At my company (Fortune 100), we've been selling a lot of our public v4 space to implement... RFC1918 space. We've re-IP'd over 50,000 systems so far to private space. We just implemented NAT for the first time ever. I was surprised to see how far behind some companies are.
In case anyone is confused, the $500 ARIN fee is per transaction, not per IP.
$48 x 1024 (IPv4 /22) = $49,152. For that transaction the ARIN fee is effectively 1%, considerably lower than the commissions charged by the brokers (which also comes out of the seller's proceeds).
The ARIN fee covers their staff time to review the transfer - specifically the history of the legal entities involved, which as anyone who has dealt with ARIN knows is extremely thorough.
Usually if a response is greater than 512 bytes the DNS server will renegotiate on TCP 53. Note some DNS servers might not do this, but every normal implementation does that I’m aware of.
General question: where does this research lead to? As in what might be the next step for this research team, and/or their field in general? I always like to understand what discoveries like this could open up in the future.
*Asking as someone not in the field or any type of physics/mathematics
There are theoretical and potentially practical implications for this work. Black hole stability can be considered a kind of stress-test for General Relativity as a theory. If we believe the universe has rotating black holes, then we expect a valid theory to predict they are stable (or at least not catastrophically unstable). So a stability result helps validate the theory by at least showing there's one fewer way to refute it.
Some parts of the proof may actually be more insightful or practical than the result itself, but they don't get discovered or understood in detail until someone sits down and attempts to prove the result. If I had to guess, the most likely truly practical implication might be that some of the insights within the proof could help with numerical simulations of black holes. And if they help with numerical simulations of black holes, they might also help with numerical simulations of other PDEs that are more relevant in engineering.
5G really only works well in dense/populated areas. In central Colorado I'm lucky to get 4G LTE in town, and usually expect 3G. Most areas in the US west (Utah, Wyoming, etc) don't have any service. It's very different if you're way out.
> dense/populated areas
Not even that. Verizon is so congested in a lot of areas that you can have a very strong signal but literally data just doesn't work.
ya cell service is pretty bad. I go play soccer t the same fields I bring my kids to. When its adult games I get great speeds. When its practice for my kids and all the adults are on their phones watching youtube, I get such bad speeds at the same location
“ In each previous section, what was at issue was a discrepancy between two figures, both obtained from data provided by Columbia. Regarding class sizes, the information provided to U.S. News conflicts with the information in the Directory of Classes. Regarding terminal degrees, the information provided to U.S. News conflicts with the information in the Columbia College Bulletin. Regarding full-time faculty, the information provided to U.S. News conflicts with the information provided to the Department of Education. And so on.”
The big conclusions are that Columbia seems to be providing inaccurate data, and that one of the outcomes of chasing rankings are that transfer students end up as second class students, at least at Columbia.
I think it’s a data driven case of how elite universities can perpetuate a system of reduced social mobility. For Columbia, the objectively more poor transfer students support the more wealthy non-transfer students, and the graduation rate shows that disparity.
> one of the outcomes of chasing rankings are that transfer students end up as second class students, at least at Columbia.
Interesting — when I was in law school, transfer students benefitted from the fact that they avoided our harsh first-year grading curves (20% A's, 60% B's, and 20% C's). The curve for second- and third-year classes was much more lenient, and it was relatively easy to get a 3.5 average during those years.
As a result, the transfer students disproportionately ended up with the highest GPAs, which seemed unfair to those of us who were there all 3 years.
Plenty of first/second world country have more friendly tax laws. Many don’t tax foreign income, and if you live outside the US for 300 days per year, you get a $100k tax write off up front.
There are many legal ways to live in nice places and pay low tax.
The Google Analytics Measurement Protocol documentation was used. We created a middleware which sends data to GA as a POST request (much like our regular logs middleware)
