Hey - still thinking about sources here. With the data I have, I could actually do an interesting analysis of news sources - i.e.:
- how often do their stories become members of clusters?
- how "fast" are they to publish on a topic vs. other competitors - i.e.: who "breaks" the news?
- what tags (people, companies, topics) does a given source stick close? Which do they shy away from?
Thanks very much for a really interesting set of ideas to explore!
Buying an Oculus actually did allow me to successfully restore my wife's Facebook after it was hacked, thanks to finding probably the same thread you're referencing.
The amount of emotional capital held in various platforms is terrifying when you consider how easy it is to be locked out.
I now regularly "takeout" all of our actively used platforms and store them on physical media.
This is corporate fraud and I would love there to be an internal email discovered, "Hey, our game plan is to control the Oculus ecosystem purely so people have to buy it if they want their Facebook account unbanned (which we'll randomly do on occasion, to ensure this happening)"
Consumer grade CPUs aren't meant to be pushed with heavy load 24/7, meaning, durability becomes another variable which, in my experience, will quickly outweigh the brief burst of speed.
I think this is the best path if your problem can support it.
I use a 5950X for running genetic programming and neuroevolution experiments and about once every 100 hours the machine will just not like the state/load it is experiencing and will restart. My approach is to checkpoint as often as possible. I restart the program the next morning and it deserializes the last snapshot from disk. Worst case, I lose 5 minutes of work.
This also helps with Windows updates, power outages, and EM/cosmic radiation.
FWIW, clicking around, there are some odd display issues in the "References" (h<b>ttp</b>s://attack.<b>mitre</b>.org/techniques/<b>T1486</b>)
It looks like you're embedding data from Twitter - are you paying for decahose/enterprise access or just paying for a low volume of high value tweets (i.e. I'm seeing many from FalconFeedsio, DailyDarkWeb)
I can jump in on the data source question - we can track specific accounts and keywords on Twitter, we aren't paying for the full firehose yet. We also track those original ransomware and dark web sites and blogs being referenced and just figuring out how best to cluster them all into the same event. Thanks for checking it out!
The other purpose of the ad is to keep the product top of mind. Those bubbles-and-ice ads aren't to introduce you to the concept but to remind you that you want one - now.
Sure, there are a lot of potential rationales offered for more and more, and more advertising. But when I looked into it, awareness was literally the only one with clear statistical evidence that independent researchers had gone yeah, that actually works. If you don't tell any customers your product exists, that's definitely not going to help sell more. Story checks out. Beyond that? I haven't seen the evidence.
Obviously the guy at the TV network is not going to tell Jim from Ad Co. that it's futile to advertise Pepsi because everybody knows about Pepsi. And Jim isn't going tell Pepsi's Head of Marketing that it's futile to spend money with Ad Co. because Pepsi makes up a noticeable part of Jim's annual sales bonus. The Head of Marketing would no longer have a job if they stopped advertising, so no fear they will spontaneously realise. All of them will prefer to make up stories for why it makes sense to spend more and more and more on advertising, because they all benefit. But does it actually work?
Fellow Chicagoan here! I went down one of the piers and saw it as well. At first it looked like cirrus clouds but the colors emerged as my eyes acclimated. I thought it was my brain hallucinating the details it expected but my phone validated what I was seeing. Truly stunning even with just a 2sec exposure.
