Yup, same with any kind of betting - sport, even draw games. There are obviously stories that someone managed to "game the system", like a man who figured out how to find winning scratch cards (Mohan Srivastava case) or Željko Ranogajec winning in Keno, but the point is that in the first case it was luck + skills, in the second it was overcoming the TOS by creating a lot of fake accounts, that's why the guy had to give his win back (details of the agreement were not revealed).
You bet against skilled people who set the stakes, so, yes, by observing numbers you can win in Keno, but if you comply to the TOS you will not win big money. The only chance to be able to "game the system" is to bet on something that lotteries brokers does not have time to look at, like 3rd Bulgarian bocce league matches.
The problem is that you need to somehow become an expert in 3rd Bulgarian bocce league and the money which are there are generally small.
I was investigating this (again) when AI showed up, as in theory it makes easier some analysis, but the big guys are also using AI.
Most sports betting markets have a degree of unpredictability, and bookmakers will ban sharps (those falling outside the statistical norm or continually hitting lines just before the market moves).
Betting on a final score in most markets is fine.
When betting gets extremely narrow and specific e.g. "Player X will be subbed on for Player Y" it gets morally dubious.
There is a lot of overlap with insurance markets. The incentives have to be aligned (life insurance) with sensible guard rails against abuse (cooling off periods to be covered for suicide)
Because it allocates RAM up front by default. You can reduce that yourself with a single flag. You'd be surprised how far you can tune down modern Java and still run faster than Go. I did this on the benchmark games and some of those programs that used so much RAM didn't need any of it.
There's little about Go's design that is more "Ram efficient." That's not what it was made for. It's for low latency, and if you want that in Java, there are other GC's that can do that (with similar tradeoffs to Go).
We've been through that so many times. When UML arrived (and ALM tools suites, IBM was trying to sell it, Borland was trying to sell it, all those fancy and expensive StarTeam, Caliber and Together soft), then BPML and its friends arrived, Business Rule Management System (BRMS), Drools in Java world, etc.
It all failed. For a simple reason, popularized by Joel Spolsky: if you want to create specification that describes precisely what software is doing and how it is doing its job, then, well, you need to write that damn program using MS Word or Markdown, which is neither practical nor easy.
The new buzzword is "spec driven development", maybe it will work this time, but I would not bet on that right now.
BTW: when we will be at this point, it does not make sense anymore to generate code in programming languages we have today, LLM can simply generate binaries or at least some AST that will be directly translated to binary. In this way LISP would, eventually, take over the world!.
Yup, that's why molls were so successful. They were deteriorating because of Internet, as a new "moll", covid speed up the process. But, frankly speaking, molls also killed many mom & pops shops scattered in the cities. So this is just evolution, I am not sure if it goes in the right direction, but consumers have the last word and they have spoken, even though, in the long run it hurts them.
moll | mäl |
noun informal, dated
1 (also gun moll) the female companion of a gangster or other criminal: I'd rush the money over to his moll.
2 a prostitute.
"I have no idea why it's so hard for people to pick up the Librechat tool we're given access to through our equity fund"
That's because M365 is integrated with the whole Office/Exchange environment, especially in terms of security policies, etc. MS also guarantee that the data are private, this is very important for many companies both from the IP protection perspective and the liability to expose some users/customers data (think of GDPR regulations is Europe).
I don't know who is behind Liberchat, probably some good and friendly folks, but when it comes to privacy/security Microsoft has much more to loose and if shit happens it is easier to sue them than some random VC-financed company from the USA.
This tells a lot of about your dad - he must be an amazing person, so he was ready to learn something from his kid. Not everyone would be able to admit that 9 y.o. can teach him something :)
Well, not only Russia, there is a number of other countries that also do this. So don't count on wikipedia on any topic that might be politically difficult for someone.
Why this is surprising? This is exactly kind of task LLM excel best. This is all about text analysis and searching patterns in it? More, for a pretty long time (like 10 years) we had systems that were detecting copy-pasted master/PhD thesis, they are used commonly by majority of universities.
You bet against skilled people who set the stakes, so, yes, by observing numbers you can win in Keno, but if you comply to the TOS you will not win big money. The only chance to be able to "game the system" is to bet on something that lotteries brokers does not have time to look at, like 3rd Bulgarian bocce league matches.
The problem is that you need to somehow become an expert in 3rd Bulgarian bocce league and the money which are there are generally small.
I was investigating this (again) when AI showed up, as in theory it makes easier some analysis, but the big guys are also using AI.
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