inverse_pi

Does marketing and R&D cost grow linearly with number of rides though?

Touche :)

like i said it's reasonable to drive for all at different points in the past but it's unreasonable to drive for all 4 at the same time. Think about it, incentive-wise, if you complete 50 trips you got $x , if you complete 100 trips you got $2x. If you only got 50 trips in you, why are you splitting them between two apps 25 trips each and got $0 incentive?

it's economically unreasonable to drive for more than one apps simultaneously. Now, it could be economically reasonable to drive for more than one apps at many points in the past.

If Lyft and Uber are so easily exchangeable, why is Lyft is still a minority in the US while spending more money?

There's something more interesting here.

> and early engineers paper millionaires

actual millionaires not paper millionaires :).

> but will hopefully blow up

why do you wish others to fail so bad?

> Uber has a global operations, is in multiple streams of business and has diversity across business lines

This can be a reason why one would be more interested in Lyft. Uber seems like a distracted player who's losing money on many other markets and businesses, not to mention hundreds of millions of dollars on self-driving cars (and flying cars?!). Lyft is much cheaper (15B valuation), while Uber is much more expensive (120B?). If I invest 1B in Uber, my money would vanish in 1 quarter (yes they're losing 1B/quarter). Those 1B dollars would be split to invest in flying cars, uber eats freight bike/scooter, battles in India Middle East. On the other hand, if I invest 1B in Lyft, I'm sure those 1B would go towards gaining market shares in the US which is by far the most important market for the two players.

Second of all, personally I think if Lyft failed and the stock dropped by half. Some other dominant players would look to acquire Lyft. I'm thinking about Google's Waymo One plus Lyft's network. Apple seems to have a lot of cash to burn also, and they're also developing SDC. On the other hand, Uber's share price has to drop more than 10x in order for it to come close to a reasonable acquisition price.

There's a long version and a short version. The long version is you have to learn to write mathematics by yourself. Start with an intro course and start deriving theorems by yourself. Do not look at the proofs. At this stage, details are very important and can't be overlooked. You need to be your own critic and keep asking why and how to every single detail and step until you can convince yourself that you would be able to naturally come up with the theorem and proof. Continue doing this to higher level courses. This is how I learned Math since middle school all the way throughout graduate school.

The short version is you have to ask the right questions. Naturally for every theorem or equation, there are 3 big questions:

1) What does the theorem/equation say? What's the intuition behind it?

2) Why is it true?

3) How does one come up with it?

One must ask these questions in the exact order. To understand what the equation really means, you should break it down further to smaller components. What is this variable? What does it represent? What is the intuition behind what it represents? What's the implication when the variable increases, decreases, etc? Do that for every single component in the equation/theorem. One should fully understand the intuition and clearly describe all quantities before trying to look at the equation/theorem as a whole.

To understand why an equation/theorem is true you need to build up a repertoire of theorems related to the quantities of interest. The bigger your repertoire, the easier you can prove or disprove something. The more advanced way is to build up intuition around the quantities of interest then come up with intuitive hypotheses. The hypotheses are often easier to prove/disprove. The process repeats.

Here's a two sentence summary of SOTA:

- model free methods have seen great success in terms of learning high dimensional tasks however it suffers from being sample inefficient. In other words, it takes too long for real robots. Examples of these methods are TRPO, PPO, ES, etc

- model based methods is an order of magnitude more efficient, and thus, are more practical on real world robots. However, these methods have high bias and most working models are simple in terms of representation power, e.g. GP, time varying linear, mixture of Gaussians,. Examples are PILCO, GPS, PETS, etc

Of course, SOTA is a lot more complicated but it's a short explanation to your observation.

From the description it does sound like blink dagger and the range here refers to radiance or necro's heartstopper. It's definitely not "previously undiscovered". Also, the article makes it sound like we saw another AlphaGo's 3-3 invasion, 5th line shoulder-hit kind of moment. We did not. This is more similar to AlphaGo and Fan Hui match, except imagine AlphaGo lost to Fan Hui. The bots did make a lot of interesting moves in 5 invincible chicken meta. The bots appeared very weak in normal meta (constantly check rosh for no reason, inefficient use of ults, don't get me started on warding, etc)

Nothing is really a secret in SV. Do you think Waymo engineers are going to stay at Waymo for the rest of their lives? Look at Chris Urmson, AL, etc.

Explaining why this doesn't work is a great ML interview question.

The surprising thing to note here is how much optimism the street has in $twtr. Just one quarter of small beat and the stock jumped 100%. After the drop today (to $34) it's still too high for $twtr which hasn't actually proved anything since the stock was high teens low 20s. If anything, their live streaming effort is pretty much down the drain, and Anthony Noto, who's pretty much the heart and soul of Twitter operation, left. I'm super surprised the stock is still mid 30s.

Very impressed with some of Voyage's recent hires. A question for @olivercameron,

What makes Voyage different? From what I understand, you pick canonical routes inside private communities. Let's assume demand on these routes are high enough, and there are enough private communities to make a significant market. What prevents Google from coming in and mapping the area in a week and run you out of business? Let's say, hypothetically, I'm a self driving car engineer, why would I pick Voyage over other big players who have a lot more capital and much bigger team with a lot more people like Drew Gray?

Yes but no one plays serious in All Random mode. Supports are called supports for a reason, they're strong early game without a lot of items. Some gave early ganking, counter-ganking abilities, some have healing, harrasing abilities or really good early stats. Carries are stronger mid game and late game because naturally they're weaker early game. Because of this, you need to specify farming position, setup ganking, rotation, early game. All of these strategies will be gone if you play All Random. Basically it becomes a 2k pub trash game and no one > 4k mmr actually practices all random daily. Unless you're in SEA where people just first pick carries :) :) :)