An even better post here on how the Flynn Effect and Reverse Flynn Effect was never real in the first place: https://www.cremieux.xyz/p/the-demise-of-the-flynn-effect
56 karma · joined November 14, 2017
While Clickhouse can be lightning fast, is it really designed to be a main backend database?
In my opinion, it's far too easy to make a critical mistake during design/implementation of ML to follow this same path. And what's more, if you mess up making an analytics dashboard, it's usually fairly obvious. In ML, there are MANY ways to mess up a model and you have no easy way to tell.
If someone doesn't have the technical experience behind creating these models, I would not trust any output they give me from using one of these tools. And if they do have the experience, they would certainly not be choosing to use one of these tools either.
Obviously not all 25000 employees would get an extra 1k, but the point being...these things can scale significantly when you're talking about Amazon. It's not a trivial thing for SMBs to fill the void that Amazon is leaving.
>They each have a rewards program which grants one free night for every night stayed.
It's a lot more fair to say for every $1000 spent, you have enough points to redeem a free night. In which case, some people might choose to spend more nights at the cheaper Fairfield Inn, and some might choose to stay fewer nights at the luxury Ritz. The bad money is not driving out the good.
It's true when it comes to qualifying nights, people will try to hit elite night requirements at cheaper properties. But that's not driving out the business for higher-end properties. Especially because award redemption is (mostly) based on how much you spend, not how many nights you stay.
Using machine learning to parse text helps, but it's still not a perfect solution.
Sex Differences in Cognitive Abilities by Diane Halpern is another important work in this subject. It was published back in 1986, so the research on topic has been going on for decades. During that time, virtually every piece of research supports the claim that innate differences in mental abilities exist between the sexes. The extent of those differences is hard to measure, but this new paper is nothing new. It's just adding more support to an already large body of evidence.
We're also using a more sophisticated approach than most bots I've read about, and we continuously train out model on new data. Even so, we would only expect to win 7 out of 100 games.
Our goal was not to hurt the HQ community, but rather to challenge ourselves into solving a difficult data science problem.
Those are generally rare questions though because difficult questions for bots are also difficult questions for humans. HQ can't have too many of those questions without degrading the player experience.
Because of that, I don't think we will ever get beyond 10/11 questions right per game. That still leads to a decent chance at winning at least one game per week though.
The trickiest questions were relational questions (e.g. What's heavier, a pineapple or a Siamese cat?). Would appreciate any feedback on our approach (and happy to answer questions!).
It's essentially a self-fulfilling prophecy.
The problem is getting debt financing...but I would imagine debt financing would make sense for 99.99% of startups.
While Bitcoin might have some floor as an investment at this point, it's nowhere near as stable as gold. Equating the two makes very little sense. It would more accurate to compare this to the Tulip bubble than to the gold rush days.