Recent submissions

Comment · 4 years ago
But I still need to send a SQL query to the database. How does a Datalog engine in Rust help me?
Comment · 4 years ago
What would be the practical use cases of using something like this as a library in your application?
Comment · 4 years ago
Maybe I'm missing something but is it a problem if SHIB is 20% of their reserves if 20% of what users are keeping on the exchange is SHIB? Of course we don't want what people actually deposited since it's a centralized exchange with no transparency. But by itself this isn't really a red flag...
Comment · 4 years ago
"I feel for every single person, every single family. But one thing I'm really excited about is that they are really smart people... they will surely buy this token that I've just invested in"
Comment · 4 years ago
> FTX US and FTX [dot] com initiated precautionary steps to move all digital assets to cold storage

What assets?

Comment · 4 years ago
Time to start a hedge fund with this trick. Let's see if Sequoia wants in.
Comment · 4 years ago
This. I wonder how this site can get it so wrong and I hope this wrong interpretation doesn't spread. As a native German speaker, "Eierlegende Wollmilchsau" has a clear negative connotation, not a positive one, and means feature bloat.
Comment · 4 years ago
I'm curious what happens if you look at your returns and other metrics at different time scales, i.e. monthly and weekly, in addition to yearly. You can't make any argument based on a sample size of 2.

As someone who used to work in the industry, I am 99.99% confident that you cannot have any alpha with a system like this, you are basically flipping coins, as some other commenters have pointed out.

Comment · 4 years ago
Many smart people are drawn to solving intellectually challenging problems. That's why many end up in academia doing research even though the research may never be useful in the real world. There are many challenging cryptographic, game-theoretic, and economic problems in the blockchain space. This, and of course the money, is probably what attracts people.
Comment · 4 years ago
I'm really sad our culture is encouraging this. I know this is an unpopular opinion and may be seen as gatekeeping by some, but I believe that these "learn X in Y weeks" for deeply technical topics (it's totally fine for X framework) do more harm than good. People who rely on these usually have no real understanding, and just slap something on their resume. As someone involved in hiring, I actively treat anything like this on a resume as a big red flag. If you say you know ML but list some short-term course, I know that you're exaggerating and likely don't have a real understanding. This also tells me that you are likely exaggerating in other parts of your resume and profile too [0]. The same goes for projects. If your "projects" consist of simply calling X library with new data and doing nothing novel, that's a red flag more than anything else. I see this a ton: Just fork some Github project and make a few tiny changes and put it on your resume.

On the other hand, I respect people who are willing to spend the time and effort to truly learn something from scratch. Start with a basic math and ML course, then go on more difficult ones, read papers, implement papers and projects, and so on. The same goes for other topics such as distributed systems, compilers and programming languages, etc. There are no "learn X in Y weeks" shortcuts. I understand that not everyone may be able to do this and many will give up along the way, and I don't think that's a bad thing. It's a great filter.

[0] https://en.wikipedia.org/wiki/Falsus_in_uno,_falsus_in_omnib...

Comment · 4 years ago
That's how you end up with Google, Apple, and Facebook, Twitter, etc. They may start out as providing a service that works, but over time as they get bigger the incentive structure pushes them towards monetizing your data, locking you in, building boundaries around who can access what (e.g.Twitter APIs), and sharing data with parties you don't want to share it with.

One way to avoid this lock-in is to change the underlying incentive structure. That's what the blockchain does. The fundamental difference is not about centralized vs. decentralized, it's about the incentives that are a result of centralization vs decentralization.

Comment · 4 years ago
I would imagine it's because they want to avoid people building bots and creating businesses around accounts creation and selling. Once you have such a secondary market you get a cheap supply of accounts due to outsourced labor or bots. This devalues the in-game purchases. Why would I spent more money in-game if I can just buy a cheap account?
Comment · 4 years ago
The model is extremely standard in mobile games, especially in Asia, where it has been the norm for almost a decade in gacha games, and where people are used to paying and gambling. They all have the same mechanics, or variations of them, Diablo doesn't really do anything innovative here, but it certainly is on the aggressive side.

A lot of the outrage comes from the fact that 1. Diablo is originally a PC-based IP with a PC gamer fanbase, and PC gamers are used to different monetization schemes and generally don't play mobile games. Even without the gambling mechanics, there already was a huge backlash about Blizzard making a mobile Diablo game 2. Diablo is a "western" IP where such monetization schemes are less common and the penetration of PC players is higher compared to other parts of the world where mobile game penetration is higher.

> And can "winning" result in a financial reward

Generally speaking, no. There are no competitions for these kind of games. The only way you could cash out would be to sell your account, which is against the ToS, but commonly done nonetheless.

Comment · 4 years ago
Add to that lotteries, or pretty much anything that has random outcomes. Even if you don't gamble with cash, but something like Pokemon cards or digital items, there will always be secondary markets that let you cash out. If you want to ban these things, you'd have to ban all randomness.

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