Since Google has named it 'confidential mode' and not 'secured mode', it is evident (to me at least, the word `confidential` means `me, you and anyone else you tell`) that there is no encryption. I won't use Gmail anyway if I am paranoid about security. I like this feature, hopefully this mode will also give options to decide longevity of incoming emails.
SW has a tendency to describe features of a person which I find utterly fascinating (for eg: 'Turing used to giggle a lot', now compare that with the somber depiction of Turing in 'The Imitation Game'). In the write up on Ramanujam, SW mentions that he was stocky, apart from many personal tidbits.
I discovered this book by looking for more information on state charts vs state machines. Harel writing also got me interested in Topology:
"Topological features are a lot more fundamental than geometric ones, in that topology is a more basic branch of mathematics than geometry in terms of symmetries and mappings. One thing being inside another is more basic than it being smaller or larger than the other, or than one being a rectangle and the other a circle. Being connected to something is more basic than being green or yellow or being drawn with a thick line or with a thin line." [1]
I really like this article, although I don't fully understand most of the parts, mainly because I don't know much about brokerage and investment. But, I am joining the workforce soon, and it behooves me to have some grasp on these topics. Any non-Michael Lewis type book(s) you fine people would want to recommend?
https://www.bogleheads.org/wiki/Main_Page is what you need if you're just joining the workforce. the details of how these large companies make their money is interesting, but tangential to your needs.
The book I buy all of my cousins joining the workforce is I Will Teach You To Be Rich, which has an unfortunate title, doesn't teach you much about brokerages and investment options, but has the core right advice about personal finance management.
1. You don't need fancy investment knowledge. In fact, you should actively avoid fancy knowledge until you have a firm grasp on the dead simple stuff.
2. Retirement investments should be: simple and boring. Once you have a solid financial plan in place that meets those criteria go ahead and gamble with whatever extra money you have if you wish.
Assuming you want to invest in equities (which can be a whole other discussion), the biggest mistake newbs make is waiting too long. Don't try to devote months to learning things, because even after doing that you won't know anything. Just sign up for an account somewhere (it's relatively painless) and start putting money into the appropriate Vanguard target retirement fund. You can always change your mind and reallocate later, but you can't go back and pick up on lost gains that you missed out on because you were too scared/intimidated/clueless to open a brokerage account. I have late-20s coworkers who have all substantially all of their assets in high-yield savings accounts (or worse) and it pains me to hear them say that, but hey, it's their money.
Think about whether your retirement has to be planned out, or if you can afford uncertainty. The latter allows you to plan to either get by in a small place and live with pretty much just the bare necessities, or, if lucky, end up not having to work anymore at 40 with a nice house payed in cash. Just decouple enough from localized risk. E.g., if you were in a smaller country with it's own currency, maybe try to avoid anything formally denominated in that currency, as it's not hedged against inflation and small countries tend to go to printing cash if they're broke. Only optimize for a good trade-off between risk-exposure and re-shuffling costs (in this case, brokerage commissions). The wider the spread, the less any localized event hits you. If you're spread on the world, GDP-weighted, you loose less than 30% if the complete north american region would collapse. International connections/dependencies between suppliers in industry affect this negatively, however.
Be careful about US and GB being rather overweight due to historic accumulation of financial institutions, which only really have an imaginary value not tied to any tangible assets. Thus market-cap weighting gives them a far bigger share of your assets than benefits you in hedging localized economic risk.
May be off topic, but is this the reason why BoFA does not need us to issue a travel advisory? Because they are getting our location data and can flag fraud?
This reminds me when I was roaming around Annapolis, MD, I spotted one of the many markers around the historic downtown, about how utility workers stumbled upon clay pipes when they were servicing underground water pipes.
I am following your discussions on the GraphBLAS email list. Are you interested in the distributed-memory API of GraphBLAS (for clusters, typically over MPI) or can you make use of it if it were available (you may know, CombBLAS already has a distributed-memory implementation)?
Yes, I have only reviewed ComBLAS's documentation, but would eventually like to dig into it deeper. A thought I had for distributed graphs would be something like support on top of a distributed store like citus, where shards hold subgraphs. This may be an interesting way to sidestep Postgres' 1GB limit on varlena objects as well.
Edit: I'd forgot to ask, do you have some ideas on the subject? I'm all ears.
Thanks for the clarification. I basically wanted to know if database systems could make use of existing distributed-memory HPC programming models, and it seems that there is a possibility, however engineering efforts might be significant.
I really have no experience with database engineering, and I am not sure if MPI and Citus will play out well.
I hope you are considering submitting a paper/poster at HPEC'19 for your current work (http://www.ieee-hpec.org/), I think that's a good venue to engage with the GraphBLAS community in person.
What about something like kdb+/q? I realize it is proprietary software, but it is an array language with super fast vector operations designed to operate on distributed data. I was actually thinking about how well graphBLAS might map to this system. I work in academia, so the non-commercial license is applicable, but I see how it might be an issue for some.
I just realized upon reading this that I might have car sickness too (and that it's a real thing). It's worse if I sit at the back, usually its a concoction of strange feelings, mild nausea, weird pangs of pain...
