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Leonardo Da Vinci's Biography by Walter Isaacson:

https://www.amazon.com/Leonardo-Vinci-Walter-Isaacson/dp/150...


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I dont know what you guys expect. Its an opportunity to learn at $10-$20 a course. Yeah a course can be bad, but so can a book.

The sales part is definitely dishonest, but as far as people who make content, if they get more $$ on youtube, why dont they post on youtube?


Good article. I think a lot of times, including with myself, design is used as a "hack" to somehow skips steps. It's not like IDEO had to design the whole mac, or design how the FIRST mouse would work, or the wiring, or the bluetooth. They had these tools and had to put them together, with already. If there is a goal way too far out and "design" is supposed to get you there, I would guess there will be a lot of speedbumps on the way.

Was the iPhone design thought largely out of thin air? Or was it brought about by people who understood and worked the the technology for years and that is what drove the design focus?


A great, great podcast on the whole Nintendo/Sony early saga is:

Business Wars -> Nintendo vs Sony series

Highly recommend.

https://www.stitcher.com/podcast/wondery/business-wars/e/544...


Just going by description and the "red book" it seems like its Auto Mechanics Fundamentals:

>>> "It is the aim of Auto Mechanics Fundamentals to provide a thorough understanding of the design, construction and operation of automotive units. Each unit is approached by starting with basic theory, then parts are added until the unit is complete. By following this procedure, the function of each unit is explained, and its relationship to the complete car is made clear. Hundreds of illustrations were drawn especially for this text. Important areas are featured in these drawings, and many are exaggerated to place emphasis on parts being discussed. Unfamiliar words are defined immediately following the words. In addition, the Dictionary of Terms in the back of the book defines more than 1,100 terms..."

https://www.amazon.com/Mechanics-Fundamentals-Construction-O...

(This one is blue but there is another version in red)


I agree, Google is not enterprise focused as far as I can tell. Microsoft is and that why Azure has been able to do so well so quickly.

It's impressive to me that Amazon was able to shift focus to AWS without much existing presence in enterprise tech stacks.


Steve Yegge's classic platforms rant gives some insight into why Amazon was ready for the cloud: https://gist.github.com/chitchcock/1281611


I find that impressive too - completely different to its core business. Totally flies in the face of any advice to stick with the business you know.


Amazon getting into on demand hosting early is in it's DNA. If you look at them as a business that grew up on earning profits on very small margins. And that early on demand hosting was pretty low margin, that in their case also let them offset some risk of building data centers earlier than they would have otherwise.


Interesting viewpoint - also achieving profit through massive scale is their DNA as well I would say.

Still though, enterprise is a tough domain in my experience, AWS did a great job


Bezos graduated summa cum laude electrical engineering and computer science and then had a fair part in building out Amazon's own infrastructure. He probably knew that stuff quite well even if it was only a support to the core business.


The difference between AWS and Gcloud is the ability to have a human conversation 1 click away. Shouldn't be that hard to replicate for Google.


Not too well on mathematical proofs, but to me this sounds like the "proved" something by not being able to disprove Batchelor's law?

Also, the part about randomness makes sense in theory but the jump to an actual proof seems a little wide to me.

Are many mathematical laws proved in this way?


From the article:

> In their first paper, the mathematicians focused on what happens during the mixing process to two points of black paint that begin the process right next to each other. They proved that the points follow chaotic paths and go off in their own directions. In other words, the nearby points can’t ever get stuck in a vortex that will keep them close forever.

> “The particles move together initially,” Blumenthal said, “but eventually they split apart and go in completely different directions.”

> In the second and third papers, they took a broader look at the mixing process. They proved that in a chaotic fluid, generally speaking, the black and white paint mixes as quickly as possible. This further established that the turbulent fluid doesn’t form the kinds of local imperfections (vortices) that would prevent the elegant global picture described by Batchelor’s law from being true.

> In these first three papers, the authors did the hard mathematics required to prove that the paint mixes in a thorough, chaotic fashion. In the fourth, they showed that in a fluid with those mixing properties, Batchelor’s law follows as a consequence.

So no, they are not "proving something by not being able to disprove it." A better way of phrasing their strategy is, "proving something by proving that disproving it is impossible."

In Computer Science, there is a similar concept for proving asymptotic bounds of algorithms called an "adversarial proof." The idea is, given some query that your algorithm performs (e.g. in a graph algorithm, a query could be "are two vertices connected") come up with a worst-case adversary that answers queries in the absolute worst way possible, that would necessitate even more queries to complete the problem. In this way, you can prove a universal lower bound for the cost of solving some problem. See [1].

In this case, the adversary is trying to come up with the worst-case initial conditions for this particular brand of turbulence. Basically they are saying, no matter what, you couldn't come up with an initial condition that challenges Batchelor's law more.

[1] https://www.cs.cmu.edu/afs/cs/academic/class/15451-s20/www/l... Section 3.2


> proving something by proving that disproving it is impossible.

No, I take issue with this phrasing as well. There are things that can neither be proven or disproven (by godel's theorem), proving that disproving it is impossible would not have been sufficient.

Without having read beyond what is in the article, I imagine what they must have shown is that

1. For all systems x, if x does not obey Batchelor's law than neither would the thing they are talking about in the 4th paper.

2. The system they are talking about in the 4th paper obey's Batchelor's law.

The immediate corollary is all systems obey Batchelor's law, otherwise you would have a contradiction (the 4th system both would and would not).


> No, I take issue with this phrasing as well. There are things that can neither be proven or disproven (by godel's theorem), proving that disproving it is impossible would not have been sufficient.

Yes, but this is only a trivial mis-speaking in what is obviously meant to be a description of proof by contradiction: proving something by showing that its opposite is impossible (not that disproving it is impossible).


Interesting, I'll have to take a closer look at the papers themselves (although I am a mere mortal with insufficient background to get it fully).


> but to me this sounds like the "proved" something by not being able to disprove Batchelor's law?

Not quite. The statement is more like, if Batchelor's law were to fail, then it has to be in one of the following specific ways. Then you show that these specific ways can't happen and get the result.

This is a common approach and needs a few ingredients:

- How could things go wrong?

- Show that these are all possibilities and that otherwise things work (hard problem).

- Isolate each scenario from the first step and show that things don't go wrong (hard problem again).

A classical example would be something like global existence for the two-dimensional Euler equations. If the solution were to fail after a finite time, then necessarily some quantity has to go to infinity, because otherwise we could find a solution for a small additional time (Beale-Kato-Majda criterion). We then show that this quantity does not go to infinity and we are done.


I see, very helpful, thanks. But doesn't this leave room for what you potentially have not accounted for? I am just trying to wrap my head around how one can write a proof by saying something doesn't occur


Good question. That is part of the second point. You have to show that there is no room left.

For example say you want to show that a real valued solution stays bounded. Then you have to show that a solution always exists, starts at some small value and "it never occurs that the absolute value of the solution is bigger than 1000". Because you ruled out other scenarios this then implies that the solution is always bounded by 1000.


Journaling every night - journal about anything - just write


This seems like a complicated way of explaining supply and demand?


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