travisglines
Pair one of these Threadrippers with a pair of the fastest NVMe SSD's out there, with plenty of high performance DDR4 memory and you've got a near supercomputer from recent past in terms of performance.
Data Is Beautiful, one of my favorite short clip youtube channels does this for all of their content:
I didn't mean for my response to be perceived as negative for GCP, was only hoping to inspire those at GCP to continue to focus on the customer experience rather than features. AWS certainly needs the competition and I've also had great experiences using Google's cloud platform.
I certainly don't think a student just learning the ins and outs of a cloud provider's services should be able to spend 10k+ without warnings/thresholds that require configuration to exceed. It would be positive for platform adoption to make that process better.
I've used GCP in the past, including decisions on which cloud providers to use where we spent north of 1M USD/month.
Honestly Google's efforts are best focused on support issues like this and customer service rather than features to compete with AWS at the moment. A lot about GCP's setup is simpler and their network/hardware is well known to be better per dollar spent.
However, I've always found the ability to contact an AWS rep and work through a tough situation on billing/quotas to be much more convenient.
That often shifts the decision in Amazon's favor.
At this point in 2019 intelligence gathering and government/corporate security vulnerabilities are much more in the digital realm than physical. Wifi enabled cameras/microphones, cell phones, servers, consumer computers, usb devices, iot devices are all used to that end.
We need to hold the flame to OS vendors to handle basic security precautions. It's not like the US government doesn't have contract negotiations with them large enough to force the issue.
It's also unacceptable to have security around the most protected person on the planet be ignorant to common attack vectors and procedures.
Automated Machine Learning – A Paradigm Shift Airbnb
Fortune 500 Cos. Fuel DataRobot's Surging Revenue
Can AI Make the Sexiest 21st Century Job Obsolete?
Cassandra: tuning the JVM for read heavy workloads
It
Takes a combination of luck and skill
Speed through quick iteration to out maneuver and eventually devour the big guys
Frequent failures due to bad starting conditions
Partnering with the right people early on is vital
Later on you need your acquisitions to be large enough to move the needle
Sometimes there is really no way to oust the established player in a mature market from a small players perspective
I think maybe some signs of aging or negatory effects of size would be cool to add in.Cool concept!
You're right, I did assume that the lean mass lost came out of muscle in retrospect. Given his weight loss ratios I'd guess that it has to be, but it may be all water.
One interesting point here is if he lost significant water weight then he could have actually gained muscle as he lost fat. (that one's hard to tell though)
He went from 219.2 at 35% body fat to 195.8 at 28.1%. If you do the back of the napkin math real quick that works out as follows:
219.2 * .35 = 76.72 lbs of initial fat
219.2 - 76.72 = 142.48 lbs of lean mass
195.8 * .281 = 55.02 lbs of final fat
195.8 - 55.02 = 140.78 lbs of lean mass
That means he lost ... 1.7 lbs of muscle
21.7 lbs of fat
Normally I say that these diets are often bad, and end up putting you back further where you started because you lose so much muscle and therefore regain it all much quicker.However in this case 92% of his weight loss was fat, which is awesome.
http://www.reddit.com/r/technology/comments/xel55/startup_cl...
It's been sitting on the front page for the past few hours. I suspect several sources led to the TC article and then through to the post on HN.
In your scan vs. query example I'd want to duplicate the data to two indicies ... and running both through a query call. If I can get even a decent amount of consistency this way (the real challenge to the multi-index problem using this method) for small/medium data sizes it would work and still be cost effective. At larger data sizes an application will most likely know which queries it needs to execute consistently in an indexed fashion and which could be farmed out through elastic map reduce.
As mentioned here:
https://forums.aws.amazon.com/thread.jspa?messageID=332629
Amazon is looking into these concerns and I'd like my abstraction to stay constant throughout the transition. (while informing the user as to what its actually doing)Dynasaur: A DynamoDB ORM for Node.js
Ask HN: IP blocked after refreshing too much
Yesterday I submitted a post and wanted to watch its votes/time trajectory as it moved up in the rankings. In order to do that I refreshed fairly frequently and got my IP banned.Is there a reasonable mechanism to appeal this?For reference the ip is 69.26.158.178
SpaceX Falcon 9 Launch Successful
Leap: A new gesture based interface for devices
There is a bit of slight of hand here that makes this look like a CSS3 animation but I'm pretty sure it's not.
Upon initial page load there is a canvas that takes up the background that has the zipper, logo, split input's and buttons on it. On top of that they have real DOM input and buttons.
When you touch the zipper they hide the DOM elements and reveal the underlying canvas. The background page is loaded and the canvas animation proceeds and reveals the background page.
This thought is sickening.
http://www.leandomainsearch.com/search?q=shop
Fix the bugs and it'd be great.