm more willing to spend that kind of money when part of it comes from a tax return, and mine (unless I've done something wrong) will take a nice bite out of it. I had a couple of questions, though, to help organize my thoughts.
I ran the SteamVR Performance Test program, and it seems like my rig averages "very high" - the steam overlay FPS report never drops below 100 (though it's not stable) and the final dialog box gives the average quality an 8.7. I guess that's my first question: in your experience, is the test accurate?
I saw a post from March 1 where the Rift had a massive price drop, and speculation was that the Vive would follow suit. It apparently hasn't (yet) so I'm curious if that's still expected. Assuming it's not, would it be reasonable to expect the sale price to remain ~$100 off as it was for holiday 2016 and the anniversary?
What's the general temperature of the community?
What sort of issues (bugs, mainly) are being encountered?
So I'm interested in big data stuff, without any comp sci background, and to me it seems like the real power of big data applications for business is if you can do statistical analysis, otherwise you've just got lots of numbers and visualizations.
Monroe what's your take on it?
There's a couple things that we're trying to talk about when we talk about "big data" and "machine learning" and "AI", and I think we use these strategies to solve a few particular explicit organizational problems.
First there's the "plumbing" type stuff. You want the information about customers to flow from your CRM to your financial database without anyone having to do anything. You want Right Users to have the Right Information at the Right Time. You want to avoid taking 28 days to close the books on a month. Specialists in this area are SQL masters, Python programmers, and maybe Javascript people in finance.
Second there's the enterprise planning benefits you get from having everything centralized so you can incorporate a view of the current state of the business in your FP&A. Additionally, every individual business unit's forecasting is strengthened when they have access to all the information from other departments that they need. This area is sadly dominated by moderately talented Excel monkeys. I think there might be growth space here for people who want to incorporate statistical practice into holistic planning models that make use of an actual data system.
Then there's "data science". A "Data Scientist" is, as the joke goes, a statistician who lives in San Francisco. Their domain is growing but still mostly focused on understanding customer behavior. You're expected to run segmentation, cluster analysis, etc. Marketing is an obvious and excellent application for statistical practice, but people are using regression modelling for operational purposes more and more. (usually forecasting) The tools of the trade here are R, SAS, maybe SPSS. A lot of analytical software these days has the basic functionality, especially regression modelling.
Statistical practice gets more and more valuable the more data you generate, because models get more and more reliable with more training data. However, I'd hardly say that non-statistical data practice is just "lots of numbers and visualizations", since getting the plumbing right is 100% a prerequisite to meaningful statistical practice and those visualizations are incredibly useful to users.
"Machine Learning" usually means we throw Bayes' Theorem at a model automatically at a given interval, but there's a lot of people doing cool stuff that I don't understand mathematically to do unassisted learning in statistical practice and other amazing stuff I will probably never understand.
I'm looking to buy an UPS, but I'm not savvy with power ratings and stuff like that. Say I wanted an UPS that's going to plug into a standard 120v home outlet, and I wanted it to last maybe 15-20 minutes sustaining 1 PC, a couple gaming consoles, and other small accessories. Anyone have recommendations? I don't want to break the bank for it but I don't know how much power is enough.
I'm looking to buy an UPS, but I'm not savvy with power ratings and stuff like that. Say I wanted an UPS that's going to plug into a standard 120v home outlet, and I wanted it to last maybe 15-20 minutes sustaining 1 PC, a couple gaming consoles, and other small accessories. Anyone have recommendations? I don't want to break the bank for it but I don't know how much power is enough.
If you're looking at running everything at the same time on battery then probably you're looking at the 3000VA range. Personally I've got a 1500VA for my computer, which will last for about 10 minutes if I'm playing a AAA game with maxed out settings and 1000VA for my entertainment center which lasts 15-20 minutes if I'm using a console at the time. I've been running Tripplite for a while, just make sure to buy a model that lets you replace the battery so you can save yourself a few bucks in a few years when the battery gives out.
+1
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KwoaruConfident SmirkFlawless Golden PecsRegistered Userregular
edited April 2017
Got a new phone, galaxy s7 edge
It's a nice phone but the curved edge thing is weird and more distracting than useful
Camera's definitely have improved and the S7 has an excellent short time between pressing the camera button and being able to take a photo.
Touch screen accuracy has also really improved, over time.
But yeah, the progress is definitely slowing down and in general I would advice 90% of people to buy a $300 midtier phone.
They're still 2-3 year disposables thanks to software and battery bullshit.
I'm looking to buy an UPS, but I'm not savvy with power ratings and stuff like that. Say I wanted an UPS that's going to plug into a standard 120v home outlet, and I wanted it to last maybe 15-20 minutes sustaining 1 PC, a couple gaming consoles, and other small accessories. Anyone have recommendations? I don't want to break the bank for it but I don't know how much power is enough.
If you're looking at running everything at the same time on battery then probably you're looking at the 3000VA range. Personally I've got a 1500VA for my computer, which will last for about 10 minutes if I'm playing a AAA game with maxed out settings and 1000VA for my entertainment center which lasts 15-20 minutes if I'm using a console at the time. I've been running Tripplite for a while, just make sure to buy a model that lets you replace the battery so you can save yourself a few bucks in a few years when the battery gives out.
Judging by the price of a 3000VA UPS, that is not quite what I'm looking for. To clarify though, I'm not looking for a model that will run all those things simultaneously, I'd have some combination of those devices but most would probably be in standby and I'd only need the UPS to hold long enough to allow me time to shut things down properly in the event I can tell the power isn't coming back soon. Based on your use, I could probably get away with ~1500VA I would think.
godmode on
+2
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webguy20I spend too much time on the InternetRegistered Userregular
Camera's definitely have improved and the S7 has an excellent short time between pressing the camera button and being able to take a photo.
Touch screen accuracy has also really improved, over time.
But yeah, the progress is definitely slowing down and in general I would advice 90% of people to buy a $300 midtier phone.
They're still 2-3 year disposables thanks to software and battery bullshit.
I think we'll see software obsolescence start to be less of an issue as the power of phones stops progressing at such a high pace and everything is switched over to 64 bit (See Apples current software upgrade woes).
Batteries are replaceable with a nominal fee so that shouldn't be an issue to most people at this point.
I'm still running my iPhone 5S and it works just fine, except I need to replace the battery which I plan to do soon. When I upgrade this fall my wife will get it when I get a new phone so it should see its life run through at least 5 years of use if not 6, which is pretty good for something carried in a pocket every day.
Still agree about getting a mid tier if you upgrade a lot or a year old latest and greatest, and a new high end if you plan to drive it into the ground. I'm really hoping the new iphone has all the new camera tech from last year in the smaller version. Thats all I really want a new phone for, is better camera tech.
So I'm interested in big data stuff, without any comp sci background, and to me it seems like the real power of big data applications for business is if you can do statistical analysis, otherwise you've just got lots of numbers and visualizations.
Monroe what's your take on it?
[...]
Then there's "data science". A "Data Scientist" is, as the joke goes, a statistician who lives in San Francisco. Their domain is growing but still mostly focused on understanding customer behavior. You're expected to run segmentation, cluster analysis, etc. Marketing is an obvious and excellent application for statistical practice, but people are using regression modelling for operational purposes more and more. (usually forecasting) The tools of the trade here are R, SAS, maybe SPSS.
People definitely use R, but SAS is quite rare in mainstream data science. Nowadays that's stuff like Hadoop, BigQuery, Cassandra, Hive, etc. SAS is more for like, government contracting firms that have datasets from the 1970s and tons of legacy shit.
So I'm interested in big data stuff, without any comp sci background, and to me it seems like the real power of big data applications for business is if you can do statistical analysis, otherwise you've just got lots of numbers and visualizations.
Monroe what's your take on it?
[...]
Then there's "data science". A "Data Scientist" is, as the joke goes, a statistician who lives in San Francisco. Their domain is growing but still mostly focused on understanding customer behavior. You're expected to run segmentation, cluster analysis, etc. Marketing is an obvious and excellent application for statistical practice, but people are using regression modelling for operational purposes more and more. (usually forecasting) The tools of the trade here are R, SAS, maybe SPSS.
People definitely use R, but SAS is quite rare in mainstream data science. Nowadays that's stuff like Hadoop, BigQuery, Cassandra, Hive, etc. SAS is more for like, government contracting firms that have datasets from the 1970s and tons of legacy shit.
Or in academics. Still entire courses devoted to it at my Alma Mater.
Gamertag: KL Retribution
PSN:Furlion
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BroloBroseidonLord of the BroceanRegistered Userregular
More and more I'm glad Austin voted to say fuck you to Uber and Lyft. I'd rather see some new startups in the area like we've gotten recently than deal with these really shitty corporations.
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webguy20I spend too much time on the InternetRegistered Userregular
The data-buying doesn't bother me so much as the "tracking users even after they deleted app" bit, since that implies that deleting the app actually doesn't delete the app and that's pretty fucking fraudulent to me.
The data-buying doesn't bother me so much as the "tracking users even after they deleted app" bit, since that implies that deleting the app actually doesn't delete the app and that's pretty fucking fraudulent to me.
Yeah, how does that work? I understand in Windows and Android where apps can get file access and leave things behind, but I thought iOS was more sandboxed and apps wouldn't be able to run something like a tracker if the main app had been deleted. Seems like something that should have been noticed in the app review before it was published, assuming they test for that sort of thing. Seems like they would considering how rigorous their testing is reported to be.
Posts
I read that they stopped it, but when I played the ad on my TV it still triggered.
Google doesn't use the live page though, so it took a while before the changed page got cached and messed with it.
Not too far. They have "trusted voice" for phones, which tries to learn your voice pattern and waveform. Google Home is supposed to add multiple users soon, so they may be rolling out a sort of voice recognition to make that simpler.
It's nice. Rega RP3 turntable and their pre-amp box. Sounds great through the rest of my hi-fi gear.
Oh, well Douglas Hi-Fi in the city were doing 20% off last night because it's record day on saturday apparently? Still pretty $$$y though.
Mine is an audio technica at-lp60.
It was on sale for like 50 bucks I think.
Do I just keep using them until they fail or should I switch them out now?
if they're not throwing any errors, might as well keep using them
You can also set them up in matching pairs as a mirror of each other, so that if one dies you don't lose data. But you should still also do backups over and above that.
Really I don't have all that much, but it'd be a huge pain if a HDD would fail on me.
I dunno I probably would only need a 2 TB external to make a total backup.
I also think sometimes about getting a NAS at some point and using it to backup all my stuff on my network and move it as needed.
(Maybe rip my blurays to it and transcode and stream them to my rapsberry pi or my chromecast so I con't always have to juggle the actual disks in my PS4 drive)
I love when people chuck their names in their business name. There's something inherently charming yet amusing about Douglas Hi-Fi.
I could hella use an upgrade at some point.
Looking back, I should have strolled in and said 'Orright Dougie, what's up?'.
Clearly I'd be the first person to have done that.
Have you replaced belts and the cartridge at least? If it's a bit average sounding, that could help. Also giving any contacts and whatnot a good cleaning.
One of my greatest regrets is letting mum and dad's old National quadraphonic hi-fi with integrated turntable go. I'd've had to have had it sent across the country, but it would have been worth it. Dammit past self.
about this time last year I sat down and planned out a general computer upgrade path which included an optional fork into purchasing the Vive during Black Friday 2017. I had, oh, several reasons: I wanted to space out the purchases a bit; I'm not super fond of being an early adopter; and I'm very frugal: the idea of dropping $800 on a piece of leisure tech is terrifying.
but I'm more willing to spend that kind of money when part of it comes from a tax return, and mine (unless I've done something wrong) will take a nice bite out of it. I had a couple of questions, though, to help organize my thoughts.
I ran the SteamVR Performance Test program, and it seems like my rig averages "very high" - the steam overlay FPS report never drops below 100 (though it's not stable) and the final dialog box gives the average quality an 8.7. I guess that's my first question: in your experience, is the test accurate?
I saw a post from March 1 where the Rift had a massive price drop, and speculation was that the Vive would follow suit. It apparently hasn't (yet) so I'm curious if that's still expected. Assuming it's not, would it be reasonable to expect the sale price to remain ~$100 off as it was for holiday 2016 and the anniversary?
What's the general temperature of the community?
What sort of issues (bugs, mainly) are being encountered?
Is there a killer app?
Heh.
Hella.
You may want to ask over in the VR thread.
There are no real killer apps in the sense of killer main stream games it seems, but plenty of people seem happy too. For some degree of happy.
My personal experience with VR is my brother having one and it's been collecting dust since he got it almost. But that's 1 person, obviously.
Monroe what's your take on it?
cool, I'll wander that way. Thanks!
There's a couple things that we're trying to talk about when we talk about "big data" and "machine learning" and "AI", and I think we use these strategies to solve a few particular explicit organizational problems.
First there's the "plumbing" type stuff. You want the information about customers to flow from your CRM to your financial database without anyone having to do anything. You want Right Users to have the Right Information at the Right Time. You want to avoid taking 28 days to close the books on a month. Specialists in this area are SQL masters, Python programmers, and maybe Javascript people in finance.
Second there's the enterprise planning benefits you get from having everything centralized so you can incorporate a view of the current state of the business in your FP&A. Additionally, every individual business unit's forecasting is strengthened when they have access to all the information from other departments that they need. This area is sadly dominated by moderately talented Excel monkeys. I think there might be growth space here for people who want to incorporate statistical practice into holistic planning models that make use of an actual data system.
Then there's "data science". A "Data Scientist" is, as the joke goes, a statistician who lives in San Francisco. Their domain is growing but still mostly focused on understanding customer behavior. You're expected to run segmentation, cluster analysis, etc. Marketing is an obvious and excellent application for statistical practice, but people are using regression modelling for operational purposes more and more. (usually forecasting) The tools of the trade here are R, SAS, maybe SPSS. A lot of analytical software these days has the basic functionality, especially regression modelling.
Statistical practice gets more and more valuable the more data you generate, because models get more and more reliable with more training data. However, I'd hardly say that non-statistical data practice is just "lots of numbers and visualizations", since getting the plumbing right is 100% a prerequisite to meaningful statistical practice and those visualizations are incredibly useful to users.
"Machine Learning" usually means we throw Bayes' Theorem at a model automatically at a given interval, but there's a lot of people doing cool stuff that I don't understand mathematically to do unassisted learning in statistical practice and other amazing stuff I will probably never understand.
If you're looking at running everything at the same time on battery then probably you're looking at the 3000VA range. Personally I've got a 1500VA for my computer, which will last for about 10 minutes if I'm playing a AAA game with maxed out settings and 1000VA for my entertainment center which lasts 15-20 minutes if I'm using a console at the time. I've been running Tripplite for a while, just make sure to buy a model that lets you replace the battery so you can save yourself a few bucks in a few years when the battery gives out.
It's a nice phone but the curved edge thing is weird and more distracting than useful
I have one, it looks cool but does nothing
faster processors, bigger screens, feels like not a whole lot else has changed
Touch screen accuracy has also really improved, over time.
But yeah, the progress is definitely slowing down and in general I would advice 90% of people to buy a $300 midtier phone.
They're still 2-3 year disposables thanks to software and battery bullshit.
Judging by the price of a 3000VA UPS, that is not quite what I'm looking for. To clarify though, I'm not looking for a model that will run all those things simultaneously, I'd have some combination of those devices but most would probably be in standby and I'd only need the UPS to hold long enough to allow me time to shut things down properly in the event I can tell the power isn't coming back soon. Based on your use, I could probably get away with ~1500VA I would think.
I think we'll see software obsolescence start to be less of an issue as the power of phones stops progressing at such a high pace and everything is switched over to 64 bit (See Apples current software upgrade woes).
Batteries are replaceable with a nominal fee so that shouldn't be an issue to most people at this point.
I'm still running my iPhone 5S and it works just fine, except I need to replace the battery which I plan to do soon. When I upgrade this fall my wife will get it when I get a new phone so it should see its life run through at least 5 years of use if not 6, which is pretty good for something carried in a pocket every day.
Still agree about getting a mid tier if you upgrade a lot or a year old latest and greatest, and a new high end if you plan to drive it into the ground. I'm really hoping the new iphone has all the new camera tech from last year in the smaller version. Thats all I really want a new phone for, is better camera tech.
Origin ID: Discgolfer27
Untappd ID: Discgolfer1981
People definitely use R, but SAS is quite rare in mainstream data science. Nowadays that's stuff like Hadoop, BigQuery, Cassandra, Hive, etc. SAS is more for like, government contracting firms that have datasets from the 1970s and tons of legacy shit.
Or in academics. Still entire courses devoted to it at my Alma Mater.
PSN:Furlion
https://mobile.nytimes.com/2017/04/23/technology/travis-kalanick-pushes-uber-and-himself-to-the-precipice.html
man
uber is a pile of fuckers
Based on that last paragraph it sounds like probably lyft buys Uber's data as well.
Origin ID: Discgolfer27
Untappd ID: Discgolfer1981
Yeah, how does that work? I understand in Windows and Android where apps can get file access and leave things behind, but I thought iOS was more sandboxed and apps wouldn't be able to run something like a tracker if the main app had been deleted. Seems like something that should have been noticed in the app review before it was published, assuming they test for that sort of thing. Seems like they would considering how rigorous their testing is reported to be.