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It exists in the US as well (Zelle), except due to the super high number of banks, not all will have feature parity / have it enabled. The major banks like Chase support QR code scanning for instant transfers, smaller ones might require a phone number or email input via keyboard.


It will exist soon in the US since FedPay was rolled out this year. It will take a while for banks to support it, but my guess is everyone will support it as replacement to ACH.

I don't think Venmo will die since there is a need for app to provide nice interface. But Zelle has been lobbying against FedPay since it will destroy them.


Venmo is probably even more popular than zelle


Is it clear if it uses the rotors in flight for lift or for forward movement? I think it would be wrong to call it a helicopter if the only time the rotors provided active lift was during take off / landing. There are fighter aircraft which fire thrusters downwards to achieve VTOL, but calling them rockets would be funny.


There is no consistent scale on that graph, so any local maxima of reports received would look similar to any other.


Exactly this. FB topped out around 520,000 reports. Google topped out around 1,400. That's a massive difference in scale.

Both are above their baselines, but I bet some is just mis-reports, or increases in awareness due to more people checking in.

Meta seems to be the only one really affected from what I can tell.


We saw a big spike in latency and failures on the Google OAuth apis starting at the same time (15:21 UTC)


I made that same mistake after seeing someone post an unlabeled set of graphs to a Slack. The Google peak reported outages is about 0.25% of the Facebook peak. It seems reasonable some people just made a mistake.


This was a historic period for low rates, but rates have been higher and have been changed faster before, for example during the late 70s / 80s. It went from 4-5% to nearly 20% over the span of a couple of years.


Data point of just 1, but even in a small college town in the Midwest US, 50% or more counters at the grocery stores I've visited have been self checkout. Some places are almost entirely self checkout, to the point where if you need assistance it's hard to find an actual person employed by the store.


Same experience in a _very_ small college town in Midwest US. Though, the walmart did just "upgrade" their self checkouts. They improved nothing! They added a bunch more cameras and apparently the thing now has some predictive visual algorithm that will not allow you to scan multiple identical items at a time. They still haven't added the tap to the card terminal! Just let me tap! Everyone else does, crazy they haven't figured that out yet. They also have started making their greeters check receipts, which is insane knowing the culture of the again incredibly small town. I just walk right past them. Check my receipt in hell, nice old lady or wheelchair bound man, i got places to be!


Venture Capital and Hedge Funds are similar in the sense of "they both invest money and try to make superior returns". Just like all software is similar since "it uses computation to do useful stuff".

Venture Capital firms rely a lot more on deal flow and network effects. Their focus is usually on early stage private financing. There are certainly hedge funds which also do similar investing, but by and large they don't play a role during the investing process and largely work with public securities and other instruments. This is also why VC and PE industries tend to hire from B schools, and look for backgrounds very different from hedge funds which by and large tend to pick students from more quantitative or scientific disciplines.


That global persistence model across executions is very fascinating. If you don't mind, could you explain what line of work this is and how it helps the use case? I have encountered similar concepts at my old job in a bank, where programs could save global variables in "containers" (predates docker IIRC) and then other programs could access this.



These days, Mumps is mostly used in elderly systems in the insurance and banking industries. In my case it is banking. I work at Capital One and one of the financial cores we use is Profile from FIS, which is (at least in older versions) built in Mumps.


A lot of finance companies sponsor events / prizes like this simply as a means of advertising and PR. If you come across this prize as a math student, now XTX is in your head and maybe you'll look them up and decide to intern there. And 10m is a drop in the bucket for such goodwill and PR, especially because anyone who has the skills to win this can surely be hired and make them as much money.


https://imo-grand-challenge.github.io/

This is a similar contest where the plan is exactly as you describe - to develop a way to solve formal descriptions in Lean of IMO problem.


I know this comment is just adding on to the joke, but the number of people who can speak / read English in India is very high. There are more English speakers in India than multiple large European countries combined.


Maybe so, but Indian English practically its own dialect at this point.

Nothing wrong with that, but the responses I get from ChatGPT are not in that dialect. (Who knows, maybe by paying for ChatGPT Plus I qualify for an upgrade to the Irish data center.)


I said Elizabethan English, not English. As in Shakespeare. The point is that there are probably at most a few thousand people in the world who could display that level of competence at making Shakespearean rhymes. And I doubt enough of them work in call centers in India to service the entire user base of ChatGPT. Nothing about my comment implies that there are not millions of competent English speakers in India.


Realistically there could be a mix of genuine LLM magic combined with heavy on the spot curation by massive teams of incredibly smart people.


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